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来源类型Article
规范类型其他
DOI10.1142/S2345737616500044
Impacts of Global and Climate Change Uncertainties for Disaster Risk Projections: A Case Study on Rainfall-Induced Flood Risk in Bangladesh.
Hochrainer-Stigler S; Mochizuki J; Pflug G
发表日期2016
出处Journal of Extreme Events 3 (1): art.no.1650004
出版年2016
语种英语
摘要Future risks linked to extreme events and options for managing them are receiving increasing attention in the research and policy arena, where uncertainty is considered to be one of the most challenging aspects in regard to disasters triggered by natural hazards. To shed more light on this issue, this study conducts a detailed uncertainty assessment of a forward-looking country level catastrophe risk model for extreme flood events in Bangladesh and identifies how various sources of uncertainties contribute to the variability in modeling results. Alternative assumptions of climate, exposure and vulnerability parameters show that scenario uncertainty regarding socio-economic development — and exposure in particular — seems to dominate other sources of uncertainty. Importantly, this trend is particularly notable for the estimate of extreme events rather than annual average losses and for the prediction over the longer-time horizons rather than near future. It is concluded that there is ample need to better understand how future vulnerability and exposure will develop as they found to be core determinants of risk, apart from climate change, for increases in extreme losses. One viable way is the incorporation of bottom-up assessment of exposure asset build-up and further analysis of vulnerability drivers, which could reduce epistemic uncertainty regarding projection of catastrophic economic losses into future. It is suggested that the concept of “iterative risk management” may provide a feasible way to achieve reduction of these uncertainties in a step-by-step basis.
主题Risk & ; Resilience (RISK) ; Risk, Policy and Vulnerability (RPV)
关键词Extremes uncertainty global change climate change vulnerability flooding Bangladesh
URLhttp://pure.iiasa.ac.at/id/eprint/13890/
来源智库International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/130787
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GB/T 7714
Hochrainer-Stigler S,Mochizuki J,Pflug G. Impacts of Global and Climate Change Uncertainties for Disaster Risk Projections: A Case Study on Rainfall-Induced Flood Risk in Bangladesh.. 2016.
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