With the increasing demands for water due to growing population, urban expansion, agricultural development and groundwater resources are gaining much attention, particularly in Gopiballavpur block, Paschim Medinipur district (West Bengal, India). Present study used cohesive approach of remote sensing and geographic information system to deliver an appropriate platform for convergent study of multi-disciplinary data and decision building for artificial groundwater recharge. Thematic maps were generated from Landsat8-Operational land Imager (OLI) and Shuttle Radar Topographic Mission (SRTM), and aquifer parameter thematic layers were organized from conventional field data. The weighted linear combination method was used to determine the weights of various themes and their classes, namely ‘very good’, ‘good’, ‘poor’ and ‘very poor’ for identifying recharge potential zone. It has been concluded that 14.58% area has very good groundwater recharge potentiality of the study area. The area having ‘good’, ‘moderate’ and ‘low’ recharge potential is about 32.77%, 39.67% and 12.98%, respectively.

中文翻译：

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利用地理空间技术划分地下水补给潜力区的方法

随着人口增长对水的需求不断增加，城市扩张，农业发展和地下水资源越来越受到人们的关注，尤其是在Paschim Medinipur地区（印度西孟加拉邦）的Gopiballavpur街区。本研究采用遥感和地理信息系统的凝聚方法，为融合多学科数据研究和人工地下水补给决策制定提供了一个合适的平台。从Landsat8-Operational Land Imager（OLI）和Shuttle Radar Topographic Mission（SRTM）生成专题图，并根据常规野外数据组织含水层参数专题层。加权线性组合法用于确定各个主题及其类别的权重，即“非常好”，“好”，“差”和“非常差”，用于识别补给潜力区域。已经得出结论，该区域的14.58％区域具有很好的地下水补给潜力。具有“良好”，“中等”和“低”充电潜力的区域分别约为32.77％，39.67％和12.98％。