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Water, Volume 17, Issue 3 (February-1 2025) – 135 articles

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13 pages, 2519 KiB  
Article
Impacts of Changing Temperatures on the Water Budget in the Great Salt Lake Basin
by Grace Affram, Jihad Othman, Reza Morovati, Saddy Pineda Castellanos, Sajad Khoshnoodmotlagh, Diana Dunn, Braedon Dority, Katherine Osorio Diaz, Cody Ratterman and Wei Zhang
Water 2025, 17(3), 420; https://doi.org/10.3390/w17030420 (registering DOI) - 2 Feb 2025
Abstract
Quantifying the water budget in the Great Salt Lake (GSL) basin is a nontrivial task, especially under a changing climate that contributes to increasing temperatures and a shift towards more rainfall and less snowfall. This study examines the potential impacts of temperature thresholds [...] Read more.
Quantifying the water budget in the Great Salt Lake (GSL) basin is a nontrivial task, especially under a changing climate that contributes to increasing temperatures and a shift towards more rainfall and less snowfall. This study examines the potential impacts of temperature thresholds on the water budget in the GSL, emphasizing the influence on snowmelt, evapotranspiration (ET), and runoff under varying climate warming scenarios. Current hydrological models such as the Variable Infiltration Capacity (VIC) model use a universal temperature threshold to partition snowfall and rainfall across different regions. Previous studies have argued that there is a wide range of thresholds for partitioning rainfall and snowfall across the globe. However, there is a clear knowledge gap in quantifying water budget components in the Great Salt Lake (GSL) basin corresponding to varying temperature thresholds for separating rainfall and snowfall under the present and future climates. To address this gap, the study applied temperature thresholds derived from observation-based data available from National Center for Environmental Prediction (NCEP) to the VIC model. We also performed a suite of hydrological experiments to quantify the water budget of the Great Salt Lake basin by perturbing temperature thresholds and climate forcing. The results indicate that higher temperature thresholds contribute to earlier snowmelt, reduced snowpack, and lower peak runoff values in the early spring that are likely due to increased ET before peak runoff periods. The results show that the GSL undergoes higher snow water equivalent (SWE) values during cold seasons due to snow accumulation and lower values during warm seasons as increased temperatures intensify ET. Projected climate warming may result in further reductions in SWE (~71%), increased atmospheric water demand, and significant impacts on water availability (i.e., runoff reduced by ~20%) in the GSL basin. These findings underscore the potential challenges that rising temperatures pose to regional water availability. Full article
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<p>Daily total discharge from the main tributaries of the Great Salt Lake (i.e., the Bear, Weber, and Jordan rivers) for the 2020 to 2023 water years (see Methods in <a href="#sec2dot2-water-17-00420" class="html-sec">Section 2.2</a>).</p>
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<p>The spatial distribution of temperature thresholds across the western U.S. for partitioning rainfall and snowfall derived by the decision tree method (refer to Methods). The size of the dots represents the number of observations/stations in thousands, while the color represents their various temperature thresholds.</p>
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<p>Monthly (<b>a</b>) precipitation, (<b>b</b>) snow water equivalent, (<b>c</b>) evapotranspiration, and (<b>d</b>) runoff across the Great Salt Lake basin simulated by VIC experiments in which four temperature thresholds (i.e., 0 °C, 2 °C, 3 °C, and 5 °C) were tested for the 2020 to 2023 water years (see Methods).</p>
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<p>Monthly (<b>a</b>) precipitation minus evapotranspiration (P − E) and (<b>b</b>) runoff + changes in water storage (<span class="html-italic">dS</span>/<span class="html-italic">dt</span>) simulated by VIC according to each temperature threshold during the water years from 2020 to 2023 across the Great Salt Lake basin. The top inscriptions represent the correlation between [P − E] and [Runoff + <span class="html-italic">dS</span>/<span class="html-italic">dt</span>] as well as its <span class="html-italic">p</span>-value.</p>
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<p>Monthly (<b>a</b>) air temperature, (<b>b</b>) snow water equivalent, (<b>c</b>) evapotranspiration, and (<b>d</b>) runoff across the Great Salt Lake basin simulated by the VIC model, where the original temperature forcing was increased by 0 °C, 2 °C, 3 °C, and 5 °C for the 2020 to 2023 water years (see Methods).</p>
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<p>Monthly (<b>a</b>) precipitation minus evapotranspiration (P − E) and (<b>b</b>) runoff + changes in water storage (<span class="html-italic">dS</span>/<span class="html-italic">dt</span>) simulated by the VIC model according to each temperature scenario during the water years from 2020 to 2023 across the Great Salt Lake watershed. The top inscriptions represent the correlation between [P − E] and [Runoff + <span class="html-italic">dS</span>/<span class="html-italic">dt</span>] as well as its <span class="html-italic">p</span>-value.</p>
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<p>Spatial map of historical (i.e., 1979–2020) and future (i.e., 2075–2100) (<b>a</b>) temperature and (<b>b</b>) precipitation composites across the Great Salt Lake watershed.</p>
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23 pages, 4459 KiB  
Article
Assessment of the Potential of Small Beads Reservoirs to Mitigate Climate Change Impacts in Urban Areas
by Wanda Jarosz, Witold Mandrysz, Barbara Kalinowska-Wójcik, Jakub Grudniewski, Natalia Janczewska, Edyta Sierka, Damian Absalon, Łukasz Pieron, Marcin Lipowczan, Anna Piekarska-Stachowiak, Magdalena Matysik, Dawid Depta, Weronika Walkowiak, Magdalena Biela and Andrzej Woźnica
Water 2025, 17(3), 419; https://doi.org/10.3390/w17030419 (registering DOI) - 2 Feb 2025
Abstract
This study examines historical water management practices as a means of addressing climate change, focusing on the Tyski Stream catchment in Upper Silesia, Poland, a region marked by extensive urbanization and industrial evolution. It investigates the effectiveness of historical hydrotechnical systems, such as [...] Read more.
This study examines historical water management practices as a means of addressing climate change, focusing on the Tyski Stream catchment in Upper Silesia, Poland, a region marked by extensive urbanization and industrial evolution. It investigates the effectiveness of historical hydrotechnical systems, such as bead-like ponds from the 15th to 18th centuries, in enhancing water retention, reducing flood risks, and supporting ecosystem services. In a critical period, over 54 years (1827–1881), the number of reservoirs decreased from 142 to 31 (the area of ponds decreased from 161 to 32 ha). Throughout the entire period, between 1748 and 2017, the surface area of the analyzed reservoirs decreased from 163 ha to 16.8 ha. This was related to progressive industrialization, urban sprawl, and changes in legal frameworks, such as land ownership laws, leading to ecosystem degradation, loss of biodiversity, and altered hydrological processes. The research emphasizes the potential of reviving historical water management systems on natural processes to mitigate the impacts of climate change. By analyzing historical cartographic resources, this study assesses the feasibility of reconstructing lake systems in areas with similar topographic and hydrological features. It also stresses the necessity of community engagement and securing widespread social and political support to ensure public acceptance and the success of renaturation initiatives. The findings indicate that restoring these systems can offer diverse benefits, including improved water management, enhanced biodiversity, and greater urban resilience, while addressing the socio-political complexities of implementing large-scale environmental restoration projects. The aim of this study is to utilize archival materials for engineering solutions to prevent flooding and enhance water retention. Full article
(This article belongs to the Section Water Resources Management, Policy and Governance)
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<p>Location of the Potok Tyski catchment area: (<b>A</b>) in Europe; (<b>B</b>) in Poland; (<b>C</b>) in Silesian voivodeship and (<b>D</b>) map of Potok Tyski catchment area (Open Street Map).</p>
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<p>Analysis of spatial development of Potok Tyski catchment area: (<b>A</b>–<b>D</b>) based on Urban Atlas 2018 and (<b>E</b>,<b>F</b>) based on Urmeßtischblatt (1827). For comparison, in Figures (<b>C</b>,<b>D</b>), land use types were aggregated to the types presented on the Urmeßtischblatt map.</p>
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<p>Inventory and classification of water reservoirs and river networks of Potok Tyski catchment area over the centuries according to (<b>A</b>) Hindenberg 1636; (<b>B</b>) Wrede 1748–1749; (<b>C</b>) Urmeßtischblatt 1827; (<b>D</b>) Meßtischblatt 1881; (<b>E</b>) orthophotomap + MPHP 10K (2017).</p>
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<p>Analysis of the location of former bead-like ponds pearl reservoirs using DTM 2012 in a highly urbanized area. (<b>A</b>) Location of the area of the analyzed former reservoirs against the background of a hypsometric map (red frame); (<b>B</b>) former reservoirs against the background of a hypsometric map; (<b>C</b>) catchment profile in the line of reservoirs of the upper section of the Tyski Potok catchment. Location of reservoirs based on Urmeßtischblatt (1827).</p>
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<p>Analysis of the location of former pearl reservoirsbead-like ponds using DTM 2012 in a poorly urbanized area. (<b>A</b>) Location of the area of the analyzed former water reservoirs against the background of a hypsometric map (red frame); (<b>B</b>) former water reservoirs against the background of a hypsometric map; (<b>C</b>) catchment profile in the line of reservoirs of the upper section of Tyski Potok catchment. Location of reservoirs based on Urmeßtischblatt (1827).</p>
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<p>Spatial collisions of digitally reconstructed bead-like ponds pearl reservoirs in Potok Tyski catchment basin based on DTM and the Topographic Object Database (BDOT 2022) in a heavily urbanized area. (<b>A</b>) Former water reservoirs of Potok Tyski catchment basin and structure of contemporary urban development (BDOT); (<b>B</b>) attempt to reconstruct the bowl of selected pearl reservoirs basedbead-like ponds on DTM. (<b>C</b>) Former water reservoirs of Potok Tyski catchment basin against the background of an orthopotomap (2023); (<b>D</b>) location of roads and buildings according to the Topographic Object Database (BDOT 2022).</p>
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<p>Spatial collisions of digitally reconstructed bead-like ponds pearl reservoirs in Potok Tyski catchment basin based on DTM and the Topographic Object Database (BDOT 2022) in a poorly urbanized area. (<b>A</b>) Former water reservoirs of Potok Tyski catchment basin and structure of contemporary urban development (BDOT); (<b>B</b>) attempt to reconstruct the bowl of selected bead-like ponds based on DTM. (<b>C</b>) Former water reservoirs of Potok Tyski catchment basin against the background of an orthophotomap (2023); (<b>D</b>) location of roads and buildings according to the Topographic Object Database (BDOT 2022).</p>
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<p>Analysis of the possibilities of rebuilding bead reservoirs in Potok Tyski catchment basin: (<b>A</b>) reservoirs of Potok Tyski catchment basin according to the Urmeßtischblatt (1827); (<b>B</b>) collisions of reservoirs with buildings (orange objects); (<b>C</b>) collisions of tanks with roads (violet objects); total collisions (<b>D</b>).</p>
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17 pages, 6960 KiB  
Article
Estimation of Rain Garden Field Hydraulic Conductivity Based on Spot Infiltration Tests
by Andrea Welker, James Press, Kristin Sample-Lord and Virginia Smith
Water 2025, 17(3), 418; https://doi.org/10.3390/w17030418 (registering DOI) - 2 Feb 2025
Abstract
Rain gardens are increasingly being used to control stormwater. Infiltration is a key component of volume control. Thus, determining the infiltration rate or field saturated hydraulic conductivity (Ksat) of rain gardens is critical to their continued successful operation. Designers and [...] Read more.
Rain gardens are increasingly being used to control stormwater. Infiltration is a key component of volume control. Thus, determining the infiltration rate or field saturated hydraulic conductivity (Ksat) of rain gardens is critical to their continued successful operation. Designers and inspectors of rain gardens need to rapidly and efficiently determine the field Ksat. Prior research has found that single-ring infiltrometers (Princeton Hydro, Trenton, NJ, USA) can reliably be used to determine the infiltration rates of soils. The question often posed by designers and inspectors is “how many spot-infiltration tests are needed to sufficiently characterize the infiltration capacity of a rain garden?” Five rain gardens, varying in size from 62 to 429 m2, were analyzed for this study. Three different spot infiltration methods were used: single-ring (Princeton Hydro, Trenton, NJ, USA) (least sophisticated and expensive), modified Philip–Dunne (Villanova University, Villanova, PA, USA), and SATURO (METER Group, Pullman, WA, USA) (most sophisticated and expensive). These rain gardens also had been instrumented to capture the recession rates during either natural or artificial ponding events. The linear portion of the recession curve obtained during ponding events was used to provide the rain-garden-wide Ksat. It was found that the geometric mean of six spot infiltration tests provided a reliable Ksat value similar to that found by the recession rate, which best represents the value of Ksat for the entire rain garden. This indicates that an inspector can reliably determine the infiltration capacity of a rain garden in less than a day. Full article
(This article belongs to the Section Urban Water Management)
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<p>Photographs of the (<b>a</b>) single-ring infiltrometer (Princeton Hydro, Trenton, NJ, USA), (<b>b</b>) modified Philip–Dunne Infiltrometer (Villanova University, Villanova, PA, USA), and (<b>c</b>) SATURO dual head infiltrometer (METER Group, Pullman, WA, USA). Reprinted/adapted with permission from Ref. [<a href="#B28-water-17-00418" class="html-bibr">28</a>]. 2016, Zukowski.</p>
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<p>Villanova University rain garden one (VURG1): (<b>a</b>) photograph, reprinted/adapted with permission from Ref. [<a href="#B31-water-17-00418" class="html-bibr">31</a>]. 2013, Lord Gill, and (<b>b</b>) site plan, reprinted/adapted with permission from Ref. [<a href="#B32-water-17-00418" class="html-bibr">32</a>], 2011, ASCE.</p>
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<p>Villanova University rain garden two (VURG2): (<b>a</b>) photograph and (<b>b</b>) design cross-section.</p>
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<p>Philadelphia Zoo treatment train system (USRG and DSRG). Reprinted/adapted with permission from Ref. [<a href="#B33-water-17-00418" class="html-bibr">33</a>]. 2021, ASCE.</p>
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<p>Upstream (USRG, <b>left</b>) and downstream (DSRG, <b>right</b>) rain gardens at the Philadelphia Zoo.</p>
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<p><b>Aerial view of</b> PennDOT I-95 stormwater management practice A (SMP A).</p>
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<p>Spot infiltration test combinations from the single-ring infiltrometer (Princeton Hydro, Trenton, NJ, USA) (<span class="html-italic">K<sub>sat-spot</sub></span>) compared to the ponded recession rate (<span class="html-italic">K<sub>sat-pond</sub></span>) for VURG1.</p>
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<p>Spot infiltration test combinations from the SATURO (METER Group, Pullman, WA, USA) (<span class="html-italic">K<sub>sat-spot</sub></span>) compared to the ponded recession rate (<span class="html-italic">K<sub>sat-pond</sub></span>) for VURG1.</p>
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<p>Spot infiltration test combinations from the MPD (<span class="html-italic">K<sub>sat-spot</sub></span>) compared to the ponded recession rate (<span class="html-italic">K<sub>sat-pond</sub></span>) for VURG2.</p>
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<p>Spot infiltration test combinations from the SATURO (METER Group, Pullman, WA, USA) (<span class="html-italic">K<sub>sat-spot</sub></span>) compared to the ponded recession rate (<span class="html-italic">K<sub>sat-pond</sub></span>) for USRG.</p>
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<p>Spot infiltration test combinations from the SATURO (METER Group, Pullman, WA, USA) (<span class="html-italic">K<sub>sat-spot</sub></span>) compared to the ponded recession rate (<span class="html-italic">K<sub>sat-pond</sub></span>) for DSRG.</p>
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<p>Spot infiltration test combinations from the SATURO (METER Group, Pullman, WA, USA) (<span class="html-italic">K<sub>sat-spot</sub></span>) compared to the ponded recession rate (<span class="html-italic">K<sub>sat-pond</sub></span>) for SMP A.</p>
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<p>Coefficient of variation for all test combinations at each site.</p>
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15 pages, 3429 KiB  
Article
Hydrological Dynamics and Climate Variability in the Sava River Basin: Streamflow Reconstructions Using Tree-Ring-Based Paleo Proxies
by Abel Andrés Ramírez Molina, Igor Leščešen, Glenn Tootle, Jiaqi Gong and Milan Josić
Water 2025, 17(3), 417; https://doi.org/10.3390/w17030417 (registering DOI) - 2 Feb 2025
Abstract
This study reconstructs historical streamflow in the Sava River Basin (SRB), focusing on hydrological variability over extended timescales. Using a combination of Machine Learning (ML) and Deep Learning (DL) models, streamflow patterns were reconstructed from self-calibrated Palmer Drought Severity Index (scPDSI) proxies. The [...] Read more.
This study reconstructs historical streamflow in the Sava River Basin (SRB), focusing on hydrological variability over extended timescales. Using a combination of Machine Learning (ML) and Deep Learning (DL) models, streamflow patterns were reconstructed from self-calibrated Palmer Drought Severity Index (scPDSI) proxies. The analysis included nine ML models and two DL architectures, with a post-prediction bias correction applied uniformly using the RQUANT method. Results indicate that ensemble methods, such as Random Forest and Gradient Boosted Tree, along with a six-layer DL model, effectively captured streamflow dynamics. Bias correction improved predictive consistency, particularly for models exhibiting greater initial variability, aligning predictions more closely with observed data. The findings reveal that the 2000–2022 period ranks as the lowest 23-year flow interval in the observed record and one of the driest over the past ~500 years, offering historical context for prolonged low-flow events in the region. This study demonstrates the value of integrating advanced computational methods with bias correction techniques to extend hydrological records and enhance the reliability of reconstructions. By addressing data limitations, this approach provides a foundation for supporting evidence-based water resource management in Southeastern Europe under changing climatic conditions. Full article
(This article belongs to the Section Hydrology)
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<p>Sava River Basin showing the location of the Sremska Mitrovica gauging station.</p>
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<p>Self-calibrated Palmer Drought Severity Index (scPDSI) grid cells in a 450 km radius around the Sremska Mitrovica gauging station. Red dots indicate the selected scPDSI grid cells used in the analysis, while the green dot marks the location of the gauging station.</p>
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<p>Comparative analysis of streamflow predictions using (<b>a</b>) GLM, (<b>b</b>) GBT, (<b>c</b>) RF, and (<b>d</b>) 6-layer DL model (80% training/20% validation). Orange line: predicted streamflow; green line: bias-corrected streamflow prediction; blue line: observed streamflow.</p>
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<p>Residual analysis using (<b>a</b>) GLM, (<b>b</b>) GBT, (<b>c</b>) RF, and (<b>d</b>) the six-layer DL model (80% training/20% validation). Blue dots: observed streamflow–oredicted streamflow; orange dots: observed streamflow–bias-corrected predicted streamflow.</p>
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<p>Reconstructed AMJJAS streamflow (MCM) with 23-year end-year filter: (<b>a</b>) Individual GLM BC, GBT BC, RF BC, and 6-layer Deep Learning model (80% training/20% validation) BC models with 2000 to 2022 low flow (red line). (<b>b</b>) Average of GLM BC, GBT BC, RF BC, and 6-layer Deep Learning model (80% training/20% validation) BC models with uncertainty (5th and 95th percentile, gray area) with 2000 to 2022 low flow (red line).</p>
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17 pages, 4130 KiB  
Review
The Potential Role of Africa in Green Hydrogen Production: A Short-Term Roadmap to Protect the World’s Future from Climate Crisis
by Moustafa Gamal Snousy, Ashraf R. Abouelmagd, Yasser M. Moustafa, Dimitra E. Gamvroula, Dimitrios E. Alexakis and Esam Ismail
Water 2025, 17(3), 416; https://doi.org/10.3390/w17030416 (registering DOI) - 2 Feb 2025
Abstract
The global need for energy has risen sharply recently. A global shift to clean energy is urgently needed to avoid catastrophic climate impacts. Hydrogen (H2) has emerged as a potential alternative energy source with near-net-zero emissions. In the African continent, for [...] Read more.
The global need for energy has risen sharply recently. A global shift to clean energy is urgently needed to avoid catastrophic climate impacts. Hydrogen (H2) has emerged as a potential alternative energy source with near-net-zero emissions. In the African continent, for sustainable access to clean energy and the transition away from fossil fuels, this paper presents a new approach through which waste energy can produce green hydrogen from biomass. Bio-based hydrogen employing organic waste and biomass is recommended using biological (anaerobic digestion and fermentation) processes for scalable, cheaper, and low-carbon hydrogen. By reviewing all methods for producing green hydrogen, dark fermentation can be applied in developed and developing countries without putting pressure on natural resources such as freshwater and rare metals, the primary feedstocks used in producing green hydrogen by electrolysis. It can be expanded to produce medium- and long-term green hydrogen without relying heavily on energy sources or building expensive infrastructure. Implementing the dark fermentation process can support poor communities in producing green hydrogen as an energy source regardless of political and tribal conflicts, unlike other methods that require political stability. In addition, this approach does not require the approval of new legislation. Such processes can ensure the minimization of waste and greenhouse gases. To achieve cost reduction in hydrogen production by 2030, governments should develop a strategy to expand the use of dark fermentation reactors and utilize hot water from various industrial processes (waste energy recovery from hot wastewater). Full article
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<p>Global GHP potential (in exajoules) by region [<a href="#B13-water-17-00416" class="html-bibr">13</a>].</p>
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<p>Africa’s energy mix in 2022 [<a href="#B18-water-17-00416" class="html-bibr">18</a>].</p>
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<p>Hydrogen production methods [<a href="#B24-water-17-00416" class="html-bibr">24</a>].</p>
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<p>(<b>a</b>) Six recognized potential landing regions [<a href="#B10-water-17-00416" class="html-bibr">10</a>], (<b>b</b>) capabilities of the selected landing zones for hydrogen market development [<a href="#B41-water-17-00416" class="html-bibr">41</a>].</p>
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<p>Forcibly displaced populations from African countries in conflict [<a href="#B54-water-17-00416" class="html-bibr">54</a>].</p>
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<p>African countries’ debt [<a href="#B61-water-17-00416" class="html-bibr">61</a>].</p>
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<p>(<b>a</b>) The AGB is represented by a higher bounds map of 95% highest posterior density interval (95% HPDI) [<a href="#B68-water-17-00416" class="html-bibr">68</a>], (<b>b</b>) the African vegetation map according to UNESCO [<a href="#B84-water-17-00416" class="html-bibr">84</a>].</p>
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14 pages, 2759 KiB  
Article
Optimization of Scale Inhibitor Addition Scheme and Control of Phosphorus Content in External Cooling System of Synchronous Condenser
by Xiantao Gu, Yuquan Wu, Yunqing Xu, Hongwei Zhao, Lin Yang, Xiaochun Chen, Peipei Fan, Junjie Zhang, Zhikui Liu, Tao Zhu, Yuxiang Gao and Haosheng Dong
Water 2025, 17(3), 415; https://doi.org/10.3390/w17030415 (registering DOI) - 2 Feb 2025
Viewed by 144
Abstract
Scaling is one of the common problems in circulating cooling water systems, which can significantly affect the cooling efficiency of equipment in severe cases. At present, the problem of scaling is usually controlled by adding water treatment agents. However, taking the external cooling [...] Read more.
Scaling is one of the common problems in circulating cooling water systems, which can significantly affect the cooling efficiency of equipment in severe cases. At present, the problem of scaling is usually controlled by adding water treatment agents. However, taking the external cooling system of the synchronous condenser in an ultra-high-voltage converter station as an example, due to the lack of scientific understanding of scale inhibitors, there is often a problem of excessive dosing, resulting in unsatisfactory scale inhibition effects and difficulties in wastewater treatment and discharge. In addition, the extensive use of phosphorus-containing agents has led to the enrichment of phosphorus elements in water bodies. Therefore, the optimal amount of AS-582 scale inhibitor used in the converter station with the best scale inhibition effect was determined through static calcium carbonate deposition experiments, with the scale inhibition rate of 91.4% at 90 mg/L. And the scale inhibition mechanism was explored, where the lattice distortion mechanism and threshold effect play important roles. The AS-582 scale inhibitor was mixed with two green scale inhibitors, PASP and PESA, to obtain a phosphorus reduction formula that combined excellent scale inhibition performance and low phosphorus content. When using the optimal composite scale inhibitor of n(AS-582):n(PASP):n(PESA) = 4:1:1, the scale inhibition rate is 91.8% and the phosphorus content is reduced by one-third. The effectiveness of the formula was tested using dynamic circulating water experimental equipment under practical application conditions, proving its practical value. Full article
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<p>Schematic diagram of the dynamic circulating water experimental apparatus.</p>
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<p>Variation in scale inhibition rate with dosage in two water samples.</p>
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<p>XRD patterns of calcium carbonate scale samples at AS-582 dosing amounts of 0, 5, 10, and 15 mg/L.</p>
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<p>SEM images of calcium carbonate scale samples before and after the addition of scale inhibitor: (<b>a</b>,<b>b</b>) without scale inhibitor; (<b>c</b>,<b>d</b>) with a scale inhibitor addition of 15 mg/L.</p>
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<p>Variation in scale inhibition rates of two green polymer inhibitors, PESA and PASP, with dosage.</p>
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<p>XRD patterns of calcium carbonate scale samples obtained after the addition of two green polymer scale inhibitors.</p>
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<p>(<b>a</b>) Carbon steel corrosion rate and fouling thermal resistance at different ion concentrations without the addition of corrosion scale inhibitors. (<b>b</b>) With the addition of 90 mg/L AS-582. (<b>c</b>) With the addition of a 90 mg/L phosphorus reduction formulation.</p>
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21 pages, 33528 KiB  
Article
Simulating the Failure Mechanism of High-Slope Angles Under Rainfall-Mining Coupling Using MatDEM
by Qihang Li, Yunmin Wang, Di Hou, Song Jiang, Bin Gong and Xiaoshuang Li
Water 2025, 17(3), 414; https://doi.org/10.3390/w17030414 (registering DOI) - 2 Feb 2025
Viewed by 117
Abstract
The safety production of gold, silver, copper, and other important metals is seriously threatened in the process of mining from open-pit to underground due to various factors such as infiltration caused by rainfall and unloading during mining. Furthermore, the current situation of open-pit [...] Read more.
The safety production of gold, silver, copper, and other important metals is seriously threatened in the process of mining from open-pit to underground due to various factors such as infiltration caused by rainfall and unloading during mining. Furthermore, the current situation of open-pit mining in an increasing number of mines presents a high and steep terrain, which poses significant security risks. Accordingly, it is of great practical significance to investigate the failure mechanism of high-slope angles to ensure the long-term safe mining of mines, considering factors such as rainfall infiltration and excavation unloading. In this study, the slope failure of high-slope angles (45°, 55°, and 65°) under rainfall-mining coupling was analyzed using the discrete element MatDEM numerical simulation software. Herein, the stress distribution, failure characteristics, and energy conversion of the model were simulated under different slope angles to analyze the failure mechanism at each stage. The simulation results show that the damage scale is smallest at 55° and largest at 65°. This indicates that setting the slope angle to 55° can reduce the risk of slope instability. Moreover, the reduction of elastic potential energy during the mine room mining stage is similar to that of mechanical energy. During the pillar mining stage, stress is concentrated in each goaf, resulting in a greater reduction in mechanical energy compared to elastic potential energy. Finally, after the completion of the continuous pillar mining stage, stress becomes concentrated in the failure area, and the effect of the slope angle on mechanical energy reduction becomes evident after the complete collapse of the model. Full article
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<p>Site engineering geological map.</p>
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<p>Precipitation distribution in China in 2023.</p>
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<p>Principle of seepage simulation.</p>
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<p>Boundary conditions and direction of the seepage flow model.</p>
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<p>Numerical simulation scheme and model establishment.</p>
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<p>Cloud map of rainfall and excavation-induced coupling stress variation under different numerical models of high-slope angles.</p>
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<p>Stress values of different monitoring points under a 45° slope angle model.</p>
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<p>Stress values of different monitoring points under a 55° slope angle model.</p>
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<p>Stress values of different monitoring points under a 65° slope angle model.</p>
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<p>Cloud map of rainfall and excavation-induced coupling vertical displacement variation under different numerical models of high-slope angles.</p>
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<p>Displacement values of different monitoring points under different slope angle models.</p>
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<p>Energy change curve.</p>
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<p>Energy change curves of different mining stages under a 45° slope angle model.</p>
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<p>Energy change curves of different mining stages under a 55° slope angle model.</p>
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<p>Energy change curves of different mining stages under a 65° slope angle model.</p>
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20 pages, 4238 KiB  
Article
Is Industrial-Scale Wastewater Treatment Possible with a Commercially Available Atmospheric Pressure Plasma System? A Practical Study Using the Example of a Car Wash
by Michał Szulc, Carmen Kirner, Jörg Götz and Jochen Schein
Water 2025, 17(3), 413; https://doi.org/10.3390/w17030413 (registering DOI) - 2 Feb 2025
Viewed by 128
Abstract
The topic of water reuse is becoming increasingly important. It might be possible to use the well-known antibacterial effect of atmospheric pressure plasma due to its special mixture of reactive species, UV, and electromagnetic fields in a scaled-up, industrially interesting area to remove [...] Read more.
The topic of water reuse is becoming increasingly important. It might be possible to use the well-known antibacterial effect of atmospheric pressure plasma due to its special mixture of reactive species, UV, and electromagnetic fields in a scaled-up, industrially interesting area to remove bacteria from wastewater, and thus, make it usable again. To review this question, water volumes of 5L and of different qualities (turbidity and different degrees of hardness) were treated with a commercially available plasma system. The change in water-specific values such as pH, EC, ORP, nitrate, and nitrite content was determined. To test the antibacterial effect, both direct and indirect treatment of the test germ Pseudomonas aeruginosa was conducted. In the first case, the inoculated water samples were plasma-treated, while in the second case, the water samples were treated before inoculation with the germ. The viable bacteria were counted via the spread plate method. The best reduction rate of at least 6 log levels was achieved when inoculated deionized water samples were treated directly with plasma. A significant reduction in viability was also observed in directly treated clear tap water samples, whereby the different degrees of hardness did not influence the effectiveness of the plasma. The bacterial load remained almost unchanged when reused water samples from a car wash were treated. Based on the results, a possible application in a car wash was discussed including a cost estimation and possible limitations. Full article
(This article belongs to the Special Issue Advanced Technologies for Wastewater Treatment and Water Reuse)
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<p>Schematic representation of the plasma generator PG31 used from the plasmabrush® PB3 system (relyon plasma GmbH).</p>
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<p>Schematic diagram of the experimental setup on the left side. The plasma generator was placed <math display="inline"><semantics> <mrow> <mn>20</mn> <mspace width="3.33333pt"/> <mi mathvariant="normal">mm</mi> </mrow> </semantics></math> above the water surface and the reactor was closed during treatment. The picture on the right side shows the generator during operation.</p>
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<p>UV absorbance spectra. The sharp increase in the values below <math display="inline"><semantics> <mrow> <mn>240</mn> <mspace width="3.33333pt"/> <mi mathvariant="normal">nm</mi> </mrow> </semantics></math> indicates increased nitrite and nitrate concentrations in the treated samples.</p>
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<p>Viable cell counts of <span class="html-italic">Pseudomonas aeruginosa</span> as a function of plasma treatment time. The dashed line shows the detection limit. The experiments were conducted with water cooling (see <a href="#sec2dot2-water-17-00413" class="html-sec">Section 2.2</a>) so that the sample temperature remained below <math display="inline"><semantics> <mrow> <mn>40</mn> <mtext> </mtext> <mo>°</mo> <mi mathvariant="normal">C</mi> </mrow> </semantics></math> after the longest treatment time.</p>
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<p>Die-off kinetics of <span class="html-italic">Pseudomonas aeruginosa</span> as a function of plasma treatment time. We treated <math display="inline"><semantics> <mrow> <mn>5</mn> <mspace width="3.33333pt"/> <mi mathvariant="normal">L</mi> </mrow> </semantics></math> of tap water and <math display="inline"><semantics> <mrow> <mn>5</mn> <mspace width="3.33333pt"/> <mi mathvariant="normal">L</mi> </mrow> </semantics></math> of reused water and we examined the number of bacteria at intervals of <math display="inline"><semantics> <mrow> <mn>5</mn> <mspace width="3.33333pt"/> <mo movablelimits="true" form="prefix">min</mo> </mrow> </semantics></math> with a maximum treatment time of <math display="inline"><semantics> <mrow> <mn>30</mn> <mspace width="3.33333pt"/> <mo movablelimits="true" form="prefix">min</mo> </mrow> </semantics></math>. Furthermore, two different culture media were used (TSA and <span class="html-italic">Pseudomonas</span>-selective Cetrimide). The experiments were conducted without sample cooling (see <a href="#sec2dot2-water-17-00413" class="html-sec">Section 2.2</a>), which resulted in a sample temperature of <math display="inline"><semantics> <mrow> <mn>53</mn> <mtext> </mtext> <mo>°</mo> <mi mathvariant="normal">C</mi> </mrow> </semantics></math> after the longest treatment time.</p>
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<p>Stability of PAW over a period of <math display="inline"><semantics> <mrow> <mn>48</mn> <mspace width="3.33333pt"/> <mi mathvariant="normal">h</mi> </mrow> </semantics></math> after <math display="inline"><semantics> <mrow> <mn>10</mn> <mspace width="3.33333pt"/> <mi>min</mi> </mrow> </semantics></math> of plasma treatment. The first mark at <math display="inline"><semantics> <msup> <mn>10</mn> <mrow> <mo>−</mo> <mn>1</mn> </mrow> </msup> </semantics></math> in each plot refers to the values measured for blank (i.e., untreated) water samples. The values of pH, EC, and ORP were measured after 1, 2, 3, 4, 22, and <math display="inline"><semantics> <mrow> <mn>48</mn> <mspace width="3.33333pt"/> <mi mathvariant="normal">h</mi> </mrow> </semantics></math> after plasma treatment.</p>
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<p>Viable cell counts of <span class="html-italic">Pseudomonas aeruginosa</span> as a function of exposure time to plasma-treated DI water. The water sample was treated for <math display="inline"><semantics> <mrow> <mn>30</mn> <mspace width="3.33333pt"/> <mo movablelimits="true" form="prefix">min</mo> </mrow> </semantics></math> and applied approximately <math display="inline"><semantics> <mrow> <mn>3</mn> <mspace width="3.33333pt"/> <mi mathvariant="normal">h</mi> </mrow> </semantics></math> later. The dashed line shows the detection limit.</p>
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16 pages, 6142 KiB  
Article
Migration and Transformation of Greenhouse Gases in Constructed Wetlands: A Bibliometric Analysis and Trend Forecast
by Ruiyao Qi, Jiahao Dong, Yan Kang, Huijun Xie, Haiming Wu, Zhen Hu and Zizhang Guo
Water 2025, 17(3), 412; https://doi.org/10.3390/w17030412 (registering DOI) - 2 Feb 2025
Viewed by 146
Abstract
Constructed wetlands (CWs), serving as an advanced wastewater treatment system, play a vital role in both the emission and sequestration of diverse GHGs. However, there are few papers reviewing and analyzing developments in the field. In this study, bibliometrics were used as an [...] Read more.
Constructed wetlands (CWs), serving as an advanced wastewater treatment system, play a vital role in both the emission and sequestration of diverse GHGs. However, there are few papers reviewing and analyzing developments in the field. In this study, bibliometrics were used as an essential tool for identifying and establishing connections among key elements within a discipline, as well as for analyzing the research status and developmental trends of the research fields. CiteSpace 6.3.1 was utilized to conduct an analysis of the references from the Web of Science Core Collection pertaining to GHG emissions from CWs over the period from 1993 to 2023. This study showed the following conclusions. (1) Organic nitrogen conversion produces N2O, which is eventually transformed into N2 and released from CWs. Anammox represents an attractive route for nitrogen removal. (2) The CO2 is the final product of the oxidation of organic matter in the influent of CWs and can be fixed by plant photosynthesis. Anaerobic fermentation and CO2 reduction produce CH4. The two are emitted through aerenchyma transport, bubble diffusion, and other forms. (3) In the past 30 years, the number of publications and citation frequency shows an increasing trend. China and the United States published more papers. The top ten authors contributed to 20.607% of the total 1019, and the cooperation between different author groups needs to be strengthened. (4) The emerging burst keywords following 2020 are “microbial fuel cell” and “microbial community”, which highlights the current hotspots in research related to GHG emissions from CWs. (5) There is still a lack of long-term and applied discussion on the role of CWs in promoting GHG emission reduction. The relevant reaction conditions and mechanisms need to be explored and the possible research directions can be genetic regulation and information technology. Full article
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<p>The generation and release of N<sub>2</sub>O in CWs.</p>
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<p>The generation and release of CO<sub>2</sub> and CH<sub>4</sub> in CWs.</p>
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<p>The publication number and citation frequency of research on GHG emissions in CWs per year.</p>
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<p>A representation of national and regional cooperation networks.</p>
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<p>Author cooperation network in the field of GHG emissions in CWs.</p>
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<p>The co-occurrence network analysis of keywords on GHG emissions from CWs.</p>
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<p>A visualization of the keyword cluster analysis on GHG emissions in CWs.</p>
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<p>Timeline view of the keyword clusters on GHG emissions in CWs.</p>
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22 pages, 1515 KiB  
Article
Cellular Responses of Astrangia poculata (Ellis and Solander, 1786) and Its Symbiont to Experimental Heat Stress
by Tyler E. Harman, Daniel Barshis, Briana Hauff Salas and Kevin B. Strychar
Water 2025, 17(3), 411; https://doi.org/10.3390/w17030411 (registering DOI) - 1 Feb 2025
Viewed by 402
Abstract
Climate change has had devastating effects on tropical coral reefs; however, much less is known regarding how heat stress affects temperate coral. This research focuses on Astrangia poculata (Ellis and Solander, 1786) collected from Narragansett Bay, RI, during the summer and winter seasons [...] Read more.
Climate change has had devastating effects on tropical coral reefs; however, much less is known regarding how heat stress affects temperate coral. This research focuses on Astrangia poculata (Ellis and Solander, 1786) collected from Narragansett Bay, RI, during the summer and winter seasons and understanding the effect of experimental thermal extremes (i.e., 26 °C) on seasonally different populations. Photosynthetic efficiency (Fv/Fm), symbiont density (via an inverse relationship with pixel intensity), and oxidative stress via reactive oxygen species (ROS) concentrations were measured on symbiotic and aposymbiotic A. poculata. Higher Fv/Fm rates were observed in summer- vs. winter-collected corals (p ≤ 0.05). Lower symbiont density within symbiotic and aposymbiotic A. poculata were observed at elevated temperatures, and higher intensities as well as symbiotic coral were observed in winter compared to the summer collections (p ≤ 0.05). No differences in ROS were observed in host tissue cells, suggesting that ROS produced in the algal symbionts was not translocated into host tissues. Overall, higher ROS concentrations were observed in summer- vs. winter-collected corals (p ≤ 0.05) in both symbiotic states. ROS concentrations were higher in symbiotic compared to aposymbitoic colonies (p ≤ 0.05), albeit no differences were observed between temperature treatments, suggesting that antioxidants mitigate the deleterious effects of ROS on host tissues. Full article
25 pages, 5948 KiB  
Article
Spatiotemporal Variability of Groundwater Quality for Irrigation: A Case Study in Mimoso Alluvial Valley, Semiarid Region of Brazil
by Thayná A. B. Almeida, Abelardo A. A. Montenegro, João L. M. P. de Lima, Carolyne W. L. A. Farias, Ailton A. Carvalho and Anderson L. R. de Paiva
Water 2025, 17(3), 410; https://doi.org/10.3390/w17030410 (registering DOI) - 1 Feb 2025
Viewed by 400
Abstract
Alluvial aquifers are vital for agricultural communities in semiarid regions, where groundwater quality is often constrained by seasonal and spatial salinity variations. This study employed geostatistical methods to analyze the spatial and temporal variability of electrical conductivity (EC) and the sodium adsorption ratio [...] Read more.
Alluvial aquifers are vital for agricultural communities in semiarid regions, where groundwater quality is often constrained by seasonal and spatial salinity variations. This study employed geostatistical methods to analyze the spatial and temporal variability of electrical conductivity (EC) and the sodium adsorption ratio (SAR) and elaborate an indicative quality map in the Mimoso Alluvial Aquifer, Pernambuco, Brazil. Groundwater samples were collected and analyzed for cations, total hardness (TH), and the percentage of sodium (PS). Moreover, the relation between EC and the SAR was used to determine the groundwater quality for irrigation. Cation concentrations followed the order Ca2+ > Mg2+ > Na+ > K+. EC and the SAR exhibited medium to high variability, with spatial dependence ranging from moderate to strong, and presented a strong cross-spatial dependence. Results showed that sequential Gaussian simulation (SGS) provided a more reliable groundwater classification for agricultural purposes compared to kriging methods, enabling a more rigorous evaluation. Based on the strong geostatistical cross correlation between EC and RAS, a novel water quality index was proposed, properly identifying regions with lower groundwater quality. The resulting spatial indicator maps classified groundwater as suitable (64.7%), restricted use (2.08%) and unsuitable (2.38%) for irrigation. The groundwater quality maps indicated that groundwater was mostly suitable for agriculture, except in silty areas, also corresponding to regions with low hydraulic conductivity at the saturated zone. Soil texture, rainfall, and water extraction significantly influenced spatial and temporal patterns of groundwater quality. Such correlations allow a better understanding of the groundwater quality in alluvial valleys, being highly relevant for water resources management in semiarid areas. Full article
(This article belongs to the Special Issue Advance in Groundwater in Arid Areas)
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<p>South America map, with location of the semiarid region in Brazil (<b>A</b>); Pernambuco State, and location of Ipanema River Basin (<b>B</b>); Mimoso Alluvial Valley, Alto Ipanema Basin, Pesqueira municipality of Pernambuco State, Brazil (<b>C</b>); saturated hydraulic conductivity map of Mimoso Alluvial Aquifer (<b>D</b>); soil surface texture map of Mimoso Alluvial Aquifer (<b>E</b>); well (<b>F</b>) and piezometers (<b>G</b>) monitoring; and piezometers installation (<b>H</b>,<b>I</b>).</p>
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<p>Soil map Location of Mimoso Alluvial Valley and locations of irrigated plots (adapted from [<a href="#B31-water-17-00410" class="html-bibr">31</a>]).</p>
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<p>Historical monthly averages and 2019 data for meteorological parameters as rainfall (<b>A</b>), water exploitation averages (<b>B</b>), and the maximum, minimum, and mean EC values for 2019 (<b>C</b>). (R = accumulated rainfall; Rainfall = historical average rainfall of 20 years; Et0 = reference evapotranspiration; Et0* = historical average evapotranspiration; Qmean = daily exploitation per month; ECmean = mean electrical conductivity; ECmin = minimum electrical conductivity; (<b>D</b>) ECmax = maximum electrical conductivity).</p>
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<p>Semivariograms scaled by electrical conductivity variances and adjustments of the exponential, gaussian and spherical models, from January to December (<b>A</b>–<b>L</b>) 2019. C0 represents the nugget effect, C1 the sill, A the model range and R<sup>2</sup> the determination coefficient.</p>
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<p>Semivariograms scaled by the SAR variances and adjustments of the exponential, gaussian and spherical models, from May to November (<b>A</b>–<b>G</b>) 2019. C0 represents the nugget effect, C1 the sill, A the model range and R<sup>2</sup> the determination coefficient.</p>
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<p>Crossed semivariograms of the SAR × CE and adjustments of the exponential, gaussian and spherical models, from May to November (<b>A</b>–<b>G</b>) 2019. C0 represents the nugget effect, C1 the sill, A the model range and R<sup>2</sup> the determination coefficient.</p>
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<p>Electrical conductivity (EC) kriging maps from January to December (<b>A</b>–<b>L</b>) 2019 with agricultural plots and saturated electrical conductivity contours.</p>
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<p>Sodium adsorption ratio (SAR) kriging maps from May to November (<b>A</b>–<b>G</b>) from 2019, with agricultural plots and saturated electrical conductivity contours.</p>
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<p>Semivariograms of the groundwater adequacy indicators and adjustments of the exponential, gaussian and spherical models, from May to November (<b>A</b>–<b>G</b>) 2019.</p>
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<p>Kriging maps of groundwater quality for irrigation purposes from May to November (<b>A</b>–<b>G</b>) 2019, with agricultural plots and saturated electrical conductivity contours.</p>
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<p>Sequential Gaussian simulation maps of groundwater quality for irrigation purposes from May to November (<b>A</b>–<b>G</b>) 2019 with agricultural plots and saturated electrical conductivity contours.</p>
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<p>Principal Component Analysis (PCA) showing the scores of the first two principal components (<b>A</b>,<b>B</b>), which represent the directions of maximum variance in the dataset.</p>
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17 pages, 5159 KiB  
Article
The Role of the Heterogeneity of Volcanic Aquifer Properties in Assessing Sustainable Well Yield: Study Cases from Latium (Central Italy)
by Chiara Sbarbati, Matteo Paoletti and Vincenzo Piscopo
Water 2025, 17(3), 409; https://doi.org/10.3390/w17030409 (registering DOI) - 1 Feb 2025
Viewed by 259
Abstract
Groundwater resources from the volcanic aquifers of northern Latium (central Italy) are widely used to supply local water needs and are mainly captured through wells. Nevertheless, despite the detailed hydrogeological knowledge of these aquifers, not enough information is available on the long-term pumping [...] Read more.
Groundwater resources from the volcanic aquifers of northern Latium (central Italy) are widely used to supply local water needs and are mainly captured through wells. Nevertheless, despite the detailed hydrogeological knowledge of these aquifers, not enough information is available on the long-term pumping yield necessary to define the sustainable yield of a well. In this study, data from about 230 pumping tests (mainly step-drawdown and a few constant-flow-rate tests) performed in the volcanic aquifers of the Latium region were analyzed. Specifically, the aquifer formations intercepted by the wells are the fall and flow pyroclastic deposits of the Vico, Vulsini, and Sabatini volcanic districts; lava from the Vico, Cimino, and Vulsini volcanic districts; and Ignimbrite Cimina, one of the main pyroclastic products of the Cimino eruptions. These aquifers were grouped and analyzed by considering the type of permeability, hydrostratigraphic succession, and frequency and thickness of the aquifer horizons intercepted by wells. The results obtained in terms of specific capacity and transmissivity values are comparable among the identified different aquifer formations, showing a good correlation between the two parameters, a strong hydraulic heterogeneity (variability within five orders of magnitude), and variable responses regarding drawdown to pumping. This study highlights that the analysis of drawdown over time at a constant flow is fundamental in heterogeneous hydrogeological environments such as volcanic ones, where the trend in drawdown is often affected by the reduced spatial continuity of the most productive aquifer formations. Knowledge of the trend in drawdown over time, the thickness of the aquifer intercepted by the well, and the operating time of the well is an essential element in defining the sustainable yield of a well. Full article
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<p>Location maps of the study area (<b>a</b>) and tested wells (<b>b</b>).</p>
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<p>Examples of outcrops of the T-P class, fall and flow deposits f (<b>a</b>,<b>b</b>); IC class, Ignimbrite Cimina (<b>c</b>); and L class, lava dome (<b>d</b>).</p>
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<p>Range of <span class="html-italic">Qs</span> variation determined for all tests and for the different aquifer classes.</p>
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<p>Range of variation of <span class="html-italic">T</span> obtained from 23 tests.</p>
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<p>Relationship between specific capacity (<span class="html-italic">Qs</span>) and transmissivity (<span class="html-italic">T</span>) values.</p>
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<p>Stratigraphy of wells P1, P2, and P3, blue lines represent water table depth.</p>
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<p>(<b>a</b>) Semi-log plot of drawdown–time in the pumping well and in two observation wells; (<b>b</b>) bi-log plots of the drawdown and derivative in the well and in two observation wells in the T–P Class.</p>
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<p>(<b>a</b>) Semi-log plot of drawdown–time in the pumping well and in one observation well; (<b>b</b>) bi-log plots of the drawdown and derivative in the well and in one observation well in T–P Class.</p>
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<p>(<b>a</b>) Semi-log plot of drawdown–time in the pumping well; (<b>b</b>) bi-log plots of the drawdown and derivative in the well in L and IC Classes.</p>
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<p>Time constant (<span class="html-italic">t<sub>c</sub></span>) and pumping time (<span class="html-italic">t</span>) variations as a function of boundary distance (<span class="html-italic">x</span>). The values of <span class="html-italic">t<sub>c</sub></span> were derived from the most frequent range of hydraulic diffusivity (<span class="html-italic">D</span>) obtained from pumping tests.</p>
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24 pages, 2297 KiB  
Article
Filling the Gap: Explaining Foreign Participation in China’s Water PPP Projects from a Local Government Perspective
by Dan Li, Zhen Zhang and Zhirong Jerry Zhao
Water 2025, 17(3), 408; https://doi.org/10.3390/w17030408 (registering DOI) - 1 Feb 2025
Viewed by 316
Abstract
Foreign capital has dominated over half of the public–private partnership (PPP) projects in developing countries over the past three decades. As such, attracting and regulating foreign participation in water PPP projects presents a critical challenge for both practitioners and scholars. Using a dataset [...] Read more.
Foreign capital has dominated over half of the public–private partnership (PPP) projects in developing countries over the past three decades. As such, attracting and regulating foreign participation in water PPP projects presents a critical challenge for both practitioners and scholars. Using a dataset of 2024 water PPP projects from 1994 to 2021, this study investigates foreign participation and its fall in China’s water PPP projects. Our findings highlight three key points: First, the proportion of projects undertaken by foreign capital decreased from 100% to less than 0.5%, with Chinese domestic capital taking its place. Second, resource dependence on foreign capital and the local government’s need for control lead to four types of foreign participation: financing water plants under user-pays, financing and operating water utilities under government-pays, participating with mainly an O&M role, and nearly no participation. Third, a better balance between efficiency gains and control needs via cooperation with domestic capital by local governments had driven the decline in foreign participation. This study makes two key contributions: (1) it is one of the pioneer studies on systematically tracing the evolution of foreign participation in PPP projects, and (2) it explains the fall of foreign participation from a local government perspective, complementing market-based explanations. Full article
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<p>China’s water PPP development from 1994–2021.</p>
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<p>Flowchart of data processing.</p>
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<p>Yearly shares of four capitals by volume of PPP projects from 1994 to 2021.</p>
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<p>Distribution of water PPP projects from 1994 to 2000.</p>
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<p>Distribution of water PPP projects from 2001 to 2007.</p>
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<p>Distribution of water PPP projects from 2008 to 2013.</p>
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<p>Distribution of water PPP projects from 2014 to 2021.</p>
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<p>Analytic framework. Note: SOE = state-owned enterprise; O&amp;M = operation and maintenance.</p>
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<p>Sub-types of four capitals by volume of PPP projects from 1994 to 2021.</p>
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33 pages, 8519 KiB  
Article
Comprehensive Assessment of the Jebel Zaghouan Karst Aquifer (Northeastern Tunisia): Availability, Quality, and Vulnerability, in the Context of Overexploitation and Global Change
by Emna Gargouri-Ellouze, Fairouz Slama, Samiha Kriaa, Ali Benhmid, Jean-Denis Taupin and Rachida Bouhlila
Water 2025, 17(3), 407; https://doi.org/10.3390/w17030407 (registering DOI) - 1 Feb 2025
Viewed by 270
Abstract
Karst aquifers in the Mediterranean region are crucial for water supply and agriculture but are increasingly threatened by climate change and overexploitation. The Jebel Zaghouan aquifer, historically significant for supplying Carthage and Tunis, serves as the focus of this study, which aims to [...] Read more.
Karst aquifers in the Mediterranean region are crucial for water supply and agriculture but are increasingly threatened by climate change and overexploitation. The Jebel Zaghouan aquifer, historically significant for supplying Carthage and Tunis, serves as the focus of this study, which aims to evaluate its availability, quality, and vulnerability to ensure its long-term sustainability. To achieve this, various methods were employed, including APLIS and COP for recharge assessment and vulnerability mapping, SPEI and SGI drought indices, and stable and radioactive isotope analysis. The findings revealed severe groundwater depletion, primarily caused by overexploitation linked to urban expansion. Minimal recharge was observed, even during wet periods. APLIS analysis indicated moderate infiltration rates, consistent with prior reservoir models and the MEDKAM map. Isotopic analysis highlighted recharge from the Atlantic and mixed rainfall, while Tritium and Carbon-14 dating showed a mix of ancient and recent water, emphasizing the aquifer’s complex hydrodynamics. COP mapping classified 80% of the area as moderately vulnerable. Monitoring of nitrate levels indicated fluctuations, with peaks during wet years at Sidi Medien Spring, necessitating control measures to safeguard water quality amid agricultural activities. This study provides valuable insights into the aquifer’s dynamics, guiding sustainable management and preservation efforts. Full article
(This article belongs to the Special Issue Recent Advances in Karstic Hydrogeology, 2nd Edition)
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<p>Location of the Jebel Zaghouan karst aquifer.</p>
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<p>Geological context of Jebel Zaghouan.</p>
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<p>Location map of sampling boreholes and springs.</p>
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<p>Zaghouan springs production (Million cubic meters per year).</p>
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<p>Average annual precipitation.</p>
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<p>Conductivity and Temperature of groundwater samples.</p>
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<p>(<b>a</b>) calibration period (1915–1927) water budget, (<b>b</b>) validation period (1970–1995) water budget.</p>
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<p>(<b>a</b>) Temporal evolution of the static level at the piezometer, monthly produced amounts and (<b>b</b>) monthly rainfall.</p>
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<p>Variation of the monthly calculated SPEI and SGI from 2002 to 2020.</p>
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<p>Groundwater recharge distribution by the APLIS.</p>
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<p>Recharge in mm for a median year of precipitation.</p>
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<p>Piper diagram.</p>
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<p>(<b>a</b>) Stable isotope content for the Temple and Ain Ayed bis 3 boreholes and the global meteoric water line (GMWL); (<b>b</b>) Temporal evolution of D-excess for Ain Ayed 3 bis borehole; (<b>c</b>) Temporal evolution of oxygen-18 for Ain Ayed 3 bis borehole; (<b>d</b>) D-excess vs oxygen-18 for Ain Ayed 3 bis borehole.</p>
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<p>C, O and P factors and COP vulnerability maps of for Jebel Zaghouan.</p>
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<p>Nitrates value maps for the campaigns of 2012 and 2022.</p>
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<p>Example of non-digitized measured hydrograph at Nymphée and Ain Ayed springs from 1929 to 1930.</p>
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<p>Main factors playing a role in the definition of the COP map [<a href="#B44-water-17-00407" class="html-bibr">44</a>].</p>
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<p>Monthly rainfall for 2021 and 2022 (orange dot line: threshold of 20 mm, green bars over the threshold).</p>
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<p>Precipitation spatial distribution.</p>
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<p>Number of rainy days according to altitude.</p>
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23 pages, 13298 KiB  
Article
A Case Study of the Debris Flows Event in the Chalk Cliffs Basin, Colorado, USA: Numerical Simulations Based on a Multi-Phase Flow Model
by Mohammad Wasif Naqvi, Diwakar KC and Liangbo Hu
Water 2025, 17(3), 406; https://doi.org/10.3390/w17030406 (registering DOI) - 1 Feb 2025
Viewed by 278
Abstract
Debris flows are among the severe gravity-driven mass phenomena that pose a significant threat to the environment and communities. Recent events and studies in the Chalk Cliffs basin in Colorado suggest that it is very susceptible to debris flow incidents that initiate from [...] Read more.
Debris flows are among the severe gravity-driven mass phenomena that pose a significant threat to the environment and communities. Recent events and studies in the Chalk Cliffs basin in Colorado suggest that it is very susceptible to debris flow incidents that initiate from surface run-off, which involves significant entrainment of material along the hill slope and channel sediments. The entrainment of material along the flow makes these events destructive, with large travel distances s well as high velocity, flow pressure, kinetic energy, etc. This paper presents a case study of a debris flow event on 15 September 2009 based on a multi-phase flow model. The model provides the ability to investigate the effect of fluid and solid phases individually. Three sensitivity analyses are presented investigating the effect of bed roughness on solid and fluid phases separately, and also the effect of the entrainment of bed material. The findings demonstrate that the numerical model effectively replicates the observed field data, with the simulated peak discharge and runout distance closely aligning with the observed measurements. The analysis reveals that lower bed roughness promotes higher flow mobility and longer runout distances, while entrainment significantly influences flow height, velocity, and deposition pattern. Furthermore, the analysis highlights the dominant role of entrainment in debris flow evolution and emphasizes its importance in determining deposition and erosion patterns. These findings provide critical insights into the key processes of debris flows and could contribute to the development of accurate numerical models for debris flow events. Full article
(This article belongs to the Special Issue Flowing Mechanism of Debris Flow and Engineering Mitigation)
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<p>Topographic Map of Chalk Cliffs, Colorado, USA [<a href="#B37-water-17-00406" class="html-bibr">37</a>] (reproduced with the permission of Geomorphology).</p>
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<p>A map of the Chalk Creek Valley and the alluvial fan (from Wasklewicz and Scheinert [<a href="#B46-water-17-00406" class="html-bibr">46</a>], reproduced with the permission of Geomorphology).</p>
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<p>Hill shade view with the initial release (marked with yellow blocks), station points (green dots, indicating US, MS, and LS), and other control points (yellow dots, indicating BM, CC, and FA).</p>
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<p>The elevation profile along the flow path; markers indicate the six observation locations in descending order of US, MS, LS, BM, CC, and FA.</p>
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<p>Flow height and discharge at six selected locations: (<b>a</b>) US, (<b>b</b>) MS, (<b>c</b>) LS, (<b>d</b>) BM, (<b>e</b>) CC, and (<b>f</b>) FA; solid line indicates flow height, and bar indicates discharge, including both solid phase (red) and fluid phase (blue), which are plotted together for comparison purposes, note that the negative sign has no physical meaning.</p>
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<p>(<b>a</b>) Frontal velocity along the flow path; (<b>b</b>) maximum velocity at selected locations.</p>
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<p>Maximum entrained depth at selected locations.</p>
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<p>Flow height for (<b>a</b>) solid, (<b>b</b>) fluid, (<b>c</b>) total (combined solid and fluid), and (<b>d</b>) final basechange.</p>
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<p>Maximum velocity for the (<b>a</b>) solid and (<b>b</b>) fluid phases during the simulated debris flow.</p>
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<p>(<b>a</b>) Maximum kinetic energy and (<b>b</b>) maximum flow pressure during the simulated debris flow.</p>
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<p>(<b>a</b>) Maximum kinetic energy and (<b>b</b>) maximum flow pressure during the simulated debris flow.</p>
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<p>Final Basechange with a basal solid friction angle of (<b>a</b>) <math display="inline"><semantics> <msup> <mn>10</mn> <mo>∘</mo> </msup> </semantics></math> and (<b>b</b>) <math display="inline"><semantics> <msup> <mn>20</mn> <mo>∘</mo> </msup> </semantics></math>.</p>
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<p>Maximum flow height with a basal solid friction angle of (<b>a</b>) <math display="inline"><semantics> <msup> <mn>10</mn> <mo>∘</mo> </msup> </semantics></math> and (<b>b</b>) <math display="inline"><semantics> <msup> <mn>20</mn> <mo>∘</mo> </msup> </semantics></math>.</p>
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<p>Final basechange with an entrainment coefficient of (<b>a</b>) <math display="inline"><semantics> <mrow> <msub> <mi>C</mi> <mi>E</mi> </msub> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math>, (<b>b</b>) <math display="inline"><semantics> <mrow> <msub> <mi>C</mi> <mi>E</mi> </msub> <mo>=</mo> <msup> <mn>10</mn> <mrow> <mo>−</mo> <mn>6.75</mn> </mrow> </msup> </mrow> </semantics></math>, and (<b>c</b>) <math display="inline"><semantics> <mrow> <msub> <mi>C</mi> <mi>E</mi> </msub> <mo>=</mo> <msup> <mn>10</mn> <mrow> <mo>−</mo> <mn>6.55</mn> </mrow> </msup> </mrow> </semantics></math>.</p>
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<p>Maximum flow height with an entrainment coefficient of (<b>a</b>) <math display="inline"><semantics> <mrow> <msub> <mi>C</mi> <mi>E</mi> </msub> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math>, (<b>b</b>) <math display="inline"><semantics> <mrow> <msub> <mi>C</mi> <mi>E</mi> </msub> <mo>=</mo> <msup> <mn>10</mn> <mrow> <mo>−</mo> <mn>6.75</mn> </mrow> </msup> </mrow> </semantics></math>, and (<b>c</b>) <math display="inline"><semantics> <mrow> <msub> <mi>C</mi> <mi>E</mi> </msub> <mo>=</mo> <msup> <mn>10</mn> <mrow> <mo>−</mo> <mn>6.55</mn> </mrow> </msup> </mrow> </semantics></math>.</p>
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17 pages, 2027 KiB  
Article
Comparison of the Effectiveness of Artificial Neural Networks and Elastic Net Regression in Surface Runoff Modeling
by Jacek Dawidowicz and Rafał Buczyński
Water 2025, 17(3), 405; https://doi.org/10.3390/w17030405 (registering DOI) - 1 Feb 2025
Viewed by 227
Abstract
This study compares Artificial Neural Networks (ANN) and Elastic Net regression for predicting surface runoff in urban stormwater catchments. Both models were trained on a data set derived from the Stormwater Management Model that included parameters such as imperviousness, flow path width, slope, [...] Read more.
This study compares Artificial Neural Networks (ANN) and Elastic Net regression for predicting surface runoff in urban stormwater catchments. Both models were trained on a data set derived from the Stormwater Management Model that included parameters such as imperviousness, flow path width, slope, Manning coefficients, and depression storage. ANN exhibited greater predictive accuracy and stability, especially when modeling nonlinear hydrologic interactions, while Elastic Net offered faster inference and clearer interpretability, but showed reduced accuracy in low-flow conditions. Validation on real-world data revealed the sensitivity of the models to scenarios not fully represented during training. Despite higher computational demands, the ANN proved more adaptable, while the more resource-efficient Elastic Net remains suitable for time-critical or large-scale applications. These findings provide practical insights for urban water resource management, indicating when each approach can be most effectively used in flood risk assessment and stormwater infrastructure planning. Full article
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<p>Dependence of runoff on subcatchment properties: (<b>a</b>) Dependence of runoff on subcatchment width; (<b>b</b>) Dependence of runoff on subcatchment imperviousness; (<b>c</b>) Dependence of runoff on subcatchment slope; (<b>d</b>) Dependence of runoff on subcatchment N-Imperv; (<b>e</b>) Dependence of runoff on subcatchment N-Perv; (<b>f</b>) Dependence of runoff on subcatchment D-Imperv; (<b>g</b>) Dependence of runoff on subcatchment D-Perv; (<b>h</b>) Dependence of runoff on subcatchment PctZero.</p>
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<p>Dependence of runoff on subcatchment properties: (<b>a</b>) Dependence of runoff on subcatchment width; (<b>b</b>) Dependence of runoff on subcatchment imperviousness; (<b>c</b>) Dependence of runoff on subcatchment slope; (<b>d</b>) Dependence of runoff on subcatchment N-Imperv; (<b>e</b>) Dependence of runoff on subcatchment N-Perv; (<b>f</b>) Dependence of runoff on subcatchment D-Imperv; (<b>g</b>) Dependence of runoff on subcatchment D-Perv; (<b>h</b>) Dependence of runoff on subcatchment PctZero.</p>
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<p>Comparison of flow forecasting accuracy by ANN and Elastic Net models with test data: (<b>a</b>) ANN model. Points represent actual data versus predicted values. The regression line represents a perfect fit. The ANN model achieves high prediction accuracy (MSE = 21.257, R<sup>2</sup> = 0.997); (<b>b</b>) Elastic Net model. Points represent actual data versus predicted values. The regression line represents a perfect fit. The Elastic Net model has significant prediction error, especially at low flows (MSE = 340.134, R<sup>2</sup> = 0.953).</p>
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<p>Statistical analysis of the error distribution for the ANN and Elastic Net models: (<b>a</b>) ANN model. The mean error is 0.08 m<sup>3</sup>/s with a standard deviation of 1.51 m<sup>3</sup>/s; 90% of the errors are between −2.13 and 2.78 m<sup>3</sup>/s. The median error is −0.03 m<sup>3</sup>/s. (<b>b</b>) Elastic Net model. The mean error is 0.08 m<sup>3</sup>/s with a standard deviation of 18.44 m<sup>3</sup>/s; 90% of the errors range from −24.23 to 16.10 m<sup>3</sup>/s. The median error is 3.80 m<sup>3</sup>/s.</p>
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<p>Analysis of the error difference between the ANN and Elastic Net models: (<b>a</b>) Histogram of absolute error differences (m<sup>3</sup>/s). The red line at 17.36 m<sup>3</sup>/s indicates the 90th percentile threshold. (<b>b</b>) Scatter plot highlighting cases below or above the threshold. Approximately 10% of the differences exceed 17.36 m<sup>3</sup>/s, revealing conditions under which the two models diverge considerably.</p>
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17 pages, 2942 KiB  
Article
Response of Trichoptera and Oligochaeta Communities to Modifications of Mountain River Channels with Low-Head Barriers
by Ewa Szarek-Gwiazda, Elżbieta Dumnicka, Bronisław Szczęsny, Andrzej Kownacki and Dariusz Ciszewski
Water 2025, 17(3), 404; https://doi.org/10.3390/w17030404 (registering DOI) - 1 Feb 2025
Viewed by 240
Abstract
The responses of benthic fauna to channel modifications of mountain rivers by low-head barriers are poorly understood. The study aimed (1) to estimate the impact of two different low-head barrier types: concrete sills and block ramps, on Oligochaeta and Trichoptera communities in two [...] Read more.
The responses of benthic fauna to channel modifications of mountain rivers by low-head barriers are poorly understood. The study aimed (1) to estimate the impact of two different low-head barrier types: concrete sills and block ramps, on Oligochaeta and Trichoptera communities in two small Carpathian rivers (Porębianka and Mszanka) in southern Poland, and (2) to determine changes in these communities in the mountain Porębianka River after 50 years by comparing current data with historical data. Both types of channel modifications led to a transformation from lotic to more lentic habitats. The research shows that habitat conditions and induced bed siltation greatly influenced the studied communities. In both rivers, the taxa richness and dominant taxa of Oligochaeta and Trichoptera were similar, alongside similar species compositions of Trichoptera. However, the river with the lower bed siltation rate had a higher Trichoptera density and a greater diversity in their density among habitats. After 50 years, the taxonomic richness of Oligochaeta and Trichoptera remained similar, unlike the considerable shift in their species compositions. Many species typical of mountain rivers have been replaced by species more tolerant to siltation, characteristic of lowland rivers. The family Tubificidae (Oli-gochaeta) and the genus Hydropsyche (Trichoptera) became dominant in both rivers in the early 2020s. Additionally, the functional feeding group (FFG) of Trichoptera changed considerably. Oligochaeta and Trichoptera communities serve as valuable indicators for moni-toring the environmental changes in these ecosystems. Full article
(This article belongs to the Section Biodiversity and Functionality of Aquatic Ecosystems)
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<p>Locations of the study sites and in-stream barriers.</p>
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<p>The density and dominant families of Oligochaeta in the studied habitats of the Porębianka and Mszanka rivers in the early 2020s.</p>
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<p>Hierarchical cluster analysis based on the percentage share of Oligochaeta and Trichoptera families in the Porębianka and Mszanka rivers.</p>
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<p>The density and dominant families of Trichoptera in the studied habitats of the Porębianka and Mszanka rivers in the early 2020s.</p>
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<p>The dominant taxa (<b>A</b>) and families (<b>B</b>) of Oligochaeta and Trichoptera in the studied section of the Porębianka and Mszanka rivers (according to the formula of [<a href="#B36-water-17-00404" class="html-bibr">36</a>]) in the early 2020s, as well as in the Porębianka River in the 1970s or 1980s (according to [<a href="#B26-water-17-00404" class="html-bibr">26</a>,<a href="#B28-water-17-00404" class="html-bibr">28</a>]).</p>
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22 pages, 16461 KiB  
Article
Water Management Instructions as an Element of Improving the State of the Pakoski Reservoir (Central–Western Poland)
by Bogumił Nowak, Grzegorz Dumieński and Agnieszka Ławniczak-Malińska
Water 2025, 17(3), 403; https://doi.org/10.3390/w17030403 (registering DOI) - 1 Feb 2025
Viewed by 278
Abstract
The management of reservoir dams in the context of observed climate changes and changing environmental conditions is becoming an increasingly significant challenge. Changes in the regimes of rivers feeding the reservoirs, sudden floods, long periods of drought, shallowing of reservoirs, water pollution, and [...] Read more.
The management of reservoir dams in the context of observed climate changes and changing environmental conditions is becoming an increasingly significant challenge. Changes in the regimes of rivers feeding the reservoirs, sudden floods, long periods of drought, shallowing of reservoirs, water pollution, and algal blooms create unprecedented threats to the operation of these reservoirs. Among these challenges, the most crucial seems to be the proper management of available water resources, which condition the existence of the reservoir. The location of the reservoir has a significant impact on how water management is conducted. In the case of mountain and upland reservoirs created for flood protection of areas downstream, water management practices differ significantly from those for lowland reservoirs, which primarily serve to retain water for industrial and agricultural needs in the area, with an additional flood protection function. The aim of this study was to assess the factors determining the supply of lowland reservoirs using the example of the Pakoski Reservoir (Central–Western Poland) and to propose actions that would allow more efficient management of water resources in the catchment and reservoir, enabling the preservation of the current morphometric parameters in the face of climate change, adverse environmental phenomena, and increased anthropogenic pressure in the catchment area. This study focused on the Pakoski Reservoir, located in the southern part of the Kuyavian–Pomeranian Voivodeship. It was constructed fifty years ago as a result of damming water in the river systems of the Noteć and Mała Noteć Rivers. For decades, it served its functions, and its management posed no major issues. However, over the past decade, due to environmental changes and human activities in the catchment area, the reservoir has increasingly faced problems with filling. Full article
(This article belongs to the Special Issue Climate Change and Hydrological Processes)
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<p>Pakoski Reservoir catchment (source: own elaboration based on IMGW-PIB data).</p>
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<p>Monthly average water flows in the western Noteć at the Gębice water gauge station (source: own elaboration based on IMGW-PIB data).</p>
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<p>Monthly average water flows in the Panna River at the Goryszewo water gauge station (source: own study based on IMGW-PIB data).</p>
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<p>Annual precipitation and average air temperature on climatological station Kołuda Wielka (source: own elaboration based on IMGW-PIB data).</p>
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<p>The range of lakes comprising the Pakoski Water Reservoir in 1940 (<b>A</b>) and 2012 (<b>B</b>) (source: own elaboration based on materials from the Archive of Maps of Western Poland—<a href="http://mapy.amzp.pl/tk25.cgi?11,36,50,103" target="_blank">http://mapy.amzp.pl/tk25.cgi?11,36,50,103</a>—and the Geoportal website [<a href="#B20-water-17-00403" class="html-bibr">20</a>]—accessed on 8 November 2024). The reservoir’s shores are lined with a strip of woodland, which is periodically submerged. The total shoreline length is approximately 50.6 km, with about 15% of it reinforced with stone riprap. This mainly concerns the dams intersecting the reservoir, including embankments and road and railway embankments, as well as the front and side dams [<a href="#B19-water-17-00403" class="html-bibr">19</a>]. Unprotected shores are subject to abrasion, and to a lesser extent, accumulation. The eastern shore, where cliffs rise up to 5 m in height, is more heavily transformed. In the southern part of the reservoir, dense reedbed communities are present, mainly composed of reedbeds overgrown with willows (<span class="html-italic">Salix</span> sp.). The shores of the lake are partially forested (<a href="#water-17-00403-f005" class="html-fig">Figure 5</a>B). Behind the reedbed and wooded strip, fields and buildings dominate the landscape. The largest settlements located near the reservoir include Pakość to the north, Janikowo and Bronisław on the eastern shore, and Trląg and Głogówiec on the western shore.</p>
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<p>Diagram of water management in the Pakoski Reservoir (source: own elaboration based on data of PGW Wody Polskie).</p>
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<p>Average monthly water levels in the Pakoski Reservoir (source: own elaboration based on data of IMGW-PIB and PGW Wody Polskie).</p>
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<p>Changes in the unitary runoff coefficient in Mała Noteć and Panna in the period of functioning of the Pakoski Reservoir (source: own elaboration based on IMGW-PIB data).</p>
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<p>Water availability in the area of potential alimentation of the Pakoski Reservoir (source: own elaboration based on materials of PGW Wody Polskie).</p>
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<p>Comparison of water levels in the Noteć River, Pakoski Reservoir, and Lake Gopło against their operational damming levels in 2018–2023 (source: own elaboration based on data from IMGW-PIB and PGW Wody Polskie).</p>
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<p>Periods of potential water supply to the Pakoski Reservoir from the Noteć River in 2018–2023 (source: own elaboration based on data from PGW Wody Polskie).</p>
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23 pages, 3668 KiB  
Article
Optimization of Selected Parameters in Vertical, Horizontal, and Hybrid Surface Flow Constructed Wetland Systems for Improving the Treatment Efficiency of Textile and Sewage Effluents
by Faisal Javeed, Firdaus-e-Bareen, Muhammad Shafiq, Aisha Nazir and Miklas Scholz
Water 2025, 17(3), 402; https://doi.org/10.3390/w17030402 (registering DOI) - 1 Feb 2025
Viewed by 251
Abstract
Constructed wetland systems (CWSs) can offer cost-effective wastewater treatment in developing countries like Pakistan. This study focused on optimizing design and operational parameters of CWSs in horizontal surface flow (HSF), vertical surface flow (VSF), and hybrid mesocosms for treating sewage and textile effluents [...] Read more.
Constructed wetland systems (CWSs) can offer cost-effective wastewater treatment in developing countries like Pakistan. This study focused on optimizing design and operational parameters of CWSs in horizontal surface flow (HSF), vertical surface flow (VSF), and hybrid mesocosms for treating sewage and textile effluents using local hydrophytes: Lemna minor, Typha latifolia, and Eichhornia crassipes. Pollutants and heavy metals (Cd, Cr, Cu, Pb, Ni, and Zn) were removed under different flow configurations, bedding materials, hydrophyte species, and hydraulic retention times (HRT) to optimize the overall contaminant removal efficiency (RE). Key findings indicated that the hybrid CWS achieved a maximum RE of 63.62% for total suspended solids (TSS) and 57.9% for biochemical oxygen demand (BOD) at an HRT of 3 days, with efficiencies declining at longer retention times. Additionally, the hybrid system showed maximum metal removal, with Cd and Cr RE reaching 75.2% and 70.5%, respectively. The study also highlighted the critical role of hydrophyte species and HRT in optimizing RE. Furthermore, the choice of hydrophyte species significantly influenced pollutant removal, with treatment cells containing mixed hydrophytes achieving the highest removal efficiencies (63.62%), followed by Eichhornia crassipes with high Cd (643.33 mgkg−1) and Cr (1103.72 mgkg−1) uptake. A lower HRT of 3 days resulted in the highest overall removal efficiency of 57.5%, which decreased with longer HRTs (from 6 to 9 days). Optimizing design and operational parameters is crucial for maximizing CWS treatment potential. Full article
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<p>(<b>A</b>) From left to right, actual view of the horizontal surface flow (HSF) and vertical surface flow (VSF) treatment cells; and (<b>B</b>) from left to the right, VSF and HSF treatment cells planted with <span class="html-italic">P. stratiotes</span> and <span class="html-italic">T. latifolia</span>.</p>
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<p>A view of constructed wetland mesocosms: (<b>A</b>) horizontal surface flow and (<b>B</b>) hybrid flow wetlands planted with <span class="html-italic">Lemna minor</span>, as well as <span class="html-italic">Typha latifolia</span> and <span class="html-italic">Eichhornia crassipes</span> in alternate cells, respectively.</p>
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<p>Correlation of reduction in BOD<sub>5</sub> (mgL<sup>−1</sup>) and COD (mgL<sup>−1</sup>) concentrations.</p>
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<p>Percent removal efficiency of heavy metals (Cd, cadmium; Cr, chromium; Cu, copper; Pb, lead; Ni, nickel; and Zn, zinc) in constructed wetland systems at different stages of treatment. The data represent removal efficiencies at three hydraulic retention times: stage 1 (3 days), stage 2 (6 days), and stage 3 (9 days). Thirty samples per group and three replicates were used to ensure statistical rigor and reliability in the analysis of removal efficiency.</p>
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<p>Comparison of removal efficiencies for three types of constructed wetland systems (CWSs), horizontal surface flow (HSF), vertical surface flow (VSF), and hybrid flow wetlands, using four different bedding materials (concrete demolished aggregates (CDAs), road demolished aggregates (RDAs), dolomite-based gravel, and glass beads). Data were collected over a 12-week period with measurements taken after three days for each treatment group. Thirty samples per group and three replicates each were used to ensure statistical rigor and reliability in the analysis of RE.</p>
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<p>Schematic diagram of the constructed wetland system mesocosm.</p>
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<p>(<b>A</b>) longitudinal view of the constructed wetland system (CWS) showing the artificial flow gradient developed for passive flow of wastewater; (<b>B</b>) a satellite image (image courtesy of Google Earth, ©2023 Google) of three CWS assemblies showing the arrangement of the treatment cell series around the sample feeding tank followed by the cropping area receiving reclaimed water for irrigation; and (<b>C</b>) top view of the CWS showing horizontal flow, hybrid flow, and vertical flow systems.</p>
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<p>The distribution of BOD₅ and COD concentrations throughout the experimental period. The data include measurements from both hybrid and horizontal surface flow CWSs for SE and TE.</p>
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<p>Planted treatment wetland cells: (<b>A</b>) <span class="html-italic">Lemna minor</span> with an average diameter of 1 mm and (<b>B</b>) <span class="html-italic">Pistia stratiotes</span> with an average diameter of 3 cm.</p>
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<p>Variation in the mean biomass of hydrophytes in the treatment cells in relation to humidity, ambient temperature, and water temperature over a period of 14 weeks.</p>
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28 pages, 1446 KiB  
Article
Efficient Naval Surveillance: Addressing Label Noise with Rockafellian Risk Minimization for Water Security
by Gabriel Custódio Rangel, Victor Benicio Ardilha da Silva Alves, Igor Pinheiro de Araújo Costa, Miguel Ângelo Lellis Moreira, Arthur Pinheiro de Araújo Costa, Marcos dos Santos and Eric Charles Eckstrand
Water 2025, 17(3), 401; https://doi.org/10.3390/w17030401 (registering DOI) - 31 Jan 2025
Viewed by 319
Abstract
This study proposes developing a resilient machine learning algorithm based on neural networks to classify naval images used in surveillance, search, and detection operations in vast coastal and marine environments. Coastal areas critical for water resource management often face challenges such as illegal [...] Read more.
This study proposes developing a resilient machine learning algorithm based on neural networks to classify naval images used in surveillance, search, and detection operations in vast coastal and marine environments. Coastal areas critical for water resource management often face challenges such as illegal fishing, trafficking, piracy, and other illicit activities that require robust monitoring systems powered by computer vision. However, real-world datasets in such environments can be compromised by label noise due to random inaccuracies or deliberate adversarial attacks, leading to decreased accuracy in machine learning models. Our innovative approach employs Rockafellian Risk Minimization (RRM) to mitigate the impact of label noise contamination, crucial to maintaining data integrity in water-related security and governance operations. Unlike existing methodologies that rely on extensively cleaned datasets, our two-step process adjusts neural network weights and manipulates nominal probabilities of data points to isolate potential data corruption effectively. This technique reduces dependence on meticulous data cleaning, thereby increasing data processing efficiency in water resources and coastal management. To validate the effectiveness and reliability of the proposed model, we apply RRM in various parameter settings to datasets specific to naval environments and evaluate its classification accuracy against traditional methods. By leveraging the proposed model, we aim to reinforce the robustness of ship detection models, ultimately contributing to developing more reliable automated maritime surveillance systems. Such systems are essential for strengthening governance, security, and water management and curbing illegal activities at sea. Full article
(This article belongs to the Special Issue Coastal and Marine Governance and Protection)
20 pages, 4545 KiB  
Article
An Investigation of the Thickness of Huhenuoer Lake Ice and Its Potential as a Temporary Ice Runway
by Ying Wang, Qiuming Zhao, Bo Zhang, Qingjiang Wang, Peng Lu, Qingkai Wang, Xinghua Bao and Jiahuan He
Water 2025, 17(3), 400; https://doi.org/10.3390/w17030400 (registering DOI) - 31 Jan 2025
Viewed by 299
Abstract
The study of ice runways has significant practical importance. Regarding inland lake ice, while little of the practicality of ice runways during the ice formation period was explored in the published articles, the analysis of the time period and suitable locations may be [...] Read more.
The study of ice runways has significant practical importance. Regarding inland lake ice, while little of the practicality of ice runways during the ice formation period was explored in the published articles, the analysis of the time period and suitable locations may be used. This study focused on Huhenuoer Lake, located in Chen Barag Banner in northeastern China. The time-dependent law of ice growth in this lake has been investigated over a study period from 2023 to 2024. Utilizing the drilling approach, the ice thickness, recorded at each site on 29 February 2024, has surpassed 100 cm. On 14 March 2024, the recorded ice thickness at site #2 reached a record high of 139 cm. Second, to assess the project’s ease of use and safety, we used the Stefan equation to model the lake’s ice growth processes, resulting in a fitted Stefan coefficient of 2.202. For safety considerations, the Stefan coefficient used for the construction of the ice runway was set at 1.870. We investigated the distribution of lake ice and concluded that the lake ice runway should be established in the north. We established the relationship between ice thickness, cumulative snowfall, and negative accumulated temperature by integrating the fitting technique with the Stefan model. Utilizing the P-III method, the minimum value of the maximum negative accumulated temperature for the 50-year return period is 2092.46 °C·d, while the maximum cumulative snowfall for the 50-year period is 58.4 mm. We can apply these values to the aforementioned relationship to derive the ice thickness patterns across varying return periods. Finally, the study provides recommendations for the construction of the ice runway at Huhenuoer Lake. This study introduces ice field research and an ice growth model into the analysis of lake ice runway operations to provide technical assistance for ice runways. Full article
(This article belongs to the Special Issue Ice and Snow Properties and Their Applications)
16 pages, 3126 KiB  
Article
A Soil Refractive Index (SRI) Model Characterizing the Functional Relationship Between Soil Moisture Content and Permittivity
by Erji Du, Lin Zhao, Guojie Hu, Zanpin Xing, Tonghua Wu, Xiaodong Wu, Ren Li, Defu Zou, Guangyue Liu, Lingxiao Wang, Zhibin Li, Yuxin Zhang, Yao Xiao and Yonghua Zhao
Water 2025, 17(3), 399; https://doi.org/10.3390/w17030399 - 31 Jan 2025
Viewed by 315
Abstract
The functional relationship between soil permittivity and soil water content serves as the theoretical foundation for electromagnetic wave-based techniques used to determine soil moisture levels. However, the response of permittivity to changes in soil water content varies significantly across different soil types. Current [...] Read more.
The functional relationship between soil permittivity and soil water content serves as the theoretical foundation for electromagnetic wave-based techniques used to determine soil moisture levels. However, the response of permittivity to changes in soil water content varies significantly across different soil types. Current models that utilize soil permittivity to estimate soil water content are often based on empirical statistical relationships specific to particular soil types. Moreover, existing physical models are hindered by an excessive number of parameters, which can be difficult to measure or calculate. This study introduces a universal model, termed the Soil Refractive Index (SRI) model, to describe the relationship between soil permittivity and soil water content. The SRI model is derived from the propagation velocity of electromagnetic waves in various soil components and the functional relationship between electromagnetic wave velocity and relative permittivity. The SRI model expresses soil water content as a linear function of the square root of the relative permittivity for any soil type with the slope and intercept as the two undetermined parameters. The slope is primarily influenced by the relative permittivity of soil water, while the intercept is mainly affected by both the slope and the soil porosity. The applicability of the SRI model is validated through tested soil samples and comparison with previously published empirical statistical models. For dielectric lossless soil, the theoretical value of the slope is calculated to be 0.126. The intercept varies across different soil types and increases linearly with soil porosity. The SRI model provides a theoretical basis for calculating soil water content using permittivity across various soil types. Full article
(This article belongs to the Section Soil and Water)
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<p>Laboratory tested relative complex permittivity (ε<sub>r</sub>, ε<sub>i</sub>) and loss tangent (tanδ) under different soil water content conditions of three soils, (<b>a</b>) SS, (<b>b</b>) OS, (<b>c</b>) HS.</p>
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<p>The linear relationship fitting results between <span class="html-italic">θ</span> and <math display="inline"><semantics> <mrow> <msqrt> <msub> <mrow> <mi>ε</mi> </mrow> <mrow> <mi>r</mi> </mrow> </msub> </msqrt> </mrow> </semantics></math> for (<b>a</b>) SS, (<b>b</b>) OS, and (<b>c</b>) HS.</p>
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<p>The linear relationship fitting results between <span class="html-italic">θ</span> and <math display="inline"><semantics> <mrow> <msqrt> <msub> <mrow> <mi>ε</mi> </mrow> <mrow> <mi>r</mi> </mrow> </msub> </msqrt> </mrow> </semantics></math> for (<b>a</b>) SS, (<b>b</b>) OS, and (<b>c</b>) HS.</p>
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<p>Comparison between the measured <math display="inline"><semantics> <mrow> <mi>θ</mi> </mrow> </semantics></math> and calculated results with SRI model for (<b>a</b>) SS, (<b>b</b>) OS, and (<b>c</b>) HS.</p>
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<p>Comparison between SRI model and equations published by (<b>a</b>)Topp, (<b>b</b>) Malicki and (<b>c</b>) Roth for mineral soils.</p>
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<p>Comparison between SRI model (<math display="inline"><semantics> <mrow> <mi>A</mi> <mo>=</mo> <mn>0.126</mn> </mrow> </semantics></math> and Topp equation for (<b>a</b>) sandy loam, (<b>b</b>) clay, (<b>c</b>) SRI model (<math display="inline"><semantics> <mrow> <mi>A</mi> <mo>=</mo> <mn>0.099</mn> </mrow> </semantics></math>) and Topp equation for clay.</p>
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<p>Comparison between SRI model (<math display="inline"><semantics> <mrow> <mi>A</mi> <mo>=</mo> <mn>0.126</mn> </mrow> </semantics></math> and Topp equation for (<b>a</b>) sandy loam, (<b>b</b>) clay, (<b>c</b>) SRI model (<math display="inline"><semantics> <mrow> <mi>A</mi> <mo>=</mo> <mn>0.099</mn> </mrow> </semantics></math>) and Topp equation for clay.</p>
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<p>Comparison between SRI model and (<b>a</b>) Topp equation, (<b>b</b>) Roth equation, (<b>c</b>) Malicki equation and (<b>d</b>) Schaap equation for organic soil.</p>
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<p>Statistical relationship between soil porosity and parameter B in SRI model for different soil (red cross marks represents our tested three soils, SS, OS and HS).</p>
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25 pages, 4497 KiB  
Article
Regional Gaps, Spatial Distribution Patterns, and Evolutionary Trends of Marine New Quality Productivity in China
by Renhong Wu, Wei Wang, Lihua Yang and Yao Wu
Water 2025, 17(3), 398; https://doi.org/10.3390/w17030398 - 31 Jan 2025
Viewed by 308
Abstract
By analyzing a comprehensive dataset of marine economic activity in China’s 11 coastal provincial administrative regions from 2006 to 2021, we constructed productivity indices to identify regional differences, spatial distribution patterns, and evolutionary trends at the national level, with particular focus on the [...] Read more.
By analyzing a comprehensive dataset of marine economic activity in China’s 11 coastal provincial administrative regions from 2006 to 2021, we constructed productivity indices to identify regional differences, spatial distribution patterns, and evolutionary trends at the national level, with particular focus on the three major maritime economic circles. The results indicate that China’s marine economy is generally growing, and development of marine new quality productivity (MNQP) in the eastern maritime economic circle is better than that in the northern and southern maritime economic circles. This regional gap in coastal areas at low, high, and higher levels gradually increases, while the regional gap decreases in coastal areas at lower levels. The gaps in the degree of openness to the outside world (X4) and in the level of financial development (X7) are the main factors contributing to regional differences in China’s marine new quality productivity. The overall center of gravity of marine new quality productivity is in the south, indicating the rapid growth momentum of the southern maritime economic circle; China’s marine new quality productivity shows a northeast–southwest distribution pattern; and the degree of agglomeration of China’s marine new quality productivity has increased. In the process of moving towards balanced and coordinated regional development of China’s marine industry, there are both opportunities and challenges. Breaking the self-locking tendencies of the lower-level state and preventing its downgrading are the biggest challenges for achieving this goal. However, China’s marine new quality productivity will be stabilized in states at high and higher levels. Full article
16 pages, 1021 KiB  
Review
Aquaculture Development in Myanmar: Aquaculture Quo Vadis?
by Sven Wuertz and Florian Muehlbauer
Water 2025, 17(3), 397; https://doi.org/10.3390/w17030397 - 31 Jan 2025
Viewed by 283
Abstract
This paper explores how the aquaculture sector in Myanmar may manage its future by tracing the policy developments in the recent past and highlighting the opportunities that have arisen from this paradigm shift. In particular, the shift to an integrated, systematic approach based [...] Read more.
This paper explores how the aquaculture sector in Myanmar may manage its future by tracing the policy developments in the recent past and highlighting the opportunities that have arisen from this paradigm shift. In particular, the shift to an integrated, systematic approach based on research data and scientific information as a basis for decision-making has brought a fresh breeze to the sector’s policy making, showcased by several policy guidelines such as the Standard for Good Aquaculture Practice (GAQP), the National Aquaculture Development Plan (NADP) and the Guidelines for Save Fish Processing. This creates opportunities, especially for international cooperation, where practical solutions can be found at the working level to the challenging problems of the sector. We have identified the challenges that need to be urgently addressed for the sector to contribute to income and food security. In particular, sustainable feeds, diversification and emerging candidates, aquatic animal health and disease management as well as adaptation to climate change will be discussed. Finally, a SWOT analysis is provided. Full article
(This article belongs to the Section Water Resources Management, Policy and Governance)
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<p>Myanmar’s aquaculture production in brackish water, freshwater and marine.</p>
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<p>Diversity of the aquaculture sector in Myanmar compared to neighboring Bangladesh and Thailand. Characteristic curve of the accumulated annual production ranked by intensity reveals a substantially less diverse sector in Myanmar.</p>
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25 pages, 6314 KiB  
Article
Flood Monitoring Based on Multi-Source Remote Sensing Data Fusion Driven by HIS-NSCT Model
by Pengfei Ding, Rong Li, Chenfei Duan and Hong Zhou
Water 2025, 17(3), 396; https://doi.org/10.3390/w17030396 - 31 Jan 2025
Viewed by 316
Abstract
Floods have significant impacts on economic development and cause the loss of both lives and property, posing a serious threat to social stability. Effectively identifying the evolution patterns of floods could enhance the role of flood monitoring in disaster prevention and mitigation. Firstly, [...] Read more.
Floods have significant impacts on economic development and cause the loss of both lives and property, posing a serious threat to social stability. Effectively identifying the evolution patterns of floods could enhance the role of flood monitoring in disaster prevention and mitigation. Firstly, in this study, we utilized low-cost multi-source multi-temporal remote sensing to construct an HIS-NSCT fusion model based on SAR and optical remote sensing in order to obtain the best fusion image. Secondly, we constructed a regional growth model to accurately identify floods. Finally, we extracted and analyzed the extent, depth, and area of the farmland submerged by the flood. The results indicated that the HIS-NSCT fusion model maintained the spatial characteristics and spectral information of the remote sensing images well, as determined through subjective and objective multi-index evaluations. Moreover, the regional growth model could preserve the detailed features of water body edges, eliminate misclassifications caused by terrain shadows, and enable the effective extraction of water bodies. Based on multi-temporal remote sensing fusion images of Poyang Lake, and incorporating precipitation, elevation, cultivated land, and other data, the accurate identification of the flood inundation range, inundation depth, and inundated cultivated land area can be achieved. This study provides data and technical support for regional flood identification, flood control, and disaster relief decision-making, among other aspects. Full article
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<p>Research framework diagram.</p>
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<p>Geographical location of Poyang Lake area.</p>
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<p>Flowchart of PCA fusion model.</p>
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<p>Flowchart of HIS fusion model.</p>
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<p>Flowchart of wavelet transform fusion model.</p>
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<p>Flowchart of NSCT fusion model.</p>
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<p>The process of the region growth algorithm. (<b>a</b>) Remote sensing original image. (<b>b</b>) Schematic diagram of the directional gradient calculated by the model. (<b>c</b>) Schematic diagram of regional growth process.) Here, the growth is stopped by setting the region data (the total number of pixels in the data) and the number of iterations, which is usually set to 10. The selection of seed points is often achieved through manual interaction or by searching for objects and extracting internal points as seed points [<a href="#B36-water-17-00396" class="html-bibr">36</a>].</p>
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<p>Comparison of SAR image results with different filtering treatments.</p>
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<p>Image fusion results for Chenjiahu in research area A.</p>
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<p>The fusion results for the Zhuhu Lake images in research area B.</p>
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<p>Multi-temporal water extraction results.</p>
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<p>Multi-temporal water extraction results.</p>
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<p>Daily precipitation in Poyang Lake area from June to July 2019.</p>
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<p>Water body extraction boundary overlay change map.</p>
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<p>Identification and analysis of pre-disaster, disaster (<b>a</b>), and post-disaster (<b>b</b>) periods of flood events.</p>
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<p>Statistical chart of flooded farmland area.</p>
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25 pages, 1627 KiB  
Article
Identifying the Determinants of Water Rights Price: The Chilean Case
by Ana Araos and Lisandro Roco
Water 2025, 17(3), 395; https://doi.org/10.3390/w17030395 - 31 Jan 2025
Viewed by 222
Abstract
This study investigates the water rights markets across various regions of Chile, encompassing a wide range of geographic and climatic conditions. Utilizing 10,345 transaction records from 1990 to 2014 provided by the national authority for the regulation of utilities, this dataset covers data [...] Read more.
This study investigates the water rights markets across various regions of Chile, encompassing a wide range of geographic and climatic conditions. Utilizing 10,345 transaction records from 1990 to 2014 provided by the national authority for the regulation of utilities, this dataset covers data from 12 of the 15 regions of Chile at the time and 26 basins across the country. The comprehensive nature of this study, which has not been previously achieved with such a reliable and extensive dataset, aims to analyze price determinants in these markets. This novel approach allows us to understand the global performance of water markets. Key considerations include climatic variables such as annual precipitation and maximum temperatures, regional GDP per capita, and factors like mining industrialization level, transaction size, rurality index, and the existence of scarcity decrees. Employing a hedonic model, particularly a quantile model with robust errors, the research assesses the impact of these variables on observed prices. The findings reveal market heterogeneity with variables such as precipitation, geopolitical, and demographic characteristics, industrialization, and transaction volume significantly influence water rights prices. Interestingly, water scarcity decrees, intended to minimize drought damages, paradoxically resulted in lower water right prices. The study also highlights a predominant corporate presence and sector-specific purchasing geographic patterns, particularly in the agricultural and mining sectors. These insights are critical for ecosystem services valuation and for informing sustainable water resource management in the face of climate change and natural resource governance challenges. Full article
(This article belongs to the Special Issue Balancing Competing Demands for Sustainable Water Development)
20 pages, 6126 KiB  
Article
Investigation of Splashing Characteristics During Spray Impingement Using VOF–DPM Approach
by Mingming Chen, Linmin Li, Zhe Lin, Junhao Zhang and Fengyu Li
Water 2025, 17(3), 394; https://doi.org/10.3390/w17030394 - 31 Jan 2025
Viewed by 324
Abstract
Liquid jets impinging on surfaces are widely found in various industrial processes, such as spray painting, high-pressure water jets, and dishwashers. The liquid jets can break up into sprays with discrete, small-scale features that are difficult to reveal. This work proposes a multiscale [...] Read more.
Liquid jets impinging on surfaces are widely found in various industrial processes, such as spray painting, high-pressure water jets, and dishwashers. The liquid jets can break up into sprays with discrete, small-scale features that are difficult to reveal. This work proposes a multiscale solver in OpenFOAM that achieves two-way conversion by capturing the large-scale interface using the Volume of Fluid (VOF) approach and tracing small-scale droplets using the Discrete Phase Model (DPM). By comparing the VOF–DPM solver with the standard VOF solver, the conservation of mass and momentum, as well as the accuracy of the new solver are verified. Considering that, in spraying processes, collisions mainly occur after the liquid jet breaks up into multiple droplets, we simplify the model to focus on the collision of droplets with walls at different speeds and contact angles, corresponding to different materials. The results indicate that, as the speed increases, splashing becomes more likely and the droplets spurt further. It is also found that an increase of contact angle will increase the mean diameter of the discrete droplets. Overall, this multiscale solver can accurately capture both large-scale interfaces and small-scale droplets, offering wide application prospects. Full article
(This article belongs to the Special Issue Advanced Numerical Approaches for Multiphase and Cavitating Flows)
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<p>Comparison between experimental and simulated free-surface features at 0.3 s, 0.6 s, and 0.85 s using different refinement levels: (<b>a</b>) experimental results [<a href="#B48-water-17-00394" class="html-bibr">48</a>], (<b>b</b>) without refinement, (<b>c</b>) level 1 refinement, (<b>d</b>) level 2 refinement.</p>
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<p>Comparison of pressure (Pa) evolution along with time (s) between experiment [<a href="#B48-water-17-00394" class="html-bibr">48</a>] and simulation.</p>
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<p>Computational domain and mesh setup (32 × 32 × 32).</p>
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<p>Comparison of free-surface and droplet features at 0.31 s, 0.32 s, 0.38 s, and 0.39 s (d is the droplet diameter) between VOF and VOF–DPM simulations: (<b>a</b>) VOF, (<b>b</b>) VOF–DPM.</p>
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<p>Transition progress from DPM to VOF at different times: (<b>a</b>) 0.55 s, (<b>b</b>) 0.56 s, (<b>c</b>) 0.63 s, (<b>d</b>) 0.64 s.</p>
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<p>Computational domain for simulation of droplet falling into water (31 × 31 × 31).</p>
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<p>The process of droplet falling into water simulated by: (<b>a</b>) VOF, (<b>b</b>) VOF–DPM.</p>
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<p>Comparison of vertical velocity distribution between VOF and VOF–DPM methods (Z = 0.05 m, <span class="html-italic">t</span> = 0.06 s).</p>
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<p>Comparison of vertical velocity (m/s) contours at the free surface: (<b>a</b>) VOF, (<b>b</b>) VOF–DPM.</p>
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<p>Vertical velocity calculated by the VOF and VOF–DPM methods along the intersection line between free surface and y = 0.045 m plane.</p>
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<p>Splashing morphology of droplets impacting the wall at different injecting speeds: (<b>a</b>) 1 m/s, (<b>b</b>) 2 m/s, (<b>c</b>) 5 m/s, (<b>d</b>) 8 m/s, (<b>e</b>) 10 m/s.</p>
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<p>Flow fields at different injecting speeds: (<b>a</b>) 1 m/s, (<b>b</b>) 5 m/s.</p>
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<p>Process of liquid separation and droplet formation with an injecting speed of 5 m/s.</p>
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<p>Splashing morphology at <span class="html-italic">t</span> = 20.6 ms with different contact angles: (<b>a</b>) 60°, (<b>b</b>) 90°, (<b>c</b>) 120°, (<b>d</b>) 150°.</p>
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<p>Evolution of mean droplet diameter (μm) along with contact angle.</p>
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<p>The maximum wall pressure (Pa) at different contact angles varies with time: (<b>a</b>) maximum wall pressure; (<b>b</b>) The selected part in previous figure.</p>
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18 pages, 427 KiB  
Article
The Impact of Estimated Depreciation of Infrastructure Assets on Sales Profitability
by Eva Vitkova, Jana Korytarova and Gabriela Kocourkova
Water 2025, 17(3), 393; https://doi.org/10.3390/w17030393 - 31 Jan 2025
Viewed by 372
Abstract
Acquired long-term tangible assets of water management companies generate depreciation costs during operation. The cost item naturally reduces the profit/loss and income tax deduction and, at the same time, creates financial space for the future restoration of this property, reinvestment by being able [...] Read more.
Acquired long-term tangible assets of water management companies generate depreciation costs during operation. The cost item naturally reduces the profit/loss and income tax deduction and, at the same time, creates financial space for the future restoration of this property, reinvestment by being able to include it in the unit price of water and/or sewerage charge rates if certain rules are met. On the basis of these legislative rules, it follows that property financed by subsidies cannot be depreciated in this way, i.e., cannot generate funds for future reinvestment. The contribution aims to present a methodical procedure for deciding on a strategy for the development of the profit/loss of enterprises when “predicted” (modeled) depreciation of fixed assets acquired from subsidies is included in the model, with a focus on the indicator of financial performance—profitability of sales. Basic methods and selected indicators from ratio indicator methods used in financial analysis were used in the methodical procedure. The methodological procedure, which was developed on the basis of a case study as part of a research report for a selected water management enterprise, was further implemented and verified on a sample of water management enterprises, which have almost a 50% share in the value of all assets in the form of infrastructure assets in the Czech Republic. The output of the article is the fact that when “predicted” (modeled) depreciation is included in the profit/loss, the profitability of sales decreases. The study shows that there is up to a 15% change in the profitability of sales. The contribution of the article is a proven methodological procedure that takes into account the generation of profit/loss with regard to the necessary reinvestment of assets acquired with subsidies. This strategy can generally be used by all companies that acquire assets from public subsidy sources. Full article
(This article belongs to the Section Water Resources Management, Policy and Governance)
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<p>Representation of the individual steps of the methodical procedure.</p>
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13 pages, 3205 KiB  
Article
The Effects of Single and Combined Exposure to Polystyrene Nanoplastics and Copper on the Behavior of Adult Zebrafish
by Jing Dai, Bei Song, Ruyi Sha, Zhenzhen Wang and Jianwei Mao
Water 2025, 17(3), 392; https://doi.org/10.3390/w17030392 - 31 Jan 2025
Viewed by 410
Abstract
Different pollutants often coexist in natural environments, making it crucial to monitor and study the ecotoxicological effects of composite pollutants in aquatic environments. Nanoplastics and heavy metals are emerging environmental pollutants that can affect the health of aquatic organisms and threaten human health [...] Read more.
Different pollutants often coexist in natural environments, making it crucial to monitor and study the ecotoxicological effects of composite pollutants in aquatic environments. Nanoplastics and heavy metals are emerging environmental pollutants that can affect the health of aquatic organisms and threaten human health via the food chain. In this study, zebrafish was employed as a model organism to explore the effects of short-term exposure to polystyrene nanoplastics (PS-NPs) and heavy metal copper ions (Cu2+) either individually or in combination on fish behavior. First, the single and combined toxicity of Cu2+ and PS-NPs to adult zebrafish was investigated to obtain the LC50 values of the two pollutants at 24, 48, 72, and 96 h. Then, the effects of sub-lethal concentrations of Cu2+ (0.06, 0.15, and 0.3 mg/L), PS-NPs (5, 10, and 15 mg/L) and binary mixtures containing Cu2+ and PS-NPs (0.06 mg/L + 10 mg/L, 0.15 mg/L + 10 mg/L, and 0.3 mg/L + 10 mg/L) on the swim speed and individual distance of zebrafish within 4 h were studied. The results show that the LC50 value for single exposure of zebrafish to Cu2+ decreased with the increase in the exposure time, while PS-NPs showed no significant acute toxicity to zebrafish when the concentration was less than 20 mg/L and the exposure time was less than 96 h. The combined exposure of zebrafish to Cu2+ and PS-NPs resulted in a 3.1–32.2% reduction in the LC50 value at different time points compared with Cu2+ alone. In the behavioral study, both single and combined exposure to Cu2+ and PS-NPs induced hyperactivity and aggregation phenomena in the zebrafish at different levels; the duration of these two phenomena was correlated with the concentration of the pollutants. The combined exposure to Cu2+ and PS-NPs exacerbated the behavioral changes in zebrafish compared with exposure to Cu2+ alone, reducing their hyperactivity time, average swim speed and aggregation time by 30.7–41.0%, 13.6–15.4%, and 28.3–28.8%, respectively. Therefore, this study indicates that the combined short-term exposure to PS-NPs and Cu2+ can exacerbate the toxicity of pollutants, and also proves the feasibility for early warning of combined NPs and heavy metals pollution based on adult zebrafish behavioral indicators. Full article
(This article belongs to the Section Water Quality and Contamination)
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<p>(<b>a</b>) Video recording device for fish locomotion tracking; (<b>b</b>) the user interface of idTracker when analyzing the movement of six fish in a fish tank.</p>
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<p>Acute toxicity of Cu<sup>2+</sup> and PS-NPs, alone or combined toward zebrafish at 24, 48, 72 and 96 h. Data are expressed as mean ± S.D. * represents significant differences between two groups.</p>
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<p>Swim speed of zebrafish during 240 min locomotion tracking before and after exposure to (<b>a</b>) 0.06 mg/L Cu<sup>2+</sup>; (<b>b</b>) 0.15 mg/L Cu<sup>2+</sup>; (<b>c</b>) 0.3 mg/L Cu<sup>2+</sup>.</p>
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<p>Swim speed of zebrafish during 240 min locomotion tracking before and after exposure to (<b>a</b>) 5 mg/L PS-NPs; (<b>b</b>) 10 mg/L PS-NPs; (<b>c</b>) 15 mg/L PS-NPs.</p>
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<p>Swim speed of zebrafish during 240 min locomotion tracking before and after exposure to the combination of (<b>a</b>) 0.06 mg/L Cu<sup>2+</sup> + 10 mg/L PS-NPs; (<b>b</b>) 0.15 mg/L Cu<sup>2+</sup> + 10 mg/L PS-NPs; (<b>c</b>) 0.3 mg/L Cu<sup>2+</sup> + 10 mg/L PS-NPs.</p>
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<p>Comparison of (<b>a</b>) hyperactivity time and (<b>b</b>) changes in average swim speed of zebrafish in different exposure groups. Data are expressed as mean ± S.D. * represents significant differences between two groups.</p>
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<p>Individual distance of zebrafish during 240 min locomotion tracking before and after exposure to (<b>a</b>) 0.06 mg/L Cu<sup>2+</sup>; (<b>b</b>) 0.15 mg/L Cu<sup>2+</sup>; (<b>c</b>) 0.3 mg/L Cu<sup>2+</sup>.</p>
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<p>Individual distance of zebrafish during 240 min locomotion tracking before and after exposure to (<b>a</b>) 5 mg/L PS-NPs; (<b>b</b>) 10 mg/L PS-NPs; (<b>c</b>) 15 mg/L PS-NPs.</p>
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<p>Individual distance of zebrafish during 240 min locomotion tracking before and after exposure to the combination of (<b>a</b>) 0.06 mg/L Cu<sup>2+</sup> + 10 mg/L PS-NPs; (<b>b</b>) 0.15 mg/L Cu<sup>2+</sup> + 10 mg/L PS-NPs; (<b>c</b>) 0.3 mg/L Cu<sup>2+</sup> + 10 mg/L PS-NPs.</p>
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<p>Comparison of aggregation duration of zebrafish in different exposure groups. Data are expressed as mean ± S.D. * represents significant differences between two groups.</p>
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28 pages, 4009 KiB  
Article
A Multi-Method Approach to Analyzing Precipitation Series and Their Change Points in Semi-Arid Climates: The Case of Dobrogea
by Youssef Saliba and Alina Bărbulescu
Water 2025, 17(3), 391; https://doi.org/10.3390/w17030391 - 31 Jan 2025
Viewed by 263
Abstract
The Dobrogea region, located in southeastern Romania, experiences a semi-arid climate. This study provides a deep analysis of monthly precipitation series from 46 meteorological stations spanning 1965–2005, exploring mean and variance characteristics and detecting structural changes in precipitation patterns. The series normality was [...] Read more.
The Dobrogea region, located in southeastern Romania, experiences a semi-arid climate. This study provides a deep analysis of monthly precipitation series from 46 meteorological stations spanning 1965–2005, exploring mean and variance characteristics and detecting structural changes in precipitation patterns. The series normality was assessed using the Lilliefors test, and transformation, such as the Yeo–Johnson method, was used to address skewness. Analyses of mean and variance included parametric (t-tests, ANOVA) and non-parametric (Mann–Whitney U, Fligner–Killeen) tests to address the homogeneity/inhomogeneity of the data series in mean and variance. Change points were detected using a Minimum Description Length (MDL) framework, modeling the series as piecewise linear regressions with seasonal effects and autocorrelated errors. Pairwise comparisons indicate the low similarity of the series means, and variances, so spatial and temporal variability in precipitation is notable. Validation of the proposed MDL approach on synthetic datasets demonstrated high accuracy, and application to real data identified significant shifts in precipitation regimes. Applied to the monthly series collected at the ten main hydro-meteorological stations, a MDL framework provided at least two change points for each. Full article
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