Rapid spatio-temporal prediction of coastal urban floods based on deep learning approaches

W Zhang, Y Liu, W Tang, S Chen, W Xie - Urban Climate, 2023 - Elsevier
Accurate real-time prediction of flood inundation ranges and water depths is crucial for
effective flood warning and disaster mitigation. However, traditional hydrodynamic flooding …

Integrated dynamic framework for predicting urban flooding and providing early warning

Y Zhou, Z Wu, H Xu, H Wang, B Ma, H Lv - Journal of Hydrology, 2023 - Elsevier
Urban flooding is a serious challenge in cities owing to global warming and rapid
urbanization; thus, urban flood forecasting is required to reduce losses. Nevertheless, owing …

Real-time prediction of the water accumulation process of urban stormy accumulation points based on deep learning

Z Wu, Y Zhou, H Wang - IEEE access, 2020 - ieeexplore.ieee.org
Influenced by climate change and urbanization, urban flood frequently occurs and
represents a serious challenge for many cities. Therefore, it is necessary to generate refined …

Case Study on Extreme Flood Forecasting Based on Ensemble Precipitation Forecast in Qingjiang Basin of the Yangtze River

T Peng, H Qi, J Wang - Journal of Coastal Research, 2020 - meridian.allenpress.com
ABSTRACT Peng, T.; Qi, HX, and Wang, JC, 2020. Case study on extreme flood forecasting
based on ensemble precipitation forecast in Qingjiang Basin of the Yangtze River. In: Guido …

Data-driven approach for the rapid simulation of urban flood prediction

HI Kim, KY Han - KSCE Journal of Civil Engineering, 2020 - Springer
Flooding due to the increase of heavy rainfall caused even larger damage in metropolitan
areas. Therefore, numerical simulation and probabilistic models have been used for flood …

CRML: A convolution regression model with machine learning for hydrology forecasting

C Chen, Q Hui, Q Pei, Y Zhou, B Wang, N Lv… - IEEE Access, 2019 - ieeexplore.ieee.org
Hydrologic disasters often result in substantial property damage and casualties. Therefore,
hydrology forecasting, especially the flooding, has become a hot research spot in all …

[HTML][HTML] Building ANN-based regional multi-step-ahead flood inundation forecast models

LC Chang, MZM Amin, SN Yang, FJ Chang - Water, 2018 - mdpi.com
A regional inundation early warning system is crucial to alleviating flood risks and reducing
loss of life and property. This study aims to provide real-time multi-step-ahead forecasting of …

[HTML][HTML] Simulation of Water Level and Flow of Catastrophic Flood Based on the CNN-LSTM Coupling Network

Y Xu, C He, Z Guo, Y Chen, Y Sun, Y Dong - Water, 2023 - mdpi.com
The occurrence of catastrophic floods will increase the uncertainty of hydrological
forecasting at downstream hydrological stations. In order to solve the problems of the …

Real-time flood forecast and flood alert map over the Huaihe River Basin in China using a coupled hydro-meteorological modeling system

GH Lu, ZY Wu, L Wen, CA Lin, JY Zhang… - Science in China Series E …, 2008 - Springer
A coupled hydro-meteorological modeling system is established for real-time flood forecast
and flood alert over the Huaihe River Basin in China. The system consists of the mesoscale …

[HTML][HTML] A multi-strategy-mode waterlogging-prediction framework for urban flood depth

Z Zhang, J Liang, Y Zhou, Z Huang… - … Hazards and Earth …, 2022 - nhess.copernicus.org
Flooding is one of the most disruptive natural disasters, causing substantial loss of life and
property damage. Coastal cities in Asia face floods almost every year due to monsoon …