Descriptive and Predictive Analytics of Groundwater

Abstract

Groundwater contributes as one of the most important sources of water for a country's water requirements. It is majorly used as a source for irrigation, domestic usage and most industries. With its constant usage, there is a possibility of overexploitation of groundwater by any of these major sectors. Therefore, it is essential to monitor and mitigate the usage of groundwater region-wise and prevent its exhaustion by analysing the level of groundwater used in these major sectors. Before using data analytics, assessing the level of groundwater was possible only a few days in advance but with the advancement in data analytics and predictive methods, accurately predicting groundwater is now achievable. The proposed model determines the regions, sectors accountable for the decline in groundwater availability and provides a solution to these respective regions by taking account of the major plantation pattern and wells used in that area.