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The maximum flood inundation maps produced by BCNN and MIKE 21 during different rainfall events. Results on the left column are the predictions of flood inundation by the BCNN model, and on the right column by MIKE 21. The first line to the third line illustrate the rainfall events of “19960715”, “20050803”, “20080815”, respectively. The background of the picture is the topography of the area added shadows

The maximum flood inundation maps produced by BCNN and MIKE 21 during different rainfall events. Results on the left column are the predictions of flood inundation by the BCNN model, and on the right column by MIKE 21. The first line to the third line illustrate the rainfall events of “19960715”, “20050803”, “20080815”, respectively. The background of the picture is the topography of the area added shadows

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Urban flood risk management has been a hot issue worldwide due to the increased frequency and severity of floods occurring in cities. In this paper, an innovative modelling approach based on the Bayesian convolutional neural network (BCNN) was proposed to simulate the urban flood inundation, and to provide a reliable prediction of specific water de...

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