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Urgent landslide susceptibility assessment in the 2013 Lushan earthquake-impacted area, Sichuan Province, China

机译:2013年中国四川省庐山地震灾区紧急滑坡敏感性评估

摘要

The Lushan earthquake with magnitude M (s) 7.0 (M (w) 6.6, USGS) in Sichuan Province, China, triggered a large number of landslides, which seriously aggravated the earthquake's destructive consequences. This paper mainly focuses on the methodology of the urgent landslide susceptibility assessment right after the earthquake. The detailed landslide inventory (including 5,688 landslides) is prepared by means of urgent post-earthquake landslide field survey, landslide remote sensing interpretation of multi-source remote sensing images including high-resolution unmanned aerial vehicle images and historical landslide archives. Ten remarkable causative factors for landslide occurrence have been selected to conduct the landslide susceptibility assessment, including earthquake intensity, landslide density and slope gradient. An integration assessment approach is developed to facilitate the effective urgent post-earthquake landslide susceptibility assessment using three methods: factor sensitivity analysis, analytical hierarchy process and factor-weighted overlay. Such integration can effectively reduce the subjectivity and uncertainty resulting from using single method. The validation evaluation using the area under curve suggests the landslide susceptibility assessment results have satisfactory accuracy, and the suggested methodology is effective for the urgent post-earthquake landslide susceptibility assessment. The study results reveal that earthquake intensity and slope gradient are the two most important causative factors for post-earthquake landslide occurrence in the Lushan earthquake-impacted area. The dominant slope gradient and slope aspect with relatively higher landslide frequency are 45A degrees aEuro"50A degrees and south-east direction, respectively. The intense earthquake impact increased the dominant slope gradient of landslide spatial distribution, and the thrust campaign of seismogenic fault with strike NE-SW made south-east direction as the dominant slope aspect of the landslide spatial distribution. The locations with very high and high landslide susceptibility are mainly distributed in the regions with higher earthquake intensity and adverse terrain conditions, such as Shuangshi town and Longmen town of Lushan county and Muping town of Baoxing county. The study results are expected to provide a beneficial reference for the landslide prevention and infrastructure reconstruction after the Lushan earthquake.
机译:中国四川省发生的M(s)7.0(M(w)6.6,USGS)级庐山地震引发大量滑坡,严重加剧了地震的破坏性后果。本文主要关注地震后紧急滑坡敏感性评估的方法。详细的滑坡清单(包括5,688个滑坡)是通过紧急地震后滑坡野外调查,对多源遥感影像(包括高分辨率无人机影像和历史滑坡档案)进行滑坡遥感解释而准备的。选择了十个引起滑坡发生的显着原因,包括地震烈度,滑坡密度和坡度。开发了一种综合评估方法,以促进使用三种方法进行有效的紧急地震后滑坡敏感性评估:因子敏感性分析,层次分析法和因子加权叠加法。这样的集成可以有效地减少由于使用单一方法而导致的主观性和不确定性。使用曲线下面积进行的有效性评估表明滑坡敏感性评估结果具有令人满意的准确性,并且所提出的方法对于紧急地震后滑坡敏感性评估是有效的。研究结果表明,地震强度和坡度是芦山地震灾区发生地震后滑坡发生的两个最重要的成因。较高滑坡频率的优势坡度和坡向分别为aEuro“ 50A度”和东南向45°度。强烈的地震影响增加了滑坡的空间分布优势坡度,并引起了地震成因断裂的逆冲运动。 NE-SW以东南方向为滑坡空间分布的主要坡向,高,高滑坡易感性地区主要分布在双狮镇,龙门镇等地震烈度较高,地形条件不利的地区。研究成果有望为鲁山地震后的滑坡防治和基础设施建设提供有益的参考。

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