基于证据权法的九寨沟地震滑坡危险性评价

被引:31
作者
杨华阳
许向宁
杨鸿发
机构
[1] 四川省地质矿产勘查开发局四五地质队
关键词
九寨沟地震; 证据权; 滑坡危险性评价;
D O I
10.16031/j.cnki.issn.1003-8035.2020.03.03
中图分类号
P642.22 [滑坡]; P315.9 [工程地震];
学科分类号
0837 ; 070801 ;
摘要
2017年8月8日四川省北部九寨沟县暴发了Ms7.0级地震,是继2013年"4·20"芦山Ms7.0级地震后再次发生在巴颜喀拉块体边界的强烈地震,地震诱发了近1 880处滑坡,通过地理信息系统与遥感技术,选取与高程、坡度、坡向、与水系距离、峰值加速度(PGA)、与震中距离、岩性、与断裂距离等8个因素作为九寨沟地震滑坡危险性评价因子,采用加法和减法2种证据权方法,对九寨沟地震滑坡危险性进行评价。结果表明:基于加法证据权的评价模型的准确率为88.29%,基于减法证据权的评价模型的准确率为87.31%。利用自然断点法,将研究区按滑坡危险性程度分为极高危险区、高危险区、中危险区、低危险区与极低危险区。其中,基于加法证据权所计算的极高和高危险区面积之和约300.17 km2,占研究区总面积的33.84%,发育的滑坡面积占滑坡总面积的91.10%;基于减法证据权所计算的极高和高危险区面积之和约214.35 km2,占研究区总面积的24.17%,发育的滑坡面积占滑坡总面积的85.04%。评价结果可为震后地质灾害防治、基础设施重建,特别是九寨沟自然风景区的灾后重建工作提供重要的参考。
引用
收藏
页码:20 / 29
页数:10
相关论文
共 25 条
[1]  
Application and evaluation of a rapid response earthquake-triggered landslide model to the 25 April 2015 M w 7.8 Gorkha earthquake; Nepal.[J].Sean F. Gallen;Marin K. Clark;Jonathan W. Godt;Kevin Roback;Nathan A. Niemi.Tectonophysics.2017,
[2]  
Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 Wenchuan earthquake in China.[J].Chong Xu;Xiwei Xu;Fuchu Dai;Arun K. Saraf.Computers and Geosciences.2012,
[3]  
GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed; China.[J].Chong Xu;Fuchu Dai;Xiwei Xu;Yuan Hsi Lee.Geomorphology.2011,
[4]   GIS-based landslide susceptibility mapping for the 2005 Kashmir earthquake region [J].
Kamp, Ulrich ;
Growley, Benjamin J. ;
Khattak, Ghazanfar A. ;
Owen, Lewis A. .
GEOMORPHOLOGY, 2008, 101 (04) :631-642
[5]  
GIS analysis to assess landslide susceptibility in a fluvial basin of NW Sicily (Italy).[J].Christian Conoscenti;Cipriano Di Maggio;Edoardo Rotigliano.Geomorphology.2007, 3
[6]   GIS-based weights-of-evidence modelling of rainfall-induced landslides in small catchments for landslide susceptibility mapping [J].
Dahal, Ranjan Kumar ;
Hasegawa, Shuichi ;
Nonomura, Atsuko ;
Yamanaka, Minoru ;
Masuda, Takuro ;
Nishino, Katsuhiro .
ENVIRONMENTAL GEOLOGY, 2008, 54 (02) :311-324
[7]  
Landslide susceptibility assessment using “weights-of-evidence” applied to a study area at the Jurassic escarpment (SW-Germany).[J]..Geomorphology.2006, 1
[8]   Use of geomorphological information in indirect landslide susceptibility assessment [J].
Van Westen, CJ ;
Rengers, N ;
Soeters, R .
NATURAL HAZARDS, 2003, 30 (03) :399-419
[9]  
Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas; USA.[J].Gregory C. Ohlmacher;John C. Davis.Engineering Geology.2003, 3
[10]  
A method for producing digital probabilistic seismic landslide hazard maps.[J].Randall W Jibson;Edwin L Harp;John A Michael.Engineering Geology.2000, 3