Groundwater for Sustainable Development最新文献

{"title":"Hydrogeochemical evolution of spring water in the western lower himalayas: Seasonal changes, quality assessment, and health risks","authors":"Shijin Rajan ,&nbsp;Janardhana Raju Nandimandalam ,&nbsp;Prahlad Ram","doi":"10.1016/j.gsd.2025.101411","DOIUrl":"10.1016/j.gsd.2025.101411","url":null,"abstract":"<div><div>Spring water serves as a vital freshwater source for Himalayan mountain communities. In order to determine the spring water quality, hydrogeochemical processes, and seasonal changes, thirty-six samples from nine locations in four seasons (2021–2023) were collected and analysed for physicochemical constituents, heavy metals, and stable isotopes (δ¹⁸O and δ²H). The findings demonstrate that a mixture of processes, such as silicate and carbonate weathering through ion exchange and reverse ion exchange processes, regulate the spring water chemistry. The geochemical evolution of spring water is primarily driven by rock weathering, with 86% of the samples exhibiting a Ca.Mg-HCO₃ water type. Most parameters show insignificant seasonal changes except for SiO₂ (p = 0.002), Al (p = 0.007), Co (p = 0.002), Cu (p = 0.00), Li (p = 0.00), Mo (p = 0.00), and Pb (p = 0.00). The isotopic data suggests meteoric origin of spring water, with δ¹⁸O and δ²H values ranging from −8.91‰ to −7.65‰ and −62.7‰ to −51.6‰ (pre-monsoon) and −9.71‰ to −7.86‰ and −63.9‰ to −51.3‰ (post-monsoon), aligning with the local meteoric water line (δ²H = 7.73 × δ¹⁸O+10.45; r² = 0.99). The EWQI and HPI suggest excellent spring water quality in 89%–100% of samples. Among the heavy metals, arsenic poses a potential non-carcinogenic risk in 11%–44% of spring water samples for adults and children. Similarly, arsenic (33%–56%) and nickel (44%–78%) present significant carcinogenic risks, exceeding the acceptable limit of 1 × 10⁻⁴. Overall, the spring water quality is adequate and primarily driven by natural processes, but the levels of As and Ni are in the critical range for human health.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"29 ","pages":"Article 101411"},"PeriodicalIF":4.9,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143101816","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":"Chronic toxicity through prolonged arsenic ingestion among population from endemic area of West Bengal, India: Promoting better management to mitigate future risk","authors":"Sharmistha Majumder,&nbsp;Swetanjana Ghosh,&nbsp;Urvashi Lama,&nbsp;Archita Dey,&nbsp;Debadrita Das,&nbsp;Sk Majrul,&nbsp;Tarit Roychowdhury","doi":"10.1016/j.gsd.2025.101410","DOIUrl":"10.1016/j.gsd.2025.101410","url":null,"abstract":"<div><div>This study focused on evaluating the present arsenic (As) contamination scenario in drinking water and the most consumed food sources such as rice grain and pulses along with its associated chronic toxicity exposure among population from Baranda Shibnagar; a village located in the Murshidabad-Jiaganj block of Murshidabad district, West Bengal, India. A Monte Carlo Simulation was employed to model probabilistic risk and identify the factors contributing most to arsenic-related health risks. Limited probabilistic risk assessments have been conducted in this high-risk region. The findings revealed a higher mean As levels in drinking water (24.5 μg/l) and rice grain (201 μg/kg) surpassing the acceptable limit, whereas, pulses (26.5 μg/kg) were considered to be safe. Besides, As accumulation in chronic toxicity biomarkers of the studied population was also found higher (100% and 96% for hair and nails, respectively) than the threshold values. Furthermore, a significant correlation was observed between As ingestion and biomarker accumulation, reflecting an age-dependent increase in As levels in hair and nails. However, gender was found to have no substantial impact on As accumulation in chronic biomarkers. Among all the sources, rice grain was found as the primary route of As exposure followed by drinking water and pulses. The total estimated daily intake of As (EDI_Total) was found to be highest in adult males, correlating with their heightened carcinogenic risk (CR), followed by females and children. Non-carcinogenic risks (NCR) were notably high among children and according to the sensitivity test result, As concentration in ingestible sources was found to be the most significant component contributing to the CR and NCR followed by exposure duration (ED). These findings underscore the need for immediate interventions in water management and agricultural practices to reduce As exposure and prioritise the necessity for As-safe drinking water to protect human health from its toxic consequences.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"29 ","pages":"Article 101410"},"PeriodicalIF":4.9,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143101815","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":"Contamination of groundwater by microorganisms and risk management: Conceptual model, existing data, and challenges","authors":"A.J. Natishah ,&nbsp;Melvin S. Samuel ,&nbsp;Karrun Velmurugan ,&nbsp;S.R. Showparnickaa ,&nbsp;S.M. Indumathi ,&nbsp;Mohan Kumar","doi":"10.1016/j.gsd.2025.101408","DOIUrl":"10.1016/j.gsd.2025.101408","url":null,"abstract":"<div><div>Groundwater, a crucial resource for drinking water and irrigation, is increasingly threatened by microbial contamination from bacteria and viruses, presenting serious public health challenges. This review offers a thorough exploration of the sources and pathways through which bacteria like fecal coliforms and enteric viruses infiltrate groundwater, highlighting key risk factors such as land use, poor sanitation, and climate change. It assesses both conventional and innovative risk management strategies, with a special emphasis on Quantitative Microbial Risk Assessment (QMRA) as a tool to gauge their effectiveness. The review aligns with Sustainable Development Goals (SDGs) concerning clean water and health, offering insights on how microbial contamination can be reduced to meet global targets. Furthermore, it addresses the specific difficulties faced by Small Water Systems (SWSs) in hazard identification, pathogen monitoring, and QMRA implementation, proposing an enhanced QMRA framework for these systems. By identifying knowledge gaps and suggesting future research directions, this review seeks to advance understanding of bacterial and viral contamination in groundwater, contributing to its safer and more sustainable use.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"29 ","pages":"Article 101408"},"PeriodicalIF":4.9,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143101813","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":"Prioritizing the effects of sustainable development of reviving the qanat in Fariman-Torbat Jam plain- The Eastern of Iran","authors":"Nazanin Yousefian ,&nbsp;Naser Shahnoushi Foroushani ,&nbsp;Ali Firozzare ,&nbsp;Saleh Taghvaeian","doi":"10.1016/j.gsd.2024.101365","DOIUrl":"10.1016/j.gsd.2024.101365","url":null,"abstract":"<div><div>Qanat is an indigenous technology that has played a fundamental role in the expansion of cities and rural throughout arid and semi-arid regions. Severe drought and increased water demand in recent decades have led to excessive water extraction through wells rather than qanat, thereby disrupting the country's environmental, economic, and social sustainability. This study identified thirteen economic, nine social, and eight environmental components that appear from the revival of qanats. These components were identified based on prevailing conditions in the study area, expert interviews, and prior research, and were subsequently prioritized using the Entropy-WASPAS method. The results indicate that improving the quantity of water resources, the participation of people, and improving the income of the residents of the area are the most critical and anticipated outcomes of the qanat revival in the studied area. Indeed, reviving the qanats in the plain is a significant step toward achieving sustainable development, as it not only maintains ecological balance but also strengthens socio-economic resilience by boosting income and fostering greater participation of people. Finally, suggestions were provided to expedite the revival of the Fariman-Torbat Jam qanats, including forming associations and unions to enhance social interaction, providing low-interest loans for users, and encouraging private sector involvement in qanat revival initiatives.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"28 ","pages":"Article 101365"},"PeriodicalIF":4.9,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757046","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 the potential of managed aquifer recharge in Africa: GIS-based multi-criteria decision analysis approach","authors":"Girma Yimer Ebrahim ,&nbsp;Catalin Stefan ,&nbsp;Jana Sallwey ,&nbsp;Jonathan Lautze","doi":"10.1016/j.gsd.2024.101374","DOIUrl":"10.1016/j.gsd.2024.101374","url":null,"abstract":"<div><div>Africa faces numerous challenges related to rainfall variability, droughts, water scarcity, and climate change. Managed Aquifer Recharge (MAR)- groundwater recharge and underground water storage for later use or environmental support presents a viable alternative for water storage and may provide an effective tool for coping with such challenges. However, the potential area where MAR can be feasibly implemented has not been identified. This study mapped MAR feasibility using a Geographic Information System-based Multi-Criteria Decision Analysis (GIS-MCDA) and assessed MAR potential in Africa. The methodology focused on three key pillars of MAR feasibility: intrinsic suitability based on biophysical parameters, water source availability, and water demand. Maps responding to these pillars were developed and combined to create a composite MAR feasibility map. Results show that 18% of the continental area falls into the low feasibility class, 73% into the moderate feasibility class, and 7% into the high feasibility class. The feasibility map was validated against 17 existing MAR schemes in Africa, demonstrating a good correlation between their locations and areas with MAR potential. Results of sensitivity analysis of criteria weights of the biophysical parameters show that geology is the most influential criterion, followed by slope. In general, this first feasibility assessment shows good potential for MAR implementation in Africa. Therefore, MAR should be considered prominently among other water storage options for resilience building in Africa and policymakers should ensure adequate resource allocation for its implementation. The feasibility map can be used to guide MAR planning and investment decisions.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"27 ","pages":"Article 101374"},"PeriodicalIF":4.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Toxic metals health risks assessment using the Monte-Carlo approach coupled with modified water quality index evaluation in Maiganga watersheds, Nigeria","authors":"Adamu Usman Mohammed ,&nbsp;Ahmad Zaharin Aris ,&nbsp;Mohammad Firuz Ramli ,&nbsp;Noorain Mohd Isa","doi":"10.1016/j.gsd.2024.101371","DOIUrl":"10.1016/j.gsd.2024.101371","url":null,"abstract":"<div><div>Geogenic and anthropogenic activities trigger the accumulation of carcinogenic and non-carcinogenic contaminants in the tropical savanna watershed<em>.</em> This study utilized the human health risk assessment model to identify the effects of non-carcinogenic and carcinogenic toxins in the inhabitants of the Maiganga watershed Nigeria through the Monte-Carlo approach. The modified water quality index (MWQI) was employed to assess the health risks linked to drinking water quality. The overall water quality index suggests that the water is safe to drink, Thus, 81 % of the groundwater is suitable for drinking, while 7.1 % is considered poor and unsafe for drinking. NO₃, F, Cr, Pb, and Ni are the key carcinogenic and non-carcinogenic contaminants prevalent in Maiganga groundwater. The non-carcinogenic risk derived from open wells ranges from 0.6402 to 23.1994 in children, 0.2673–9.4625 for females, and 0.2101–9.4569 for males. While in boreholes, it varies from 1.2151 to 31.4620 in children, whereas for females and males, it ranges from 0.3279 to 12.4679 and 0.2576–12.4228, respectively. The Monte-Carlo carcinogenic risk of the best-case scenario evaluated for the open well and borehole confirms that water samples sourced from open wells pose a relatively higher risk of cancer inducement. Therefore, the critical non-carcinogenic and carcinogenic contaminants dominating the Maiganga groundwater are NO₃, F, Cr, Pb, and Ni. Children are highly susceptible to carcinogenic and non-carcinogenic exposure, followed by females and males. Regulating hazardous pollutants is mandatory for providing clean and safe drinking water to rural communities.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"27 ","pages":"Article 101371"},"PeriodicalIF":4.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660591","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":"Hydrogeochemical assessment of groundwater in transboundary aquifers along the US-Mexico border and drinking water quality implications for Texas colonias","authors":"Pousali Pathak ,&nbsp;Ruben Olivares ,&nbsp;Thomas S. Varner ,&nbsp;Harshad V. Kulkarni ,&nbsp;Guadalupe Carmona ,&nbsp;Cynthia Lima ,&nbsp;Steven Hollan ,&nbsp;Saugata Datta","doi":"10.1016/j.gsd.2024.101377","DOIUrl":"10.1016/j.gsd.2024.101377","url":null,"abstract":"<div><div>The groundwater resources in transboundary aquifers are crucial to the development of involved nations. A unified governance strategy based on scientific data is essential for the management of transboundary aquifers. This study presents a comprehensive geochemical analysis of the groundwater quality of private wells along the US-Mexico border in Texas across three transboundary aquifer types. The concentrations of dissolved major ions, trace, and rare earth elements (REE) were measured, and the dissolved organic matter was spectroscopically characterized to evaluate the prevailing water-rock interactions, biogeochemical reactions, and anthropogenic contamination in the groundwater and their susceptibility to future contamination. Groundwater samples were collected from private wells (n = 22) from four representative counties within a section of the Texas-Mexico border (Maverick, Kinney, Dimmit, and Webb Counties). Three distinct aquifer types were revealed from the major ion composition, e.g., a carbonate aquifer within Kinney County (a part of Edwards-Trinity aquifer), an alluvial aquifer with prevailing reducing conditions within Dimmit and Webb Counties (a part of Carrizo-Wilcox aquifer), and an evaporite-rich aquifer within Maverick County. The concentrations of trace elements in the groundwater of each aquifer type were below the MCL of USEPA, however, excessive Sr concentrations were evident mostly in the evaporite-rich aquifer. Our results indicate dissolution of evaporites, and possible anthropogenic contamination may be responsible for the degradation of groundwater quality in Maverick County, raising concern for the viability of the aquifer in the future.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"27 ","pages":"Article 101377"},"PeriodicalIF":4.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706942","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":"Transforming groundwater sustainability, management and development through deep learning","authors":"Jayabrabu Ramakrishnan ,&nbsp;Rajan John ,&nbsp;Dinesh Mavaluru ,&nbsp;Ravula Sahithya Ravali ,&nbsp;Karthik Srinivasan","doi":"10.1016/j.gsd.2024.101366","DOIUrl":"10.1016/j.gsd.2024.101366","url":null,"abstract":"<div><div>Groundwater (GW) availability is at risk due to over-extraction, pollution, and climate change, despite their vital role in satisfying the world's freshwater needs. Decisions made using outdated, under-data-driven models for groundwater management are not always the best option. Traditional approaches often fail to tackle groundwater systems' intricacies and ever-changing nature, even if groundwater management has come a long way. Groundwater over-extraction, pollution, and depletion are consequences of ineffective monitoring, prediction, and management, which endangers environmental sustainability and water security.</div><div>The rising problems of Sustainable Groundwater Management (SGM) and development in the context of global freshwater demand and climate change were addressed in this study. A revolutionary technique for predicting models and the Water Quality Assessment (WQA) by employing the potential of Deep Learning (DL), a type of Artificial Intelligence (AI). Then, the limitations faced by the existing Groundwater Management methods (GM) in predicting the Variations in the GW levels were identified, and it also predicted the quick detection of the WQ (Water Quality) deterioration. The application of DL algorithms offers precise prediction and early detection, and this study also aims to fill the gaps by executing DL on past and present data. By addressing the drawbacks of these traditional methods, Pattern Recognition (PR) and analysis in the DL can revolutionize these procedures. For predicting the modelling of GW levels, the Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and particularly Long Short Term Memory (LSTM) networks are employed in this study.</div><div>For WQA, Deep CNN (DCNN) are employed. The hidden patterns are revealed within the large datasets by applying Deep Transformer Analysis (DTA), which supports specific management approaches. The outcomes demonstrated the revolutionary impact of DL techniques. The LSTM networks facilitated the precise predictions for GW variations and Proactive Resource management. CNN accurately determined the GQA, detecting indicators like PH and level of pollutants early. The DTA contributed to classifying the GW quality levels effectively and optimizing the management techniques. The precise predictive models for GW level variations and accurate WQA parameters were presented in this study by applying these advanced techniques to historical and real-time data. The proactive resource management, early detection capabilities, and sustainability of GW resources facilitate the transformative potential of DL and the outcomes obtained. The enhanced accuracy rate of 97.2%, F1 score rate of 96.2%, MAE (Mean Absolute Error) rate of 0.8%, RMSE (Root Mean Square Error) of 1.1%, loss rate of 0.04% were attained by the suggested CNN-DTA model when compared to other current techniques.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"27 ","pages":"Article 101366"},"PeriodicalIF":4.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660510","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":"Factors controlling land subsidence in the Southern Hau River Region, Vietnam","authors":"Quoc-Cuong Tran ,&nbsp;Thanh-Tam Vu ,&nbsp;Okke Batelaan ,&nbsp;Quy-Nhan Pham","doi":"10.1016/j.gsd.2024.101383","DOIUrl":"10.1016/j.gsd.2024.101383","url":null,"abstract":"<div><div>The Vietnam's Mekong Delta (VMD) is known to be sinking below the sea due to climate change induced seawater level rise on one hand and land subsidence on the other hand. This phenomenon has deleterious ramifications for sustainable socio-economic advancement, manifesting in infrastructure degradation, recurrent inundation, intrusion of saline water, and reduction of habitable and cultivable areas within the region. Notably, in locales such as the Southern Hau River Region (SHRR), land subsidence rates as high as −10 cm/year have been documented, primarily associated with excessive groundwater extraction. Previous investigations have corroborated this relationship through the congruence between groundwater drawdown cones and areas of subsidence detected via InSAR (Interferometric Synthetic Aperture Radar) or through coupled Terzaghi consolidation theory-groundwater flow numerical modeling. This study extends the understanding of subsidence drivers in the SHRR beyond the groundwater level declining, encompassing tectonic activity, geological - lithological features, and landuse. Utilizing geostatistical analyses based on individual InSAR monitoring points, the study evaluates the respective contributions of these factors to land subsidence in the SHRR. Findings indicate that auto-compaction of young sediments, structural loading, and sediment compaction due to induced groundwater level decline are the principal factors precipitating land subsidence in the SHRR.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"27 ","pages":"Article 101383"},"PeriodicalIF":4.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706946","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":"Characteristics of iron-sulfur metabolism and acid-producing microorganisms in groundwater contaminated by acid mine drainage in closed coal mines","authors":"Yanchang Huang ,&nbsp;Ping Lu ,&nbsp;Feng Zhang ,&nbsp;Hao Chen ,&nbsp;Wenliang Zhang ,&nbsp;Linlin Lin ,&nbsp;Hepeng Xu ,&nbsp;Haoran Ding ,&nbsp;Tianhang Cheng","doi":"10.1016/j.gsd.2024.101372","DOIUrl":"10.1016/j.gsd.2024.101372","url":null,"abstract":"<div><div>The generation of acid mine drainage (AMD) from mining activities poses significant challenges to humanity due to its intense pollution and difficult management. Despite the hostile conditions presented by AMD, a plethora of microorganisms thrive in this environment. In this study, we employ metagenomic techniques and microbial diversity analysis to systematically categorize microorganisms. Specifically, we identify Sulfur-iron metabolizing microorganisms associated with AMD, encompassing 6 phyla and 1149 genera. Functional predictions and pathogenicity analyses are conducted on this microbial community. Furthermore, we specifically emphasize the study of acid-producing microorganisms. This research marks the first discussion on the scope and structure of acid-producing microorganisms., comprising 1 phylum, 39 genera, and 1393 species. Our research outcomes comprehensively depict the microbial diversity in AMD, unveiling their influence on the physicochemical properties of AMD pollution. This study contributes valuable insights to addressing environmental challenges arising from AMD and aids in its remediation.</div></div>","PeriodicalId":37879,"journal":{"name":"Groundwater for Sustainable Development","volume":"27 ","pages":"Article 101372"},"PeriodicalIF":4.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707020","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}