当前位置: X-MOL 学术Earth Sci. Inform. › 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.)
Multi-influencing factor method for delineation of groundwater potential zones using remote sensing and GIS techniques in the western part of Perambalur district, southern India
Earth Science Informatics ( IF 2.8 ) Pub Date : 2019-12-17 , DOI: 10.1007/s12145-019-00426-8
S. Anbarasu , K. Brindha , L. Elango

Identification of groundwater recharge zones in an area is important to properly utilize and safeguard the groundwater resources. The objective of this study is to delineate the groundwater potential zones in the Chinnar River basin of Perambalur district, southern India, using remote sensing and GIS methods. Toposheets and satellite imageries were used to prepare various thematic maps such as geology, soil, drainage density, slope, lineament density, geomorphology, and land use. These data were combined with the weighted overlay method to demarcate the groundwater potential zones. Multi-influencing factor (MIF) method was used to derive the weights for the seven layers, and ranks were assigned to the features within the layers based on local knowledge and from literature. The study suggests that the geology, slope, land use, and geomorphology features play a major role in determining the availability of groundwater in the study area. The groundwater potential was high in 54%, medium in 21%, and low in 25% of the study area. The groundwater level fluctuation that varies based on the rainfall and different rock types was used to validate the groundwater potential map. Areas with high groundwater potential had the lowest groundwater fluctuation compared with the medium and low groundwater potential areas. Sensitivity analysis showed that excluding the land use and geomorphology features will have the highest impact on identifying the groundwater potential zones. Determination of effective weights indicated that land use, geomorphology, and slope have higher weights than the assigned weights. The results show that the delineated groundwater potential zones can be used in the future for groundwater resource management in the study area.

中文翻译:

印度南部Perambalur区西部地区使用遥感和GIS技术绘制地下水潜力区的多影响因子方法

确定一个地区的地下水补给区对于正确利用和保护地下水资源很重要。这项研究的目的是利用遥感和GIS方法勾勒出印度南部Perambalur区Chinnar河盆地的地下水潜在地带。地形图和卫星图像用于准备各种主题地图,例如地质,土壤,排水密度,坡度,线粒密度,地貌和土地利用。这些数据与加权叠加法相结合,以划定地下水的潜在区域。使用多影响因子(MIF)方法得出七个图层的权重,并根据本地知识和文献将等级分配给图层中的要素。研究表明,地质,坡度,土地利用,地貌特征在确定研究区域地下水的可利用性方面起着重要作用。研究区域的地下水潜力较高,为54%,中等为21%,较低为25%。根据降雨和不同岩石类型而变化的地下水位波动被用于验证地下水位图。与中低地下水位地区相比,高地下水位地区的地下水波动最小。敏感性分析表明,排除土地利用和地貌特征对识别地下水潜在区带的影响最大。确定有效权重表明,土地使用,地貌和坡度的权重高于分配的权重。
更新日期:2019-12-17
down
wechat
bug