利用遥感、地理信息系统和层次分析法对地下水潜力区进行空间评估:西孟加拉邦西里古里分区案例研究

IF 2.3 Q2 REMOTE SENSING
Pritam Saha, Saumyajit Ghosh, Shasanka Kumar Gayen
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引用次数: 0

摘要

作为最重要的自然资源之一,地下水对于提供长期、可靠和可持续的全球供水至关重要。因此,划定地下水潜力区(GWPZ)对于有效管理地下水储备至关重要。鉴于地下水使用模式的显著变化,特别是考虑到由于各种原因导致的地下水需求量持续上升,本研究试图综合利用遥感(RS)、地理信息系统(GIS)和层次分析法(AHP)来划分西孟加拉邦西里古里分区的地下水潜力区。利用 GIS 软件中的层次分析法(AHP),对地貌、岩性、线状密度、土壤质地、海拔、坡度、土地利用和土地覆盖(LULC)、河流密度、降雨量、雨季前地下水深度、雨季后地下水深度、地下水波动、地形湿润指数(TWI)和地形粗糙度指数(TRI)这 14 个成因因素的栅格图层进行了划分。最终的全球降水分区图被分为五个等级:非常高(25.67%)、高(31.77%)、中等(20.73%)、低(17.67%)和非常低(4.15%)。通过对 39 口掘井的地下水位深度进行接收器工作特征曲线(ROC)评估,进一步验证了上述结果。ROC 曲线显示 AUC 值为 0.818,预测准确率为 81.80%。全球水源保护区综合图将加强对自然资产的管理,以保证水资源的持续保护和农业的发展。本研究采用的方法可用于其他具有可比环境的自然环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial assessment of groundwater potential zones using remote sensing, GIS and analytical hierarchy process: A case study of Siliguri subdivision, West Bengal

One of the most significant natural resources, groundwater is essential to providing a long-term, reliable and sustainable global water supply. Therefore, delineating Groundwater potential zones (GWPZs) is crucial in effectively managing groundwater reserves. The present study attempts to delineate GWPZs in the Siliguri subdivision of West Bengal using integrated Remote Sensing (RS), Geographic Information System (GIS) and Analytical Hierarchy Process (AHP) in the light of a considerable shift in the patterns of groundwater usage, especially considering the ongoing rise in demand for groundwater owing to a variety of causes. Raster layers of fourteen causative factors Viz. geomorphology, lithology, lineament density, soil texture, elevation, slope, land use and land cover (LULC), river density, rainfall, pre-monsoon groundwater depth, post-monsoon groundwater depth, groundwater fluctuation, topographic wetness index (TWI) and topographic roughness index (TRI) are used to delineate GWPZs using AHP in GIS software. The final GWPZs map was categorised into five classes: very high (25.67%), High (31.77%), moderate (20.73%), low (17.67%) and very low (4.15%). The results are further validated by evaluating the receiver operating characteristic (ROC) curve with the groundwater level depth from 39 dug wells. The ROC curve shows that the AUC value is 0.818, representing a prediction accuracy of 81.80%. The comprehensive map of GWPZs will enhance managing natural assets to guarantee the continued preservation of water resources and the development of agriculture. The method utilised in this research may be used in other natural contexts with a comparable environment.

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来源期刊
Applied Geomatics
Applied Geomatics REMOTE SENSING-
CiteScore
5.40
自引率
3.70%
发文量
61
期刊介绍: Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements
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