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Modeling response of runoff and evapotranspiration for predicting water table depth in arid region using dynamic recurrent neural network

Article ID Journal Published Year Pages File Type
8870596 Groundwater for Sustainable Development 2018 21 Pages PDF
Abstract
Normalized actual versus predicted water table depth for scenario 1-5 in testing phase.86
Keywords
PrecipitationEvapotranspirationTemperatureRunoffRecurrent neural networkWater table
Related Topics
Life Sciences Environmental Science Pollution
Preview
Modeling response of runoff and evapotranspiration for predicting water table depth in arid region using dynamic recurrent neural network
Authors
Dillip Ghose, Umesh Das, Parthajit Roy,
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Groundwater for Sustainable Development
Journal: Groundwater for Sustainable Development
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