利用电阻率和GIS技术在印度南部Kadavanar次盆地定位地下水潜在带

D. Karunanidhi, M. Suresh, T. Subramani, B. Anand
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摘要

地理信息系统技术被广泛应用于通过人工回灌技术来确定地下水回灌的合适地点。目前的研究工作是确定在印度南部Kadavanar次盆地建造人工补给结构的合适地点。该流域的居民主要依靠地下水资源进行饮用和灌溉。地下水资源在该次流域的许多地区经常被过度开采以满足用水需求,导致地下水消耗。地下水补给带的制图需要大量的地表和地下信息和标准。这就是地理信息系统[GIS]提供正确动力的地方,除了地下水远景区之外,还可以利用多层空间数据,使多标准分析成为可能。该分析综合了历史降雨数据分析、地下水位波动、水系网络、含水层厚度、土地利用/土地覆盖和盆地坡度。利用卫星图像编制了水系图、坡度图和土地利用/土地覆被图。利用斯伦贝谢的电极配置,在盆地的50个地点进行了垂直电测深(VES)地球物理测量,以绘制含水层厚度。利用GIS生成了地下水位和含水层厚度的空间变化图。本文采用加权聚集法获得地下水补给图。最后,采用多准则分析方法,根据相关权重确定和评价地下水潜在补给点。结果表明,GIS最适合于地下水补给带的制图。类似的研究可以扩展到任何其他面临水危机的硬岩地区。
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Targeting groundwater potential zones using Electrical resistivity and GIS techniques in Kadavanar Sub-basin, South India
Geographical Information System techniques are widely used to determine suitable sites for groundwater recharge through artificial recharge techniques. The present research work is to identify suitable locations for constructing artificial recharge structures in the Kadavanar Sub-basin, South India. People in the Sub-basin mainly depend on the groundwater resources for drinking and irrigation purposes. Groundwater resources are often overexploited in many parts of this Sub-basin to meet the water demand leading to groundwater consumption. A lot of surfaces and sub-surface information and criteria are required for mapping the groundwater recharge zone. This is where the geographic information system [GIS] provides the right impetus besides the groundwater prospective zone to harness multilayered spatial data so that multi-criteria analysis is possible. This analysis integrates historic rainfall data analysis, groundwater level fluctuation, stream network, aquifer thickness, land use/land cover and basin slope. Drainage map, slope map and land use/land cover maps were prepared from satellite imageries. Vertical electrical sounding (VES) geophysical survey with Schlumberger electrode configuration was also conducted in the basin at 50 locations to map the aquifer thickness. Spatial variation maps for groundwater level and aquifer thickness were generated using GIS. Weighted aggregation method was used in this study to obtain groundwater recharge maps. Finally, multi-criteria analysis has been carried out to identify and assess the potential sites for groundwater recharge according to the associated weightages. It is established that GIS is best suited for the mapping of groundwater recharge zones. A similar study can be extended to any other hard-rock region facing water crises.
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