The danger of mapping risk from multiple natural hazards

被引:0
作者
Baoyin Liu
Yim Ling Siu
Gordon Mitchell
Wei Xu
机构
[1] University of Leeds,School of Earth and Environment
[2] University of Leeds,School of Geography
[3] Beijing Normal University,State Key Laboratory of Earth Surface Processes and Resource Ecology
来源
Natural Hazards | 2016年 / 82卷
关键词
Multi-hazard risk assessment; Risk index; Mathematical statistics; Economic loss; Human life loss;
D O I
暂无
中图分类号
学科分类号
摘要
In recent decades, society has been greatly affected by natural disasters (e.g. floods, droughts, earthquakes), and losses and effects caused by these disasters have been increasing. Conventionally, risk assessment focuses on individual hazards, but the importance of addressing multiple hazards is now recognised. Two approaches exist to assess risk from multiple hazards: the risk index (addressing hazards, and the exposure and vulnerability of people or property at risk) and the mathematical statistics method (which integrates observations of past losses attributed to each hazard type). These approaches have not previously been compared. Our application of both to China clearly illustrates their inconsistency. For example, from 31 Chinese provinces assessed for multi-hazard risk, Gansu and Sichuan provinces are at low risk of life loss with the risk index approach, but high risk using the mathematical statistics approach. Similarly, Tibet is identified as being at almost the highest risk of economic loss using the risk index, but lowest risk under the mathematical statistics approach. Such inconsistency should be recognised if risk is to be managed effectively, whilst the practice of multi-hazard risk assessment needs to incorporate the relative advantages of both approaches.
引用
收藏
页码:139 / 153
页数:14
相关论文
共 62 条
  • [1] Carpignano A(2009)A methodological approach for the definition of multi-risk maps at regional level: first application J Risk Res 12 513-534
  • [2] Golia E(2003)Social vulnerability to environmental hazards* Soc Sci Q 84 242-261
  • [3] Di Mauro C(2006)Comparative risk assessment for the city of Cologne—storms, floods, earthquake Nat Hazards 38 21-44
  • [4] Bouchon S(1997)Principle of information diffusion Fuzzy Sets Syst 91 69-90
  • [5] Nordvik JP(2000)Demonstration of benefit of information distribution for probability estimation Signal Process 80 1037-1048
  • [6] Cutter SL(2013)Exceedance probability of multiple natural hazards: risk assessment in China’s Yangtze River Delta Nat Hazards 69 2039-2055
  • [7] Boruff BJ(2012)Basic principles of multi-risk assessment: a case study in Italy Nat Hazards 62 551-573
  • [8] Shirley WL(2015)Social vulnerability assessment of geological hazards based on entropy method in Lushan earthquake-stricken area Arab J Geosci 8 10241-10253
  • [9] Grünthal G(2011)The 2011 eastern Japan great earthquake disaster: overview and comments Int J Disaster Risk Sci 2 34-42
  • [10] Thieken AH(1962)On estimation of a probability density function and mode Ann Math Stat 33 1065-1076