Groundwater for Sustainable Development最新文献

{"title":"Hydrochemistry and isotopic characterization of water resources in Santa Rosa mining area, Ecuador","authors":"Karla Villamar-Marazita ,&nbsp;Cindy Goyburo-Chávez ,&nbsp;Priscila E. Valverde-Armas ,&nbsp;Tomas Vitvar ,&nbsp;Peter Čech ,&nbsp;Juraj Michalko ,&nbsp;Samantha Jiménez-Oyola","doi":"10.1016/j.gsd.2025.101556","DOIUrl":"10.1016/j.gsd.2025.101556","url":null,"abstract":"<div><div>This study analyzed the hydrochemical and isotopic characteristics of water resources in the Santa Rosa mining region, southern Ecuador, with the aim of understanding the processes that influence the chemical composition of water, its origin, and sources of contamination. The research focused on assessing the impact of anthropogenic activities on water quality, providing an integrated perspective of the region. Between 2022 and 2024, water samples were collected during both dry and rainy seasons. Surface water samples were taken from the Santa Rosa River and its tributaries, while groundwater samples were obtained from commercial wells within the watershed. Major ions (Ca²⁺, Mg²⁺, K⁺, Na⁺, HCO₃⁻, SO₄²⁻, Cl⁻, NO₃⁻) and isotopic content (δ¹⁸O, δ²H, δ³H, δ³⁴S-SO₄^2-, and δ¹⁸O-SO₄^2-) were analyzed. The data were analyzed using hydrochemical diagrams, multivariate statistical analysis, and geospatial analysis. The findings revealed that surface waters are characterized by Ca²⁺ - SO₄^2-- and Ca²⁺- HCO₃⁻ compositions, while groundwater was identified as Na⁺ - Cl type. The chemistry of surface water is mainly regulated by rock-water interactions, while marine evaporites dominate groundwater chemistry. Isotopes ¹⁸O and ²H suggest that the water primarily originates from meteoric sources. The source of SO₄²⁻ in surface water is attributed to atmospheric deposition and the oxidation of sulfur compounds, whereas the dissolution of evaporites is the key factor driving groundwater SO₄²⁻ concentrations. This study represents the first comprehensive hydrochemical and isotopic analysis of water resources in a mining region in Ecuador, providing crucial data for the sustainable management of water resources in areas affected by mining. The results offer a scientific basis for developing water protection and conservation strategies essential for mitigating the impacts of mining on local water quality.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"31 ","pages":"Article 101556"},"PeriodicalIF":4.9,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145681053","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}

{"title":"Navigating an impending crisis: Groundwater governance in Konya Closed Basin, Türkiye","authors":"Irem Daloğlu Çetinkaya ,&nbsp;İzel Uygur ,&nbsp;Ali Kerem Saysel","doi":"10.1016/j.gsd.2025.101540","DOIUrl":"10.1016/j.gsd.2025.101540","url":null,"abstract":"<div><div>Groundwater, a critical resource for agriculture, faces severe overexploitation globally, resulting in sustainability challenges and ecological consequences. This study examines the groundwater governance dynamics in the Konya Closed Basin (KCB), Türkiye's agricultural hub often referred to as the country's “granary.” Overexploitation in the region has led to a rapid decline in groundwater levels, nearly 30 m since the 1980s, exacerbating water scarcity, land subsidence, and environmental degradation. Combining fieldwork, stakeholder interviews, secondary data analysis, and an examination of crop pattern changes, we investigate the interplay between climate change, shifting agricultural practices, and inadequate governance structures. Our findings highlight significant shortcomings in the current governance framework, including weak enforcement, fragmented coordination, inadequate monitoring, and eroding roles of cooperatives and unions. The study underscores the urgent need for integrated governance frameworks that enhance stakeholder collaboration, prioritize demand management, and promote adaptive policies. Insights from the KCB are broadly applicable to other arid regions heavily reliant on agriculture and groundwater, providing critical lessons for mitigating overexploitation and promoting long-term sustainability.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"31 ","pages":"Article 101540"},"PeriodicalIF":4.9,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465185","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}

{"title":"Nitrate dynamics in coastal groundwater and rivers: Insights into oligotrophication management","authors":"Therese Line Laure Jokam Nenkam ,&nbsp;Jing Zhang ,&nbsp;Daisuke Komatsu ,&nbsp;Keiji Horikawa ,&nbsp;Ade S. Oktaviani","doi":"10.1016/j.gsd.2025.101536","DOIUrl":"10.1016/j.gsd.2025.101536","url":null,"abstract":"<div><div>Coastal ecosystems rely significantly on terrestrial-derived essential nutrients for primary productivity. However, efforts to reduce anthropogenic nutrient inputs to mitigate eutrophication led to coastal oligotrophication when tipping points were exceeded. In Toyama Bay, land-derived nutrients significantly enrich the euphotic zone. However, nutrient reduction policies since the 1990s have raised concerns about declining marine productivity. To investigate these trends, we studied the Kurobe River Alluvial Fan (KRAF), Japan's largest fan, focusing on nitrate (NO₃⁻) dynamics. The KRAF was selected due to its multi-water system and diverse land use influenced by the Asian Monsoon Climate, which controls its hydrological and nutrient dynamics, serving as a model for the broader Asian region. Using isotopic analyses (δ¹⁵N-NO₃^-, δ¹⁸O-NO₃^-, δ²H-H₂O, δ¹⁸O-H₂O), hydrochemical parameters, and mixing models, we examined hydrological dynamics, NO₃⁻ sources, transformation processes, and temporary storage from 35 seasonally collected water samples.</div><div>Results showed low NO₃⁻-N concentrations (0.05–1.89 mg/L), over 80 % below environmental standards, influenced by hydrological dynamics, land-use changes, and management policies. Soil and fertilisers were primary NO₃⁻ sources, highlighting the impact of water management strategies on nutrient reduction. Nitrification was dominant in lowland and riverine areas, while denitrification was primarily limited to highland paddy fields. Fresh submarine groundwater discharge (FSGD) contributed 52 %–70 % of the total NO₃⁻ flux to the sea, surpassing river contributions. Total flux of terrestrial NO₃⁻ was estimated at 347.4 ± 121.1 kg/year, a 31 % decrease compared to the 2005 estimate.</div><div>Promoting coastal agriculture can mitigate oligotrophication by slowing water flow and enhancing nutrient supply through the use of FGSD. This research employs a science-based approach to recommend sustainable nutrient management strategies. More broadly, the method can be adapted for use in other water bodies to identify NO₃⁻ sources and dynamics, thereby promoting comprehensive nutrient management and supporting the health and productivity of coastal ecosystems.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"31 ","pages":"Article 101536"},"PeriodicalIF":4.9,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416230","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}

{"title":"A multiscale soil water balance for sustainable groundwater management of a local transboundary karst aquifer","authors":"Paola Petrone ,&nbsp;Pantaleone De Vita ,&nbsp;Pasquale Allocca ,&nbsp;Silvio Coda ,&nbsp;Delia Cusano ,&nbsp;Radka Kodešová ,&nbsp;Daniele Lepore ,&nbsp;Vincenzo Allocca","doi":"10.1016/j.gsd.2025.101551","DOIUrl":"10.1016/j.gsd.2025.101551","url":null,"abstract":"<div><div>Sustainable groundwater management of transboundary aquifers (TBAs) remains a major global and regional challenge that requires necessitating enhanced, coordination and cooperation among neighboring countries and institutions. The Avella Mts. are a major karst TBA of the Campania region (Italy), providing vital groundwater resources, whose water balance equilibrium is increasingly threatened by uncontrolled growth in groundwater extraction, especially during prolonged drought periods. A multiscale soil water balance was performed for the period 2010–2021 to assess the sustainability of current groundwater withdrawals. The findings reveal a high spatio-temporal variability of groundwater recharge (GR). At the aquifer scale, average GR equals to 244.40 Mm³/y, with interannual variability of about −45 % and +73 %. At the basin scale, recharge on average varies between 29.64 Mm³/y and 100.28 Mm³/y. The springs inventory map and the register of authorized wells highlight an outgoing groundwater volume of 252.30 Mm³/y, at the aquifer scale, while at the basin scale, it varies between 6.30 Mm³/y and 97.76 Mm³/y, exceeding the recharge in certain groundwater basins. Consequently, there is a budgetary disequilibrium within the aquifer, which is particularly pronounced during drought years, as evidenced by the drying of springs and streams. These results highlight significant aquifer stress, which is projected to worsen in the future due to climate change. They demonstrate the urgent need to adopt sustainable groundwater management strategies and reform existing water governance model in the Campania region, as well as in other parts of Italy and Europe.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"31 ","pages":"Article 101551"},"PeriodicalIF":4.9,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614215","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}

{"title":"Mapping contamination and health risks posed by heavy metals in groundwater from industrial and landfill-affected localities in central India","authors":"Rajesh Ahirwar ,&nbsp;Kamini Arya ,&nbsp;Dharma Raj","doi":"10.1016/j.gsd.2025.101554","DOIUrl":"10.1016/j.gsd.2025.101554","url":null,"abstract":"<div><div>Groundwater contamination by trace metals poses a serious environmental and public health concern in rapidly urbanizing regions of India. This study evaluated the seasonal and spatial variability of groundwater quality, metal contamination, and associated health risks across three environmentally distinct sites in central India – Adampur Chawni (new landfill), Bhanpur (legacy landfill), and Mandideep (industrial hub). A total of 205 groundwater samples were collected during pre-monsoon, monsoon, and post-monsoon seasons and analyzed for physicochemical parameters, trace metals, and pollution indices. Health risk assessment, following the USEPA framework, estimated chronic daily intake, hazard indices, and carcinogenic risks for adults and children. A community morbidity survey was also undertaken to supplement exposure evaluation. Groundwater pH remained within permissible limits (7.20 ± 0.3 to 7.81 ± 0.4), while total dissolved solids exceeded acceptable levels at Adampur Chawni (up to 712 mg/L). Elevated chloride (up to 505 mg/L), sulphate (up to 265 mg/L), and hardness (up to 278 mg/L) were recorded near landfill sites. Although most metal concentrations were within limits, Pb, Mn, and Zn occasionally exceeded national standards. Heavy metal pollution index (3.43–7.85) and water quality index (15.69–49.21) indicated excellent to good water quality across all locations, while metal index (0.25–1.39) showed moderate pollution levels. Health risk assessment revealed higher chronic exposure in children, with manganese intake up to 4.18 × 10⁻² mg/kg/day, and non-carcinogenic hazard indices (HI) exceeding 1.5 in Mandideep. Carcinogenic risks exceeded USEPA limits for children at all sites, particularly in Mandideep (TCR = 3.73 × 10⁻⁴). Morbidity survey data revealed fatigue, joint pain, and neurological symptoms consistent with metal exposure. These findings indicate localized contamination of groundwater and emphasize for groundwater monitoring, improved waste management, and interventions, as health risk assessment revealed hazards despite generally good water quality indices.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"31 ","pages":"Article 101554"},"PeriodicalIF":4.9,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145681054","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}

{"title":"Arsenic mobilization and recirculation dynamics: Groundwater circulation wells for enhanced decontamination in complex coastal aquifer environments","authors":"Paolo Ciampi ,&nbsp;Damiano Feriaud ,&nbsp;Daniele D’Emilio ,&nbsp;Felice Tatangelo ,&nbsp;Lorenzo Lanzafame ,&nbsp;Monica Pasini ,&nbsp;Marco Petrangeli Papini","doi":"10.1016/j.gsd.2025.101538","DOIUrl":"10.1016/j.gsd.2025.101538","url":null,"abstract":"<div><div>Arsenic (As) contamination poses serious risks to groundwater quality and human health, with millions globally exposed to unsafe levels, making remediation a critical challenge. Coastal aquifers are especially vulnerable due to heterogeneous lithology, saline intrusion, and complex hydrogeochemical dynamics, which limit the effectiveness of conventional pump-and-treat (P&amp;T) systems and call for innovative remediation solutions. This study evaluates groundwater circulation wells (GCWs) as a technology to mobilize and remove As, focusing on the development of the GCW-induced recirculation cell. The research was conducted at a coastal industrial site with longstanding As pollution, representative of complex hydrogeology. A relational geodatabase integrated data from 76 boreholes, 41 piezometers, 2 multi-level sampling wells (MLSWs), and 1 GCW. A 3D stratigraphic model supported the design of a 23 m GCW with screened sections at 6 ÷ 8, 12 ÷ 15, and 19 ÷ 22 m. Groundwater was extracted, treated above ground, and reinjected to establish a recirculation cell. Hydrochemical and electrical conductivity (EC) monitoring over 550 days captured the spatial and temporal dynamics of As mobilization, removal, and salinity mixing. The GCW-induced recirculation cell mobilized As up to ∼9000 μg/L—around 900 times the World Health Organization (WHO) guideline of 10 μg/L—before stabilizing at ∼6500 μg/L. The system achieved 66 % removal efficiency, extracting ∼80 kg of As while promoting groundwater mixing. EC data from MLSWs provided unprecedented insights into the spatio-temporal evolution of the recirculation process. These findings demonstrate that GCWs provide a viable and sustainable alternative to conventional remediation strategies for addressing persistent As contamination in complex coastal aquifers.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"31 ","pages":"Article 101538"},"PeriodicalIF":4.9,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416229","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}

{"title":"Bridging the resolution gap: Machine learning for local-scale groundwater drought monitoring in Punjab, Pakistan","authors":"Fahimeh Youssefi ,&nbsp;Shoaib Ali ,&nbsp;Behnam Khorrami ,&nbsp;Mohammad Mohsin Khan ,&nbsp;Muhammad Jehanzaib ,&nbsp;Talha Mahmood ,&nbsp;Zhiming Han ,&nbsp;Wu Haotian ,&nbsp;Muhammad Faisal","doi":"10.1016/j.gsd.2025.101545","DOIUrl":"10.1016/j.gsd.2025.101545","url":null,"abstract":"<div><div>The drought, resulting from insufficient precipitation, significantly impacts groundwater resources, thereby threatening water availability and human livelihood. Conventional approaches to evaluating groundwater shortages are influenced by limited observations across spatial and temporal dimensions. Previous studies on groundwater drought occurrences in the Punjab Doabs of Pakistan were explored at limited resolution (0.25°). Therefore, the Extreme Gradient Boosting (XGBoost) machine learning model was employed to downscale the Terrestrial Water Storage Anomaly (TWSA) data (0.25°) obtained from Gravity Recovery and Climate Experiment (GRACE) to 0.1° resolution and derived high-resolution Groundwater Storage Anomaly (GWSA) data (0.1°) to assess the Groundwater Drought Index (GGDI) at higher resolution. The XGBoost model had a Pearson correlation (R) of 0.99, an NSE of 0.99, an RMSE of 5.22 mm, and an MAE of 2.75 mm. The groundwater dynamics can be accurately simulated by the XGBoost model, which has demonstrated a validation with in situ groundwater level data showing an R of 0.77. The characteristics of the GGDI trend, along with its spatio-temporal variations, were analyzed in the Punjab Doabs from 2003 to 2020. Findings indicated severe drought events in 2010 and from 2018 to 2020 in the study area. Additionally, results indicated that GGDI exhibited similar drought patterns to the model-generated Groundwater Storage Percentile (GWSP) with a correlation coefficient of 0.66. This framework serves as an effective tool for monitoring drought in the Punjab Doabs and similar climatic zones.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"31 ","pages":"Article 101545"},"PeriodicalIF":4.9,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519837","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}

{"title":"Groundwater level forecasting in response to climate change scenarios in southwestern Saskatchewan using wavelet decomposition and artificial neural networks","authors":"Ahmed Shawky Okasha ,&nbsp;Mohamed Khafagy ,&nbsp;Corinne Schuster-Wallace ,&nbsp;Sarah Dickson-Anderson","doi":"10.1016/j.gsd.2025.101550","DOIUrl":"10.1016/j.gsd.2025.101550","url":null,"abstract":"<div><div>Global warming has intensified extreme climate events, including prolonged droughts, altering precipitation patterns and threatening groundwater resources. Additional stresses from economic development, population growth, and land use changes exacerbate groundwater depletion, often exceeding recharge rates. This study develops a hybrid artificial neural networks (ANN) and wavelet decomposition (WA) model to forecast long-term groundwater levels (GWLs) until 2100 under future climate scenarios in southwestern Saskatchewan to inform sustainable groundwater management strategies in a data-scarce region with a complex disconnected aquifer system. Monthly gridded precipitation and temperature data were combined with monthly GWLs from three wells in two aquifers. Three machine learning ANN models were applied and evaluated to forecast GWLs: i) nonlinear autoregressive network with exogenous input (NARX), ii) nonlinear autoregressive network (NAR), and iii) nonlinear input-output network (NIO). WA was integrated with NIO and NAR for signal denoising. Moreover, two base models were applied to each well: i) linear regression (LR), and ii) autoregressive integrated moving average (ARIMA) to quantify WA-ANN added value. Three learning algorithms, Levenberg-Marquardt (LM), Bayesian Regularization (BR), and scaled conjugate gradient (SCG), trained the models with varying neurons and delay times. Results show that NARX trained with BR produce the most accurate predictions for all wells. The applicability of WA-NIO and WA-NAR trained with LM in data-sparse settings remains largely exploratory with potential for improvement. GWLs are least impacted under SSP1-2.6, moderately affected under SSP2-4.5, and severely impacted under SSP5-8.5. These findings support decision-making through informing aquifer sustainability management plans under changing climate conditions.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"31 ","pages":"Article 101550"},"PeriodicalIF":4.9,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614213","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}

{"title":"Groundwater quality and risk assessment in urban areas of arid regions on the western Qinghai-Tibet Plateau","authors":"Qingshan Li ,&nbsp;Xiaobing Kang ,&nbsp;Mo Xu ,&nbsp;Dan Wang ,&nbsp;Ke Li","doi":"10.1016/j.gsd.2025.101547","DOIUrl":"10.1016/j.gsd.2025.101547","url":null,"abstract":"<div><div>The western region of the Qinghai-Tibet Plateau is characterized by an arid climate with minimal rainfall, making groundwater the primary water source for local towns. In recent years, levated concentrations of arsenic(As), fluoride(F⁻) and nitrate(NO₃⁻) in groundwater have raised concerns about drinking water safety. This study, collected 52 groundwater samples from wells in seven towns across six basins in the Ali region. By employing methods such as mathematical statistics, major ion ratio analysis, the Entropy-Weighted Water Quality Index (EWQI), and Monte Carlo simulation, the characteristics of hydrogeochemical components, controlling factors, and potential risks of groundwater in this region were clarified. The groundwater chemistry type is dominated by HCO₃–Ca, and its ion concentration from high to low is Ca²⁺ &gt; Na⁺ &gt; Mg²⁺ &gt; K⁺ and HCO₃⁻ &gt; SO₄²⁻ &gt; Cl⁻ &gt; NO₃⁻ &gt;F⁻. The most severe As pollution (0–0.09 mg/L) occurred in Gaer(GR)and Geji(GJ) towns within the Shiquan River Basin in the western part of the study area, This is primarily attributed to high As hot spring discharge, ion exchange, and the weathering and dissolution of As-containing minerals in silicate rocks Elevated F⁻ concentrations (0.01–1.41 mg/L) were observed in Gaize(GZ) of the Luoren River Basin and Ritu(RT) of the Maka River Basin, driven by evaporation and the dissolution of F⁻-containing minerals in evaporitic salt rocks and silicate rocks. NO₃⁻ concentrations ranged from 1.44-30.2 mg/L, and were mainly influenced by human activities. Groundwater quality was evaluated using the EWQI method. Groundwater samples from Gaer(GR)and Geji(GJ) in the Shiquan River Basin exhibited poor to very poor quality, while samples from the other five towns ranged from excellent to good. Health risks were simulated using the Monte Carlo method, revealing that both carcinogenic and non-carcinogenic risks require attention, particularly in the Shiquan River Basin, where As pollution is significant. The effective exposure factor (EF) was the most critical parameter influencing health risks, followed by As concentration and body weight (BW), with BW showing a negative correlation and other parameters showing positive correlations with risk. This study offers new insights into groundwater pollution control mechanisms and associated health risks in the western urban area of the Qinghai-Tibet Plateau. It also provides valuable references for groundwater resource management and pollution prevention in the region and downstream South Asian countries.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"31 ","pages":"Article 101547"},"PeriodicalIF":4.9,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519736","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}

{"title":"Misiones lateritic soil as a safely disposable, single-use adsorbent for arsenate removal","authors":"R. Boglione ,&nbsp;M.C. Panigatti ,&nbsp;C. Griffa ,&nbsp;S. Keller ,&nbsp;M.C. Schierano ,&nbsp;M. Asforno ,&nbsp;M. Farías ,&nbsp;F.D. Reina ,&nbsp;E.B. Halac ,&nbsp;A.L. Marzocca ,&nbsp;P.N. Alderete ,&nbsp;P.C.V. Sánchez ,&nbsp;E.G. De Seta ,&nbsp;J.M. Meichtry","doi":"10.1016/j.gsd.2025.101535","DOIUrl":"10.1016/j.gsd.2025.101535","url":null,"abstract":"<div><div>Lateritic soil (LS) from Misiones province, Argentina, was evaluated as a single-use, safely disposable adsorbent for pentavalent arsenic (As(V)) removal on three different systems:1) synthetic solutions at [As(V)]₀ ≤ 10 mg L⁻¹ and pH 6.5 (LSL); 2) synthetic solutions at [As(V)]₀ ≤ 50 mg L⁻¹ and pH 2 (LSH); and 3) three different groundwaters obtained nearby Rafaela city (Santa Fe, Argentina), with [As(V)]₀ ≤ 0.165 mg L⁻¹ and 7 &lt; pH &lt; 8 (LSR). Adsorption equilibrium followed the Langmuir isotherm, with <em>q</em>_max = 0.44 mg As g⁻¹ and <em>K</em>_L = 51 mg⁻¹ L for LSL, and <em>q</em>_max = 2.1 mg As g⁻¹ and <em>K</em>_L = 0.6 mg⁻¹ L mg for LSH. In LSR, an up to 47 times decrease in adsorbed As(V) (<em>q</em>_e) was observed, attributable to the presence of interfering ions. Desorption with 0.10 M hydrochloric acid (HCl), acetic acid (HAc) and sodium hydroxide (NaOH) showed that NaOH achieved over 72 % As(V) release, while with HAc and HCl was &lt;10 %, indicating near irreversible adsorption. As(V) concentrations in HCl and HAc leachates from LSL and LSR remained below the 1 mg L⁻¹ limit for hazardous waste; for LSH, this limit was surpassed. Kinetic experiments with LSL showed that, after 1 h, desorbed As(V) peaked to 0.2 and 0.07 mg L⁻¹ for HCl and HAc, respectively, followed by gradual re-adsorption onto precipitated iron oxy-hydroxides until [As(V)] ≤ 0.06 mg L⁻¹ after 24 h. These results support the suitability of LS as a single-use, safely disposable adsorbent for treating waters with low As(V) concentrations.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"31 ","pages":"Article 101535"},"PeriodicalIF":4.9,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145319488","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}