DOI: 10.1007/s11069-019-03842-7
论文题名: Modeling the residential building stock in the Middle East for multi-hazard risk assessment
作者: Dabbeek J. ; Silva V.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2020
卷: 100, 期: 2 起始页码: 781
结束页码: 810
语种: 英语
中文关键词: Earthquake
; Exposure
; Flood
; Middle East
; Multi-hazard
; Residential buildings
英文关键词: building
; hazard assessment
; modeling
; risk assessment
; spatial resolution
; taxonomy
; Middle East
英文摘要: This study presents an exposure model for the residential building stock in the Middle East, developed for the purpose of multi-hazard risk assessment. The exposure model provides the number of buildings, number of dwellings and population in 12 countries with their corresponding physical characteristics, geographical location and economic value. The main sources of data used to develop this model were housing and population census surveys, existing literature and the judgment of local experts. The study also includes an overview of the most common building types in different parts of the region. A simplified multi-hazard exposure taxonomy is introduced to identify relevant building features according to the type of natural hazard. The exposure model was disaggregated at a fine spatial resolution, using a combination of various remote-sensing datasets, and overlapped with hazard maps to identify population and buildings exposed to floods and earthquakes. The results from this study represent a significant step toward a better understanding of risk due to natural hazards in Jordan, Syria, Palestine, Saudi Arabia, Lebanon, United Arab Emirates, Yemen, Oman, Kuwait, Qatar, Bahrain and Iraq. © 2019, Springer Nature B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168446
Appears in Collections: 气候变化与战略
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作者单位: University School for Advanced Studies (IUSS), Pavia, Italy; Global Earthquake Model Foundation (GEM), Pavia, Italy; Faculty of Science and Technology, University Fernando Pessoa, Porto, Portugal
Recommended Citation:
Dabbeek J.,Silva V.. Modeling the residential building stock in the Middle East for multi-hazard risk assessment[J]. Natural Hazards,2020-01-01,100(2)