High resolution multiple scenario simulations of future extreme sea levels in hong kong and socioeconomic risks
Abstract Extreme sea levels (ESLs) induce significant risks to Hong Kong. With climate change, the risks will be amplified, while existing studies have not provided fine-grained simulations of Hong Kong’s future ESL exposure and its socio-economic risks. Employing a GIS-based coastal flood inundatio...
Saved in:
| Main Authors: | Zhang Chen, Sicheng Jiang, Xindan Liang, Hongsheng Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-09388-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Integrating Machine Learning and Geospatial Data for Mapping Socioeconomic Vulnerability to Urban Natural Hazard
by: Esaie Dufitimana, et al.
Published: (2025-04-01) -
Diagnostic préventif de la vulnérabilité des constructions résidentielles pour leurs occupants face au risque de submersion marine appliqué à l’île de Noirmoutier (Vendée, France)
by: Axel Creach, et al.
Published: (2017-05-01) -
Impact of climate change scenario on sea level rise and future coastal flooding in major coastal cities of India
by: Rabin Chakrabortty, et al.
Published: (2025-08-01) -
Integrated coastal vulnerability index for coastal flooding: A case study of the Croatian coast
by: Ivan Marić, et al.
Published: (2024-12-01) -
Exploring Storm Tides Projections and Their Return Levels Around the Baltic Sea Using a Machine Learning Approach
by: Kévin Dubois, et al.
Published: (2025-04-01)