{"title":"Forecasting groundwater resources for future sustainability: a geospatial approach in the Himalayan Beas basin","authors":"Utsav Rajput, Dericks Praise Shukla, Deepak Swami","doi":"10.1007/s12665-025-12120-8","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":542,"journal":{"name":"Environmental Earth Sciences","volume":"84 4","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Earth Sciences","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s12665-025-12120-8","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
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.
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.