当前位置: X-MOL 学术Geocarto Int. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Fuzzy AHP based GIS and Remote Sensing Techniques for the Groundwater Potential Zonation for Bundelkhand Craton Region, India
Geocarto International ( IF 3.3 ) Pub Date : 2021-06-22 , DOI: 10.1080/10106049.2021.1946170
Mukesh Kumar 1 , Pitam Singh 1, 2 , Priyamvada Singh 3
Affiliation  

Abstract

In this article, GIS, remote sensing (RS) and fuzzy AHP are used to develop a methodology to delineate the groundwater potential zones. GIS-RS technique is used to prepare the different thematic maps that influence the groundwater potentiality. Fuzzy AHP method is used to assign weights and fuzzy ratings to different thematic layers and their attributes classes, respectively. After assigning the weight and rating, Groundwater potential index is calculated by multiplying each thematic layer weights to its attribute class and adding all of them. Thus, the calculated groundwater potential index (GWPI) is used to classify the different groundwater potential zones. The groundwater in the study area is classified into five different classes such as very low (0.51% of total area), low (13.58%), moderate (61.25%), high (23.42%) and very high (1.24%). The delineated groundwater potential zone map is verified using the well depth data, obtained from the central groundwater board (CGWB), India.



中文翻译:

基于模糊层次分析法的印度邦德尔坎德克拉通地区地下水潜在分区的 GIS 和遥感技术

摘要

在本文中,地理信息系统、遥感 (RS) 和模糊层次分析法被用来开发一种划分地下水潜力区的方法。GIS-RS 技术用于准备影响地下水潜力的不同专题图。模糊层次分析法用于分别为不同的专题层及其属性类分配权重和模糊等级。分配权重和等级后,地下水潜力指数通过将每个专题层权重乘以其属性类并全部相加来计算。因此,计算的地下水潜力指数(GWPI)用于对不同的地下水潜力区进行分类。研究区地下水分为极低(占总面积的0.51%)、低(13.58%)、中等(61.25%)、高(23.42%)和极高(1.24%)五个不同等级。

更新日期:2021-06-22
down
wechat
bug