Data‐driven flood emulation: Speeding up urban flood predictions by deep convolutional neural networks-Reference-Cited by-同舟云学术

Data‐driven flood emulation: Speeding up urban flood predictions by deep convolutional neural networks

Published:2020-12-07 Issue:1 Volume:14 Page:
ISSN:1753-318X
Container-title:Journal of Flood Risk Management
language:en
Short-container-title:J Flood Risk Management

Author:

Guo Zifeng¹^ORCID,Leitão João P.²,Simões Nuno E.³,Moosavi Vahid¹

Affiliation:

1. Chair of Digital Architectonics, Institute of Technology in Architecture (ITA), Department of Architecture Swiss Federal Institute of Technology Zurich (ETHZ) Zürich Switzerland

2. Department of Urban Water Management Swiss Federal Institute of Aquatic Science and Technology (Eawag) Dübendorf Switzerland

3. INESC Coimbra, Department of Civil Engineering University of Coimbra Coimbra Portugal

Publisher

Wiley

Subject

Water Science and Technology,Safety, Risk, Reliability and Quality,Geography, Planning and Development,Environmental Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfr3.12684

Reference50 articles.

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