2013年芦山地震滑坡的影响因子交互统计分析
首发时间:2013-12-19
摘要:由于可以避免因子之间的相互依赖性,地震滑坡影响因子交互统计分析比二元统计分析更科学实用。经震后遥感解译与调查结果显示,2013年4月20日芦山Ms7.0级地震至少诱发了3878处以岩质滑动为主的滑坡灾害,滑坡密度约0.39个/km2。文章选取芦山县地震区一个大致以震中为中心的100km×100km正方形区域作为研究区来开展芦山地震滑坡空间分布特征及影响因子交互统计分析的研究工作。以GIS为操作平台,采用滑坡个数百分比与滑坡密度两个指标统计高程、坡度、坡向、斜坡曲率、地层岩性和PGA这6个滑坡因子与地震滑坡空间分布的关系。基于因子交互统计的方法,以坡度、地层岩性、PGA分别为地形、地质和地震这3大影响因素的代表因子,同时结合不同影响因子与滑坡分布规律分析结果,综合分析坡度、地层岩性和PGA是否限制其他影响因子影响地震滑坡。
关键词: 芦山地震 地震滑坡 空间分析 地理信息系统 交互统计分析
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Impact factor interact statistical analyses of landslides triggered by the 20 April 2013 Lushan earthquake
Abstract:Impact factor interact statistical analysis of earthquake-triggered landslides is more scientific and useful than bivariate statistical method because the interdependent of each impact factor of earthquake-triggered landslides can be avoided. It was indicated that at least 3,878 landslides induced by the 2013 Lushan Ms 7.0 earthquake based on a quick and emergency interpretation of aerial photographs and selected field investigation. A square area of 10,000 km2 area was selected as study area and the landslide density of the area is about 0.39 pieces/km2. Percentage of landslide number (PoLN) and landslide concentration (LC) was calculated based on GIS platform so as to carry out statistical analysis the distribution of the landslides with elevation, slope angle, slope aspect, slope curvature, lithology and PGA. Based on interact statistical method, slope angle, lithology, and PGA, which are the proxies of topographical, geological, and seismic factors of earthquake-triggered landslides, were used to discover whether slope angle, lithology, and PGA affect on other factors controlling the earthquake-triggered landslides occurrence.
Keywords: Lushan earthquake earthquake-triggered landslides spatial analysis geographic information system interact statistical analysis
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