Integrated remote sensing and factor analytic GIS model for evaluation of groundwater pollution a case study

Abstract

The water and land resources are under enormous stress due to growing population and also to meet their demands. Because of the multi farious use of natural processes and human activities are adding pollutions to the groundwater. Compared to surface water, ground water is more dependable source for human beings. The potential of the ground water contamination depends on environmental parameters of surface, above surface and sub-surface level. The usability of water is based on the quality as well as quantity of ground water mostly the rock formation, capacity of recharge and discharge conditions of the particular area influences the quality of ground water. About one third of solar flux absorbed by the earth is used to drive the hydrological cycle. Precipitation provides us with water supply and reserves of fresh water. Water due to precipitation reaching the ground water reservoir has to pass through soil and weathered / fractured rock. In this process it comes in contact with several organic and inorganic substances. The decision making of ground water pollution potential(GWPP) evaluation is based on multiple criteria. The information which is necessary for ground water pollution potential is either insufficient or not available as the storage, collection and processing of this information is complicated. Hence the surface and subsurface characteristics are very important for GWPP studies. In this process, the remote sensing and the ancillary data will be of high potential for the synergistic use and development. Ground water samples have been collected from the study area to carry out the qualitative investigations. newline