An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting
In recent years, the frequent occurrence of extreme rainstorms has been prone to causing urban flood disasters, directly affecting people's lives and property safety. To enhance the level of urban emergency management and effectively formulate urban disaster pre vention and mitigation strategie...
Saved in:
| Main Authors: | CHEN Zeming, FANG Xuhong, LI Jiaye, WANG Mengyao, CHEN Aifang, YIN Ling |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Pearl River
2025-01-01
|
| Series: | Renmin Zhujiang |
| Subjects: | |
| Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2025.01.002 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Thematic Fragmentation and Convergence in Urban Flood Simulation Research: A 45-Year Bibliometric Mapping
by: Ahmad Gamal, et al.
Published: (2025-07-01) -
Assessment of Rainfall Forecasts and Flood Risk in a Coastal Urban Catchment Considering Different Urban Canopy Scenarios
by: Mousumi Ghosh, et al.
Published: (2025-03-01) -
Breaking Down the Computational Barriers to Real‐Time Urban Flood Forecasting
by: Valeriy Y. Ivanov, et al.
Published: (2021-10-01) -
Urban flood forecasting with multi-output neural networks: a physically-based and data-driven approach
by: Renata Bulling Magro, et al.
Published: (2025-05-01) -
Flood prediction in urban areas based on machine learning considering the statistical characteristics of rainfall
by: Se-Dong Jang, et al.
Published: (2025-04-01)