Abstract
The present research work is aimed to identify the groundwater potential zones in the Palar River Basin (PRB). The Auto Regressive Integrated Moving Average (ARIMA) model, and geospatial techniques were used to determine the Groundwater Potential Zone (GPZ). Time series analysis is commonly used in a broad range of scientific applications including hydrology, metrology, geo-statistics, engineering and environmental management fields. The geospatial historical data of rainfall and water level recorded at yearly intervals for 14 years (2005 to 2018) was used to identify the fluctuation of water level with respect to rainfall with lower and upper confidence levels and eventually leads to identify the spatial variation of the groundwater potential zones. The ARIMA model evolved from analysis was further classified into Four types of goodness of fits namely excellent fit, good fit, poor fit, and no fit. The spatial variation of groundwater potential occurrence and behaviour of the region is controlled by geology, lineament, geomorphology and drainage. These layers have been integrated with the ArcGIS platform for generating Groundwater Potential Zone (GPZ) maps. The validation of the result shows that Excellent fits 40 wells (12.82%), good fits 108 wells (34.62%), poor fits 58 wells (16.66%), and no fits 106 wells (33.97%), the study area good groundwater potential zones approximately 47.44%. This research suggests that a good groundwater potential zone occurs in patches of the southern and eastern parts of the study area.
An Approach to Mapping Groundwater Recharge Potential Zones using Geospatial Techniques in Kayadhu River Basin, Maharashtra
