Chinh Luu
Integrating susceptibility maps of multiple hazards and building exposure distribution: a case study of wildfires and floods for the province of Quang Nam, Vietnam
Luu, Chinh; Forino, Giuseppe; Yorke, Lynda; Ha, Hang; Bui, Quynh Duy; Tran, Hanh Hong; Nguyen, Dinh Quoc; Duong, Hieu Cong; Kervyn, Matthieu
Authors
Dr Giuseppe Forino G.Forino@salford.ac.uk
Lecturer
Lynda Yorke
Hang Ha
Quynh Duy Bui
Hanh Hong Tran
Dinh Quoc Nguyen
Hieu Cong Duong
Matthieu Kervyn
Abstract
Natural hazards have serious impacts worldwide on society, economy, and environment. In Vietnam, through- out the years, natural hazards have caused significant loss of lives as well as severe devastation to houses, crops, and trans- portation. This research presents a new approach to multi- hazard (floods and wildfires) exposure estimates using ma- chine learning models, Google Earth Engine, and spatial analysis tools for a typical case study in the province of Quang Nam in Central Vietnam. A geospatial database is built for multiple-hazard modeling, including an inventory of climate-related hazards (floods and wildfires), topography, geology, hydrology, climate features (temperature, rainfall, wind), land use, and building data for exposure assessment. The susceptibility of each hazard is first modeled and then in- tegrated into a multi-hazard exposure matrix to demonstrate a hazard profiling approach to multi-hazard risk assessment. The results are explicitly illustrated for flood and wildfire hazards and the exposure of buildings. Susceptibility mod- els using the random forest approach provide model accu- racy of AUC (area under the receiver operating characteristic curve) = 0.882 and 0.884 for floods and wildfires, respec- tively. The flood and wildfire hazards are combined within a semi-quantitative matrix to assess the building exposure to different hazards. Digital multi-hazard exposure maps of floods and wildfires aid the identification of areas exposed to climate-related hazards and the potential impacts of haz- ards. This approach can be used to inform communities and regulatory authorities on where to develop and implement long-term adaptation solutions.
Citation
Luu, C., Forino, G., Yorke, L., Ha, H., Bui, Q. D., Tran, H. H., …Kervyn, M. (2024). Integrating susceptibility maps of multiple hazards and building exposure distribution: a case study of wildfires and floods for the province of Quang Nam, Vietnam. Natural Hazards and Earth System Sciences, 24, 4385-4408. https://doi.org/10.5194/nhess-24-4385-2024
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 7, 2024 |
Online Publication Date | Dec 5, 2024 |
Publication Date | Dec 5, 2024 |
Deposit Date | Dec 5, 2024 |
Publicly Available Date | Dec 5, 2024 |
Print ISSN | 1561-8633 |
Publisher | European Geosciences Union |
Peer Reviewed | Peer Reviewed |
Volume | 24 |
Pages | 4385-4408 |
DOI | https://doi.org/10.5194/nhess-24-4385-2024 |
Files
Published Version
(16.4 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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