Abstract:The real-time forecasting of flooding event and pollution emergency has a significant impact on the robust of urban lake and groundwater coupled system. However, the traditional statistical based prediction method is too rough while numerical based method is very time-consuming. In this study, a framework integrating surface water-groundwater coupled numerical model and surrogate model for real-time forecasting was proposed. The Artificial Neural Network (ANN) algorithm was used to train the surrogate model. T… Show more
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