利用地理信息学和AHP技术评估印度北方邦地下水潜力带

IF 2.3 Q2 REMOTE SENSING
Sushil Chandra, Ajay Pratap Singh
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引用次数: 0

摘要

水是我们日常需要的基本来源,存在于地下水或地表水中。在当前的气候表现中,它们的发生、利用、补给和未来的可持续性对人类、农业、工业和生态环境的平衡都是不可或缺的。遥感卫星数据与地理信息系统(GIS)应用的综合研究有效地评价了地下水潜势带(GPZ),为未来情景开发提供了活力。本研究旨在利用多准则决策(MCDM)和层次分析法(AHP),结合降雨、地貌、土地利用-土地覆盖、排水密度、坡度、土壤和线条密度等7个参数,结合野外调查,对北方邦的GPZ进行圈定。利用免费的基于web的层次分析法,对各参数进行权重分配,并利用ArcGIS进行权重叠加分析(WOA)。结果表明,山前地区有8%的面积处于优势区,恒河左岸地区有46%的面积处于优势区。同时,北方邦南部显示出良好的潜力带。同样,沿恒河右岸的中间地带(45%)和北方邦南部地区划分为公平电位区。预测西南地区为弱电位区(1%)。这些结果与过去11年(2010- 2021年)季风前后的井水水位进行了测试,这符合我们的AHP方法的发现。因此,AHP是一种识别GPZ地图的新方法,可用于开展广泛的地面水文研究,有助于识别潜在的钻孔/挖井位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Harnessing geoinformatics and AHP techniques to assess the groundwater potential zones in Uttar Pradesh, India

Water is an essential source for our daily needs and occurs in groundwater or surface water. In the present climatic manifestation, their occurrence, usage, recharge, and future sustainability are indispensable for mankind, agriculture, industries and ecological environmental equilibrium. Integrated studies of RS (Remote Sensing) satellite data and GIS (Geographic Information System) applications effectively evaluate GPZ (Groundwater Potential Zones) and provide vitality to futuristic scenario development. The present study is aimed to delineate the GPZ of Uttar Pradesh using MCDM (Multi-Criteria Decision Making) and AHP (Analytical Hierarchy Process) taking seven parameters such as rainfall, geomorphology, LULC (Land Use-Land Cover), drainage density, slope, soils and lineament density along with field survey. Using the free web-based AHP, all parameters were assigned a weightage, and weightage overlay analysis (WOA) using ArcGIS was performed. The results identified a total of 8% area in the piedmont region under the excellent potential zone followed by 46% of area of the Ganga River left bank. At the same time, the southern part of Uttar Pradesh indicated good potential zones. Similarly, the intermediate zone (45%) along the Ganga River right bank and the southern zone of Uttar Pradesh demarcate fair potential zone. The poor potential zone (1%) is predicted in the southwestern part. These results were tested with the pre and post monsoon well water levels of the last 11 years (2010- 2021) which satisfies our findings of the AHP method. Hence, AHP is a new method for identifying GPZ maps that can be used to carry out extensive ground-based hydrological studies that aid in the identification of potential bore well/dug well locations.

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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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