INTERNATIONAL RESEARCH JOURNAL OF SCIENCE ENGINEERING AND TECHNOLOGY

( Online- ISSN 2454 -3195 ) New DOI : 10.32804/RJSET

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PREDICTION OF GROUNDWATER LEVELS USING HISTORICAL RAINFALL SCOPE FOR PREDICTION THROUGH MACHINE LEARNING [ A CASE STUDY IN ANDHRA PRADESH]

    5 Author(s):  VENUGOPAL K,SRINIVASU N ,SHILPA,SHRABANI,K. RAJESWARAN

Vol -  12, Issue- 2 ,         Page(s) : 26 - 30  (2022 ) DOI : https://doi.org/10.32804/RJSET

Abstract

Prediction of groundwater levels post monsoon for monsoon rainfalls is important to plan for management of of groundwater resources. The prediction can be made by using historical data through statistical and machine learning technique. In this paper statistical methods have been used to predict groundwater levels in response to monsoon rainfall. A close correlation was found for magnitude and water table fluctuation. This shows that modern methods like machine learning can be used to train data to predict ground water levels

Tehar Rajaee etal. Hadi Ebrahimi, Vahid Nourani( 2018), “ A review of the artificial Intelligence methods in groundwater level modelling”, Journal of hydrology ( accepted manuscript)
Yoon, H., Hyun, Y., Lee, K.K., Kim, G,B., 2016, A method to improve stability and accuracy of ANN and SVM based time series models for long term groundwater level predictions. Comput, Geosci.90, 144-155
Data of groundwater levels from APGW& Water audit department, Rainfall data from APSDPS

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