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利用地理信息系统、层次分析法和饮用水质量指数评估齐瓦湖流域的地下水潜力

Assessing Groundwater Potential in the Ziway Lake Watershed Using Geographical Information System, Analytic Hierarchy Process, and Drinking Water Quality Index.

作者信息

Takele Tariku, Mechal Abraham, Berhe Berihu Abadi

机构信息

Department of Geology College of Natural and Computational Sciences Dilla University P.O. Box 419 Dilla Ethiopia.

Geology Department Addis Ababa Science and Technology University (AASTU) P.O. Box 16417 Addis Ababa Ethiopia.

出版信息

Glob Chall. 2025 Apr 27;9(6):2400354. doi: 10.1002/gch2.202400354. eCollection 2025 Jun.

DOI:10.1002/gch2.202400354
PMID:40510652
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12151800/
Abstract

This study investigates the groundwater potential zones in the Ziway Lake watershed of Ethiopia's rift valley using a GIS-based multi-criteria decision analysis within the Analytical Hierarchy Process (AHP). Environmental factors, including recharge, lithology, elevation, lineament density, and drainage density, are analyzed. The soil and water assessment tool (SWAT) model is applied to estimate groundwater recharge for the watershed. The performance of the SWAT model, evaluated based on observed streamflow at Katar and Meki stations, demonstrates good performance during the calibration and validation phases. The watershed's groundwater potential is classified as Very low (18.01%), Low (17.62%), Moderate (12.05%), High (28.34%), and Very High (23.98%). Groundwater potential zones are integrated with drinking water quality index zones using GIS, showing that (39.72%) of very high and high potential areas have good to excellent water quality. Results show that over half of the watershed has moderate to very high groundwater potential, identifying critical areas for sustainable water management. The findings provide useful guidance for identifying key areas for groundwater exploration and conservation, offering a practical approach that can be applied to other regions to ensure sustainable management.

摘要

本研究采用层次分析法(AHP)中基于地理信息系统(GIS)的多准则决策分析方法,对埃塞俄比亚裂谷带齐瓦湖流域的地下水潜在区域进行了调查。分析了包括补给、岩性、海拔、线性构造密度和排水密度在内的环境因素。应用土壤和水评估工具(SWAT)模型估算该流域的地下水补给量。基于卡塔尔站和梅基站观测到的流量对SWAT模型的性能进行评估,结果表明该模型在校准和验证阶段表现良好。该流域的地下水潜力分为极低(18.01%)、低(17.62%)、中等(12.05%)、高(28.34%)和极高(23.98%)。利用GIS将地下水潜在区域与饮用水质量指数区域进行整合,结果表明,(39.72%)的高潜力和极高潜力区域水质良好至极佳。结果表明,该流域一半以上地区的地下水潜力为中等至极高,确定了可持续水资源管理的关键区域。研究结果为确定地下水勘探和保护的关键区域提供了有用的指导,提供了一种可应用于其他地区以确保可持续管理的实用方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d0/12151800/9a44d136e8aa/GCH2-9-2400354-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d0/12151800/6a918c4d84af/GCH2-9-2400354-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d0/12151800/2a4068073736/GCH2-9-2400354-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d0/12151800/b9fea7f2d558/GCH2-9-2400354-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d0/12151800/718990e2645d/GCH2-9-2400354-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d0/12151800/6247beebd5be/GCH2-9-2400354-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d0/12151800/e4b29e17116e/GCH2-9-2400354-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d0/12151800/9a44d136e8aa/GCH2-9-2400354-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d0/12151800/6a918c4d84af/GCH2-9-2400354-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d0/12151800/2a4068073736/GCH2-9-2400354-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d0/12151800/b9fea7f2d558/GCH2-9-2400354-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d0/12151800/718990e2645d/GCH2-9-2400354-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d0/12151800/6247beebd5be/GCH2-9-2400354-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d0/12151800/e4b29e17116e/GCH2-9-2400354-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d0/12151800/9a44d136e8aa/GCH2-9-2400354-g001.jpg

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Groundwater potential mapping in Jashore, Bangladesh.
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