Champhai, the rice bowl of Mizoram, is known for wet rice practices. Rapid urbanization and global climate change increased the demand for groundwater. Champhai city, being a hilly township in northeast India, is very difficult to identify the potential groundwater water availability. The present study aimed at groundwater potentiality zonation in Champhai town. For these purposes ten (10) factors from topographic, climatic, hydrological and other conditions were assigned weightage based on the AHP (analytical hierarchy process) technique. The aspect was given maximum weightage as the aspect working as the controlling factors of precipitation intensity, vegetation and soil type, while LULC (land use land cover) was assigned minimum weightage that unscientific human activities reduced infiltration rate. Subsequently, an addition of ten weighted rasters was performed for groundwater potentiality zonation. As a result, it was seen that the maximum part of the study area covered low potentiality zones (31.88%), whereas high and very high potential zone covered 14.73% and 5.08, respectively. A scientific validation technique, namely AUC (area under curve) value of 0.737, denoted a good classified groundwater water potentiality zone. Further, the single-layer sensitivity analysis highlighted that elevation, slope, aspect, infiltration number, distance to streams and rainfall had the maximum effective factors based on their effective weightage. The map removal sensitivity analysis highlighted that TWI (Topographic Wetness Index) and aspect had the maximum influence on the model. However, in a hilly environment like Champhai, the output of the current study will work as a blueprint for planning and decision making.

Champhai 是米佐拉姆邦的饭碗，以湿米饭的做法而闻名。快速城市化和全球气候变化增加了对地下水的需求。 Champhai 市是印度东北部的一个丘陵城镇，很难确定潜在的地下水资源。本研究针对 Champhai 镇地下水潜力区划。为此，根据 AHP（层次分析法）技术对来自地形、气候、水文和其他条件的十 (10) 个因素进行了权重分配。作为降水强度、植被和土壤类型的控制因素，该方面被赋予最大权重，而不科学的人类活动降低入渗率的LULC（土地利用土地覆盖）被赋予最小权重。随后，添加了十个加权栅格以进行地下水潜力分区。结果表明，研究区域的最大部分覆盖了低潜力区（31.88%），而高潜力区和极高潜力区分别覆盖了14.73%和5.08%。科学验证技术，即 AUC（曲线下面积）值为 0.737，表示地下水潜力区划分良好。此外，单层敏感性分析强调，高程、坡度、坡向、入渗数、距溪流距离和降雨量的有效权重最大。地图移除敏感性分析强调，TWI（地形湿度指数）和坡向对模型的影响最大。然而，在 Champhai 这样的丘陵环境中，当前研究的结果将作为规划和决策的蓝图。