A new framework for early-warning classification of urban waterlogging risk based on waterlogging risk angle
Bibliographic Data
| ID | 21230202 |
|---|---|
| Authors | Honglin Xiao (0000-0002-8940-3302, North China University of Water Resources and Electric Power), Jinping Zhang (0000-0003-3992-377X, Zhengzhou University, corresponding author), Fuqiang Wang (0000-0002-5500-9649, North China University of Water Resources and Electric Power), Lingli Kong (0000-0002-5808-2649, Zhengzhou University) |
| Year | 2025 |
| Volume | 127 |
| Pages | 106460 |
| Publication date | 2025-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2025.106460 |
| OpenAlex | W4410472141 |
| Language | EN |
| References cited | 42 |
Biology · Business · Computer security · Environmental planning · Risk assessment · Warning system · Computer Science · Engineering · Environmental Science · Flood Risk Assessment and Management · Tropical and Extratropical Cyclones Research · Urban Stormwater Management Solutions · Ecology
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Resilience assessment of subway system to waterlogging disaster
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Predicting future urban waterlogging-prone areas by coupling the maximum entropy and FLUS model
| Highly cited | No |
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