利用 AHP 和 RS-GIS 工具对马哈拉施特拉邦那格浦尔地区的动态地下水潜力图进行空间分析

Water Supply Pub Date : 2024-04-17 DOI:10.2166/ws.2024.083
Rakesh K. Verma, Aswini B. Mirajkar
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引用次数: 0

摘要

地下水潜力(GWP)的确定对于地下水管理至关重要。最近,那格浦尔地区的一些地区面临缺水问题,地下水位波动(GWLF)严重。本研究将 2017 年至 2022 年的降雨量、土地利用/覆盖率、不透水面积(FIS)和 GWLF 的动态行为与地形湿润指数(TWI)、地形崎岖指数(TRI)、线状密度、排水密度、坡度、土壤和地貌结合起来。研究采用了基于地理信息系统(GIS)的多标准决策方法、层次分析法和遥感技术来绘制时空全球升温潜能值图。ArcGIS 10.5 的加权叠加工具用于绘制最终的全球升温潜能值地图。重要的是,研究区域西北部的全球升温潜能值发生了重大变化,全球升温潜能值较差类别的面积增加了 448 平方公里,表明补给概率下降。安全全球升温潜能值类别减少了近 531 平方公里,这加剧了问题的严重性,而高全球升温潜能值类别的变化则非常小。采用面积敏感性方法确定了最敏感的参数,结果显示,TRI、坡度、土壤、地貌、降雨量和 TWI 分别导致 35%、29%、20%、19%、11% 和 11%的面积变化,同时使其权重最大化。全球升温潜能值图的验证结果表明,该图与季风前后的水井数据十分吻合。该方法和结果可用于类似地区的全球升温潜能值评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial analysis of dynamic groundwater potential maps of Nagpur district of Maharashtra using the AHP and RS-GIS tools
Identification of groundwater potential (GWP) is essential for groundwater management. Recently some areas of Nagpur district have faced water scarcity with severe groundwater level fluctuation (GWLF). The study incorporates the dynamic behaviour of rainfall, land use/cover, fractional impervious surface (FIS), and GWLF from 2017 to 2022 along with topographical wetness index (TWI), topographical ruggedness index (TRI), lineament density, drainage density, slope, soil, and geomorphology. The study employs the geographical information system (GIS)-based multi-criteria decision-making approach, analytical hierarchy process, and remote sensing for spatiotemporal GWP mapping. The weighted overlay tool of ArcGIS 10.5 was used to derive final GWP maps. Critically, the northwestern part of the study area experienced major shifts in GWP, 448 km2 area has increased under the poor GWP category representing a decline in recharge probability. The safe GWP category diminished by nearly 531 km2 which exacerbates the problem whereas, high GWP showed very less changes. The most sensitive parameters are identified using an area-sensitivity approach, which reveals that TRI, slope, soil, geomorphology, rainfall, and TWI cause 35, 29, 20, 19, 11, and 11% area changes, respectively, while maximizing their weights. The validation of GWP maps shows good agreement with pre- and post-monsoon well data. The methodology and results may serve for GWP appraisal of similar regions.
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