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25 pages, 6933 KiB  
Article
Assessment of Groundwater (Main Usable Aquifer) Vulnerability to Seawater Intrusion in the Polish Baltic Coastal Region
by Bogumiła Winid and Michał Maruta
Water 2025, 17(3), 336; https://doi.org/10.3390/w17030336 (registering DOI) - 24 Jan 2025
Viewed by 503
Abstract
The inflow of saline water reduces water quality and limits its use as drinking water. The risk of seawater intrusion into groundwater along the Polish coastline was assessed using two methods. The vulnerability method (GALDIT) considered six aquifer parameters. The second method focused [...] Read more.
The inflow of saline water reduces water quality and limits its use as drinking water. The risk of seawater intrusion into groundwater along the Polish coastline was assessed using two methods. The vulnerability method (GALDIT) considered six aquifer parameters. The second method focused exclusively on the chemical parameters of groundwater: EC, seawater mixing index (SMI), rHCO₃/rCl, rNa/rCl, and the concentrations of Cl and Br. The analysis focused on monitoring results collected from points located within 5 km of the Baltic Sea coastline. Both risk assessment methods used a division into three risk classes (low, moderate, and high), but the results differed between the two approaches. A comparison of the results from both classification methods was conducted, followed by a comprehensive risk assessment integrating the outcomes of both approaches. No straightforward relationship was observed between individual threat assessment parameters and distance from the sea. However, when the overall assessment, incorporating multiple parameters, was considered, such a relationship emerged. The classes of seawater intrusion risk differ in terms of the medians and ranges of individual parameters. Ratios such as rHCO3/rCl, rCa/rMg, and Cl/Br play a significant role in risk assessment, whereas the rNa/rCl ratio has a relatively smaller impact. Seawater intrusion risk should be assessed based on multiple parameters. The highest risk of seawater intrusion occurs within approximately 800 m of the coastline. Full article
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<p>The main usable aquifers in the area of the Polish part of the Baltic coast according to [<a href="#B48-water-17-00336" class="html-bibr">48</a>], modified and simplified.</p>
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<p>Piper diagram of groundwater from monitoring points.</p>
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<p>Seawater mixing index in groundwater: (<b>a</b>) versus electrical conductivity; (<b>b</b>) versus distance from the sea.</p>
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<p>rHCO<sub>3</sub>/rCl in groundwater: (<b>a</b>) versus EC; (<b>b</b>) versus SMI; (<b>c</b>) versus distance from the sea.</p>
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<p>rCa/rMg versus distance from the sea.</p>
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<p>rNa/rCl ratio versus distance from the sea.</p>
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<p>The Cl/Br ratio: (<b>a</b>) versus Cl<sup>−</sup>; (<b>b</b>) versus distance from the sea.</p>
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<p>Classes of risk base on chemical parameters: (<b>a</b>) depth of aquifers versus distance from the sea; (<b>b</b>) Cl<sup>−</sup> versus distance from the sea.</p>
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<p>Assessment of compliance between two methods (GALDIT and chemical) for monitoring points.</p>
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<p>The results of both classifications (five risk classes): (<b>a</b>) SMI versus distance from the sea; (<b>b</b>) depth of the aquifer versus EC.</p>
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<p>Box plot of data from groundwater monitoring points for five risk classes: (<b>a</b>) (Cl<sup>−</sup>), (<b>b</b>) (Mg<sup>2+</sup>), (<b>c</b>) EC, (<b>d</b>) rNa/rCl, (<b>e</b>) rHCO<sup>3</sup>/rCl, (<b>f</b>) rCa/rMg), (<b>g</b>) Distance from the sea, (<b>h</b>) SMI, (<b>i</b>) B.</p>
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<p>Box plot of data from groundwater monitoring points for five risk classes: (<b>a</b>) (Cl<sup>−</sup>), (<b>b</b>) (Mg<sup>2+</sup>), (<b>c</b>) EC, (<b>d</b>) rNa/rCl, (<b>e</b>) rHCO<sup>3</sup>/rCl, (<b>f</b>) rCa/rMg), (<b>g</b>) Distance from the sea, (<b>h</b>) SMI, (<b>i</b>) B.</p>
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<p>Assessment of the risk of seawater intrusion in monitoring points based on five risk classes.</p>
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22 pages, 14332 KiB  
Article
Causes of Changes in Mineralization of Underground Drinking Water in the Shaim Oil and Gas Region of the West Siberian Megabasin
by Yulia Rusakova, Andrey Plavnik, Rimma Abdrashitova, Yulia Salnikova, Xiaopu Wang, Mikhail Poluyanov and Albert Zaliatdinov
Earth 2025, 6(1), 5; https://doi.org/10.3390/earth6010005 - 24 Jan 2025
Viewed by 294
Abstract
Mineralization of groundwater for drinking purposes is a complex parameter of groundwater chemical composition. In the Shaim oil- and gas-bearing area, as in the whole West Siberian megabasin, the main target horizon for solving the issues of domestic and technical water supply is [...] Read more.
Mineralization of groundwater for drinking purposes is a complex parameter of groundwater chemical composition. In the Shaim oil- and gas-bearing area, as in the whole West Siberian megabasin, the main target horizon for solving the issues of domestic and technical water supply is the Oligocene aquifer. It has significant groundwater reserves to cover the needs of the population and production requirements. However, it also faces a huge anthropogenic load in the form of water withdrawal and possible contamination from the surface with oil products. In Western Siberia, various deviations in the chemical composition of groundwater of the Oligocene horizon are recorded in connection with significant water withdrawal; for example, a sharp increase in chromaticity or total iron concentration, with changes in mineralization acting as a factor necessarily accompanying these deviations. Based on the data obtained in the course of monitoring for the period from 2013 to 2023, the main factors and trends of changes in the components of mineralization of the Oligocene horizon were determined. The lithological and mineralogical peculiarities of the water-bearing rocks of the horizon, the paleogeographic conditions of its formation and their relation to trends in mineralization change were studied. Water withdrawal data were processed for two cluster water withdrawal sites (50 and 5 wells, respectively). Analysis of the results showed that the increase in water withdrawal leads to an increase in infiltration from the overlying Neogene-Quaternary aquifer, which leads to the dilution of groundwater of the Oligocene horizon and a decrease in its mineralization. Here, we show that, during further monitoring, it is necessary to pay attention to the appearance of sites where significant amounts of chloride ions are fixed in the anion composition, which can potentially lead to a sharp deterioration in the quality of drinking groundwater. Full article
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<p>Overview map of the study area: 1—West Siberian megabasin; 2—Middle Ob hydrogeological basin; 3—study area; 4—Shaim oil and gas bearing area; 5—water intake site; 6—hydrocarbon field; 7—technogenic influence observation site; 8—hydrogeological section line; 9—groundwater table, absolute height; 10—main directions of groundwater movement.</p>
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<p>Schematic hydrogeological section of the area: 1—water-bearing Neogene-Quaternary horizon (the section is based on rock descriptions from water well drilling and geophysical logging data from oil wells); 2—water-bearing, locally weak water-bearing Turtassky horizon; 3—water-bearing Kurtamysh (Oligocene) horizon; 4—water-bearing Tavda horizon; 5—sands; 6—loams; 7—clayey sands; 8—interlayering of sands, clays, siltstones; 9—dense clays.</p>
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<p>Dependence of groundwater salinity on the depth of the sampled interval.</p>
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<p>Map of changes in groundwater mineralization of the Oligocene horizon. The blue lines indicate the river network of the study area.</p>
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<p>Schematic maps: (<b>a</b>) relative content of feldspars in the material composition of sands of the Kurtamysh and Atlym Formations; (<b>b</b>) silicon content in groundwater of the Oligocene aquifer, mg/dm<sup>3</sup>; (<b>c</b>) total iron content in groundwater of the Oligocene aquifer, mg/dm<sup>3</sup>.</p>
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<p>Distribution of main components of groundwater ion-salt composition: (<b>a</b>) anions; (<b>b</b>) cations. 1—Cl<sup>−</sup>; 2—HCO<sub>3</sub><sup>−</sup>; 3—SO<sub>4</sub><sup>2−</sup>; 4—Na<sup>+</sup> + K<sup>+</sup>; 5—Ca<sup>2+</sup>; 6—Mg<sup>2+</sup>.</p>
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<p>The character of “mineralization-water withdrawal” dependence: (<b>a</b>) at research area 1; (<b>b</b>) at research area 2.</p>
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<p>Changes in the anion–cation ratio as a function of water withdrawal: (<b>a</b>,<b>b</b>) at the first site; (<b>c</b>,<b>d</b>) at the second site. 1—Cl<sup>−</sup>, 2—HCO<sub>3</sub><sup>−</sup>, 3—SO<sub>4</sub><sup>2−</sup>, 4—Na<sup>+</sup> + K<sup>+</sup>, 5—Ca<sup>2+</sup>, 6—Mg<sup>2+</sup>, 7—water withdrawal, m<sup>3</sup>/day.</p>
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<p>The character of “rNa<sup>+</sup>/rCl<sup>−</sup>—water withdrawal” dependence: (<b>a</b>) on the first site; (<b>b</b>,<b>c</b>) on the second site.</p>
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<p>Averaged geological and technical column of the study area.</p>
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<p>Hydrogeochemical maps of the Oligocene aquifer by state: 1—hydrogeochemical water type assessment area; 2—hydrocarbonate water type; 3—anion-mixed water type; 4—calcium- and magnesium-dominated waters in cation composition; 5—sodium-dominated waters in cation composition; 6—cation-mixed water type.</p>
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<p>Paleogeographic map of the formation of the underlying sediments of the Oligocene aquifer complex [<a href="#B55-earth-06-00005" class="html-bibr">55</a>].</p>
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15 pages, 1813 KiB  
Article
Toward an Integrative Overview of Stygobiotic Crustaceans for Aquifer Delimitation in the Yucatan Peninsula, Mexico
by Sarahi Jaime, Adrián Cervantes-Martínez, Martha A. Gutiérrez-Aguirre, Gerardo Hernández-Flores, Roger A. González-Herrera, Gabriel Sánchez-Rivera, Fernando Enseñat-Soberanis and Víctor H. Delgado-Blas
Diversity 2025, 17(2), 77; https://doi.org/10.3390/d17020077 - 22 Jan 2025
Viewed by 545
Abstract
The Yucatan Peninsula (YP) presents heterogeneous environments in a karstic landscape that has been formed from permeable sedimentary rocks dating from the Cretaceous period. Its aquifers now face significant pressure from tourism, agriculture, soil use changes and population growth. Aquifer delimitation typically relies [...] Read more.
The Yucatan Peninsula (YP) presents heterogeneous environments in a karstic landscape that has been formed from permeable sedimentary rocks dating from the Cretaceous period. Its aquifers now face significant pressure from tourism, agriculture, soil use changes and population growth. Aquifer delimitation typically relies on environmental and socioeconomic criteria, overlooking the subterranean fauna. Stygobiotic crustaceans are highly diverse in the YP’s subterranean karstic systems, expressing adaptations to extreme environments while often also displaying the primitive morphology of evolutionary relics. With distributions restricted to specific environments, they are potential markers of water reserves. A literature review recovered records of 75 species of crustaceans from 132 subterranean systems in the YP, together with geomorphological, hydrological, hydrogeochemical and historical precipitation data. Fourteen UPGMA clusters were informative for mapping species composition, whereby the “Ring of Cenotes”, “Caribbean Cave” and “Cozumel Island” regions were delineated as consolidated aquifers. These aquifers are distinguished by abiotic factors as well: freshwater species dominate the Ring of Cenotes, while marine-affinity species characterize the Caribbean Cave and Cozumel Island aquifers. Stygobiotic crustaceans, being linked to geologically ancient water reserves and having a restricted distribution, offer a complementary tool for aquifer delimitation. Their presence suggests long-term and stable water availability. The use of these unique organisms for integrative aquifer delimitation can provide a way to improve the monitoring networks of regional aquifers. Full article
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Graphical abstract

Graphical abstract
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<p>Study area showing the aquifers delimited by CONAGUA and the political divisions of the Yucatan Peninsula, composed of the states of Yucatan, Campeche and Quintana Roo.</p>
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<p>UPGMA clusters inferred with the Dice-Sørensen coefficient for 132 subterranean aquatic systems and 75 stygobiotic crustacean species from the Yucatan Peninsula. Similarity scales represent the similarity between groups, range from 0.0 (no similarity) to 1.0 (complete similarity). Groups were discriminated using the SIMPROF test. G = Group.</p>
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<p>Species composition according to UPGMA cluster analysis using the Dice-Sørensen coefficient. The geomorphological representation is modified from Bautista (2023) [<a href="#B15-diversity-17-00077" class="html-bibr">15</a>], and the aquifer delimitation is based on CONAGUA (2021) [<a href="#B13-diversity-17-00077" class="html-bibr">13</a>].</p>
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<p>Catalogued subterranean aquatic systems where stygobiotic crustaceans have been recorded in the Yucatan Peninsula. Annual precipitation (mean from 1902–2011) data were modified from Ríos-Ponce et al. (2020) [<a href="#B18-diversity-17-00077" class="html-bibr">18</a>].</p>
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18 pages, 6692 KiB  
Protocol
Study Protocol of Predictive Dynamics of Microbiological Contamination of Groundwater in the Earth Critical Zone and Impact on Human Health (DY.MI.CR.ON Project)
by Marco Verani, Osvalda De Giglio, Maria Clementina Caputo, Giorgio Cassiani, Mirco Milani, Annalaura Carducci, Ileana Federigi, Alessandra Pagani, Alessandra Angori, Francesco Triggiano, Antonella Francesca Savino, Debora Colella, Francesco Bagordo, Maria Antonella De Donno, Tiziana Grassi, Silvia Brigida, Lorenzo De Carlo, Antonietta Celeste Turturro, Mert Çetin Ekiz, Valentina Prigiobbe, Alessandro Ghirotto, Alessandro D’Emilio, Simona Consoli, Salvatore Barresi, Federica Bivona and Maria Teresa Montagnaadd Show full author list remove Hide full author list
Water 2025, 17(3), 294; https://doi.org/10.3390/w17030294 - 22 Jan 2025
Viewed by 424
Abstract
Groundwater is one of the major sources of water supply for human needs. But anthropic activities such as agriculture are causing significant volume depletion and quality deterioration, favoring microbial contamination that has a negative impact on human health. The geological characteristics of the [...] Read more.
Groundwater is one of the major sources of water supply for human needs. But anthropic activities such as agriculture are causing significant volume depletion and quality deterioration, favoring microbial contamination that has a negative impact on human health. The geological characteristics of the ground can influence the transport of microorganisms, especially if made of permeable rock. Furthermore, irrigation with untreated or partially treated wastewater can represent an additional health risk due to the potential transmission of pathogens to food. The aim of our research is to provide an interdisciplinary perspective on this issue by integrating hygienic, geological, and agronomic skills. Water samplings are scheduled seasonally by four monitoring campaigns in five sampling points placed in two Southern Italy regions, Apulia (one point at the outlet and two wells near the wastewater plant at Carpignano Salentino, Lecce province, Italy) and Sicily (two wells at Scicli and Pozzallo, Ragusa province, Italy) Laboratory experiments of microorganism transport in permeable rocks will be carried out under saturated and unsaturated conditions. A mathematical model of transport through porous media will be implemented and validated with laboratory measurements. The model will be used to develop a monitoring tool to control sites in Apulia and Sicily where periodic cultural and molecular detection of pathogenic bacteria, viruses, and protozoa will also be taken. In addition, an analysis of the microbiological contamination of herbaceous crops due to the use of low-quality water will be conducted to assess the Quantitative Microbial Risk Assessment (QMRA). The project will provide methodological tools to evaluate anthropogenic pressures and their impact on environmental matrices. The results will allow these pressures to be modulated to minimize environmental and agri-food microbiological contamination and protect public health. Full article
(This article belongs to the Special Issue Recent Advances in Karstic Hydrogeology, 2nd Edition)
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<p>Schematic representation of microbial contaminant transport into the subsoil.</p>
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<p>Diagram of Work Packages (WPs) in DY.MI.CR.ON Project (September 2023–September 2025).</p>
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<p>Apulian study case (Carpignano Salentino, Lecce province, Italy): wastewater treatment plant and its infiltration ponds.</p>
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<p>Geological map with the main outcropping formations and stratigraphy of the study area in Carpignano Salentino, Lecce province, Italy.</p>
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<p>Sicilian case study: hydrological catchments and monitoring of well network in Ragusa area, Sicily, Italy.</p>
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<p>Conceptual flowchart of the reactive transport model in porous media for pathogens and solutes developed in this work.</p>
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38 pages, 3394 KiB  
Review
A Compact Review of Current Technologies for Carbon Capture as Well as Storing and Utilizing the Captured CO2
by Tim M. Thiedemann and Michael Wark
Processes 2025, 13(1), 283; https://doi.org/10.3390/pr13010283 - 20 Jan 2025
Viewed by 770
Abstract
With the consequences of climate change becoming more urgent, there has never been a more pressing need for technologies that can help to reduce the carbon dioxide (CO2) emissions of the most polluting sectors, such as power generation, steel, cement, and [...] Read more.
With the consequences of climate change becoming more urgent, there has never been a more pressing need for technologies that can help to reduce the carbon dioxide (CO2) emissions of the most polluting sectors, such as power generation, steel, cement, and the chemical industry. This review summarizes the state-of-the-art technologies for carbon capture, for instance, post-combustion, pre-combustion, oxy-fuel combustion, chemical looping, and direct air capture. Moreover, already established carbon capture technologies, such as absorption, adsorption, and membrane-based separation, and emerging technologies like calcium looping or cryogenic separation are presented. Beyond carbon capture technologies, this review also discusses how captured CO2 can be securely stored (CCS) physically in deep saline aquifers or depleted gas and oil reservoirs, stored chemically via mineralization, or used in enhanced oil recovery. The concept of utilizing the captured CO2 (CCU) for producing value-added products, including formic acid, methanol, urea, or methane, towards a circular carbon economy will also be shortly discussed. Real-life applications, e.g., already pilot-scale continuous methane (CH4) production from flue gas CO2, are shown. Actual deployment of the most crucial technologies for the future will be explored in real-life applications. This review aims to provide a compact view of the most crucial technologies that should be considered when choosing to capture, store, or convert CO2, informing future researchers with efforts aimed at mitigating CO2 emissions and tackling the climate crisis. Full article
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<p>Simplified scheme for the post-combustion route for carbon capture (based on [<a href="#B17-processes-13-00283" class="html-bibr">17</a>]).</p>
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<p>Simplified flowsheet of CO<sub>2</sub> absorption via fluid absorbents (based on [<a href="#B19-processes-13-00283" class="html-bibr">19</a>]).</p>
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<p>Simplified flowsheet of CO<sub>2</sub> capture via calcium looping (based on [<a href="#B84-processes-13-00283" class="html-bibr">84</a>]).</p>
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<p>Simplified flowsheet of CO<sub>2</sub> absorption via membrane separation using a hollow fiber membrane: (<b>a</b>) flue gas stream inside the lumen side, (<b>b</b>) fluid absorbent inside the lumen side, and (<b>c</b>) transverse flow of flue gas stream (based on [<a href="#B102-processes-13-00283" class="html-bibr">102</a>]).</p>
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<p>Techniques for cryogenic CO<sub>2</sub> capture in the conventional and unconventional pathways (based on [<a href="#B102-processes-13-00283" class="html-bibr">102</a>]).</p>
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<p>Simplified flowsheet of the pre-combustion route (based on [<a href="#B17-processes-13-00283" class="html-bibr">17</a>]).</p>
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<p>Simplified flowsheet of an integrated gasification combined cycle (based on [<a href="#B149-processes-13-00283" class="html-bibr">149</a>]).</p>
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<p>Simplified flowsheet of the oxy-fuel combustion route (based on [<a href="#B19-processes-13-00283" class="html-bibr">19</a>]).</p>
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<p>Simplified flowsheet of chemical looping combustion route (based on [<a href="#B170-processes-13-00283" class="html-bibr">170</a>,<a href="#B171-processes-13-00283" class="html-bibr">171</a>]).</p>
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<p>Simplified flowsheet of direct air capture.</p>
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<p>Simplified possibilities for carbon storage solutions: (1) depleted oil/gas fields, (2) enhanced oil recovery, (3) coal beds, (4) deep saline aquifers, and (5) carbonate materials (based on [<a href="#B205-processes-13-00283" class="html-bibr">205</a>]).</p>
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<p>Concave-down geometry of a deep saline aquifer with cap rock sealing (based on [<a href="#B211-processes-13-00283" class="html-bibr">211</a>]).</p>
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12 pages, 2781 KiB  
Article
Quantile-Based Approach for Improving the Identification of Preferential Groundwater Networks
by Massimiliano Schiavo
Water 2025, 17(2), 282; https://doi.org/10.3390/w17020282 - 20 Jan 2025
Viewed by 341
Abstract
Identifying preferential paths for groundwater flow is one of the basics for understanding aquifer systems. Shallow free-surface aquifers often have flow directions (locally) similar to those of their surface counterparts, especially if surface and groundwater bodies are directly connected. This work proposes a [...] Read more.
Identifying preferential paths for groundwater flow is one of the basics for understanding aquifer systems. Shallow free-surface aquifers often have flow directions (locally) similar to those of their surface counterparts, especially if surface and groundwater bodies are directly connected. This work proposes a novel and simple framework to improve the identification of Preferential Groundwater Networks in free-surface aquifers. This is possible by proposing a quantile mapping procedure borrowed from stochastic hydrology, usually employed to adjust rainfall simulations (for example, achieved via climate models) upon available gauge-based data. This well-known procedure is applied to redistribute simulations of the aquifer bottom elevation for a real case study in Lombardy, Northern Italy. The result is a spatial redistribution of the elevation quantiles that leads to aquifer bottom surfaces carved with Preferential Groundwater Networks that are spatially consistent with the surface river network. This way, groundwater flow directions are redistributed to mimic their surface counterparts, but aquifer bottom elevations and slopes are far gentler as they were previously simulated from borehole data information. Furthermore, the errors in the spatial reframing of borehole data and the discrepancy of variogram structures before and after the redistribution procedure are not dramatically dissimilar. Full article
(This article belongs to the Section Hydrogeology)
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<p>Sketch of the area of the study area (<b>a</b>), with borehole and geological data (<b>b</b>), and an available hydrogeological Section (<b>c</b>).</p>
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<p>Sketch of the redistribution procedure. A non-exceedance probability value embeds each pixel, evaluated on the observation’s CDF, i.e., the DEM’s one (<b>a</b>), or on a simulation’s CDF, i.e., one exemplary MC realization of the aquifer bottom, as in (<b>b</b>–<b>d</b>). The red arrows indicate the each redistribution step operated in the related panel.</p>
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<p>MC realizations of aquifer bottom elevations before (<b>a</b>–<b>d</b>) and after (<b>e</b>–<b>h</b>) the quantile-based redistribution procedure. Red arrows indicate the direction in which the redistribution of elevation has been made.</p>
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<p>Probabilistic delineation of PGNs after the redistribution procedure illustrated several thresholds within the probability space in pixel units: thr = 2 (<b>a</b>), thr = 20 (<b>b</b>), thr = 50 (<b>c</b>), and thr = 100 (<b>d</b>).</p>
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<p>Scatterplot of aquifer bottom elevations (<b>a</b>) and the percentage error (<b>b</b>) between values before and after the redistribution procedure.</p>
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<p>Experimental variograms for original (magenta symbols) and redistributed borehole elevations (green symbols). Model variograms are offered as bounded variograms (in colors), as in [<a href="#B31-water-17-00282" class="html-bibr">31</a>].</p>
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26 pages, 14152 KiB  
Article
Evaluation of Water Inrush Risk in the Fault Zone of the Coal Seam Floor in Madaotou Coal Mine, Shanxi Province, China
by Shuai Yu, Hanghang Ding, Moyuan Yang and Menglin Zhang
Water 2025, 17(2), 259; https://doi.org/10.3390/w17020259 - 17 Jan 2025
Viewed by 356
Abstract
As coal seams are mined at greater depths, the threat of high water pressure from the confined aquifer in the floor that mining operations face has become increasingly prominent. Taking the Madaotou mine field in the Datong Coalfield as the research object, in [...] Read more.
As coal seams are mined at greater depths, the threat of high water pressure from the confined aquifer in the floor that mining operations face has become increasingly prominent. Taking the Madaotou mine field in the Datong Coalfield as the research object, in the context of mining under pressure, for the main coal seams in the mining area, first of all, an improved evaluation method for the vulnerability of floor water inrush is adopted for hazard prediction. Secondly, numerical simulation is used to conduct a simulation analysis on the fault zones in high-risk areas. By using the fuzzy C-means clustering method (FCCM) to improve the classification method for the normalized indicators in the original variable-weight vulnerability evaluation, the risk zoning for water inrush from the coal seam floor is determined. Then, through the numerical simulation method, a simulation analysis is carried out on high-risk areas to simulate the disturbance changes of different mining methods on the fault zones so as to put forward reasonable mining methods. The results show that the classification of the variable-weight intervals of water inrush from the coal seam floor is more suitable to be classified by using fuzzy clustering, thus improving the prediction accuracy. Based on the time effect of the delayed water inrush of faults, different mining methods determine the duration of the disturbance on the fault zones. Therefore, by reducing the disturbance time on the fault zones, the risk of karst water inrush from the floor of the fault zones can be reduced. Through prediction evaluation and simulation analysis, the evaluation of the risk of water inrush in coal mines has been greatly improved, which is of great significance for ensuring the safe and efficient mining of mines. Full article
(This article belongs to the Special Issue Engineering Hydrogeology Research Related to Mining Activities)
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<p>The runoff directions from west to east.</p>
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<p>Flowchart of the methodology used in this study.</p>
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<p>State–variable-weight vector diagram ([<a href="#B36-water-17-00259" class="html-bibr">36</a>]).</p>
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<p>Geological conceptual model of the study area.</p>
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<p>Numerical model of fluid–structure interaction.</p>
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<p>Fuzzy C-mean variable-weight evaluation division of the No. 3–5 coal seam floor.</p>
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<p>Risk assessment zone of the water inrush coefficient of No. 3–5 coal.</p>
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<p>Model initial equilibrium state.</p>
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<p>Development law of the plastic zone at different advancing distances in the working face. (<b>a</b>) Advance 20 m. (<b>b</b>) Advance 40 m. (<b>c</b>) Advance 80 m. (<b>d</b>) Advance 120 m. (<b>e</b>) Advance 160 m. (<b>f</b>) Advance 200 m. (<b>g</b>) Advance 240 m. (<b>h</b>) Advance 280 m.</p>
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<p>Distribution law of stress field at different advancing distances in working face. (<b>a</b>) Advance 20 m. (<b>b</b>) Advance 40 m. (<b>c</b>) Advance 80 m. (<b>d</b>) Advance 120 m. (<b>e</b>) Advance 160 m. (<b>f</b>) Advance 200 m. (<b>g</b>) Advance 240 m. (<b>h</b>) Advance 280 m.</p>
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<p>Variation law of the seepage field at different advancing distances in the working face. (<b>a</b>) Advance 20 m. (<b>b</b>) Advance 40 m. (<b>c</b>) Advance 80 m. (<b>d</b>) Advance 120 m. (<b>e</b>) Advance 160 m. (<b>f</b>) Advance 200 m. (<b>g</b>) Advance 240 m. (<b>h</b>) Advance 280 m.</p>
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<p>Local seepage diagram of the fault zone during forward mining.</p>
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<p>Development law of the plastic zone at different advancing distances in the working face. (<b>a</b>) Advance 20 m. (<b>b</b>) Advance 40 m. (<b>c</b>) Advance 80 m. (<b>d</b>) Advance 120 m. (<b>e</b>) Advance 160 m. (<b>f</b>) Advance 200 m. (<b>g</b>) Advance 240 m. (<b>h</b>) Advance 280 m.</p>
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<p>Distribution law of the stress field at different advancing distances in the working face. (<b>a</b>) Advance 20 m. (<b>b</b>) Advance 40 m. (<b>c</b>) Advance 80 m. (<b>d</b>) Advance 120 m. (<b>e</b>) Advance 160 m. (<b>f</b>) Advance 200 m. (<b>g</b>) Advance 240 m. (<b>h</b>) Advance 280 m.</p>
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<p>Variation law of the seepage field at different advancing distances in the working face. (<b>a</b>) Advance 20 m. (<b>b</b>) Advance 40 m. (<b>c</b>) Advance 80 m. (<b>d</b>) Advance 120 m. (<b>e</b>) Advance 160 m. (<b>f</b>) Advance 200 m. (<b>g</b>) Advance 240 m. (<b>h</b>) Advance 280 m.</p>
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<p>Local seepage diagram of the fault zone during retreat mining.</p>
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18 pages, 5348 KiB  
Article
Analysis of Recharge Efficiency Under Barrier Effects Incurred by Adjacent Underground Structures
by Kelang Yang, Changjie Xu, Chaofeng Zeng, Long Zhu, Xiuli Xue and Lei Han
Water 2025, 17(2), 257; https://doi.org/10.3390/w17020257 - 17 Jan 2025
Viewed by 383
Abstract
Foundation pit dewatering will impact the surrounding underground environment. To mitigate the adverse effects on adjacent underground structures, groundwater recharge is commonly utilized to control groundwater drawdown outside the pit. However, under a barrier effect of underground structures, the recharge effect may be [...] Read more.
Foundation pit dewatering will impact the surrounding underground environment. To mitigate the adverse effects on adjacent underground structures, groundwater recharge is commonly utilized to control groundwater drawdown outside the pit. However, under a barrier effect of underground structures, the recharge effect may be different from that without the barrier effect. Meanwhile, the results of recharging different aquifers may also be different under the barrier effect. Therefore, based on an actual foundation pit project, this paper establishes a three-dimensional finite element model to investigate the impact of recharge on the surrounding environment under the barrier effect. To be specific, the recharge simulations were conducted in aquifers at different depths, and the effects on groundwater, enclosure wall deflection, and ground settlement under each recharge condition were compared and discussed. Furthermore, the optimal recharge scheme under the barrier effect was proposed. The results show the following: (1) When recharge is conducted in an aquifer that is completely cut off by underground structures, both groundwater levels rise and enclosure deflection induced by recharge are dramatic; therefore, caution should be taken when recharging under this condition to avoid an excessive response of recharge on the surrounding environment. (2) When recharge is conducted in an aquifer that is not cut off, most of the recharged water flows far away from the foundation pit, resulting in a low recharge efficiency. (3) When recharge is conducted in an aquifer with a direct hydraulic connection between the inside and outside of the foundation pit, it can significantly raise the groundwater levels of each aquifer, and effectively control the ground settlement without obviously increasing the deflection of the enclosure; engineers could benefit from this recharge scheme to achieve a better recharge effect under the barrier effect. Full article
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<p>Diagram of foundation pit and strata (adapted from reference [<a href="#B13-water-17-00257" class="html-bibr">13</a>]). (<b>a</b>) Symmetric plane of foundation pit. (<b>b</b>) Typical positional relation between pit and strata.</p>
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<p>A finite element model.</p>
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<p>Dewatering simulation method of the second confined aquifer.</p>
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<p>Comparison of measured and calculated (<b>a</b>) groundwater drawdown, (<b>b</b>) ground surface settlement, and (<b>c</b>) enclosure wall deflection (adapted from reference [<a href="#B48-water-17-00257" class="html-bibr">48</a>]).</p>
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<p>Comparison of measured and calculated (<b>a</b>) groundwater drawdown, (<b>b</b>) ground surface settlement, and (<b>c</b>) enclosure wall deflection (adapted from reference [<a href="#B48-water-17-00257" class="html-bibr">48</a>]).</p>
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<p>The groundwater drawdown of different aquifers outside the pit.</p>
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<p>The <span class="html-italic">E<sub>w</sub></span> of different aquifers during the recharge of AqI, AqI and AqIII.</p>
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<p>Distributions of enclosure wall deflection along depth.</p>
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<p>The value of η along the enclosure wall.</p>
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<p>Distribution of ground settlement outside the pit.</p>
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<p>The <span class="html-italic">E<sub>g</sub></span> of recharging different aquifers.</p>
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26 pages, 9807 KiB  
Article
Critical Geochemical and Microbial Reactions in Underground Hydrogen Storage: Quantifying Hydrogen Loss and Evaluating CO2 as Cushion Gas
by Rana Al Homoud, Marcos Vitor Barbosa Machado, Hugh Daigle and Harun Ates
Hydrogen 2025, 6(1), 4; https://doi.org/10.3390/hydrogen6010004 - 17 Jan 2025
Viewed by 715
Abstract
Hydrogen is a pivotal energy carrier for achieving sustainability and stability, but safe and efficient geological underground hydrogen storage (UHS) is critical for its large-scale application. This study investigates the impacts of geochemical and biochemical reactions on UHS, addressing challenges that threaten storage [...] Read more.
Hydrogen is a pivotal energy carrier for achieving sustainability and stability, but safe and efficient geological underground hydrogen storage (UHS) is critical for its large-scale application. This study investigates the impacts of geochemical and biochemical reactions on UHS, addressing challenges that threaten storage efficiency and safety. Geochemical reactions in saline aquifers, particularly the generation of hydrogen sulfide (H2S), were analyzed using advanced compositional and geochemical modeling calibrated with experimental kinetic data. The results indicate that geochemical reactions have a minimal effect on hydrogen consumption. However, by year 10 of storage operations, H2S levels could reach 12–13 ppm, necessitating desulfurization to maintain storage performance and safety. The study also examines the methanogenesis reaction, where microorganisms consume hydrogen and carbon dioxide to produce methane. Numerical simulations reveal that microbial activity under suitable conditions can reduce in situ hydrogen volume by up to 50%, presenting a critical hurdle to UHS feasibility. These findings highlight the necessity of conducting microbial analyses of reservoir brines during the screening phase to mitigate hydrogen losses. The novelty of this work lies in its comprehensive field-scale analysis of impurity-induced geochemical and microbial reactions and their implications for underground hydrogen storage. By integrating kinetic parameters derived from experimental data with advanced computational modeling, this study uncovers the mechanisms driving these reactions and highlights their impact on storage efficiency, and safety. By offering a detailed field-scale perspective, the findings provide a pivotal framework for advancing future hydrogen storage projects and ensuring their practical viability. Full article
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<p>Synthetic 2D homogeneous model representing the saline aquifer studied in this paper (grid top map in meters).</p>
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<p>Relative permeability curves applied for this study [<a href="#B45-hydrogen-06-00004" class="html-bibr">45</a>,<a href="#B46-hydrogen-06-00004" class="html-bibr">46</a>].</p>
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<p>Comparison of the H<sub>2</sub>S formation in moles over the years for two cases with different pyrite concentrations (0.5% in black and 2% in red).</p>
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<p>Comparison of the H<sub>2</sub>S formation in moles over the years for two cases with different hydrogen injection rates (1000 m<sup>3</sup>/d in solid blue, and 5000 m<sup>3</sup>/d in solid red).</p>
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<p>Comparison of H<sub>2</sub>S production in moles for three scenarios where the cushion gas was hydrogen, methane, and carbon dioxide.</p>
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<p>Cumulative volume of available H<sub>2</sub> in m<sup>3</sup> in the reservoir over 9 years.</p>
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<p>Cumulative volume of H<sub>2</sub>S generated in m<sup>3</sup> in the reservoir over 9 years.</p>
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<p>H<sub>2</sub>S gas mole fraction captured after an elapsed time of one year and a half from the initiation of the simulation.</p>
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<p>Cumulative produced H<sub>2</sub>S in m<sup>3</sup>.</p>
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<p>Cumulative produced volume of H<sub>2</sub> in m<sup>3</sup> over time.</p>
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<p>Cumulative hydrogen production (in kg) for different cases.</p>
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<p>H<sub>2</sub> volume (in m<sup>3</sup>) in the reservoir with methanation process.</p>
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<p>Hydrogen cumulative production (in kg) with the prolonged producing operation for Case H and base case.</p>
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<p>The minimum and maximum impurity levels for the different gases within UHS.</p>
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<p>Water saturation at the same time point for the base case (on <b>top</b>) and Case H (on <b>bottom</b>).</p>
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<p>Volume of water (in m<sup>3</sup>) in the aquifer for the base case and Case H.</p>
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<p>Cumulative water production (in m<sup>3</sup>) for 2 different cases.</p>
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<p>Average reservoir pressure (in kPa) for 2 different cases.</p>
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<p>H<sub>2</sub> cumulative moles in the reservoir.</p>
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<p>CO<sub>2</sub> cumulative moles in the reservoir.</p>
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23 pages, 7746 KiB  
Article
Enhancing Coastal Aquifer Characterization and Contamination Inversion with Deep Learning
by Xuequn Chen, Yawen Chang, Chao Wu, Chanjuan Tian, Dan Liu and Simin Jiang
Water 2025, 17(2), 255; https://doi.org/10.3390/w17020255 - 17 Jan 2025
Viewed by 433
Abstract
Coastal aquifers are critical freshwater resources that face increasing threats from contamination and saltwater intrusion. Traditional approaches for characterizing these aquifers are challenged by complex dynamics, high-dimensional parameter spaces, and significant computational demands. This study presents an innovative method that combines an Auto-Regressive [...] Read more.
Coastal aquifers are critical freshwater resources that face increasing threats from contamination and saltwater intrusion. Traditional approaches for characterizing these aquifers are challenged by complex dynamics, high-dimensional parameter spaces, and significant computational demands. This study presents an innovative method that combines an Auto-Regressive Convolutional Neural Network (AR-CNN) surrogate model with the Iterative Local Updating Ensemble Smoother (ILUES) for the joint inversion of contamination source parameters and hydraulic conductivity fields. The AR-CNN surrogate model, trained on synthetic data generated by the SEAWAT model, effectively approximates the complex input–output relationships of coastal aquifer systems, substantially reducing computational burden. The ILUES framework utilizes observational data to iteratively update model parameters. A case study involving a heterogeneous coastal aquifer with multipoint pollution sources demonstrates the efficacy of the proposed method. The results indicate that AR-CNN-ILUES successfully estimates pollution source strengths and characterizes the hydraulic conductivity field, although some limitations are observed in areas with sparse monitoring points and complex geological structures. Compared to the traditional SEAWAT-ILUES framework, the AR-CNN-ILUES approach reduces the total inversion time from approximately 70.4 h to 16.2 h, improving computational efficiency by about 77%. These findings highlight the potential of the AR-CNN-ILUES framework as a promising tool for efficient and accurate characterization of coastal aquifers. By enhancing computational efficiency without significantly compromising accuracy, this method offers a viable solution for the sustainable management and protection of coastal groundwater resources. Full article
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<p>Schematic diagram of Dense Block structure (L = 3).</p>
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<p>Schematic diagram of encoding and decoding layers.</p>
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<p>Schematic diagram of AR-CNN-based surrogate model structure.</p>
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<p>Comparison of SEAWAT-ILUES and AR-CNN-ILUES inversion frameworks.</p>
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<p>(<b>a</b>) shows a cross-section of the coastal confined aquifer, including the model domain, pollutant source locations, and boundary conditions, while (<b>b</b>) shows the model grid, observation wells (W1–W10), and observation points.</p>
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<p>The reference hydraulic conductivity field in the coastal aquifer cross-section.</p>
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<p>The trend in RMSE values for different training sample sizes as the number of training epochs increases.</p>
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<p>Estimated values of contaminant source strength <math display="inline"><semantics> <mrow> <msubsup> <mi mathvariant="normal">S</mi> <mi>i</mi> <mi>j</mi> </msubsup> <mo> </mo> <mrow> <mo>(</mo> <mrow> <mi>where</mi> <mo> </mo> <mi>i</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mo> </mo> <mn>2</mn> <mo>,</mo> <mo> </mo> <mn>3</mn> <mo> </mo> <mrow> <mi>and</mi> <mo> </mo> </mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mo> </mo> <mn>3</mn> <mo>,</mo> <mo> </mo> <mn>5</mn> <mo>,</mo> <mo> </mo> <mo> </mo> <mn>7</mn> <mo>,</mo> <mn>9</mn> </mrow> <mo>)</mo> </mrow> </mrow> </semantics></math> based on the AR-CNN-ILUES framework.</p>
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<p>Characterization results of the hydraulic conductivity field based on the AR-CNN-ILUES framework: (<b>a</b>) reference hydraulic conductivity field; (<b>b</b>–<b>d</b>) three posterior estimate fields; (<b>e</b>) posterior mean field of hydraulic conductivity; (<b>f</b>) variance field of posterior distribution.</p>
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<p>Inversion results of pollution source intensities using SEAWAT-ILUES and AR-CNN-ILUES frameworks.</p>
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<p>Comparison of the reference hydraulic conductivity field and the inversion results: (<b>a</b>) reference hydraulic conductivity field; (<b>b</b>) inversion results under the SEAWAT-ILUES framework; (<b>c</b>) inversion results under the AR-CNN-ILUES framework.</p>
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17 pages, 10357 KiB  
Article
Performance Assessment of a Permeable Reactive Barrier on Reducing Groundwater Transport of Nitrate from an Onsite Wastewater Treatment System
by Charles P. Humphrey Jr., Guy Iverson and Mike O’Driscoll
Hydrology 2025, 12(1), 18; https://doi.org/10.3390/hydrology12010018 - 17 Jan 2025
Viewed by 776
Abstract
Elevated concentrations of nitrate in potable water supplies have been linked to negative health outcomes such as methemoglobinemia and various cancers. Groundwater can become contaminated with nitrate from sources including onsite wastewater treatment systems (OWTSs). A groundwater well down-gradient from an OWTS serving [...] Read more.
Elevated concentrations of nitrate in potable water supplies have been linked to negative health outcomes such as methemoglobinemia and various cancers. Groundwater can become contaminated with nitrate from sources including onsite wastewater treatment systems (OWTSs). A groundwater well down-gradient from an OWTS serving an elementary school in Eastern North Carolina USA had 15 consecutive water samples collected over a 5-year period that exceeded the maximum contaminant level of 10 mg/L for nitrate. Corrective actions were required. A permeable reactive barrier (PRB) filled with woodchips was installed between the OWTS drainfield and the contaminated well. The concentration of nitrate in groundwater from the well steadily decreased after the PRB was installed, and a significant (p = 0.001) inverse correlation (−0.859) was observed between the mean annual nitrate concentration and years after the PRB. The nitrate concentration in groundwater from the well has been below 10 mg/L for the last 17 consecutive sampling events. The median nitrate concentration in the well was significantly lower (p = 0.007) post (6.93 mg/L) relative to pre (12.66 mg/L) PRB. The PRB has not required any maintenance over the past 10 years. The implemented PRB directly influences the sampling results from a monitoring well, but it is not necessarily confirmed that it intercepts the entire groundwater flow or fully prevents aquifer contamination. To confirm this, additional monitoring wells would need to be installed. This research has shown that PRBs can be an effective, low-maintenance, best-management practice to reduce the groundwater transport of nitrate. Full article
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<p>Aerial view of the study site showing locations of the septic drainfield and groundwater monitoring Wells 1–3. The groundwater flow direction (northwest) is shown as a dark blue arrow. A magnified image of the barrier is shown in (A).</p>
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<p>Diagram of the PRB including the placement of woodchips in a trench between the septic drainfield for the school and the monitoring well. The woodchip reactor was installed at the same depth as the well. A woodchip and native soil mix was used to fill the rest of the trench to the surface.</p>
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<p>A trench was excavated between the onsite wastewater treatment system and Well 2.</p>
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<p>Woodchips were placed at the bottom of the trench and used as a carbon source for the reactive barrier. The trench was covered with native soil.</p>
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<p>Scatter plot of nitrate concentrations in groundwater sampled from Wells 1, 2, and 3 between 2005 and 2023.</p>
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<p>Mean annual nitrate concentrations in groundwater sampled from Wells 1, 2, and 3. Concentrations of nitrate in groundwater sampled from Wells 1 and 3 typically fluctuated between 4 and 6 mg/L before and after the barrier was installed in mid-2014 (red dashed line). Nitrate concentrations in groundwater sampled from Well 2 were increasing prior to installation of the PRB and decreased after installation of the PRB.</p>
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<p>Mean annual nitrate concentration in groundwater sampled from Well 2 prior to installation of the PRB. The blue dots represent the mean nitrate concentrations for individual years. The red line is the “best fit” slope.</p>
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<p>Mean annual nitrate concentration in groundwater sampled from Well 2 after installation of the PRB. The blue dots represent the mean nitrate concentrations for individual years. The red line is the “best fit” slope.</p>
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<p>Concentrations of nitrate in groundwater sampled from Well 2 before (Preb) and after (Postb) installation of the PRB in May 2014. A statistical outlier is shown as (*).</p>
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18 pages, 4565 KiB  
Article
Groundwater Recharge Evaluation Using Stable Isotopes and the NETPATH Model in Al-Madinah Al-Munawarah Province, Saudi Arabia
by Milad Masoud, Maged El Osta, Nassir Al-Amri, Burhan Niyazi, Abdulaziz Alqarawy, Riyadh Halawani and Mohamed Rashed
Water 2025, 17(2), 211; https://doi.org/10.3390/w17020211 - 14 Jan 2025
Viewed by 456
Abstract
In this study, hydrogeochemistry and environmentally stable isotopes were employed to examine the processes involved in recharging aquifer systems and the changes in the groundwater chemistry caused by the interaction between the water and the aquifer matrix. Based on data derived from 113 [...] Read more.
In this study, hydrogeochemistry and environmentally stable isotopes were employed to examine the processes involved in recharging aquifer systems and the changes in the groundwater chemistry caused by the interaction between the water and the aquifer matrix. Based on data derived from 113 groundwater wells, various tools and techniques, including stable environmental isotopes Oxygen-18 and Deuterium (δ18O and δD) for 33 samples and geochemical modeling with NETPATH, were used to evaluate the recharge mechanism and the evolution of the groundwater, combining GIS with hydrological and hydrochemical methods. The results revealed that groundwater from the Quaternary was the main source for irrigation; the water quality was categorized as relatively fresh to saline, with the total dissolved solids (TDSs) ranging from 261.3 to 8628.56 mg/L, exhibiting an average value of 2311.68 mg/L. The results of the environmental isotope analysis showed that the range of oxygen δ18O isotopes in the groundwater was from −5.65‰ to +0.39‰, while the range of hydrogen δD isotopes was from −32.60‰ to 4.73‰. Moreover, the δ18O–δD relationship indicated that the groundwater samples fell around the global meteoric precipitation line, showing a strong relationship, with a coefficient (R2) of approximately 0.82. The NETPATH model revealed that the dissolved chemical species within the groundwater system primarily originated from processes such as mineral weathering and dissolution, ion exchange, and evaporation. Full article
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<p>Map of Al-Madinah Al-Munawarah, Saudi Arabia, and locations of groundwater samples.</p>
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<p>Annual distribution map of average rainfall (<b>a</b>) and geological map (<b>b</b>) of Al-Madinah Al-Munawarah Province, Saudi Arabia.</p>
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<p>Distribution maps of depth to groundwater (<b>a</b>) and water table with flow directions (<b>b</b>) in Al-Madinah Al-Munawarah Province.</p>
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<p>Distribution map of the total dissolved solids (TDSs in mg/L) in the groundwater of Al-Madinah Al-Munawarah Province.</p>
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<p>Major ions’ concentrations (mg/L) versus total dissolved solids (TDSs) in mg/L for groundwater samples collected in Al-Madinah Al-Munawarah Province.</p>
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<p>Modified Piper diagram, according to Chadha [<a href="#B24-water-17-00211" class="html-bibr">24</a>], for groundwater types in Al-Madinah Al-Munawarah Province.</p>
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<p>Location map of groundwater samples selected for stable isotope analysis and profiling using NETPATH model in Al-Madinah Al-Munawarah Province.</p>
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<p>Global meteoric water line and stable isotope signatures for deuterium versus oxygen-18 for the examined groundwater samples in Al-Madinah Al-Munawarah Province, where the data of Wadi Malal (Al Madinah Al Munawarah) is after [<a href="#B3-water-17-00211" class="html-bibr">3</a>] and the average isotopic value in Riyadh is after [<a href="#B29-water-17-00211" class="html-bibr">29</a>].</p>
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<p>Representation of chloride concentrations versus δ<sup>18</sup>O for the examined groundwater samples in Al-Madinah Al-Munawarah Province.</p>
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22 pages, 6828 KiB  
Article
Model Test on the Behaviors of Deep Excavation with Lateral Confined Water
by Mingyuan Wang, Minyun Hu, Chaohua Li, Xiaobing Xu, Zefeng Ye and Qi Hu
Appl. Sci. 2025, 15(2), 663; https://doi.org/10.3390/app15020663 - 11 Jan 2025
Viewed by 765
Abstract
To investigate the excavation characteristics and mechanisms of a deep foundation under lateral confined water pressure, a model test was conducted with real-time monitoring of the stress and deformation of the foundation strut system. The results indicate that in stages 1 and 3 [...] Read more.
To investigate the excavation characteristics and mechanisms of a deep foundation under lateral confined water pressure, a model test was conducted with real-time monitoring of the stress and deformation of the foundation strut system. The results indicate that in stages 1 and 3 (the process of raising the lateral confined water level, O and F), the rise in lateral confined water levels caused the diaphragm wall to shift inward. However, the reduction in earth pressure due to the inward shift of the diaphragm wall exceeded the increase in water pressure from the raised confined water level, resulting in an overall decrease in lateral pressure on the diaphragm wall. During stage 2 (the excavation and supporting process, K1–Z4), as excavation and strut installation progressed, the lateral pressure on the diaphragm wall decreased, while both bending moment and horizontal displacement increased, with the most pronounced changes occurring when excavation reached the depth of the lateral confined aquifer. Upon reaching the soil layers within the depth of the lateral confined aquifer, the axial force of struts increased significantly, with the second level of strut experiencing the greatest axial force. In deep foundation design, it is essential to account for the maximum bending moment and horizontal displacement of the diaphragm wall within the depth range of the lateral confined aquifer, as well as the maximum vertical displacement in the range of 0.50%D–0.83%D outside the pit. Due to the rapid transmission of lateral confined water pressure changes in fine sand, and the delayed transmission in clay due to their low permeability, the diaphragm wall response is most pronounced within the depth range of the lateral confined aquifer. Full article
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<p>Parameters of the foundation pit.</p>
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<p>Schematic of model test system: (<b>a</b>) cross-sectional view; (<b>b</b>) plan view (unit: mm).</p>
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<p>Schematic of model test system: (<b>a</b>) cross-sectional view; (<b>b</b>) plan view (unit: mm).</p>
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<p>Photo of diaphragm wall for model test.</p>
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<p>Photos of the strut for the model test: (<b>a</b>) before assembling; (<b>b</b>) after assembling.</p>
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<p>Photo of the water level control system for the model test.</p>
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<p>Location of monitoring points for model test.</p>
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<p>Photos of testing procedure: (<b>a</b>) before excavation; (<b>b</b>) after excavation.</p>
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<p>Incremental curves of lateral pressure on diaphragm walls: (<b>a</b>) left side; (<b>b</b>) right side.</p>
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<p>Incremental curves of lateral pressure on diaphragm walls: (<b>a</b>) left side; (<b>b</b>) right side.</p>
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<p>Bending moment variation on diaphragm wall.</p>
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<p>Pore water pressure in each test stage: (<b>a</b>) left side; (<b>b</b>) right side.</p>
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<p>Diachronic curves of strut axial force.</p>
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<p>Horizontal displacement of diaphragm walls: (<b>a</b>) left side; (<b>b</b>) right side.</p>
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<p>Horizontal displacement of diaphragm wall top in each test stage.</p>
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<p>Horizontal displacement duration curves of the diaphragm wall at 275 mm depth.</p>
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<p>Vertical displacement at the ground surface: (<b>a</b>) left side; (<b>b</b>) right side.</p>
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<p>Chart of strut axial force under different lateral confined water levels.</p>
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<p>Deformation pattern of the diaphragm wall under different lateral confined water levels.</p>
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23 pages, 10566 KiB  
Article
Coupling Driving Force–Pressure–State–Impact–Response–Management Framework with Hydrochemical Data for Groundwater Management on Sithonia Peninsula, Greece
by Eleni Parastatidou, Maria Margarita Ntona, Nerantzis Kazakis and Fotios-Konstantinos Pliakas
Geosciences 2025, 15(1), 24; https://doi.org/10.3390/geosciences15010024 - 11 Jan 2025
Viewed by 881
Abstract
Water scarcity in coastal tourist areas constitutes a critical environmental and socioeconomic sustainability issue. Hence, it is crucial to implement an integrated water resource management and protection plan. In this research, the DPSIR framework is coupled with hydrochemical data on groundwater resources in [...] Read more.
Water scarcity in coastal tourist areas constitutes a critical environmental and socioeconomic sustainability issue. Hence, it is crucial to implement an integrated water resource management and protection plan. In this research, the DPSIR framework is coupled with hydrochemical data on groundwater resources in the fractured aquifer of the Sithonia Peninsula in Chalkidiki, North Greece. Geographical and demographic data, together with morphology, geology, hydrology, and groundwater quality data, were collected and evaluated to categorize the hydrosystem’s driving forces, pressures, states, impacts, and responses. The main pressures that affect groundwater quality in the study area are tourism, geological formation, and land use. Based on the analysis of the DPSIR framework, the absence of a landfill site, the inadequate operation of sewage treatment plants and biological wastewater treatment systems, and tourist activity contribute significantly to the degradation of groundwater quality. Additionally, the fractured rock aquifer develops preferential flow paths to pollutants through preexisting faults, which influence groundwater quality. The hydrochemical analysis of groundwater indicates seawater intrusion in the coastal area. The combination of DPSIR analysis and a water quality index based on ion ratios of groundwater samples identifies high-risk areas of seawater intrusion. Thus, it is essential to reinforce groundwater resources by implementing managed aquifer recharge, limiting unnecessary use of groundwater during the tourist season, and storing surface water during the wet period. Full article
(This article belongs to the Section Hydrogeology)
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<p>Geographical map of the study area.</p>
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<p>Population increase in the study area from 1981 to 2021 (Hellenic Statistical Authority). Red denotes the population based in settlements &lt; 500 m to the coastline, whereas blue denotes the population residing in settlements &gt; 500 m from the coastline.</p>
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<p>Geological map of the study area (Hellenic Survey of Geology and Mineral Exploration (HSGME) with modifications, scale 1:50,000, sheets: Arnea and Sithonia [<a href="#B52-geosciences-15-00024" class="html-bibr">52</a>]).</p>
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<p>Hydrogeological map of the study area.</p>
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<p>Flowchart of the methodology applied to determine the hydrochemical regimes and pressures in the study area for sustainable water management.</p>
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<p>Classification of groundwater samples presented in (<b>a</b>) Wilcox, (<b>b</b>) SAR, (<b>c</b>) Piper, and (<b>d</b>) Durov diagrams.</p>
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<p>Percentages of the chemical types of water identified based on the main cation in the groundwater samples.</p>
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<p>Scatter plots of electrical conductivity versus Na/Cl ratio (<b>a</b>) and Na/Cl versus Ca/Mg ratio (<b>b</b>) to assess seawater’s influence on groundwater in the study area.</p>
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<p>Spatial distribution of land use and seawater intrusion index results on Sithonia Peninsula.</p>
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<p>The study area’s three high-priority areas and their pressure points.</p>
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31 pages, 30312 KiB  
Article
Site-Specific Hydrogeological Characterization for Radiological Safety: Integrating Groundwater Dynamics and Transport
by Soo-Gin Kim, Hong-Il Kwon, Jeoung-Seok Yoon, Chan-Hong Kim, Hyo Heo and Chung-Mo Lee
Water 2025, 17(2), 186; https://doi.org/10.3390/w17020186 - 11 Jan 2025
Viewed by 490
Abstract
The radiological impact of radionuclide transport via groundwater pathways at the Wolsong Low- and Intermediate-Level Waste (LILW) Disposal Center was estimated by considering site-specific characteristics, including hydrogeology, geochemistry, and land use. Human intrusion scenarios, such as groundwater well development, were analyzed to evaluate [...] Read more.
The radiological impact of radionuclide transport via groundwater pathways at the Wolsong Low- and Intermediate-Level Waste (LILW) Disposal Center was estimated by considering site-specific characteristics, including hydrogeology, geochemistry, and land use. Human intrusion scenarios, such as groundwater well development, were analyzed to evaluate potential pumping volumes and radionuclide migration pathways. Particular attention was given to the hydrological and geochemical aspects of radionuclide transport, with a focus on local aquifer heterogeneity, flow dynamics, and interactions with engineered barriers and surrounding rock formations that delay radionuclide migration through sorption and other retention mechanisms. Sorption coefficients (Kd), calibrated using site-specific geochemical data, were incorporated to ensure realistic modeling of radionuclide behavior. A hierarchical approach integrating scenario screening, particle tracking techniques, and mass transfer modeling was employed. Numerical simulations using FEFLOW ver. 7.3 and GoldSim ver. 14.0 software provided insights into near-field and far-field transport phenomena under well pumping conditions. The results revealed distinct spatial flux behaviors, where carbon-14 (14C) dominated near-field flux due to its high inventory, while technetium-99 (99Tc) emerged as the primary dose contributor in the far-field flux, owing to its anionic nature and limited sorption capacity. Additionally, under high-pH conditions near concrete barriers, cellulose degradation into isosaccharinic acid was identified, enhancing radionuclide mobility through complex formation. These findings underscore the importance of site-specific sorption and speciation parameters in safety assessment and highlight the need for accurate geochemical modeling to optimize waste placement and ensure long-term disposal safety. The outcomes provide valuable insights for optimizing waste placement and contribute to the development of evidence-based safety strategies for long-term performance assessment. Full article
(This article belongs to the Section Hydrogeology)
Show Figures

Figure 1

Figure 1
<p>Map of study area (Southeastern of Korea).</p>
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<p>Aerial photograph of the Wolsong LILW Disposal Center before development (courtesy of Google Earth, 2005).</p>
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<p>Aerial photograph of the Wolsong LILW Disposal Center after development (courtesy of Google Earth, 2023).</p>
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<p>Phase 1 silo-type facility at Wolsong LILW Disposal Center: (<b>a</b>) entrance view; (<b>b</b>) design layout of disposal silos.</p>
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<p>Groundwater level distribution at the Wolsong LILW Disposal Center site.</p>
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<p>Spatial distribution of hydraulic conductivity (K<sub>xx</sub>) derived from DFN modeling at the Wolsong LILW Disposal Center site.</p>
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<p>The 30-year climate normal (1985–2014) for the Ulsan weather station.</p>
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<p>Methodological framework for the safety assessment of human intrusion scenarios.</p>
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<p>Conceptual model for predicting dilution factors in well scenarios.</p>
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<p>Conceptual model of radionuclide migration in Phase 1 silo-type disposal facility.</p>
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<p>Identification of potential well development zones.</p>
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<p>Evaluation of seawater intrusion impact in Section #3: (<b>a</b>) locations of monitoring wells for assessing seawater intrusion impact; (<b>b</b>) modeling results at hypothetical well SI-1; (<b>c</b>) modeling results at hypothetical well SI-3.</p>
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<p>Land use status within the Wolsong LILW Disposal Center site: (<b>a</b>) digital topographic map before construction (2005); (<b>b</b>) digital topographic map after construction (2023).</p>
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<p>Slope analysis results for potential future use areas. Numbers in blue font with underlines indicate slope ranges suitable for potential agricultural use: (<b>a</b>) topographic slope distribution of Section #1 before facility construction (2005); (<b>b</b>) topographic slope distribution of Section #2 before facility construction (2005); (<b>c</b>) topographic slope distribution of Section #1 after facility construction (2023); (<b>d</b>) topographic slope distribution of Section #2 after facility construction (2023).</p>
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<p>Potential well development locations: (<b>a</b>) screening results (purple shaded areas); (<b>b</b>) aerial photograph of identified feasible areas.</p>
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<p>Placement of hypothetical wells for site screening in Section #1. The dots within the area indicate virtual well installation points: (<b>a</b>) overview of well locations; (<b>b</b>) detailed view of well positions.</p>
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<p>Placement of hypothetical wells for site screening in Section #2. The dots within the area indicate virtual well installation points: (<b>a</b>) overview of well locations; (<b>b</b>) detailed view of well positions.</p>
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<p>Representative well locations considering groundwater flow patterns: (<b>a</b>) site overview; (<b>b</b>) detailed view of silo area.</p>
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<p>Contaminant transport analysis at representative well (1E-1) in Section #1 under varying pumping rates: (<b>a</b>) correlation between pumping rates and particle inflow ratios; (<b>b</b>) groundwater flow patterns around the well at the pumping rate where particle inflow ceases.</p>
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<p>Contaminant transport analysis at representative well (1E-1) in Section #1 under varying pumping rates: (<b>a</b>) relationship between pumping rates and contaminant transport distances; (<b>b</b>) contaminant pathways under varying pumping rates.</p>
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<p>Contaminant transport analysis at representative well (1E-1) in Section #1 under varying pumping rates: (<b>a</b>) relationship between pumping rates and Darcy velocities; (<b>b</b>) spatial distribution of hydraulic-heads under different pumping conditions.</p>
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<p>Contaminant transport analysis at representative well (1E-1) in Section #1 under varying pumping rates: (<b>a</b>) correlation between pumping rates and particle inflow ratios; (<b>b</b>) relationship between pumping rates and contaminant transport distances; (<b>c</b>) relationship between pumping rates and Darcy velocities.</p>
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<p>Variations in near-field and far-field flux with respect to changes in pumping rates: (<b>a</b>) near-field flux at Section #1 (1E-1); (<b>b</b>) far-field flux at Section #1 (1E-1); (<b>c</b>) near-field flux at Section #2 (2J-1); (<b>d</b>) far-field flux at Section #2 (2J-1).</p>
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<p>Variations in DCF and dose with respect to changes in pumping rates in Section #1: (<b>a</b>) DCF at Section #1 (1E-1); (<b>b</b>) dose at Section #1 (1E-1).</p>
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<p>Variations in DCF and dose with respect to changes in pumping rates in Section #2: (<b>a</b>) DCF at Section #2 (2J-1); (<b>b</b>) dose at Section #2 (2J-1).</p>
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<p>Dose evaluation results at representative locations: (<b>a</b>) representative well in Section #1 (1E-1); (<b>b</b>) representative well in Section #2 (2J-1).</p>
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