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Trend Analysis of Groundwater via RS & GIS


Zafar Beg , MANIT BHOPAL; Dr. Jyoti Sarup, MANIT BHOPAL


Remote Sensing, Indian Remote Sensing (IRS), Geographic Information System Linear Imaging Self Scanner (LISS), Land use Land cover


"This work deals with the long term of groundwater level, water level irregularity study and its correlation with rainwater for enhancement of ground water via remote sensing (RS) and geographical information systems (GIS) based technology. For the groundwater situation well inventory and rainwater data required, so for this study water samples were collected from 52 observation open wells and bore wells for the period of 12 years and rainfall data that was used for the period of 14 years. The geophysical data in the study area extract from the IRS-LISS-IV and with the help of land use land cover (LULC), Digital elevation models (DEM) and Topographical map on 1:50,000 scales trend was analyze. For the trend of ground water spatio- temporal variations map of the entire study area have been prepared using GIS spatial data also used for analyzing ground water trend information using spline interpolation in GIS. At last, by integrating the geophysical data, and the groundwater conditions data, the trend of groundwater of the study area has been found by means of tool in ArcGIS10.2, This integrated study facilitates to propose an appropriate groundwater management map for a study area." This work also showed that though the mean precipitation in the study area is above 1100 mm, however the mean ground water level in this region is very shallow for the most part in the study area for the duration of pre monsoon in May. That is possibly because of the urbanisation and hilly terrain in the study area which do not permit water to penetrate into the sub-surface, and consequently the water gets away as runoff and somewhat finds infiltrate into the ground to sustain shallow WT, hence the result shows study areas are subjected to drought caused by a steady decline in the ground water level.

Other Details

Paper ID: IJSRDV5I30165
Published in: Volume : 5, Issue : 3
Publication Date: 01/06/2017
Page(s): 54-59

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