Ground water最新文献

The Aqueducts and Water Supply of Ancient Jerusalem. 古耶路撒冷的水渠和供水。

Ground water Pub Date : 2025-06-23 DOI: 10.1111/gwat.70000

David Deming

引用次数: 0

Society News. 社会新闻。

Ground water Pub Date : 2025-06-19 DOI: 10.1111/gwat.70001

Mike Price

引用次数: 0

Spatiotemporal Differences of Groundwater Recovery in North China Plain Using GRACE and Well Data. 基于GRACE和井资料的华北平原地下水采收率时空差异研究

Ground water Pub Date : 2025-06-11 DOI: 10.1111/gwat.13497

Hao Zhang, Linsong Wang, Zhenran Peng, Linbing Hu

{"title":"Spatiotemporal Differences of Groundwater Recovery in North China Plain Using GRACE and Well Data.","authors":"Hao Zhang, Linsong Wang, Zhenran Peng, Linbing Hu","doi":"10.1111/gwat.13497","DOIUrl":"https://doi.org/10.1111/gwat.13497","url":null,"abstract":"The long-term depletion of groundwater storage (GWS) in the North China Plain (NCP) has recovered recently, but the spatiotemporal characteristics of this recovery and its driving factors are still unclear. For this study, we estimated the GWS in the NCP using data from the Gravity Recovery and Climate Experiment (GRACE) and its Follow-On mission (GRACE-FO) and in situ well measurements. We quantified the spatiotemporal characteristics and the drivers for the transition from long-term GWS depletion to its rapid recovery in the NCP. To identify the turning point of the GWS recovery time, we used the Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) method combined with the Bayesian Estimator of Abrupt Change, Seasonality, and Trend (BEAST) algorithm. The result shows that the GWS recovery in the southern NCP (February 2020 to October 2020) occurred earlier than in the northern NCP (November 2020 to August 2021). The GWS recovery was detected 7 months earlier in in situ wells compared with satellite data. This discrepancy is attributable to the differences in the data resolution between the spatial and in situ well measurements, as well as the more drastic response of in situ wells to groundwater changes. Both precipitation and the South-to-North Water Diversion (SNWD) project affected GWS recovery, leading to the observed spatiotemporal differences. The contributions to annual GWS changes (i.e., annual ΔGWS) from climatic and human factors were further quantified. Our results indicate that climate was the dominant driver, accounting for 87.63% of the annual ΔGWS in the NCP, while human activities contributed 12.37%.","PeriodicalId":94022,"journal":{"name":"Ground water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144268241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Saline Groundwater for Aquaculture: An Expanding Hydrogeological and Hydrogeophysical Frontier. 用于水产养殖的含盐地下水：不断扩大的水文地质和水文地球物理前沿。

Ground water Pub Date : 2025-06-09 DOI: 10.1111/gwat.13496

Barret L Kurylyk

引用次数: 0

Collaborative Science for Groundwater Biodiversity Conservation. 地下水生物多样性保护协同科学研究。

Ground water Pub Date : 2025-06-06 DOI: 10.1111/gwat.13495

Mattia Saccò, Xander Huggins, Alejandro Martínez, Robert Reinecke

引用次数: 0

Microplastic Pollution Characteristics and Risk Assessment in Groundwater of Chengdu, China. 成都市地下水微塑料污染特征及风险评价

Ground water Pub Date : 2025-05-26 DOI: 10.1111/gwat.13491

Juan Chen, Ping Wang, Pengjie Li, Xin Peng, Yong Chen, Xian Yong, Jing Huang, Yinger Deng

{"title":"Microplastic Pollution Characteristics and Risk Assessment in Groundwater of Chengdu, China.","authors":"Juan Chen, Ping Wang, Pengjie Li, Xin Peng, Yong Chen, Xian Yong, Jing Huang, Yinger Deng","doi":"10.1111/gwat.13491","DOIUrl":"https://doi.org/10.1111/gwat.13491","url":null,"abstract":"Microplastic pollution has emerged as a critical issue within the global environmental landscape. Nevertheless, our understanding of the occurrence and distribution of microplastics in groundwater systems remains limited. In this study, we examined the contamination of microplastics in groundwater across Chengdu, located in western China. The findings revealed that the concentration of microplastics varied between 7.0 and 24.0 particles/L. Microplastics measuring less than 1000 μm in size constituted the majority, with granules and fragments being the main shapes. Furthermore, the predominant polymer types included polyphenylene sulfide (PPS), polyethylene terephthalate (PET), polyethylene (PE), and polyamide (PA). The pollution load index showed that all groundwater monitoring stations were contaminated with microplastics. An assessment of the polymeric and pollution risks demonstrated a spectrum of variability, ranging from low- to high-risk levels. An increase in the abundance of microplastics and toxic polymers correlates with elevated potential ecological risk levels associated with these contaminants. This study provides novel insights into the contamination of microplastics in groundwater. The risk assessments establish a foundational baseline for future comprehensive evaluations and the formulation of effective strategies aimed at establishing groundwater quality criteria, as well as pollution control and management.","PeriodicalId":94022,"journal":{"name":"Ground water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144145199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Geochemistry at a Karst Spring Reveals Complex Stormflow Dynamics in an Eogenetic Karst Aquifer. 岩溶泉的地球化学揭示了成古岩溶含水层中复杂的雨流动力学。

Ground water Pub Date : 2025-05-14 DOI: 10.1111/gwat.13492

Patricia Spellman, Andrea Pain, Sunhye Kim, Mahnoor Kamal

{"title":"Geochemistry at a Karst Spring Reveals Complex Stormflow Dynamics in an Eogenetic Karst Aquifer.","authors":"Patricia Spellman, Andrea Pain, Sunhye Kim, Mahnoor Kamal","doi":"10.1111/gwat.13492","DOIUrl":"https://doi.org/10.1111/gwat.13492","url":null,"abstract":"The Floridan Aquifer System (FAS) is a triple porosity, eogenetic karst aquifer that contains extensive phreatic cave networks embedded in a high permeability carbonate matrix. These unique characteristics create complex flow dynamics that impact residence time distributions within the FAS, which are important to constrain for implementing effective water resource strategies. The impacts of eogenetic karst characteristics on seasonal and longer term hydrological dynamics have been previously evaluated; however, stormflow remains understudied. Our study explores stormflow dynamics at a karst spring in the eogenetic FAS after major Hurricane Idalia made landfall in August 2023. We analyze data from in-situ sensors that collect NO3-N, specific conductance, and discharge at 15-min intervals to capture potentially small changes in chemistry that could be significant. We coupled the sensor data with grab sample collection of water isotopes and major element chemistry to provide additional details on the stormflow dynamics. Our results show at least two stormflow pulses as evidenced by changes in NO3-N and confirmed geochemically; albeit the absolute changes in NO3-N for both stormflow pulses were small (<0.005 mmol). One stormflow pulse was diluted with respect to NO3-N while the other mobilized NO3-N. The stormflow pulse that is associated with mobilized NO3-N was detected for at least 19 days after the rain began from Idalia, indicating long residence times before evacuation from the cave system. Both of the detected stormflow pulses were superimposed on seasonal trends in NO3-N that are known to occur, whereby it appears storms could amplify NO3-N seasonal effects. Our results have implications for understanding complex residence times in eogenetic karst aquifers and highlight the influence of the carbonate bedrock matrix on stormflow through the FAS.","PeriodicalId":94022,"journal":{"name":"Ground water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144083032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hydraulic Response to Sea Level Rise in a Coastal Aquifer Extending under the Sea with a Cut-off Wall. 带截流墙的沿海含水层海平面上升的水力响应。

Ground water Pub Date : 2025-05-13 DOI: 10.1111/gwat.13494

Sihai Wang, Jin Xu, Wenfan Zhang, Zhenghang Yi, Hao Chen

{"title":"Hydraulic Response to Sea Level Rise in a Coastal Aquifer Extending under the Sea with a Cut-off Wall.","authors":"Sihai Wang, Jin Xu, Wenfan Zhang, Zhenghang Yi, Hao Chen","doi":"10.1111/gwat.13494","DOIUrl":"https://doi.org/10.1111/gwat.13494","url":null,"abstract":"Seawater intrusion can cause the freshwater-saltwater interface to move inland toward coastal freshwater aquifers. Sea level rise has become a significant driver of this phenomenon. Installing cut-off walls along coastal aquifers is an effective engineering measure to mitigate seawater intrusion. However, most analyses of groundwater flow under sea level rise, particularly with cut-off walls, primarily rely on numerical methods, with limited analytical approaches available. In this study, we developed mathematical models for groundwater flow induced by sea level rise, dividing the coastal aquifer into offshore and inland regions along the cut-off wall. An unknown flow function was introduced as a boundary condition at the shared boundary. Using homogenization and the finite Fourier transform method, we derived analytical solutions for the two regions separately. A global coupling solution, achieving hydraulic continuity between the two regions, was obtained by applying the collocation method at the shared boundary. The validity of the solution was confirmed through comparisons with finite difference numerical simulations. Furthermore, we analyzed the impacts of factors such as sea level rise amplitude and cut-off wall embedment depth on hydraulic changes. The results indicate that increases in the amplitude of sea level rise significantly amplify hydraulic head changes in the inland aquifers, while deeper embedment of the cut-off wall enhances its effectiveness in preventing seawater intrusion. However, the model does not consider density differences between freshwater and saltwater or the dynamics of the saltwater-freshwater interface.","PeriodicalId":94022,"journal":{"name":"Ground water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial Prediction Modeling of Geogenic Chromium in Groundwater Using Soft Computing Techniques. 基于软计算技术的地下水地源性铬空间预测建模

Ground water Pub Date : 2025-05-12 DOI: 10.1111/gwat.13488

Ata Joodavi, Hadi Sanikhani, Maysam Majidi, Parasto Baghbanan

{"title":"Spatial Prediction Modeling of Geogenic Chromium in Groundwater Using Soft Computing Techniques.","authors":"Ata Joodavi, Hadi Sanikhani, Maysam Majidi, Parasto Baghbanan","doi":"10.1111/gwat.13488","DOIUrl":"https://doi.org/10.1111/gwat.13488","url":null,"abstract":"The presence of chromium (Cr) in groundwater poses a significant threat to human health. However, the lack of testing in many wells suggests that the severity of this issue may be underestimated. In this study, various predictive models, including soft computing techniques such as gene expression programming (GEP), artificial neural networks (ANN), multivariate adaptive regression splines (MARS), and the M5 Tree model, along with random forest (RF) and multiple linear regression (MLR), were employed to estimate geogenic Cr concentrations in groundwater based on geological and geochemical parameters in northeastern Iran. A dataset of 676 Cr concentration measurements was used to train and evaluate the models. Among the methods tested, ANN demonstrated the highest predictive accuracy, followed closely by RF, which provided competitive results. GEP and MARS also showed reasonable performance, while MLR exhibited the weakest accuracy, highlighting the limitations of linear models in addressing complex geochemical processes. The ANN model identified over 600,000 individuals in the central and western regions of the study area as being at significant risk of geogenic Cr contamination in groundwater. The findings underscore the potential of advanced predictive models in groundwater quality management and their applicability in other regions with similar challenges.","PeriodicalId":94022,"journal":{"name":"Ground water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Purpose Data Worth Assessment of a Surface Water-Groundwater and Nitrogen Transport Model. 地表水-地下水和氮运移模型的多用途数据价值评价。

Ground water Pub Date : 2025-05-06 DOI: 10.1111/gwat.13490

Patrick Durney, Antoine Di Ciacca, Scott Wilson, Thomas Wöhling

{"title":"Multi-Purpose Data Worth Assessment of a Surface Water-Groundwater and Nitrogen Transport Model.","authors":"Patrick Durney, Antoine Di Ciacca, Scott Wilson, Thomas Wöhling","doi":"10.1111/gwat.13490","DOIUrl":"https://doi.org/10.1111/gwat.13490","url":null,"abstract":"Understanding which hydrological data types provide the most valuable information for models is crucial, given the limitations of data availability. This study applies data worth analysis to evaluate the impact of various observation types on predictive uncertainty in a coupled SWAT-MODFLOW-RT3D model simulating water flows and nitrate transport in a small headwater catchment in New Zealand. We assessed the worth of continuous nitrate concentrations, in-catchment flow measurements, and SkyTEM-derived groundwater levels for predicting stream flow and in-stream nitrate concentrations. Using PEST software for model calibration and linear uncertainty analysis, we determined the relative worth of different observation types. Results indicate that SkyTEM estimates of groundwater levels and continuously measured nitrate concentrations were particularly effective in reducing predictive uncertainty. This study highlights the value of integrating high-resolution SkyTEM data into models to enhance prediction accuracy for groundwater levels, stream flow, and nitrate pollution. It also demonstrates nitrate's utility as an environmental tracer, refining our understanding of surface water-groundwater interactions and solute transport in the Piako Headwaters Catchment.","PeriodicalId":94022,"journal":{"name":"Ground water","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144046304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0