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基于点模式的地震重灾区滑坡空间分布特征研究

Research on characteristics of landslide spatial distribution in earthquake heavy disaster area based on point pattern

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【作者】 李珊珊黄翔宫辉力李靖叶俊涛

【Author】 LI Shanshan;HUANG Xiang;GONG Huili;Li Jing;YE Juntao;Beijing Municipal Research Institute of Environmental Protection;National Engineering Research Center of Urban Environmental Pollution Control;State Environmental Protection Engineering(Beijing) Center for Industrial Wastewater Pollution Control;Qingdao Research Academy of Environmental Sciences;College of Resources Environment and Tourism Capital Normal University;State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation;

【机构】 北京市环境保护科学研究院国家城市环境污染控制工程技术研究中心国家环境保护工业废水污染控制工程技术(北京)中心青岛市环境保护科学研究院首都师范大学资源环境与旅游学院城市环境过程与数字模拟国家重点实验室培育基地

【摘要】 受自然环境因子(如地形地貌、地层岩性、地质构造等)和诱发因素(如降雨、地震等)的影响,滑坡在空间上的分布特征极其复杂,但其空间分布仍具有内在的规律。本文以"汶川地震"极端事件为时间分段点,采用基于样方的点模式分析法对汶川地震重灾区滑坡的空间分布特征进行了分析,得出滑坡点群在震前和震后均呈空间聚集模式分布。这说明由于受各环境因子及其因子组合作用,汶川地震重灾区滑坡的发生无论在震前还是震后并非随机事件,其滑坡点的空间分布具有统计意义上的自相似结构,且无特征尺度。

【Abstract】 By the impact of the natural environmental factors(such as topography,stratum lithology,geological structure,etc.) and the inducing factors(such as rainfall,earthquakes,etc.),the characteristics of the landslides distribution in space are extremely complex,however,its spatial distribution still has internal rules. This paper takes the time of "Wenchuan earthquake"extreme event as the time phasing point,quadrat-based point pattern analysis of landslide point space distribution indicates that the landslide point group showes a spatial agglomeration model before and after the earthquake. This results demonstrate that the occurrence of landslide in the study area are not random events before and after the earthquake,but the results of the natural environmental factors,or factors combination; and the landslide point spatial distribution of Wenchuan earthquake heavy disaster area has selfsimilar structure in statistical sence,no characteristic scale.

【基金】 国家自然科学基金项目(41071074);国家自然科学基金青年基金项目(NSFC 40901227)
  • 【文献出处】 自然灾害学报 ,Journal of Natural Disasters , 编辑部邮箱 ,2015年02期
  • 【分类号】P642.22
  • 【下载频次】194
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