Multiscale Climate Change Risks Assessment - Liu, Lulu
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Climate change risks arise from the interaction of climate-related hazards (extreme weather/climate events) with the exposure and vulnerabilities of human and natural systems. Based on multi-source climate and socio-economic data, the nonlinear regression method and Copula function were used to identify the impacts of single-hazard extreme events and multi-hazard compound events, and to analyze the risks of extreme events such as drought, heatwave and flood during the global warming of 1.5°C and 2°C. Combined the three-factor (hazard, exposure, and vulnerability) climate change risk assessment…mehr

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Produktbeschreibung
Climate change risks arise from the interaction of climate-related hazards (extreme weather/climate events) with the exposure and vulnerabilities of human and natural systems. Based on multi-source climate and socio-economic data, the nonlinear regression method and Copula function were used to identify the impacts of single-hazard extreme events and multi-hazard compound events, and to analyze the risks of extreme events such as drought, heatwave and flood during the global warming of 1.5°C and 2°C. Combined the three-factor (hazard, exposure, and vulnerability) climate change risk assessment methodology, the socio-economic risk of extreme events, integrate risk of risk-bearing bodies (i.e., population, economy) were quantitatively assessed.
Autorenporträt
Dr. Lulu Liu, Research Assistant at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. His main research interests focus on climate change and natural disaster risks assessment.