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- W2315012103 abstract "Water is a renewable resource and we are utilizing only less than 15% of surplus water from rainfall for domestic, irrigation, industrial and other research purposes. Due increased population, industrial development and fashion of living from the society has always experienced the problem of shortage of water and higher level of groundwater pollution. In order to meet such shortage it is necessary to know the groundwater level at various locations for its availability and sustainability of aquifer system to meet future demand. The prediction of groundwater level is one of the challenging aspects to understand the groundwater resource in order replicate the exact field condition. Groundwater fluctuation level prediction is consists of many practical uncertainties and result with inaccuracy in prediction by many mathematical approaches. Advanced Fuzzy logic is an excellent mathematical tool to handle such uncertainty issues. In this paper, an approach were made by using Adaptive Neuro Fuzzy Inference System (ANFIS) to predict the groundwater level fluctuation in Amaravathi river minor basin." @default.
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- W2315012103 date "2014-07-25" @default.
- W2315012103 modified "2023-09-25" @default.
- W2315012103 title "Fuzzy Logic Model for the Prediction of Groundwater Level in Amaravathi River Minor Basin" @default.
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- W2315012103 doi "https://doi.org/10.14445/22315373/ijmtt-v11p505" @default.
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