Flood risk assessment of coastal cities based on GCW_Isodata and explainable artificial intelligence methods
Bibliographic Data
| ID | 22025422 |
|---|---|
| Authors | Yawen Zang (Hohai University), Huimin Wang (0000-0002-1260-7032, Tianjin University), Zhenzhen Liu (0000-0002-4853-2474, Hohai University), Jing Huang (0000-0002-6205-0025, Hohai University, corresponding author) |
| Year | 2024 |
| Volume | 115 |
| Pages | 105025 |
| Publication date | 2024-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Disaster Risk Reduction (JOURNAL) |
| Journal identifiers | ISSN: 2212-4209 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijdrr.2024.105025 |
| OpenAlex | W4404884909 |
| Language | EN |
| References cited | 44 |
Environmental resource management · Flood myth · Geography · Engineering · Environmental Science · Flood Risk Assessment and Management · Hydrological Forecasting Using AI
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Study on spatiotemporal distribution characteristics of flood and drought disaster impacts on agriculture in China
Urban flooding risk assessment based on GIS- game theory combination weight
“Not enough”
Risk assessment of flood disasters in the Poyang lake area
Study on urban flood early warning system considering flood loss
Towards flood risk mapping based on multi-tiered decision making in a densely urbanized metropolitan city of Istanbul
Flood risk index development at the municipal level in Costa Rica
A fine-scale spatial analytics of the assessment and mapping of buildings and population at different risk levels of urban flood
| Highly cited | No |
|---|