Assessment of groundwater suitability for drinking and irrigation purpose using statistical and geospatial techniques

Aishverya Agrawal, D. Dohare
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Abstract

Water is a vital source for all living individuals on earth. The consumption of fresh water has increased rapidly in recent years. Industrialization, urbanization, and population growth have resulted in deterioration of surface and groundwater quality. It is very important to manage groundwater resources and protect them from anthropogenic activities in order to sustain life on earth. This paper discusses methods for assessing the quality of groundwater using statistical and geospatial techniques. In addition, geographic information system (GIS)-integrated statistical methods are also discussed. Statistical methods, including quality indices, irrigation water quality parameter, and geospatial methods, including inverse distance weighted (IDW) and kriging strategies for evaluating groundwater quality and assessing aquifer susceptibility are also explained. In addition, the paper provides an overview of key groundwater quality indices (GWQI) and irrigation water quality indices (IWQI) that have developed over time and used for groundwater quality evaluation around the world. It is revealed that the use of GIS-integrated advanced statistical approaches is not common in assessments of groundwater quality. The constraints and research gaps of previous studies, as well as the prospects for future research needs have been examined.
利用统计和地理空间技术评估地下水是否适于饮用和灌溉
水是地球上所有生命的重要来源。近年来,淡水的消耗量迅速增加。工业化、城市化和人口增长导致地表水和地下水水质恶化。管理好地下水资源,保护其不受人为活动的影响,对维持地球上的生命至关重要。本文讨论了利用统计和地理空间技术评价地下水质量的方法。此外,还讨论了地理信息系统(GIS)集成的统计方法。介绍了用于评价地下水质量和含水层敏感性的统计方法,包括水质指标、灌溉水质参数和地理空间方法,包括反距离加权(IDW)和克里格(kriging)策略。此外,本文还对近年来发展起来并用于地下水质量评价的地下水关键水质指标(GWQI)和灌溉水质指标(IWQI)进行了综述。结果表明,在地下水水质评价中,gis综合先进统计方法的应用并不普遍。分析了以往研究的局限性和研究空白,并对未来的研究需求进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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