An Exploration and Prediction of Rainfall and Groundwater Level for the District of Banaskantha, Gujrat, India

Authors

  • Nilesh N. Maltare, Dharmendra Sharma& Sachin Patel Author

Keywords:

Machine learning, SARIMA, Regression, Groundwater, Rainfall.

Abstract

The groundwater level is declining all over the world, especially in India. Some states, such as Rajasthan 
and Gujarat, are experiencing very low levels of groundwater. In this study, we explored the rainfall pattern and 
groundwater level of the Banaskantha district of Gujarat and predicted a rise in the groundwater level using 
SARIMA, multi-variable regression, ridge regression, and KNN regression. The results indicated that the water 
table is declining for Banaskantha, but due to an increase in irrigated land and good rainfall in previous years, the 
decline in groundwater level is not alarming according to earlier studies. Ridge regression was found to be the 
most suitable method, given the constraint of low data availability, especially in this particular study where the 
remote area of Banaskantha, Gujarat was considered. 

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Published

2023-05-31

Issue

Section

Articles

How to Cite

An Exploration and Prediction of Rainfall and Groundwater Level for the District of Banaskantha, Gujrat, India . (2023). International Journal of Environmental Sciences, 9(1), 1-17. https://theaspd.com/index.php/ijes/article/view/188