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Search Results (1,787)

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22 pages, 1440 KiB  
Article
Remote Radio Frequency Sensing Based on 5G New Radio Positioning Reference Signals
by Marcin Bednarz and Tomasz P. Zielinski
Sensors 2025, 25(2), 337; https://doi.org/10.3390/s25020337 - 9 Jan 2025
Viewed by 229
Abstract
In this paper, the idea of a radar based on orthogonal frequency division multiplexing (OFDM) is applied to 5G NR Positioning Reference Signals (PRS). This study demonstrates how the estimation of the communication channel using the PRS can be applied for the identification [...] Read more.
In this paper, the idea of a radar based on orthogonal frequency division multiplexing (OFDM) is applied to 5G NR Positioning Reference Signals (PRS). This study demonstrates how the estimation of the communication channel using the PRS can be applied for the identification of objects moving near the 5G NR receiver. In this context, this refers to a 5G NR base station capable of detecting a high-speed train (HST). The anatomy of a 5G NR frame as a sequence of OFDM symbols is presented, and different PRS configurations are described. It is shown that spectral analysis of time-varying channel impulse response weights, estimated with the help of PRS pilots, can be used for the detection of transmitted signal reflections from moving vehicles and the calculation of their time and frequency/Doppler shifts. Different PRS configurations with varying time and frequency reference signal densities are tested in simulations. The peak-to-noise-floor ratio (PNFR) of the calculated radar range–velocity maps (RVM) is used for quantitative comparison of PRS-based radar scenarios. Additionally, different echo signal strengths are simulated while also checking various observation window lengths (FFT lengths). This study proves the practicality of using PRS pilots in remote sensing; however, it shows that the most dense configurations do not provide notable improvements, while also demanding considerably more resources. Full article
(This article belongs to the Special Issue Remote Sensing-Based Intelligent Communication)
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<p>5G NR Resource Grid.</p>
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<p>Physical resource mapping of PRS with <math display="inline"><semantics> <msubsup> <mi>K</mi> <mrow> <mi>c</mi> <mi>o</mi> <mi>m</mi> <mi>b</mi> </mrow> <mrow> <mi>P</mi> <mi>R</mi> <mi>S</mi> </mrow> </msubsup> </semantics></math> = 4, <math display="inline"><semantics> <msub> <mi>L</mi> <mrow> <mi>P</mi> <mi>R</mi> <mi>S</mi> </mrow> </msub> </semantics></math> = 4, and <math display="inline"><semantics> <msubsup> <mi>k</mi> <mrow> <mi>o</mi> <mi>f</mi> <mi>f</mi> <mi>s</mi> <mi>e</mi> <mi>t</mi> </mrow> <mrow> <mi>P</mi> <mi>R</mi> <mi>S</mi> </mrow> </msubsup> </semantics></math> = 1. The PRS resource is marked with red color.</p>
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<p>Physical resource mapping of two PRS resources with <math display="inline"><semantics> <msubsup> <mi>K</mi> <mrow> <mi>c</mi> <mi>o</mi> <mi>m</mi> <mi>b</mi> </mrow> <mrow> <mi>P</mi> <mi>R</mi> <mi>S</mi> </mrow> </msubsup> </semantics></math> = 6, <math display="inline"><semantics> <msub> <mi>L</mi> <mrow> <mi>P</mi> <mi>R</mi> <mi>S</mi> </mrow> </msub> </semantics></math> = 6 and <math display="inline"><semantics> <msubsup> <mi>k</mi> <mrow> <mi>o</mi> <mi>f</mi> <mi>f</mi> <mi>s</mi> <mi>e</mi> <mi>t</mi> </mrow> <mrow> <mi>P</mi> <mi>R</mi> <mi>S</mi> </mrow> </msubsup> </semantics></math> = 1, and <math display="inline"><semantics> <msubsup> <mi>k</mi> <mrow> <mi>o</mi> <mi>f</mi> <mi>f</mi> <mi>s</mi> <mi>e</mi> <mi>t</mi> </mrow> <mrow> <mi>P</mi> <mi>R</mi> <mi>S</mi> </mrow> </msubsup> </semantics></math> = 8. The first PRS resource is marked with the red color, and the second PRS resource is marked with the blue color.</p>
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<p>Different PRS configurations with one PRS resource. The PRS resource is marked with red color.</p>
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<p>Different PRS configurations with two PRS resources. The first PRS resource is marked with the red color, and the second PRS resource is marked with the blue color.</p>
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<p>Study scenario with one target.</p>
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<p>Principle of the OFDM-based radar exploiting PRS.</p>
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<p>Exemplary range−velocity matrix (RVM) with one target. The warmer the color, the greater strength of the reflection.</p>
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<p>PNFR for different PRS configurations (solid lines with asterisk markers) together with velocity RMSE as a reference (dashed lines).</p>
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<p>Root mean square error of velocity estimation for different PRS configurations (solid lines with asterisk markers) together with PNFR as a reference (dashed lines).</p>
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<p>Root mean square error of range estimation for different PRS configurations (solid lines with asterisk markers) together with PNFR as a reference (dashed lines).</p>
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<p>PNFR for different PRS configurations with 1 PRS resource as a function of SNR for different levels of reflection gains.</p>
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<p>PNFR for different PRS configurations with 2 PRS resources as a function of SNR for different levels of reflection gains.</p>
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<p>PNFR for different PRS configurations with 1 PRS resource as a function of the number of frames taken for observation for different levels of reflection gains.</p>
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<p>PNFR for different PRS configurations with 2 PRS resources as a function of the number of 5G frames taken for observation for different levels of reflection gains.</p>
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20 pages, 3405 KiB  
Article
ICOS Potenza (Italy) Atmospheric Station: A New Spot for the Observation of Greenhouse Gases in the Mediterranean Basin
by Emilio Lapenna, Antonella Buono, Alessandro Mauceri, Isabella Zaccardo, Francesco Cardellicchio, Francesco D’Amico, Teresa Laurita, Davide Amodio, Canio Colangelo, Gianluca Di Fiore, Antonella Gorga, Ermann Ripepi, Francesco De Benedictis, Silvana Pirelli, Liborio Capozzo, Vincenzo Lapenna, Gelsomina Pappalardo, Serena Trippetta and Lucia Mona
Atmosphere 2025, 16(1), 57; https://doi.org/10.3390/atmos16010057 - 8 Jan 2025
Viewed by 343
Abstract
The Integrated Carbon Observation System (ICOS) is the reference Research Infrastructure (RI) for the observation of greenhouse gases (GHGs) across Europe, providing standardised, long-term and high-precision measurements of the most relevant species (CO2, CH4, CO, etc.). The ICOS Atmosphere [...] Read more.
The Integrated Carbon Observation System (ICOS) is the reference Research Infrastructure (RI) for the observation of greenhouse gases (GHGs) across Europe, providing standardised, long-term and high-precision measurements of the most relevant species (CO2, CH4, CO, etc.). The ICOS Atmosphere network currently extends throughout the continent, although the density of stations in the Mediterranean area is still low compared to Central and Northern Europe. In this context, the recently implemented class 1 continental station near Potenza in Basilicata, Italy—station code: POT—represents an important step forward in the extension of the ICOS atmosphere domain across the South, reducing the large spatial gaps existing between ICOS sites within the Mediterranean basin. Herein, we provide a description of the new ICOS POT station and the site where it operates, focusing mostly on the technical setup of the sampling system which plays a key role in GHG measurements. With a strong technical connotation, the present paper aims to be beneficial for the ICOS atmosphere community and those stations that intend to join the network in the future, providing an accurate description of the station at the level of single components. Moreover, a brief overview of the peculiarities of the site and the scientific perspectives to be pursued, together with very preliminary data collected at the new ICOS station, are presented. Preliminary data collected during a short campaign are compared with STILT (Stochastic Time-Inverted Lagrangian Transport) model results as a first test of the measurements and to provide a first insight of the specific Potenza situation in terms of GHG concentrations. Full article
(This article belongs to the Section Air Quality)
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<p>Spatial distribution map of the ICOS stations across Europe [<a href="#B18-atmosphere-16-00057" class="html-bibr">18</a>]. The atmosphere stations are flagged with red dots.</p>
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<p>The new ICOS POT station (<b>left</b>) with the locations of ICOS sites (Potenza as red marker, Lampedusa as orange, Monte Cimone as yellow, ISPRA as green, Plateau Rosa as purple) within Italian territory (<b>top right</b>) and the Tito Scalo area (<b>bottom right</b>).</p>
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<p>Wind rose measured near the ICOS site covering one year of continuous observations from October 2023 to September 2024. Wind measures have been collected by Vaisala AWS310 station.</p>
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<p>STILT predictions for CO<sub>2</sub> (<b>upper</b>) and CH<sub>4</sub> (<b>bottom</b>) over the year 2022. Single points and thin lines mark predictions for the Monte Cimone (light green) and Potenza (light blue) sites. The thick lines show average values of chemical species computed by smoothing single data points, dark green for CMN site while dark blue for POT site.</p>
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<p>Overall scheme of the POT station with the main parts of multicomponent assembly (<b>left panel</b>). The legend with component symbols and model details is also reported (<b>right panel</b>).</p>
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<p>Sampling lines inlet (<b>left</b>) and related scheme (<b>right</b>).</p>
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<p>Multicomponent assembly (<b>left</b>) and related scheme (<b>right</b>). All the components are provided by Swagelok with the exception of the M&amp;C FS-2K filter. The air samples coming from the inlets at different heights flow from thick black pipe (12 mm OD).</p>
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<p>Comparison between CO<sub>2</sub> (<b>upper</b>) and CH<sub>4</sub> (<b>bottom</b>) measurements collected under the short campaign performed during 25 days of measurements, from 16 August to 9 September 2022, and STILT predictions. Dark green points mark the daily average value reported at 12:00 UTC, light-green shaded areas highlight 1σ variability for data averaged within each day. STILT predictions have been reported for both chemical species as light-blue lines.</p>
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14 pages, 2113 KiB  
Article
Influence of Combinations of Estimated Meteorological Parameters on Reference Evapotranspiration and Wheat Irrigation Rate Calculation, Wheat Yield, and Irrigation Water Use Efficiency
by Wei Shi, Wengang Zheng, Feng Feng, Xuzhang Xue and Liping Chen
Water 2025, 17(2), 138; https://doi.org/10.3390/w17020138 - 7 Jan 2025
Viewed by 404
Abstract
The amount of irrigation needed can be determined using reference evapotranspiration (ETo), the crop coefficient (Kc), and the water deficit index. Reference evapotranspiration is typically calculated utilizing the Penman–Monteith (PM) model, which necessitates various meteorological parameters, including temperature, humidity, net radiation, and wind [...] Read more.
The amount of irrigation needed can be determined using reference evapotranspiration (ETo), the crop coefficient (Kc), and the water deficit index. Reference evapotranspiration is typically calculated utilizing the Penman–Monteith (PM) model, which necessitates various meteorological parameters, including temperature, humidity, net radiation, and wind speed. In regions where meteorological stations are absent, alternative methods must be employed to estimate these parameters. This study employs a combination of estimated meteorological parameters derived from different methodologies to calculate both reference evapotranspiration and irrigation rates, subsequently evaluating the results through wheat irrigation experiments. The daily irrigation rate for the T1 treatment was computed using real-time meteorological data, resulting in the highest grain yield of 561.73 g/m2 and an irrigation water use efficiency of 7.61 kg/m3. The irrigation rate for the T2 treatment was determined based on real-time net radiation alongside monthly average values of temperature, humidity, and wind speed. In comparison to T1, the irrigation amount, yield, and irrigation water use efficiency for T2 decreased by 1.59%, 2.96%, and 1.42%, respectively. For the T3 treatment, the irrigation amount was calculated using monthly average values of temperature, humidity, and wind speed, with net radiation derived from daily light duration. The yield for T3 decreased by 19.4% relative to T1, the irrigation amount decreased by 12.95% relative to T1, and the irrigation water use efficiency decreased by 7.45% relative to T1. In the case of the T4 treatment, monthly average values of temperature, humidity, and wind speed were utilized, while net radiation was calculated using the Hargreaves–Samani (HS) model in conjunction with real-time temperature data. The yield for T4 decreased by 8.75% relative to T1, the irrigation amount decreased by 5.58% relative to T1, and the irrigation water use efficiency decreased by 3.39% relative to T1. For the T5 treatment, similar monthly average values were employed, and net radiation was calculated using HS methodology combined with monthly average temperature data. The yield for T5 decreased by 11.96% relative to T1, the irrigation amount decreased by 6.07% relative to T1, and the irrigation water use efficiency decreased by 6.3% relative to T1. Furthermore, the yield for the CK treatment under conventional irrigation decreased by 20.89% compared to T1, while the irrigation amount increased by 1.57% compared to T1 and the irrigation water use coefficient decreased by 22.14% compared to T1. Above all, this article posits that in areas lacking meteorological stations, monthly mean meteorological data should be utilized for parameters such as temperature, humidity, and wind speed, while the HS model is recommended for calculating net radiation. Full article
(This article belongs to the Section Water, Agriculture and Aquaculture)
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<p>Meteorological station in the experimental zone (WS-1802 remote meteorological station developed by the Intelligent Equipment Technology Research Center of Beijing Academy of Agriculture and Forestry Sciences).</p>
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<p>Wheat cultivation experiment and monitoring equipment for lysimeter.</p>
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<p>Daily environmental change map of climate in the experimental zone.</p>
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<p>Comparison of ETc values calculated by various models.</p>
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<p>Daily irrigation amount in each experimental area: (<b>A</b>) describes the daily irrigation amount of T1 group; (<b>B</b>) describes the daily irrigation amount of T2 group; (<b>C</b>) describes the daily irrigation amount of T3 group; (<b>D</b>) describes the daily irrigation amount of T4 group; (<b>E</b>) describes the daily irrigation amount of T5 group; (<b>F</b>) describes the daily irrigation amount of T6 group.</p>
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<p>Comparison of ET<sub>C</sub> correlation calculated between each treatment and T1 treatment: (<b>A</b>) comparison chart of ET<sub>C</sub> correlation calculated for T2 treatment and T1 treatment; (<b>B</b>) comparison chart of ET<sub>C</sub> correlation calculated for T3 treatment and T1 treatment; (<b>C</b>) comparison chart of ET<sub>C</sub> correlation calculated for T4 treatment and T1 treatment; (<b>D</b>) comparison chart of ET<sub>C</sub> correlation calculated for T5 treatment and T1 treatment.</p>
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<p>Distribution of ET<sub>C</sub> statistical indicators calculated by each model.</p>
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21 pages, 6143 KiB  
Article
Investigating the Construction Procedure and Safety Oversight of the Mechanical Shaft Technique: Insights Gained from the Guangzhou Intercity Railway Project
by Jianwang Li, Wenrui Qi, Xinlong Li, Gaoyu Liu, Jian Chen and Huawei Tong
Buildings 2025, 15(1), 129; https://doi.org/10.3390/buildings15010129 - 3 Jan 2025
Viewed by 435
Abstract
Currently, subway and underground engineering projects are vital for alleviating urban congestion and enhancing citizens’ quality of life. Among these, excavation engineering for foundation pits involves the most accidents in geotechnical engineering. Although there are various construction methods, most face issues such as [...] Read more.
Currently, subway and underground engineering projects are vital for alleviating urban congestion and enhancing citizens’ quality of life. Among these, excavation engineering for foundation pits involves the most accidents in geotechnical engineering. Although there are various construction methods, most face issues such as a large footprint, high investments, resource waste, and low mechanization. Addressing these, this paper focuses on a subway foundation pit project in Guangzhou using mechanical shaft sinking technology. Using intelligent cloud monitoring, we analyzed the stress–strain patterns of the cutting edge and segments. The results showed significant improvements in construction efficiency, cost reduction, safety, and resource conservation. Based on this work, this paper makes the following conclusions: (1) The mechanical shaft sinking method offers advantages such as small footprint, high mechanization, minimal environmental impact, and cost-effectiveness. The achievements include a 22.22% reduction in construction time, a 20.27% decrease in investment, and lower worker risk. (2) Monitoring confirmed that all cutting edge and segment values remained safe, demonstrating the method’s feasibility and rationality. (3) Analyzing shaft monitoring data and field uncertainties, this study proposes recommendations for future work, including precise segment lowering control and introducing high-precision total stations and GPS technology to mitigate tunneling and assembly inaccuracies. The research validates the mechanical shaft sinking scheme’s scientific and logical nature, ensuring safety and contributing to technological advancements. It offers practical insights, implementable suggestions, and significant economic benefits, reducing project investment by RMB 41,235,600. This sets a benchmark for subway excavation projects in South China and beyond, providing reliable reference values. Furthermore, the findings provide valuable insights and guidance for industry peers, enhancing overall efficiency and sustainable development in subway construction. Full article
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<p>Subway pit collapse with extensive damage: (<b>a</b>) Singapore MRT foundation pit; (<b>b</b>) Nanning Greenland deep foundation pit.</p>
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<p>Construction area surrounding environment and formation conditions. (<b>a</b>) Surrounding environment of construction site; (<b>b</b>) geological condition.</p>
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<p>The mechanical shaft excavation system: (<b>a</b>) overall schematic diagram of mechanical shaft machine; (<b>b</b>) the shaft excavation machine; (<b>c</b>) settlement System; (<b>d</b>) separation plant.</p>
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<p>Mechanical shaft sinking method construction process: (<b>a</b>) cutting edge positioning; (<b>b</b>) 0-ring segment splicing; (<b>c</b>) shaft excavation machine installation; (<b>d</b>) underwater grouting.</p>
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<p>Construction process and method.</p>
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<p>Shaft sinking method and schematic diagram of the sinking system.</p>
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<p>JTM-MCU automated data.</p>
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<p>Crack gauge monitoring.</p>
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<p>Segment and cutting edge stress and strain monitoring: (<b>a</b>) segment sensor layout; (<b>b</b>) cutting edge sensor layout.</p>
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<p>Cutting edge force monitoring: (<b>a</b>) cutting edge slope contact soil pressure; (<b>b</b>) cutting edge steel plate strain.</p>
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<p>Contact soil pressure of fifth ring segment: (<b>a</b>) ring joint contact soil pressure; (<b>b</b>) longitudinal joint contact soil pressure.</p>
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<p>Concrete strain of fifth ring segment: (<b>a</b>) segment longitudinal concrete strain; (<b>b</b>) segment circumferential concrete strain.</p>
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<p>The opening width of fifth ring segment: (<b>a</b>) the opening width of segment ring joint; (<b>b</b>) the opening width of segment longitudinal joint.</p>
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18 pages, 10545 KiB  
Article
Assessing the Spatial Efficiency of Xi’an Rail Transit Station Areas Using a Data Envelopment Analysis (DEA) Model
by Haiyan Tong, Quanhua Hou, Xiao Dong, Yaqiong Duan, Weiming Gao and Kexin Lei
Appl. Sci. 2025, 15(1), 384; https://doi.org/10.3390/app15010384 - 3 Jan 2025
Viewed by 340
Abstract
To effectively and objectively evaluate the spatial efficiency of rail transit station areas, seventeen typical rail station areas in Xi’an were selected as the research object. An evaluation system for spatial efficiency was constructed based on data from field research, satellite images, Baidu [...] Read more.
To effectively and objectively evaluate the spatial efficiency of rail transit station areas, seventeen typical rail station areas in Xi’an were selected as the research object. An evaluation system for spatial efficiency was constructed based on data from field research, satellite images, Baidu heat maps, and station passenger flow statistics. Key factors such as land use, transportation systems, social aspects, and spatial efficiency are considered in the framework. A data envelopment analysis (DEA) method was used to evaluate the spatial efficiency of these sample station areas. The results are as follows. ① An incomplete symmetric relationship exists between the Constant Returns to Scale Technical Efficiency (Crste) and the Variable Returns to Scale Technical Efficiency (Vrste) of station area spatial efficiency. The keys to improving station area spatial efficiency include reducing redundant resource investments and establishing a rational resource allocation structure. ② For high-efficiency station areas, the Crste and Vrste are relatively high, with an overall increasing return to scale efficiency (Scale). In medium-efficiency station areas, the Crste is relatively high, but either Vrste or Scale is low. In low-efficiency station areas, the Crste is moderate, and both Vrste and Scale are low. The findings provide a reference for the intensive use of land around Xi’an rail stations, as well as support for the sustainable operation of rail transit. Full article
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<p>Research object and scope.</p>
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<p>Diagram of the research framework.</p>
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<p>Construction of the evaluation indicator system.</p>
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<p>Histograms of input and output indicators.</p>
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<p>Spatial efficiency values of seventeen rail transit station areas calculated using the BCC and SBM super-efficiency models based on full-factor indexes.</p>
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<p>Input and output redundancy for seventeen rail transit station areas using BCC and SBM super-efficiency models based on full-factor indexes.</p>
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<p>Spatial efficiency values for seventeen rail transit station areas with reduced dimensionality, calculated using the BCC and SBM super-efficiency models.</p>
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<p>Input and output redundancy of seventeen rail transit station areas with reduced dimensionality based on BCC and SBM super-efficiency models.</p>
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<p>Efficiency gradient map.</p>
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<p>Classification and analysis of Vrste and Scale.</p>
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19 pages, 20606 KiB  
Article
Multi-Sensor Instrument for Aerosol In Situ Measurements
by Ilya Bruchkouski, Artur Szkop, Jakub Wink, Justyna Szymkowska and Aleksander Pietruczuk
Atmosphere 2025, 16(1), 42; https://doi.org/10.3390/atmos16010042 - 2 Jan 2025
Viewed by 301
Abstract
A short comparison campaign took place at the Racibórz measurement site in May 2024 to assess the consistency of the Integrated Aerosol Monitoring Unit (IAMU), which houses three PM aerosol sensors (SPS30, OPC-N3, and OPS 3330) within a single enclosure. This assessment was [...] Read more.
A short comparison campaign took place at the Racibórz measurement site in May 2024 to assess the consistency of the Integrated Aerosol Monitoring Unit (IAMU), which houses three PM aerosol sensors (SPS30, OPC-N3, and OPS 3330) within a single enclosure. This assessment was supported by simultaneous measurements from two reference instruments (APS 3321 and SMP S3082), along with auxiliary observations from a ceilometer and meteorological station. To enhance particle transmission efficiency to the IAMU sensors, aerodynamic modeling of the inlet pipes was performed, accounting for particle density and diameter. The primary objective of this study was to evaluate the feasibility of using the IAMU, in conjunction with optimized inlet designs, for PM monitoring under varying ambient relative humidity and sensor temperature conditions. IAMU measurements have shown large absolute differences in PM values (exceeding one order of magnitude) with moderate (>0.54 for PM10) to high (>0.82 for PM2.5 and PM1) temporal correlations. A calibration method was proposed, using reference instrument data and incorporating sensor temperature and air sample humidity information. The IAMU, combined with the developed calibration methodology, enabled the estimation of the aerosol growth factor, deliquescence point (RH ≈ 65%), and PM1 hygroscopic parameter κ (0.27–0.56) for an industrial region in Poland. Full article
(This article belongs to the Section Aerosols)
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<p>Modeled air velocity distribution in the sampling head (<b>a</b>); main dimensions in mm (<b>b</b>); CAD model of inlet pipe configuration (<b>c</b>); modeled field of horizontal air velocity (<b>d</b>); and cross-sectional view (A-A) of horizontal velocity field near the inlet (<b>e</b>).</p>
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<p>IAMU sensors: (<b>a</b>) CAD model of SPS30 sensor with connection unit (transparent); (<b>b</b>) Common enclosure view: 1—OPC-N3, 2—SPS30, 3—OPS3330, 4—Raspberry Pi 3B; (<b>c</b>) SPS30 and OPC-N3: Connection schematic and data transmission.</p>
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<p>Integrated Aerosol Monitoring Unit (IAMU) during comparison campaign in Racibórz: (<b>a</b>) IAMU; (<b>b</b>) Common view of IAMU together with pipes for stationary instruments SMPS3082 and APS3321.</p>
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<p>Racibórz, 5 May 2024: The upper panel displays ceilometer data (Lufft CHM15k Nimbus), while the lower panel presents the aerosol differential volume distribution <math display="inline"><semantics> <mrow> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mrow> <mi>d</mi> <mi>V</mi> </mrow> <mrow> <mi>d</mi> <mi>l</mi> <mi>o</mi> <mi>g</mi> <msub> <mi>D</mi> <mi>p</mi> </msub> </mrow> </mfrac> </mstyle> </mrow> </semantics></math> measured by stationary instruments. The SMPS 3082 was used for particle diameters in the range of 0.01–1 µm and the APS 3321 for diameters ranging from 1 to 10 µm.</p>
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<p>Transmission efficiency of the inlet pipe for eleven aerosol size fractions under varying horizontal wind velocities: (<b>a</b>) pump flow rate of 0.125 L/min; (<b>b</b>) pump flow rate of 0.5 L/min; (<b>c</b>) pump flow rate of 1.0 L/min.</p>
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<p>Series of in situ PM<sub>x</sub> measurements by IAMU sensors; aerosol differential volume distribution <math display="inline"><semantics> <mrow> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mrow> <mi>d</mi> <mi>V</mi> </mrow> <mrow> <mi>d</mi> <mi>l</mi> <mi>o</mi> <mi>g</mi> <msub> <mi>D</mi> <mi>p</mi> </msub> </mrow> </mfrac> </mstyle> </mrow> </semantics></math>, measured by the stationary instruments SMPS 3082 and APS 3321; temperature from OPC-N3 sensor together with relative humidity (RH) data.</p>
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<p>PM<sub>x</sub> values measured by SPS30, OPC-N3, and OPS 3330 instruments, compared to values from reference size spectrometers (SMPS 3082 and APS 3321) for different RH values.</p>
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<p>GF values calculated for PM<sub>1</sub>, PM<sub>2.5</sub>, and PM<sub>10</sub>, measured by the SPS30, OPC-N3, and OPS 3330 sensors, are compared with values obtained from reference size spectrometers (SMPS 3082 and APS 3321) at different RH levels.</p>
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<p>GF values calculated for the OPS 3330, OPC-N3, and SPS30 sensors, including bi-linear fitting and the deliquescence relative humidity point (DRH).</p>
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<p>Comparison of GF in situ measurements for PM<sub>1</sub>, PM<sub>2.5</sub>, and PM<sub>10</sub>, by the SPS30, OPC-N3, and OPS 3330 sensors, with values obtained from reference instruments (SMPS 3082 and APS 3321) at different RH levels. Fitting is performed according to Equation (10).</p>
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16 pages, 9670 KiB  
Article
Performance of Network Real-Time Kinematic in Hydrographic Surveying
by Mohamed Elsayed Elsobeiey
J. Mar. Sci. Eng. 2025, 13(1), 61; https://doi.org/10.3390/jmse13010061 - 1 Jan 2025
Viewed by 460
Abstract
The main objective of this paper is to investigate the performance of the Network Real-time Kinematic (NRTK) technique in hydrographic surveying and check whether it meets the International Hydrography Organization (IHO) minimum bathymetry standards for the safety of navigation hydrographic surveys. To this [...] Read more.
The main objective of this paper is to investigate the performance of the Network Real-time Kinematic (NRTK) technique in hydrographic surveying and check whether it meets the International Hydrography Organization (IHO) minimum bathymetry standards for the safety of navigation hydrographic surveys. To this end, the KAU-Hydrography 2 vessel was used to conduct a hydrographic survey session at Sharm Obhur. NRTK corrections were streamed in real time from the KSA-CORS NTRIP server and GNSS data were collected at the same time at the base station using a Trimble SPS855 GNSS receiver. Multibeam records were collected using a Teledyne RESON SeaBat T50-P multibeam echosounder in addition to Valeport’s sound velocity profiler records and Applanix POSMV data. Applanix POSPac MMS 8.3 software was used to process the GNSS data of the base station along with the POSMV data to obtain the Smoothed Best Estimate of Trajectory (SBET) file, which is used as a reference solution. The NRTK solution is then compared with the reference solution. It is shown that the Total Horizontal Uncertainty (THU) and the Total Vertical Uncertainty (TVU) of the NRTK solution are 6.38 cm and 3.10 cm, respectively. Statistical analysis of the differences between the seabed surface generated using the NRTK solution and the seabed surface generated using the Post-Processed Kinematic (PPK) technique showed an average of −0.19 cm and a standard deviation of 2.4 cm. From these results, we can conclude that the KSA-CORS NRTK solution successfully meets IHO minimum bathymetry standards for the safety of navigation hydrographic surveys at a 95% confidence level for all orders of hydrographic surveys. Full article
(This article belongs to the Special Issue Global Navigation Satellite System for Maritime Applications)
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<p>Different NRTK techniques.</p>
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<p>KSA-CORS network.</p>
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<p>KAU-Hydrography 2 vessel.</p>
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<p>Tightly coupled GNSS/INS integration.</p>
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<p>Field test trajectory.</p>
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<p>NRTK positioning errors.</p>
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<p>NRTK 2-D and up positioning errors.</p>
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<p>Bathymetry of the survey area.</p>
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<p>Differences between PPK and NRTK bathymetry.</p>
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19 pages, 3368 KiB  
Article
Comprehensive Evaluation Method for Electric Vehicle Charging Network Service Quality Considering User Satisfaction
by Shukang Lyu, Yi Pan, Huiyu Miao, Xiaodong Yuan and Fei Zeng
World Electr. Veh. J. 2025, 16(1), 17; https://doi.org/10.3390/wevj16010017 - 30 Dec 2024
Viewed by 439
Abstract
With the rapid development of the electric vehicle (EV) industry, various issues, such as the suboptimal deployment of charging facilities and inadequate distribution, hinder improvements in user satisfaction with EVs. Moreover, the interests of multiple stakeholders, including power grid companies and transportation departments, [...] Read more.
With the rapid development of the electric vehicle (EV) industry, various issues, such as the suboptimal deployment of charging facilities and inadequate distribution, hinder improvements in user satisfaction with EVs. Moreover, the interests of multiple stakeholders, including power grid companies and transportation departments, are not sufficiently addressed. To tackle these challenges, this paper proposes a comprehensive evaluation method for EV charging network service quality that integrates user satisfaction. First, considering the coupled dynamics of the EV charging network, we construct a service quality evaluation index system. Then, using a combination of the entropy weight method (EWM) and the analytic hierarchy process (AHP) with game theory, we determine the composite weights for the index system. Finally, we use the improved R-method evaluation model to theoretically verify the charging network in a particular area. The results show that the evaluation method proposed in this paper realizes differentiated evaluation for different planning schemes, highlights the weak links in the operation process of the charging network, and provides a theoretical reference for decision making about charging station planning. Full article
(This article belongs to the Special Issue Smart Charging Strategies for Plug-In Electric Vehicles)
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<p>Electric vehicle charging network service quality index system.</p>
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<p>The framework of the evaluation model.</p>
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<p>The coupling system of the transportation network and distribution network.</p>
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<p>The number of electric vehicles in each period of summer weekend at each charging station.</p>
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<p>Traffic performance index variations of the summer weekend and winter weekend.</p>
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<p>Voltage distribution before and after the charging load is connected on the summer weekend.</p>
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<p>Voltage distribution before and after the charging load is connected on the winter weekends.</p>
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<p>Comprehensive evaluation score.</p>
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19 pages, 13506 KiB  
Article
Research on Indoor Multi-Scene Base Station Deployment Method Based on HDOP
by Shuaichen Li, Jianfeng Wu and Xiaoyan Liu
Electronics 2025, 14(1), 113; https://doi.org/10.3390/electronics14010113 - 30 Dec 2024
Viewed by 355
Abstract
In indoor positioning scenarios, the deployment of base stations plays a crucial role in the accuracy of positioning information. In recent years, how to reasonably deploy base stations to reduce HDOP (horizontal dilution of precision) has become a hot topic in the field [...] Read more.
In indoor positioning scenarios, the deployment of base stations plays a crucial role in the accuracy of positioning information. In recent years, how to reasonably deploy base stations to reduce HDOP (horizontal dilution of precision) has become a hot topic in the field of indoor positioning research. Currently, most research focuses only on HDOP in a specific indoor scenario and is often limited to simulation experiments, leaving room for further investigation. This paper conducts research on HDOP in multiple scenarios based on measured data. Firstly, the theoretical minimum value of HDOP is calculated for different numbers of base stations. Then, the relationship among the number of base stations, deployment methods, and HDOP is studied. Finally, an experimental platform is set up to analyze the relationship between HDOP and positioning errors based on measured data. The experimental results are as follows: (1) in simulated experiments in circular scenarios, the optimal deployment method entails evenly distributing the base stations around the circumference, with the deployment of an additional base station possibly reducing the average HDOP by about 10%, (2) in rectangular scenarios, the optimal deployment method entails evenly deploying the base stations along the two long sides. Measured data show that positioning errors are roughly proportional to the HDOP, but there are exceptions, and the reasons are analyzed. This research provides reference and support for the deployment of base stations in multi-scene indoor positioning systems. Full article
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<p>Relationship between the HDOP theoretical minimum and number of base stations.</p>
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<p>CDF diagram of different station layout methods for five base stations in the circular area.</p>
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<p>HDOP associated with method 1 for the layout of five base stations.</p>
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<p>HDOP associated with method 2 for the layout of five base stations.</p>
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<p>CDF diagram of different station layout methods for six base stations in a circular area.</p>
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<p>HDOP diagram of deployment method 1.</p>
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<p>HDOP diagram of deployment method 2.</p>
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<p>HDOP for the first method of deployment.</p>
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<p>HDOP for the second method of deployment.</p>
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<p>HDOP for the third method of deployment.</p>
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<p>HDOP for the fourth method of deployment.</p>
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<p>CDF for different deployment methods of the six base stations.</p>
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<p>HDOP of the first layout method for the ‘L’-shaped scene.</p>
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<p>HDOP of the second layout method for the ‘L’-shaped scene.</p>
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<p>Schematic diagram of the test scene.</p>
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<p>HDOP distribution chart for combination 1.</p>
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<p>HDOP distribution chart for combination 2.</p>
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<p>HDOP distribution chart for combination 3.</p>
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<p>HDOP distribution chart for combination 4.</p>
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<p>HDOP distribution chart for combination 5.</p>
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<p>HDOP distribution chart for combination 6.</p>
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<p>CDF chart for different combination methods.</p>
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<p>CDF plot of positioning errors for different combination methods.</p>
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14 pages, 838 KiB  
Article
Cardiovascular Disease Screening in Primary School Children
by Alena Bagkaki, Fragiskos Parthenakis, Gregory Chlouverakis, Emmanouil Galanakis and Ioannis Germanakis
Children 2025, 12(1), 38; https://doi.org/10.3390/children12010038 - 29 Dec 2024
Viewed by 431
Abstract
Background: Screening for cardiovascular disease (CVD) and its associated risk factors in childhood facilitates early detection and timely preventive interventions. However, limited data are available regarding screening tools and their diagnostic yield when applied in unselected pediatric populations. Aims: To evaluate the performance [...] Read more.
Background: Screening for cardiovascular disease (CVD) and its associated risk factors in childhood facilitates early detection and timely preventive interventions. However, limited data are available regarding screening tools and their diagnostic yield when applied in unselected pediatric populations. Aims: To evaluate the performance of a CVD screening program, based on history, 12-lead ECG and phonocardiography, applied in primary school children. Methods: The methods used were prospective study, with voluntary participation of third-grade primary school children in the region of Crete/Greece, over 6 years (2018–2024). Personal and family history were collected by using a standardized questionnaire and physical evaluation (including weight, height, blood pressure measurement), and cardiac auscultation (digital phonocardiography (PCG)) and 12-lead electrocardiogram (ECG) were recorded at local health stations (Phase I). Following expert verification of responses and obtained data, assisted by designated electronic health record with incorporated decision support algorithms (phase II), pediatric cardiology evaluation at the tertiary referral center followed (phase III). Results: A total of 944 children participated (boys 49.6%). A total of 790 (83.7%) had Phase I referral indication, confirmed in 311(32.9%) during Phase II evaluation. Adiposity (10.8%) and hypertension (3.2%) as risk factors for CVD were documented in 10.8% and 3.2% of the total population, respectively. During Phase III evaluations (n = 201), the majority (n = 132, 14% of total) of children were considered as having a further indication for evaluation by other pediatric subspecialties for their reported symptoms. Abnormal CVD findings were present in 69 (7.3%) of the study population, including minor/trivial structural heart disease in 23 (2.4%) and 17 (1.8%), respectively, referred due to abnormal cardiac auscultation, and ECG abnormalities in 29 (3%), of which 6 (0.6%) were considered potentially significant (including 1 case of genetically confirmed channelopathy-LQT syndrome). Conclusions: CVD screening programs in school children can be very helpful for the early detection of CVD risk factors and of their general health as well. Expert cardiac auscultation and 12-lead ECG allow for the detection of structural and arrhythmogenic heard disease, respectively. Further study is needed regarding performance of individual components, accuracy of interpretation (including computer assisted diagnosis) and cost-effectiveness, before large-scale application of CVD screening in unselected pediatric populations. Full article
(This article belongs to the Section Pediatric Cardiology)
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<p>Flow diagram. CVD screening in primary school children. Referral indications and final diagnoses.</p>
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15 pages, 1582 KiB  
Article
The Atmospheric Deposition of Polycyclic Aromatic Hydrocarbons in the Metropolitan City of Rome in the Year 2022/2023
by Giuseppe Ianiri, Gaetano Settimo, Maria Eleonora Soggiu, Marco Inglessis, Sabrina Di Giorgi and Pasquale Avino
Atmosphere 2025, 16(1), 20; https://doi.org/10.3390/atmos16010020 - 27 Dec 2024
Viewed by 456
Abstract
The measurement of atmospheric deposition fluxes is an excellent tool for assessing the contamination of territory and the subsequent exposure of the population to major contaminants through the food chain. In this context, the aim of this study was to measure the polycyclic [...] Read more.
The measurement of atmospheric deposition fluxes is an excellent tool for assessing the contamination of territory and the subsequent exposure of the population to major contaminants through the food chain. In this context, the aim of this study was to measure the polycyclic aromatic hydrocarbon (PAH) deposition fluxes in the city of Rome (ISS Station) during the year 2022/2023 at two different heights above the ground (vertical profile), in order to evaluate the influence that the vertical profile has on PAH deposition. Two measuring positions were identified, one at street level and one at a height of 20 m. The collection of bulk atmospheric depositions was carried out approximately every 30 days, and the PAHs were determined according to the indications given in ISTISAN Report 06/38 and Standard UNI EN 15980:2011. The results show that throughout the year, the deposition rates of settleable dust were always higher at the lower (annual average of 48.5 mg m−2 day−1) collection position than at the higher position (annual average of 17.5 mg m−2 day−1). Despite this difference, the concentrations and profiles of the main PAHs analyzed, as indicated in EU Directive 2024/2881, in the dust collected at the two positions were almost similar, showing that the vertical profile did not influence the composition and concentration of PAHs in the collected settleable dust. Furthermore, a comparison of the deposition rates of sedimentable dust and PAHs with the legislative references currently present in Europe was made, highlighting that in the city of Rome during the monitoring period of this study, the values of dust and PAHs were lower than the limit and guide values and were also in line with other Italian urban locations. Full article
(This article belongs to the Special Issue Urban Air Pollution Exposure and Health Vulnerability)
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<p>(<b>a</b>) REL 1 at street level in REL; (<b>b</b>) REL 2 placed 20 m higher than REL 1; (<b>c</b>) ISS building: the number 1 corresponds to REL 1, and the number 2 corresponds to REL 2.</p>
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<p>SPM trends during the sampling periods at REL 1 and REL 2.</p>
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<p>Total PAH and BaP (ng m<sup>−2</sup> d<sup>−1</sup>) trends during the sampling periods at REL 1 and REL 2.</p>
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<p>Total PAHs in SPM (ng g<sup>−1</sup>) during the sampling periods at REL 1 and REL 2.</p>
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<p>(<b>a</b>) Pearson correlation graph for SPM (mg m<sup>−2</sup> d<sup>−1</sup>) between REL 1 and REL 2; (<b>b</b>) Pearson correlation graph for total PAHs in SPM (ng g<sup>−1</sup>) between REL 1 and REL 2.</p>
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24 pages, 1905 KiB  
Systematic Review
Strategies for Reducing Suicide at Railroads: A Scoping Review of Evidence and Gaps
by Pooja Belur, Patrick Sherry, Ivan Rodriguez, Chetan Kurkure and Shashank V. Joshi
Int. J. Environ. Res. Public Health 2025, 22(1), 18; https://doi.org/10.3390/ijerph22010018 - 27 Dec 2024
Viewed by 542
Abstract
This review aims to systematically evaluate existing literature on reducing suicides along railroads, with specific focus on effectiveness, limitations, and research gaps in the current evidence base. Database searches were conducted in PubMed, PsycInfo, Scopus, Embase, and CINAHL covering studies published until 30 [...] Read more.
This review aims to systematically evaluate existing literature on reducing suicides along railroads, with specific focus on effectiveness, limitations, and research gaps in the current evidence base. Database searches were conducted in PubMed, PsycInfo, Scopus, Embase, and CINAHL covering studies published until 30 November 2024. After screening 623 studies and their references, 51 studies were included; 26 empirically assessed rail-related prevention interventions and 25 provided relevant qualitative insights. Physical barriers like removal of grade crossings, addition of fencing, and platform screen doors (PSDs) showed significant promise. Full-height PSDs eliminated all suicides and half-height PSDs significantly reduced suicide incidence. Fencing was found to be effective but raised concerns about feasibility and must be part of a comprehensive approach to mitigate potential displacement. Safe media reporting was linked to decreased suicides and a reduced risk of contagion, and CCTV monitoring and suicide pits also showed potential but had limited research. Other strategies showed mixed evidence and required additional evaluation. Some studies, particularly on physical barriers, showed possible displacement effects to other stations, highlighting the need for studies larger in geographic and temporal scope. Our findings support certain prevention interventions, but generalizability is limited by scope of research and methodological concerns. Overall, our findings highlight the need for broader, long-term studies to confirm efficacy and establish comprehensive, scalable approaches for policy implementation. Full article
(This article belongs to the Section Health Care Sciences)
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<p>PRISMA flowchart illustrating the identification and screening process for the literature review on prevention strategies related to railways.</p>
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<p>Distribution of 26 studies related to railways across ten countries.</p>
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<p>Histogram of publication years for the 26 evaluated manuscripts on prevention strategies related to railways.</p>
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<p>Histogram of average year of intervention implementation for 26 included studies.</p>
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18 pages, 1623 KiB  
Article
Enhanced Stochastic Models for VLBI Invariant Point Estimation and Axis Offset Analysis
by Chang-Ki Hong and Tae-Suk Bae
Remote Sens. 2025, 17(1), 43; https://doi.org/10.3390/rs17010043 - 26 Dec 2024
Viewed by 351
Abstract
The accuracy and stability of Very Long Baseline Interferometry (VLBI) systems are essential for maintaining global geodetic reference frames such as the International Terrestrial Reference Frame (ITRF). This study focuses on the precise determination of the VLBI Invariant Point (IVP) and the detection [...] Read more.
The accuracy and stability of Very Long Baseline Interferometry (VLBI) systems are essential for maintaining global geodetic reference frames such as the International Terrestrial Reference Frame (ITRF). This study focuses on the precise determination of the VLBI Invariant Point (IVP) and the detection of antenna axis offset. Ground-based surveys were conducted at the Sejong Space Geodetic Observatory using high-precision instruments, including total station, to measure slant distances, as well as horizontal and vertical angles from fixed pillars to reflectors attached to the VLBI instrument. The reflectors comprised both prisms and reflective sheets to enhance redundancy and data reliability. A detailed stochastic model incorporating variance component estimation was employed to manage the varying precision of the observations. The analysis revealed significant measurement variability, particularly in slant distance measurements involving prisms. Iterative refinement of the variance components improved the reliability of the IVP and antenna axis offset estimates. The study identified an antenna axis offset of 5.6 mm, which was statistically validated through hypothesis testing, confirming its significance at a 0.01 significance level. This is a significance level corresponding to approximately a 2.576 sigma threshold, which represents a 99% confidence level. This study highlights the importance of accurate stochastic modeling in ensuring the precision and reliability of the estimated VLBI IVP and antenna axis offset. Additionally, the results can serve as a priori information for VLBI data analysis. Full article
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<p>Schematic representation of the antenna axis offset <span class="html-italic">h</span> and IVP, with the left panel showing a 2D projection of the offset and the right panel illustrating the 3D conical paths traced by the reflectors during antenna rotation.</p>
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<p>Flowchart of the methodology adopted in this study.</p>
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<p>Site map of the Sejong VLBI station. The pillars, labeled as ‘VP’, surround the VLBI antenna, while the GNSS station (SEJN) is situated nearby.</p>
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<p>Locations of prisms (1–7) and reflective sheets (8–15) attached on the VLBI instrument.</p>
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<p>Ground surveying for measuring slant distance, horizontal and vertical angles from the pillar to the reflector.</p>
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<p>Convergence rate of the estimated variance components.</p>
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17 pages, 3460 KiB  
Article
Research on Flood Storage and Disaster Mitigation Countermeasures for Floods in China’s Dongting Lake Area Based on Hydrological Model of Jingjiang–Dongting Lake
by Wengang Zhao, Weizhi Ji, Jiahu Wang, Jieyu Jiang, Wen Song, Zaiai Wang, Huizhu Lv, Hanyou Lu and Xiaoqun Liu
Water 2025, 17(1), 1; https://doi.org/10.3390/w17010001 - 24 Dec 2024
Viewed by 343
Abstract
China’s Dongting Lake area is intertwined with rivers and lakes and possesses many water systems. As such, it is one of the most complicated areas in the Yangtze River Basin, in terms of the complexity of its flood control. Over time, siltation and [...] Read more.
China’s Dongting Lake area is intertwined with rivers and lakes and possesses many water systems. As such, it is one of the most complicated areas in the Yangtze River Basin, in terms of the complexity of its flood control. Over time, siltation and reclamation in the lake area have greatly weakened the river discharge capacity of the lake area, and whether it can endure extreme floods remains an open question. As there is no effective scenario simulation model for the lake area, this study constructs a hydrological model for the Jingjiang–Dongting Lake system and verifies the model using data from 11 typical floods occurring from 1954 to 2020. The parameters derived from 2020 data reflect the latest hydrological relationship between the lake and the river, while meteorological data from 1954 and 1998 are used as inputs for various scenarios with the aim of evaluating the flood pressure of the lake area, using the water levels at the Chengglingji and Luoshan stations as indicators. The preliminary results demonstrate that the operation of the upstream Three Gorges Dam and flood storage areas cannot completely offset the flood pressure faced by the lake area. Therefore, the reinforcement and raising of embankments should be carried out, in order to cope with potential extreme flood events. The methodology and results of this study have reference value for policy formation, flood control, and assessment and dispatching in similar areas. Full article
(This article belongs to the Special Issue Advances in Ecohydrology in Arid Inland River Basins)
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<p>Map of the study area’s location.</p>
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<p>Flowchart of the CREST Model. (PE: rainfall minus evapotranspiration capacity; IM: impermeability factor; Ec: canopy evaporation; Th: thresholds for delineation of slopes and channels; other symbols are customary in hydrological modelling).</p>
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<p>Correlations between water levels at Hankou and Lianhuatang stations before and after the operation of the Three Gorges Dam.</p>
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<p>Relationships between the highest water levels at various control stations and the warning and control water levels during high flood years.</p>
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<p>Comparisons of simulated and observed water levels and flow rates for typical years at Luoshan station.</p>
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<p>Comparisons of simulated and observed water levels and flow rates for typical years at Luoshan station.</p>
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15 pages, 10248 KiB  
Article
Flow-Induced Fatigue Damage of Large Francis Turbines Under Multiple Operating Loads
by Pinghu Liu, Xingxing Huang, Tianyu Yang and Zhengwei Wang
Appl. Sci. 2024, 14(24), 12003; https://doi.org/10.3390/app142412003 - 21 Dec 2024
Viewed by 611
Abstract
The Francis runner is a critical component of the Francis turbine generator unit, playing a central role in converting water energy into rotating mechanical energy that drives the generator in hydropower stations. In-depth analyses of the flow characteristics of the Francis runner under [...] Read more.
The Francis runner is a critical component of the Francis turbine generator unit, playing a central role in converting water energy into rotating mechanical energy that drives the generator in hydropower stations. In-depth analyses of the flow characteristics of the Francis runner under various operating conditions and avoiding fatigue damage of the Francis runner are crucial to the reliability and efficiency of hydropower operation. In this paper, the flow dynamics of a large Francis turbine runner are analyzed under three representative loading conditions—low partial load, high partial load, and full load—and the flow-induced stress of the runner is analyzed under these loading conditions. It was found that the maximum static and dynamics stresses of the runner at three representative loading conditions are located at the chamfered surface where the blade trailing edge connects to the runner crown. The maximum static stresses of the Francis runner are 284 MPa, 352 MPa, and 381 MPa at low partial load, high partial load, and full load, respectively, and they are above the allowable stress limits, as half of the yield stress of the runner material of 550 MPa. The peak-to-peak values of runner dynamic stress at low partial load, high partial load, and full load are 15 MPa, 25 MPa, and 14.6 MPa, respectively. The high stress invoked by the unsteady flow under various loading conditions in this runner was the cause of the fatigue breakage of the runner blades. The results of this investigation have important reference values for mitigating fatigue damage in similar Francis runners and optimizing unit operation. Full article
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<p>Runner blade damage of the investigated Francis turbine.</p>
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<p>Flow domain model of the Francis turbine unit.</p>
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<p>Flow domain mesh of the Francis turbine unit.</p>
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<p>Mesh of the flow passages of the spiral case and stay vanes, guide vanes, and draft tube of the Francis turbine unit.</p>
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<p>Normalized pressure distribution of the Francis unit at LPL.</p>
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<p>Normalized flow velocity distribution of the Francis unit at LPL.</p>
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<p>Normalized pressure distribution of the Francis unit at HPL.</p>
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<p>Normalized flow velocity distribution of the Francis unit at HPL.</p>
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<p>Normalized pressure distribution of the Francis unit at FL.</p>
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<p>Normalized flow velocity distribution of the Francis unit at FL.</p>
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<p>FE calculation model of the turbine runner.</p>
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<p>Stress of the runner.</p>
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