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Erschienen in:
2024 | OriginalPaper | Buchkapitel
Modelling of Groundwater Quality in Madurai Using ANN
verfasst von : M. Deepak, L. Andal, M. Ageshwaran, H. Ganesan, M. Parasuraman, K. S. Jeeva
Erschienen in: Environmental Engineering for Ecosystem Restoration
Verlag: Springer Nature Singapore
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Abstract
Groundwater resources are a critical constituent of the environment. The current article describes groundwater quality modelling based on WQI using ANN for drinking purposes in Madurai City. The primary objective is to design and develop an ANN-based model for predicting and simulating groundwater quality in Madurai. The model will be trained using water quality data; for carrying out the investigation, the data was collected from several parts of Madurai in the range of a 3.5 km radius, which represents 80 water samples in which qualitative parameters like TDS, SO4 2−, Cl−1, Mg2+, K+1, THS, pH, HCO3−1, Ca2+, Na+ , and WQI were estimated and modelled using the Levenberg–Marquardt algorithm (LMA) of ANN. It was observed that the ANN model values and the actual data fit well with statistical parameters like R2, MAE, and RMSE. The results indicate that the ANN models can predict very well. Such predictions could be beneficial in long-term planning to preserve the natural water table.