Forecasting groundwater resources for future sustainability: a geospatial approach in the Himalayan Beas basin

IF 2.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Environmental Earth Sciences Pub Date : 2025-02-04 DOI:10.1007/s12665-025-12120-8
Utsav Rajput, Dericks Praise Shukla, Deepak Swami
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Abstract

Groundwater constitutes approximately 30% of the world’s freshwater, making it an essential natural resource for all living beings. However, unplanned usage has resulted in the depletion of groundwater levels, necessitating sustainable management practices. Traditional field mapping of groundwater availability (GWA) is expensive and time-intensive, posing challenges to its effective management. This study proposes a simple methodology to predict the future groundwater availability using remote sensing and Geographical Information Systems (GIS) tools. Ten thematic layers depicting various basin characteristics including annual average rainfall for the year 2012 to 2021 were used to predict groundwater availability zones map for the year 2022 in the Beas river basin. Relative influence of each layer was computed using analytical hierarchy process with consistency ratio below 0.1. The results showed comprehensible dependence of groundwater availability over rainfall, being the prime source of groundwater recharge. The predicted GWA map showed higher groundwater availability in the western part of the basin due to higher rainfall, porous lithology, mild slope, lower drainage density and curvature as compared to the eastern part which consisted of the lower Himalayan region. The results were validated based on actual groundwater data yielding fairly accurate predictions with only 3 out of 35 stations not agreeing to the prediction. The predicted groundwater availability zones map outlines the areas with readily available groundwater in future and recommends the areas for groundwater recharge optimizing water management, aiding in drought preparedness, resource allocation, infrastructure planning, and environmental protection, ensuring sustainable usage and resilience to climate change.

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预测未来可持续性的地下水资源:喜马拉雅双鱼盆地的地理空间方法
地下水约占世界淡水的30%,是所有生物必不可少的自然资源。然而,无计划的使用已导致地下水位枯竭,因此必须采取可持续的管理办法。传统的地下水可用性野外测绘成本高、耗时长,给有效管理带来了挑战。本研究提出了一种利用遥感和地理信息系统(GIS)工具预测未来地下水可用性的简单方法。10个主题层描绘了各种流域特征,包括2012年至2021年的年平均降雨量,用于预测2022年双鱼河流域的地下水可用区地图。采用层次分析法计算各层的相对影响,一致性比小于0.1。结果表明,地下水可利用性对降雨的依赖性是可以理解的,降雨是地下水补给的主要来源。预测GWA图显示,与由下喜马拉雅地区组成的东部地区相比,盆地西部由于降雨量大、岩性多孔、坡度温和、排水密度和曲率低,地下水可利用性较高。结果基于实际地下水数据进行了验证,得出了相当准确的预测,35个站点中只有3个不同意预测。预测的地下水可用区地图概述了未来可随时获得地下水的地区,并建议地下水补充的地区优化水资源管理,帮助抗旱准备、资源分配、基础设施规划和环境保护,确保可持续利用和应对气候变化的能力。
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来源期刊
Environmental Earth Sciences
Environmental Earth Sciences 环境科学-地球科学综合
CiteScore
5.10
自引率
3.60%
发文量
494
审稿时长
8.3 months
期刊介绍: Environmental Earth Sciences is an international multidisciplinary journal concerned with all aspects of interaction between humans, natural resources, ecosystems, special climates or unique geographic zones, and the earth: Water and soil contamination caused by waste management and disposal practices Environmental problems associated with transportation by land, air, or water Geological processes that may impact biosystems or humans Man-made or naturally occurring geological or hydrological hazards Environmental problems associated with the recovery of materials from the earth Environmental problems caused by extraction of minerals, coal, and ores, as well as oil and gas, water and alternative energy sources Environmental impacts of exploration and recultivation – Environmental impacts of hazardous materials Management of environmental data and information in data banks and information systems Dissemination of knowledge on techniques, methods, approaches and experiences to improve and remediate the environment In pursuit of these topics, the geoscientific disciplines are invited to contribute their knowledge and experience. Major disciplines include: hydrogeology, hydrochemistry, geochemistry, geophysics, engineering geology, remediation science, natural resources management, environmental climatology and biota, environmental geography, soil science and geomicrobiology.
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