International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 10, Issue:1, January, 2021

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2021.10(1): 3327-3334

Forecasting Groundwater Level Fluctuation of Veppanthattai Block using Artificial Neural Network
Saranya1*, U. Arulanandu2, M. Kalpana2, P. Sujatha3 and R. Parimalarangan4
1Agricultural Statistics, 4Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore, India
2Department of Social Sciences, Anbil Dharmalingam Agricultural College and Research Institute, Thiruchirappalli, India
3Agricultural Engineering College and research institute, Thiruchirappalli, India
*Corresponding author

Groundwater is an essential source of water for the domestic, agricultural, and industrial sectors. Due to over-extraction, the trend of groundwater levels declining continues steadily. So, there is a need to monitor the behavior of fluctuations and the prediction of groundwater levels for making effective policies and management practices that support sustainable groundwater usage. In this study, fluctuations in the groundwater level of the Veppanthattai block observation wells were forecasted using Artificial Neural Networks (ANN). Multilayer Feed Forward Neural Network (FFNN) was selected for the network architecture and Levenberg- Marquardt (LM)algorithm was used for training the data. The performance of the network was evaluated by Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE) and Theil’s U and the optimal networks of observation wells were discussed.

Keywords: Artificial Neural Network, Feed Forward Neural Network, Back Propagation, Levenberg- Marquardt algorithm

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How to cite this article:

Saranya, A., U. Arulanandu, M. Kalpana, P. Sujatha and Parimalarangan, R. 2021. Forecasting Groundwater Level Fluctuation of Veppanthattai Block using Artificial Neural Network.Int.J.Curr.Microbiol.App.Sci. 10(1): 3327-3334. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.