National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
An experiment was conducted to study the groundwater recharge through rainfall and artificial recharge structures in selected dry well at different locations of Ambedkarnagar District, UP. The results of the study concluded that the autoregressive time series model can be used effectively to predict the pre and post monsoon ground water level the better predictions will help the Farmers and policy makers to optimally utilize the groundwater resources. It is providing the solutions to execute the artificial recharge structure at the appropriate locations with best geological condition to enhance the recharge rate at least cost for control of declining groundwater level. It reveals that the stochastic auto regressive lime series model is an effective tool for management of ground water resource in Ambedkarnagar district of Uttar Pradesh state.
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