A deep convolutional neural network model for rapid prediction of fluvial flood inundation

Most of the two-dimensional (2D) hydraulic/hydrodynamic models are still computationally too demanding for real-time applications. In this paper, an innovative modelling approach based on a deep convolutional neural network (CNN) method is presented for rapid prediction of fluvial flood inundation....

Full description

Saved in:
Bibliographic Details
Main Authors: Syed Kabir, Sandhya Patidar, Xilin Xia, Qiuhua Liang, Jeffrey Neal, Gareth Pender
Format: Default Article
Published: 2020
Subjects:
Rapid flood modelling
Deep learning
Convolutional neural network
Machine learning
Flood inundation
Online Access:https://hdl.handle.net/2134/12933764.v1
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items