Abstract
The search for new groundwater resource is essential to sustained economic development in arid environment. The purpose of this study was to investigate new water sources using remote sensing and GIS methods. The thematic layers considered in this study are Lithology, Geomorphology, Drainage, Soil, Lineament, Land use and surface water body, which were prepared using the IRS-P6 LISS-III satellite imagery and conventional data. In addition, soil and drainage maps were digitized from published maps. The thematic layers were finally integrated using ArcGIS V 9.2 software to yield a groundwater potential zone map of the study area. Thus, three different groundwater potential zones were identified, namely \'good\', \'moderate\' and \'poor\'. This GIS based output result was validated using water level depth data collected from Institute of Water studies, PWD. Finally, it is concluded that the RS and GIS techniques are very efficient and useful for the identification of groundwater potential zones. Keywords: Groundwater, GIS, Remote Sensing, Thurinjapuram.
Highlights
Geospatial technology is a rapid and cost-effective tool in producing valuable data on geology, geomorphology, lineaments slope, etc. that helps in deciphering groundwater potential zone
Digital technique is used to integrate various data to delineate groundwater potential zone and solve other problems related to groundwater
The occurrence of groundwater in the study area is controlled by rock type, lineaments and landforms as revealed from geographical information system (GIS) analyses and field investigations
Summary
Geospatial technology is a rapid and cost-effective tool in producing valuable data on geology, geomorphology, lineaments slope, etc. that helps in deciphering groundwater potential zone. Digital technique is used to integrate various data to delineate groundwater potential zone and solve other problems related to groundwater. These various data are prepared in the form of a thematic map using geographical information system (GIS) software tool. This work aims to develop and apply integrated methods combining the information obtained by analyzing multi-source remotely sensed data in a GIS environment for better understanding the groundwater resource of the Thurinjapuram watershed in Thiruvannamalai district, Tamilnadu. To identify and delineate groundwater potential zones through integration of various thematic maps with GIS techniques, c). The area receives an average annual rainfall of about 806 mm
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