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Susceptibility and risk assessment of earthquake-induced landslides based on Landslide Response Units in the Subao River basin, China

机译:基于Subao流域滑坡响应单元的地震诱发滑坡敏感性和风险评估

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摘要

Generally, pixels are the basic unit for assessment of landslide susceptibility. However, even if the results facilitate the comparison, a pixel-based analysis does not clearly illustrate the distribution relationships. To eliminate this deficiency, the concept of the Landslide Response Unit (LRU) is proposed in this study, for which adjacent pixels that have similar properties are combined as a basic unit for susceptibility assessment. The Subao River basin, seriously impacted by the Wenchuan Earthquake, was selected as the study area, and three factors including slope gradient, slope aspect, and slope shape, which have a significant impact on landslides, were chosen to divide the basin into 25,984 LRUs. Then topographic, geologic, and distance factors were applied for the landslide susceptibility evaluation. The logistic regression method was used to establish the susceptibility assessing model by analyzing 2,000 susceptible LRUs and 2,000 un-susceptible LRUs. The model accuracy was denned in terms of the ROC curve value and the k value, 0.531 and 0.84, respectively. The susceptibility of landslides was divided into low, moderate, high, and very high in Subao River basin, and 73% of historical landslides and all four new landslides are in the highly susceptible zone and very highly susceptible zones. Finally, the LRUs with houses, farmlands, and roads prone to sliding and burial hazard were assessed separately. On the basis of considering the potential movement directions of the LRUs, the result found that 1,001 and 835 LRUs probably would be destroyed by slope sliding and landslide burial, respectively.
机译:通常,像素是评估滑坡敏感性的基本单位。但是,即使结果有助于比较,基于像素的分析也不能清楚地说明分布关系。为了消除这种缺陷,本研究提出了滑坡响应单位(LRU)的概念,将具有相似属性的相邻像素合并为敏感性评估的基本单位。选择受汶川地震严重影响的Subao河流域为研究区域,选择坡度,坡度,坡度对滑坡有重要影响的三个因素,将流域划分为25984个LRU。 。然后将地形,地质和距离因素应用于滑坡敏感性评价。通过分析2,000个敏感LRU和2,000个不敏感LRU,使用logistic回归方法建立了敏感性评估模型。根据ROC曲线值和k值(分别为0.531和0.84)确定模型精度。 Subao河流域的滑坡易感性分为低,中,高和极高,其中73%的历史滑坡和所有四个新的滑坡都位于高敏感区和极高敏感区。最后,分别评估了带有房屋,农田和易于滑倒和埋葬的道路的LRU。在考虑LRU的潜在运动方向的基础上,结果发现,分别有1001个LRU和835个LRU可能会被边坡滑坡和滑坡埋葬所破坏。

著录项

  • 来源
    《Environmental Geology》 |2012年第4期|p.1037-1047|共11页
  • 作者单位

    Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China,Graduate University of Chinese Academy of Sciences, Beijing 100049, China;

    Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China;

    Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China;

    Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China,Graduate University of Chinese Academy of Sciences, Beijing 100049, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    landslide susceptibility; landslide response unit; logistic regression; wenchuan earthquake;

    机译:滑坡敏感性滑坡响应单元逻辑回归汶川地震;

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