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基于聚类和最大似然法的汶川灾区泥石流滑坡易发性评价
Susceptibility mapping of landslides and debris flows in 2008 Wenchuan earthquake by using cluster analysis and maximum likelihood classification methods

查看参考文献15篇

文摘 选择坡度、相对高差、地表径流深和地震烈度4个震后地质灾害的主控因素作为评价影响因子,采用聚类分析和最大似然法评价汶川极重灾区(四川省部分)震后地质灾害的易发性。结果表明:聚类分析和最大似然法这种非监督分类的方法适用于没有足够训练数据的情况,可以快速对一个大区域的地质灾害易发性进行评估;从得到的易发性评价图中可知,在大块的高易发区内存在一些小的极低易发区,这些区域可以作为安全的居民点使用,在极高易发区和高易发区以及高易发区与极低易发区分界线附近,地质灾害点分布比较密集。
其他语种文摘 Cluster analysis and Maximum Likelihood Classification(MLC) methods are introduced to map the susceptibility of post-quake geo-hazards in the Ms 8.0 Wenchuan earthquake area.Four variables including slope gradient,relative relief,seismic intensity and surface runoff are chosen as predominant factors of the susceptibility mapping.The mapping result shows that this approach has the advantage of rapid evaluation,and is applicable even when there is short of training data.Five kinds of susceptibility(very low,low,moderate,high,and extreme high) are assigned to the study area by virtue of expert experience and geo-hazard density.The final map gives a reasonable assessment of susceptibility of post-earthquake geo-hazards in the area.It is found that there exist safety spots within the region of high danger,which are suitable for habitations and facilities.Moreover,the hazard density near the boundaries between extreme high and high regions,or high and very low regions is larger than other regions.
来源 中国水土保持科学(中英文) ,2012,10(1):12-18 【扩展库】
关键词 易发性评价 ; 泥石流 ; 地质灾害 ; 汶川地震 ; 聚类分析 ; 最大似然法
地址

中国科学院水利部成都山地灾害与环境研究所, 中国科学院山地灾害与地表过程重点实验室, 成都, 610041

语种 中文
文献类型 研究性论文
ISSN 1672-3007
学科 地质学
基金 中国科学院知识创新工程重要方向项目 ;  国家973计划 ;  中国科学院水利部成都山地灾害与环境研究所“青年百人团队计划”
文献收藏号 CSCD:4476469

参考文献 共 15 共1页

1.  Cui P. The Wenchuan Earthquake (May 12, 2008), Sichuan Province, China, and resulting geohazards. Nat Hazards,2011,56(1):19-36 被引 75    
2.  黄润秋. "5·12"汶川大地震触发地质灾害的发育分布规律研究. 岩石力学与工程学报,2008,27(12):25852592 被引 1    
3.  Dai Fuchu. Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology,2002,42:213-228 被引 72    
4.  Lin M L. A GIS-based potential analysis of the landslides induced by the Chi-Chi earthquake. Eng Geol,2004,71:63-77 被引 10    
5.  Kamp U. GIS-based landslide susceptibility mapping for the 2005 Kashmir earthquake region. Geomorphology,2008,101:631-642 被引 77    
6.  Carrara A. Comparing models of debris-flow susceptibility in the alpine environment. Geomorphology,2008,94:353-378 被引 18    
7.  Carrara A. Gis techniques and statistical-models in evaluating landslide hazard. Earth Surf Proc Land,1991,16:427-445 被引 72    
8.  Jade S. Statistical-models for slope instability classification. Eng Geol,1993,36:91-98 被引 7    
9.  Jiang H. Application of fuzzy measures in multi-criteria evaluation in GIS. Int J Geogr Inf Sci,2000,14:173-184 被引 13    
10.  Van Westen C J. Use of geomorphological information in indirect landslide susceptibility assessment. Nat Hazards,2003,30:399-419 被引 27    
11.  Lee S. Landslide susceptibility analysis using GIS and artificial neural network. Earth Surf Proc Land,2003,28:1361-1376 被引 15    
12.  Lan H X. Landslide hazard spatial analysis and prediction using GIS in the Xiaojiang watershed, Yunnan, China. Eng Geol,2004,76:109-128 被引 30    
13.  Ercanoglu M. Landslide susceptibility assessment of SE Bartin (West Black Sea region, Turkey) by artificial neural networks. Nat Hazard Earth Sys,2005,5:979-992 被引 10    
14.  He Y P. GIS-based regional landslide susceptibility mapping: a case study in southern California. Earth Surf Proc Land,2008,33:380-393 被引 4    
15.  李勇. 龙门山地震带的地质背景与汶川地震的地表破裂. 工程地质学报,2009,17(1):3-18 被引 69    
引证文献 17

1 陈宁生 “8·3”鲁甸地震小震大灾背景下次生泥石流的易发性分析 成都理工大学学报. 自然科学版,2016,43(1):102-108
被引 2

2 张涛 基于TRMM 订正数据的横断山区降水时空分布特征 自然资源学报,2015,30(2):260-270
被引 22

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论文科学数据集

1. 青藏高原1:25万重大工程扰动灾害数据(1985-2020)

数据来源:
国家青藏高原科学数据中心
PlumX Metrics
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