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Risk Assessment of Disaster Chain: Experience from Wenchuan Earthquake-induced Landslides in China
  • ISSN号:1672-6316
  • 期刊名称:Journal of Mountain Science
  • 时间:2015.9.15
  • 页码:1169-1180
  • 分类:X4[环境科学与工程—灾害防治] P315.9[天文地球—地震学;天文地球—固体地球物理学;天文地球—地球物理学]
  • 作者机构:[1]National Disaster Reduction Center of China, Ministry of Civil Affairs, Beijing 100124, China
  • 相关基金:supported by the National Science Foundation of China (No. 41201553); the National Basic Research Program of China (No. 2013BAK05B02)
  • 相关项目:灾害链型巨灾风险评估方法研究——基于汶川地震、西南特大连旱案例
中文摘要:

这份报纸处理 Wenchuan 地震灾难链风险的构词的过程。选择地震山崩链风险被山崩排水量失败的概率极其基于 Newmarks 永久变丑的模型评估。在这上下文,地区性的灾难链风险评价的一个概念的模型被建议,在哪个危险构词的环境敏感与单个灾难风险评价相比是核心因素以及主要差别。灾难链风险是主要灾难风险和第二等的灾难风险的累积。从 Wenchuan 盒子导出的结果证明概念的模型对灾难链风险评价合适,特别突然的灾难链。这经验将在灾难链风险评价的概念的模型的申请提供更大的潜力,在大规模灾难风险统治的进程。

英文摘要:

This paper deals with the formative process of the Wenchuan earthquake disaster chain risk. Selected earthquake-landslides chain risk is critically evaluated by the probability of landslide displacement failure based on the Newmark's permanent-deformation model. In this context, a conceptual model of regional disaster chain risk assessment was proposed, in which the hazardformative environments sensitivity was the core factor as well as the main difference compared with single disaster risk assessment. The disaster chain risk is accumulation of primary disaster risk and the secondary disasters risks. Results derived from the Wenchuan case proved that the conceptual model was suitable for the disaster chain risk assessment, especially the sudden disaster chain. This experience would offer greater potential in application of conceptual model of disaster chain risk assessment, in the process of large-scale disaster risk governance.

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期刊信息
  • 《山地科学学报:英文版》
  • 主管单位:
  • 主办单位:中国科学院山地灾害与环境研究所
  • 主编:
  • 地址:四川成都一环路南二段16号
  • 邮编:610041
  • 邮箱:yudf@imde.ac.cn
  • 电话:028-85252110 85252044
  • 国际标准刊号:ISSN:1672-6316
  • 国内统一刊号:ISSN:51-1668/P
  • 邮发代号:
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  • 国内外数据库收录:
  • 英国农业与生物科学研究中心文摘,荷兰文摘与引文数据库,美国地质文献预评数据库,美国剑桥科学文摘,美国科学引文索引(扩展库)
  • 被引量:84