Citation: | XIE Mingli, JU Nengpan, ZHAO Jianjun, FAN Qiang, HE Chaoyang. Comparative Analysis on Classification Methods of Geological Disaster Susceptibility Assessment[J]. Geomatics and Information Science of Wuhan University, 2021, 46(7): 1003-1014. DOI: 10.13203/j.whugis20190317 |
[1] |
Guzzetti F, Carrara A, Cardinali M, et al. Landslide Hazard Evaluation: A Review of Current Techniques and Their Application in a Multi-scale Study, Central Italy[J]. Geomorphology, 1999, 31(1): 181-216 http://www.sciencedirect.com/science/article/pii/s0169555x99000781
|
[2] |
Uitto J I, Shaw R. Sustainable Development and Disaster Risk Reduction: Introduction[M]// Uitto J I, Shaw R. Sustainable Development and Disaster Risk Reduction. Japan: Springer, 2016
|
[3] |
Chen W, Ding X, Zhao R, et al. Application of Frequency Ratio and Weights of Evidence Models in Landslide Susceptibility Mapping for the Shangzhou District of Shangluo City, China[J]. Environ Earth Sci, 2016, 75(1): 1-10 doi: 10.1007/s12665-015-4873-x
|
[4] |
Park S, Choi C, Kim B, et al. Landslide Susceptibility Mapping Using Frequency Ratio, Analytic Hierarchy Process, Logistic Regression, and Artificial Neural Network Methods at the Inje Area, Korea[J]. Environ Earth Sci, 2013, 68(5): 1 443-1 464 doi: 10.1007/s12665-012-1842-5
|
[5] |
Komac M. A Landslide Susceptibility Model Using the Analytical Hierarchy Process Method and Multivariate Statistics in Perialpine Slovenia[J]. Geomorphology, 2006, 74(1): 17-28 http://www.sciencedirect.com/science/article/pii/S0169555X05002072
|
[6] |
Conforti M, Aucelli P P C, Robustelli G, et al. Geomorphology and GIS Analysis for Mapping Gully Erosion Susceptibility in the Turbolo Stream Catchment (Northern Calabria, Italy)[J]. Natural Hazards, 2011, 56(3): 881-898 doi: 10.1007/s11069-010-9598-2
|
[7] |
Devkota K C, Regmi A D, Pourghasemi H R, et al. Landslide Susceptibility Mapping Using Certainty Factor Index of Entropy and Logistic Regression Models in GIS and Their Comparison at Mugling-Narayanghat Road Section in Nepal Himalaya[J]. Natural Hazards, 2013, 65(2): 135-165 doi: 10.1007/s11069-012-0347-6
|
[8] |
武雪玲, 沈少青, 牛瑞卿. GIS支持下应用PSO-SVM模型预测滑坡易发性[J]. 武汉大学学报·信息科学版, 2016, 41(5): 665-671 http://ch.whu.edu.cn/article/id/5447
Wu Xueling, Shen Shaoqing, Niu Ruiqing. Landslide Susceptibility Prediction Using GIS and PSO-SVM[J]. Geomatics and Information Science of Wuhan University, 2016, 41(5): 665-671 http://ch.whu.edu.cn/article/id/5447
|
[9] |
刘坚, 李树林, 陈涛. 基于优化随机森林模型的滑坡易发性评价[J]. 武汉大学学报·信息科学版, 2018, 43(7): 1 085-1 091 http://ch.whu.edu.cn/article/id/6157
Liu Jian, Li Shulin, Chen Tao. Landslide Susceptibility Assessment Based on Optimized Random Forest Model[J]. Geomatics and Information Science of Wuhan University, 2018, 43(7): 1 085-1 091 http://ch.whu.edu.cn/article/id/6157
|
[10] |
Pradhan B. A Comparative Study on the Predictive Ability of the Decision Tree, Support Vector Machine and Neuro-Fuzzy Models in Landslide Susceptibility Mapping Using GIS[J]. Comput Geosci, 2013, 51: 350-365 doi: 10.1016/j.cageo.2012.08.023
|
[11] |
王佳佳, 殷坤龙, 肖莉丽. 基于GIS和信息量的滑坡灾害易发性评价——以三峡库区万州区为例[J]. 岩石力学与工程学报, 2014, 33(4): 797-808 https://www.cnki.com.cn/Article/CJFDTOTAL-YSLX201404018.htm
Wang Jiajia, Yin Kunlong, Xiao Lili. Landslide Susceptibility Assessment Based on GIS and Weighted Information Value: A Case Study of Wanzhou District, Three Gorges Reservoir[J]. Journal of Rock Mechanics and Engineering, 2014, 33(4): 797-808 https://www.cnki.com.cn/Article/CJFDTOTAL-YSLX201404018.htm
|
[12] |
许冲, 戴福初, 姚鑫, 等. 基于GIS与确定性系数分析方法的汶川地震滑坡易发性评价[J]. 工程地质学报, 2010, 18(1): 15-26 doi: 10.3969/j.issn.1004-9665.2010.01.003
Xu Chong, Dai Fuchu, Yao Xin, et al. Study on Wenchuan Earthquake-Induced Landslide Susceptibility Evaluation Based on GIS Platform and Certainty Factor Analysis Method[J]. Journal of Engineering Geology, 2010, 18(1): 15-26 doi: 10.3969/j.issn.1004-9665.2010.01.003
|
[13] |
黄发明, 殷坤龙, 蒋水华, 等. 基于聚类分析和支持向量机的滑坡易发性评价[J]. 岩石力学与工程学报, 2018, 37(1): 156-167 https://www.cnki.com.cn/Article/CJFDTOTAL-YSLX201801016.htm
Huang Faming, Yin Kunlong, Jiang Shuihua, et al. Landslide Susceptibility Assessment Based on Clustering Analysis and Support Vector Machine[J]. Chinese Journal of Rock Mechanics and Engineering, 2018, 37(1): 156-167 https://www.cnki.com.cn/Article/CJFDTOTAL-YSLX201801016.htm
|
[14] |
桂蕾. 三峡库区万州区滑坡发育规律及风险研究[D]. 武汉: 中国地质大学, 2014
Gui Lei. Research on Landslide Development Regularities and Risk in Wanzhou District, Three Gorges Reservoir[D]. Wuhan: China University of Geosciences, 2014
|
[15] |
樊芷吟, 苟晓峰, 秦明月, 等. 基于信息量模型与Logistic回归模型耦合的地质灾害易发性评价[J]. 工程地质学报, 2018, 26(2): 340-347 https://www.cnki.com.cn/Article/CJFDTOTAL-GCDZ201802008.htm
Fan Zhiyin, Gou Xiaofeng, Qin Mingyue, et al. Based on the Information Model and Logistic Regression Model Coupling Analysis of the Sensitivity of Geological Disasters[J]. Journal of Engineering Geology, 2018, 26(2): 340-347 https://www.cnki.com.cn/Article/CJFDTOTAL-GCDZ201802008.htm
|
[16] |
van Westen C J, Castellanos E, Kuriakose S L. Spatial Data for Landslide Susceptibility, Hazard, and Vulnerability Assessment: An Overview[J]. Engineering Geology, 2008, 102(2/3): 112-131
|
[17] |
于宪煜. 基于多源数据和多尺度分析的滑坡易发性评价方法研究[D]. 武汉: 中国地质大学, 2016
Yu Xianyu. Study on Landslide Susceptibility Evaluvation Method Based on Multi-source Data and Multi-scale Analysis[D]. Wuhan: China University of Geosciences, 2016
|
[18] |
Wang Qiqing, Li Wenping, Chen Wei, et al. GIS-Based Assessment of Landslide Susceptibility Using Certainty Factor and Index of Entropy Models for the Qianyang County of Baoji City, China[J]. Journal of Earth System Science, 2015, 124(7): 1-17 doi: 10.1007/s12040-015-0624-3?no-access=true
|
[19] |
Xu Chong, Xu Xiwei, Dai Fuchu, et al. Landslide Hazard Mapping Using GIS and Weight of Evidence Model in Qingshui River Watershed of 2008 Wenchuan Earthquake Struck Region[J]. Journal of Earth Science, 2012, 23(1): 97-120 doi: 10.1007/s12583-012-0236-7
|
[20] |
范强, 巨能攀, 向喜琼, 等. 2014. 证据权法在区域滑坡危险性评价中的应用——以贵州省为例[J]. 工程地质学报, 2014, 22(3): 474-481 https://www.cnki.com.cn/Article/CJFDTOTAL-GCDZ201403022.htm
Fan Qiang, Ju Nengpan, Xiang Xiqiong, et al. Landslide Hazards Assessment with Weights of Evidence—A Case Study in Guizhou, China[J]. Journal of Engineering Geology, 2014, 22(3): 474-481 https://www.cnki.com.cn/Article/CJFDTOTAL-GCDZ201403022.htm
|
[21] |
Singh C D, Kohli A, Kumar P. Comparison of Results of BIS and GSI Guidelines on Macrolevel Landslide Hazard Zonation — A Case Study Along Highway from Bhalukpong to Bomdila, West Kameng District, Arunachal Pradesh[J]. Journal of the Geological Society of India, 2014, 83(6): 688-696 doi: 10.1007/s12594-014-0101-7
|
[22] |
孟祥瑞, 裴向军, 刘清华, 等. GIS支持下基于因子分析法的都汶路沿线地质灾害易发性评价[J]. 中国地质灾害与防治学报, 2016, 27(3): 106-115 https://www.cnki.com.cn/Article/CJFDTOTAL-ZGDH201603016.htm
Meng Xiangrui, Pei Xiangjun, Liu Qinghua, et al. GIS-Based Susceptibility Assessment of Geological Hazards Along the Road from Dujiangyan to Wenchuan by Factor Analysis[J]. The Chinese Journal of Geological Hazard and Control, 2016, 27(3): 106-115 https://www.cnki.com.cn/Article/CJFDTOTAL-ZGDH201603016.htm
|
[23] |
陈悦丽, 陈德辉, 李泽椿, 等. 基于Monte Carlo-SHALSTAB模型的滑坡危险性评价——以福建省德化县为例[J]. 灾害学, 2015, 30(4): 101-106 doi: 10.3969/j.issn.1000-811X.2015.04.020
Chen Yueli, Chen Dehui, Li Zechun, et al. Assessment of Landslide Hazard Based on Monte Carlo-SHALSTAB Model[J]. Journal of Catastrophology, 2015, 30(4): 101-106 doi: 10.3969/j.issn.1000-811X.2015.04.020
|
[24] |
邓越, 周廷刚, 蒋卫国. 都江堰市地质灾害危险性及潜在影响评估[J]. 灾害学, 2016, 31(2): 196-199 doi: 10.3969/j.issn.1000-811X.2016.02.037
Deng Yue, Zhou Tinggang, Jiang Weiguo. Assessment of Geological Disaster Hazard and Potential Impact in Dujiangyan City[J]. Journal of Catastrophology, 2016, 31(2): 196-199 doi: 10.3969/j.issn.1000-811X.2016.02.037
|
[25] |
Bai Shibiao, Wang Jian, Lu Guonian, et al. GIS-Based Logistic Regression for Landslide Susceptibility Mapping of the Zhongxian Segment in the Three Gorges Area, China[J]. Geomorphology, 2010, 115(1): 23-31 http://www.cabdirect.org/abstracts/20103055551.html
|
[26] |
许冲, 戴福初, 姚鑫, 等. 基于GIS的汶川地震滑坡灾害影响因子确定性系数分析[J]. 岩石力学与工程学报, 2010, 29(S1): 2 972-2 981 https://www.cnki.com.cn/Article/CJFDTOTAL-YSLX2010S1057.htm
Xu Chong, Dai Fuchu, Yao Xin, et al. GIS Based Certainty Factor Analysis of Landslide Triggering Factors in Wenchuan Earthquake of 12 May 2008, Sichuan, China[J]. Journal of Rock Mechanics and Engineering, 2010, 29(S1): 2 972-2 981 https://www.cnki.com.cn/Article/CJFDTOTAL-YSLX2010S1057.htm
|
[27] |
张俊, 殷坤龙, 王佳佳, 等. 三峡库区万州区滑坡灾害易发性评价研究[J]. 岩石力学与工程学报, 2016, 35(2): 284-296 https://www.cnki.com.cn/Article/CJFDTOTAL-YSLX201404018.htm
Zhang Jun, Yin Kunlong, Wang Jiajia, et al. Evaluation of Landslide Susceptibility for Wanzhou District of Three Gorges Reservoir[J]. Chinese Journal of Rock Mechanics and Engineering, 2016, 35(2): 284-296 https://www.cnki.com.cn/Article/CJFDTOTAL-YSLX201404018.htm
|
[28] |
Pradhan B, Lee S. Regional Landslide Susceptibility Analysis Using Back-Propagation Neural Network Model at Cameron Highland, Malaysia[J]. Landslides, 2010, 7(1): 13-30 doi: 10.1007/s10346-009-0183-2
|
[29] |
Jiang Weiguo, Rao Pingzeng, Cao Ran, et al. Comparative Evaluation of Geological Disaster Susceptibility Using Multi-regression Methods and Spatial Accuracy Validation[J]. Journal of Geographical Sciences, 2017, 27(4): 439-462 doi: 10.1007/s11442-017-1386-4
|
[30] |
高克昌, 崔鹏, 赵纯勇, 等. 基于地理信息系统和信息量模型的滑坡危险性评价——以重庆万州为例[J]. 岩石力学与工程学报, 2006, 25(5): 991-996 doi: 10.3321/j.issn:1000-6915.2006.05.020
Gao Kechang, Cui Peng, Zhao Chunyong, et al. Landslide Hazard Evaluation of Wanzhou Based on GIS Information Value Method in the Three Gorges Reservoir[J]. Chinese Journal of Rock Mechanics and Engineering, 2006, 25(5): 991-996 doi: 10.3321/j.issn:1000-6915.2006.05.020
|
[31] |
牛全福, 程维明, 兰恒星, 等. 基于信息量模型的玉树地震次生地质灾害危险性评价[J]. 山地学报, 2011, 29(2): 243-249 doi: 10.3969/j.issn.1008-2786.2011.02.014
Niu Quanfu, Cheng Weiming, Lan Henxing, et al. Susceptibility Assessment of Secondary Geological Disaster Based on Information Value Methodology for Yushu Earthquake Region[J]. Journal of Mountain Science, 2011, 29(2): 243-249 doi: 10.3969/j.issn.1008-2786.2011.02.014
|
[32] |
武雪玲, 杨经宇, 牛瑞卿. 一种结合SMOTE和卷积神经网络的滑坡易发性评价方法[J]. 武汉大学学报·信息科学版, 2020, 45(8): 1 223-1 232 doi: 10.13203/j.whugis20200127
Wu Xueling, Yang Jingyu, Niu Ruiqing. A Landslide Susceptibility Assessment Method Using SMOTE and Convolutional Neural Network[J]. Geomatics and Information Science of Wuhan University, 2020, 45(8): 1 223-1 232 doi: 10.13203/j.whugis20200127
|
[33] |
徐胜华, 刘纪平, 王想红, 等. 熵指数融入支持向量机的滑坡灾害易发性评价方法——以陕西省为例[J]. 武汉大学学报·信息科学版, 2020, 45(8): 1 214-1 222 doi: 10.13203/j.whugis20200109
Xu Shenghua, Liu Jiping, Wang Xianghong, et al. Landslide Susceptibility Assessment Method Incorporating Index of Entropy Based on Support Vector Machine: A Case Study of Shaanxi Province[J]. Geomatics and Information Science of Wuhan University, 2020, 45(8): 1 214-1 222 doi: 10.13203/j.whugis20200109
|
[1] | WU Hongyang, ZHOU Chao, LIANG Xin, WANG Yue, YUAN Pengcheng, WU Lixing. Evaluation of Landslide Susceptibility Based on Sample Optimization Strategy[J]. Geomatics and Information Science of Wuhan University, 2024, 49(8): 1492-1502. DOI: 10.13203/j.whugis20220527 |
[2] | GE Qiaoqiao, SUN Qian, ZHANG Ning, HU Jun. Evaluation of Geological Hazard Susceptibility of Baiyin City Based on Multi-temporal InSAR Deformation Measurements[J]. Geomatics and Information Science of Wuhan University, 2024, 49(8): 1434-1443. DOI: 10.13203/j.whugis20220192 |
[3] | GUO Fei, WU Di, GE Minrong, DONG Jinlong, FANG Hao, TIAN Dongfang. The Influence of Continuous Variable Factor Classification and Machine Learning Model on the Accuracy of Landslide Susceptibility Evaluation[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20230413 |
[4] | Chen Xinyang, Long Xiaoxiang, Li Qingpeng, Li Jingmei, Han Qijin, Xu Zhaopeng, Yao Weiyuan. Data Proccing and Accuracy Verification for Laser Altimeter of Terrestrial Ecosystem Carbon Inventory Satellite[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20230110 |
[5] | WU Xueling, YANG Jingyu, NIU Ruiqing. A Landslide Susceptibility Assessment Method Using SMOTE and Convolutional Neural Network[J]. Geomatics and Information Science of Wuhan University, 2020, 45(8): 1223-1232. DOI: 10.13203/j.whugis20200127 |
[6] | ZHOU Lü, GUO Jiming, HU Jiyuan, ZHANG Di, CHEN Ming, YANG Fei. Accuracy Verification and Analysis of Ground-based Synthetic Aperture Radar Based on Two-dimensional Deformation Field[J]. Geomatics and Information Science of Wuhan University, 2019, 44(2): 289-295. DOI: 10.13203/j.whugis20170085 |
[7] | JIANG Lili, QI Qingwen, ZHANG An. River Classification and River Network Structuration in River Auto-selection[J]. Geomatics and Information Science of Wuhan University, 2015, 40(6): 841-846. DOI: 10.13203/j.whugis20130538 |
[8] | YAO Na, LIN Zongjian, ZHANG Jingxiong, REN Chaofeng. Geostatistical Approaches to Post-classification of Remote Sensing Image[J]. Geomatics and Information Science of Wuhan University, 2013, 38(1): 15-18. |
[9] | ZHAO Yang, XU Xiaogang, ZHANG Gongxuan, ZHANG Rong. Employment of Program Annotations in Trusted Code and Their Type Verification[J]. Geomatics and Information Science of Wuhan University, 2010, 35(5): 570-573. |
[10] | GUO Qingsheng, LI Liusuo, JIA Yuming, SUN Yan. Quality Evaluation of Statistical Data Classification Considering Spatial Autocorrelation[J]. Geomatics and Information Science of Wuhan University, 2006, 31(3): 240-243. |