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Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep
  Convolutional Neural Networks
v1v2 (latest)

Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks

Journal of Flood Risk Management (JFRM), 2020
17 April 2020
Zifeng Guo
J. Leitão
N. Simões
V. Moosavi
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks"

12 / 12 papers shown
Optimizing Sensor Placement in Urban Storm Sewers: A Data-Driven Sparse Sensing Approach
Optimizing Sensor Placement in Urban Storm Sewers: A Data-Driven Sparse Sensing Approach
Zihang Ding
Kun Zhang
86
0
0
06 Nov 2025
Climate Adaptation-Aware Flood Prediction for Coastal Cities Using Deep Learning
Climate Adaptation-Aware Flood Prediction for Coastal Cities Using Deep Learning
Bilal Hassan
A. Karapetyan
Aaron Chung Hin Chow
S. Madanat
AI4CE
123
0
0
29 Oct 2025
A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping
A Comprehensive Survey on Deep Learning Solutions for 3D Flood MappingPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025
Wenfeng Jia
Bin Liang
Yuxi Liu
Muhammad Arif Khan
Lihong Zheng
AI4CE
113
3
0
16 Jun 2025
Deep Vision-Based Framework for Coastal Flood Prediction Under Climate
  Change Impacts and Shoreline Adaptations
Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations
A. Karapetyan
Aaron Chung Hin Chow
S. Madanat
AI4CE
201
3
0
06 Jun 2024
Can physical information aid the generalization ability of Neural
  Networks for hydraulic modeling?
Can physical information aid the generalization ability of Neural Networks for hydraulic modeling?
Gianmarco Guglielmo
A. Montessori
J. Tucny
M. Rocca
P. Prestininzi
AI4CE
151
5
0
13 Mar 2024
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for
  Machine Learning and Process-based Hydrology
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology
Qingsong Xu
Yilei Shi
Jonathan Bamber
Ye Tuo
Ralf Ludwig
Xiao Xiang Zhu
AI4CE
927
22
0
08 Oct 2023
AI Foundation Models for Weather and Climate: Applications, Design, and
  Implementation
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation
S. K. Mukkavilli
Daniel Salles Civitarese
J. Schmude
Johannes Jakubik
Anne Jones
...
R. Ganti
Hendrik Hamann
U. Nair
Rahul Ramachandran
Kommy Weldemariam
AI4ClAI4CE
293
26
0
19 Sep 2023
Rapid Flood Inundation Forecast Using Fourier Neural Operator
Rapid Flood Inundation Forecast Using Fourier Neural Operator
Alexander Y. Sun
Zhi Li
Won-Bo Lee
Qixing Huang
B. Scanlon
Clint Dawson
AI4CE
227
19
0
29 Jul 2023
A comparison of machine learning surrogate models of street-scale
  flooding in Norfolk, Virginia
A comparison of machine learning surrogate models of street-scale flooding in Norfolk, VirginiaMachine Learning with Applications (MLWA), 2023
Diana McSpadden
S. Goldenberg
Bina Roy
M. Schram
J. Goodall
H. Lipford
AI4CE
168
10
0
26 Jul 2023
Improving Urban Flood Prediction using LSTM-DeepLabv3+ and Bayesian
  Optimization with Spatiotemporal feature fusion
Improving Urban Flood Prediction using LSTM-DeepLabv3+ and Bayesian Optimization with Spatiotemporal feature fusionJournal of Hydrology (J Hydrol), 2023
Zuxiang Situ
Qi Wang
Shuai Teng
Wanén Feng
Gongfa Chen
Qianqian Zhou
G. Fu
AI4CE
134
57
0
19 Apr 2023
An evaluation of deep learning models for predicting water depth
  evolution in urban floods
An evaluation of deep learning models for predicting water depth evolution in urban floods
S. Russo
Nathanael Perraudin
Steven Stalder
Fernando Perez-Cruz
J. Leitão
G. Obozinski
Jan Dirk Wegner
AI4CE
144
0
0
20 Feb 2023
Towards Daily High-resolution Inundation Observations using Deep
  Learning and EO
Towards Daily High-resolution Inundation Observations using Deep Learning and EO
A. Dasgupta
Lasse Hybbeneth
B. Waske
AI4CE
210
3
0
10 Aug 2022
1
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