Journal of Jilin University(Earth Science Edition) ›› 2016, Vol. 46 ›› Issue (4): 1168-1175.doi: 10.13278/j.cnki.jjuese.201604203

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Risk Assessment of Debris Flow: A Method of SVM Based on FCM

Wang Changming1, Tian Shuwen1, Wang Yihong2, Ruan Yunkai1, Ding Guiling2   

  1. 1. College of Construction Engineering, Jilin University, Changchun 130026, China;
    2. Beijing Geology Institute, Beijing 100011, Chana
  • Received:2016-03-05 Online:2016-07-26 Published:2016-07-26
  • Supported by:

    Supported by National Science Foundation of China (41572257, 40972171)and Beijing Science and Technology Project(Z141100003614052)

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Abstract:

Debris flow is a kind of nature hazard which can produce serious consequences, and the accuracy of debris flow risk classification is important for the early warning and disaster prevention.Now there are a lot of algorithms used to evaluate the risk of debris flow. Fuzzy c means (FCM) algorithm is one of the widely used algorithms. Compared with general classification method, FCM does not need to determine risk boundaries artificially, and it outputs membership degree matrix for each risk degree. Support vector machine (SVM) is a machine algorithm based on structure risk minimization. It establishes classification model by support vectors and has better Robustness. It is well applied to small samples. In this paper, the SVM method based on FCM is used for debris flow risk evaluation, which gets a good classification performance.

Key words: debris-flow, risk classification, FCM, SVM

CLC Number: 

  • P642.23

[1] 牛岑岑. 泥石流危险度评价指标的提取与等级划分[D]. 长春:吉林大学,2013. Niu Cencen,Index Selection and Rating for Debris Flow Hazard Assessment[D]. Changchun:Jilin University,2013.

[2] 陈宁生,周海波,卢阳,等.西南山区泥石流防治工程效益浅析[J].成都理工大学学报(自然科学版),2013,40(1):50-58. Chen Ningsheng,Zhou Haibo,Lu Yang,et al. Analysis of Benefits of Debris Flow Control Projects in Southwest Mountain Areas of China[J]. Journal of Chengdu University of Technology(Science Technology Edition),2013,40(1):50-58.

[3] 韦方强,胡凯衡,崔鹏,等. 山区城镇泥石流减灾决策支持系统[J].自然灾害学报,2002,11(2):31-36. Wei Fangqiang,Hu Kaiheng,Cui Peng,et al. Decision Support System of Debris Flow Mitigation for Mountain Towns[J]. Journal of Natural Disasters, 2002,11(2):31-36.

[4] 康志成,李悼芬,马蔼乃,等.中国泥石流研究[M].北京:科学出版社,2004. Kang Zhicheng,Li Daofen,Ma Ainai,et al. Research on Debris Flow in China[M]. Beijing:Science Press,2004.

[5] 常鸣. 基于遥感及数值模拟的强震区泥石流定量风险评价研究[D]. 成都:成都理工大学,2014. Chang Ming. Quantitative Risk Assessment of Debris Flow in Coseismic Area Based on Remote Sensing and Numerical Simulation[D]. Chengdu :Chengdu University of Technology,2014.

[6] Hollingsworth R,Kovacs G S. Soil Slumps and Debris Flows Prediction and Protection[J]. Bulletin of the Association of Engineering Geologists 1981,38(1):17-28.

[7] Wadge G. The Potential of GIS Modeling of Gravity Flows and Slope Instability[J]. Int J Geographical Information System,1994,2(2):143-152.

[8] 李阔,唐川. 泥石流危险性评价研究进展[J]. 灾害学,2007,22(1):106-111. Li Kuo, Tang Chuan. Progress in Research on Debris Flow Hazard Assessment[J]. Journal of Catastrophology,2007,22(1):106-111.

[9] Xu L M,Chen J P,Wang Q,et al. Fuzzy C-Means Cluster Analysis Based on Mutative Scale Chaos Optimization Alagorithm for the Grouping of Discontinuity Sets[J]. Rock Mechanics and Rock Engineering,2013,46:189-198.

[10] 徐黎明,王清,陈剑平,等. 基于BP神经网络的泥石流平均流速预测[J]. 吉林大学学报(地球科学版),2013,43(1): 167-172. Xu Liming,Wang Qing,Chen Jianping,et al. Forcast for Average Velocity of Debris Flow Based on BP Neural Network[J]. Journal of Jilin University(Earth Science Edition),2013, 43(1):167-172.

[11] 铁永波,唐川. 层次分析法在单沟泥石流危险度评价中的应用[J]. 中国地质灾害与防治学报,2006,17(4):79-84. Tie Yongbo,Tang Chuan. Application of AHP in Single Debris Flow Risk Assessment[J]. The Chinese Journal of Geological Hazard and Control,2006,17(4):79-84.

[12] 谷复光,王清,张晨. 基于投影寻踪与可拓学方法的泥石流危险度评价[J].吉林大学学报(地球科学版),2010,40(2): 373-377. Gu Fuguang,Wang Qing,Zhang Chen. Debris Flow Risk Assessment by PPC and Extenics[J]. Journal of Jilin University(Earth Science Edition),2010,40(2):373-377.

[13] 王晓朋,潘懋,任群智. 基于流域系统地貌信息熵的泥石流危险性定量评价[J]. 北京大学学报(自然科学版),2007,43(2):211-215. Wang Xiaopeng,Pan Mao,Ren Qunzhi. Hazard Assessment of Debris Flow Based on Geomorphic Information Entropy in Catchment[J]. Acta Scientiarum Naturalium Universitatis Pekinensis,2007,43(2):211-215.

[14] Hirata T,Satoh T,Ito K. Fractal Structure of Spatial Distribution of Micro Fracturing in Rock[J]. Geophys J R Astr Soc,1987,90:369-374.

[15] 李欣杰. 大东沟泥石流风险性评价研究[D]. 长春:吉林大学,2014. Li Xinjie.Study of the Risk Evaluation for Dadonggou Debris Flow Basin[D]. Changchun:Jilin University,2014.

[16] 丁丽宏. 基于改进的灰关联分析和层次分析法的边坡稳定性研究[J]. 岩土力学,2011,32(11):3437-3441. Ding Lihong. Research on Estimation of Slope Stability Based on Improved Grey Correlation Analysis and Analytic Hierarchy Process[J]. Rock and Soil Mechanics,2011,32(11):3437-3441.

[17] 铁永波,唐川,周春花. 基于信息熵理论的泥石流沟谷危险度评价[J]. 灾害学,2005,20(4):43-46. Tie Yongbo,Tang Chuan,Zhou chunhua. Information Entropy-Based Hazard Assessment of Debris Flow Gully[J]. Journal of Catastrophology,2005,20(4):43-46.

[18] 黄双,陈剑平,潘玉珍,等. 分形理论在泥石流危险度评价中的应用[J]. 吉林大学学报(地球科学版),2012,42(3):214-219. Huang Shuang,Chen Jianping,Pan Yuzhen,et al. Application of Fractal Theory in Debris Flow Risk Evaluation[J]. Journal of Jilin University(Earth Science Edition),2012,42(3):214-219.

[19] Bezdek J C, Ehrlich R, Full W. FCM: The Fuzzy C-Means Clustering Algorithm[J] .Computers & Geosciences,1984,10(2/3):191-203.

[20] 张文,陈剑平,秦胜伍,等. 基于主成分分析的FCM法在泥石流分类中的应用[J]. 吉林大学学报(地球科学版),2010,40(2):368-372. Zhang Wen,Chen Jianping,Qin Shengwu,et al. Application of FCM Based on Principal Components Analysis in Debris Flow Classification[J]. Journal of Jilin University(Earth Science Edition),2010,40(2):368-372.

[21] 马志民,张军,钟亮.基于层次聚类的改进FCM算法[J].山东交通学院学报,2005, 13(2):67-69. Ma Zhimin,Zhang Jun,Zhong Liang. The Improvement of FCM Algorithm Based on Hierarchical Cluster[J]. Journal of Shandong Jiaotong University,2005,13(2): 67-69.

[22] 李宁,王李管,贾明涛,等. 改进遗传算法和支持向量机的岩体结构面聚类分析[J]. 岩土力学,2014,35(增刊2):405-411. Li Ning,Wang Liguan,Jia Mingtao,et al. Application of Improved Genetic Algorithm and Support Vector Machine to Clustering Analysis of Rock Mass Structural Plane[J]. Rock and Soil Mechanics,2014,35(Sup.2):405-411.

[23] 刘希林,唐川. 泥石流危险度评价[M]. 北京:科学出版社,1995. Liu Xilin,Tang Chuan. Debris Flow Hazard Degree Evaluations[M]. Beijing: Science Press,1995.

[24] 王英杰. 基于最小熵的金沙江上游区域泥石流危险度评价[D]. 长春:吉林大学,2014. Wang Yingjie.Evaluation the Hazard Degree of the Landslide of the Jinsha River Upstream Area Based on Minimum Entropy[D]. Changchun:Jilin University, 2014.
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