Sensitivity analysis of disaster-pregnant environmental factors for slope geological hazards in Kaiyang County, Guizhou Province

Authors

QIN Yigen, College of Resource and Environment Engineering, Guizhou University, Guiyang 550025, China
YANG Genlan, College of Resource and Environment Engineering, Guizhou University, Guiyang 550025, ChinaFollow
XIE Jin, College of Resource and Environment Engineering, Guizhou University, Guiyang 550025, China
LIU Bangyu, College of Resource and Environment Engineering, Guizhou University, Guiyang 550025, China

Abstract

The geological conditions are complex in Kaiyang County, and geological disasters occur frequently. On the basis of field geological hazard investigation, 8 factors including elevation, slope, slope direction, engineering petrofabric, slope structure, fault, drainage and NDVI value are selected as the disaster-pregnant factors of slope geohazards. Based on the GIS platform, and by using the certainty factor model(CF) and the sensitivity-exponential(E), susceptibility of these 8 factors are researched. The results show that the areas with elevation from 515 to 993 m, the slope degree from 20° to 50°, the aspect of the west, the northwest and the southeast, soft rock group, the consequent slope area, the distance from fault and rivers within 1 000 m, 800 m respectively and the NDVI value in -0.098 to 0.181 are sensitive areas of geohazards. Compared with the slope structure and the NDVI value which showed lower sensitivity, the others, slope, lithology, aspect, the distance from fault and rivers and elevation are the main control factors of the area. The further discussion results show that the sensitivity of the NDVI value is likely to be restricted by the elevation range of 1 288-1 664 m and the aspect of the north, and the sensitivity of the slope structure is limited by the aspect of east and west. The research results can provide reference for the prevention and reduction of geohazards in Kaiyang County.

Keywords

slope geological hazards, disaster-pregnant environment, sensitivity analysis, certainty factor model, Kaiyang County in Guizhou Province

DOI

10.3969/j.issn.1001-1986.2020.04.026

Recommended Citation

QIN Yigen, YANG Genlan, XIE Jin, et al. (2020) "Sensitivity analysis of disaster-pregnant environmental factors for slope geological hazards in Kaiyang County, Guizhou Province," Coal Geology & Exploration: Vol. 48: Iss. 4, Article 27.
DOI: 10.3969/j.issn.1001-1986.2020.04.026
Available at: https://cge.researchcommons.org/journal/vol48/iss4/27

Reference

[1] 张春山,张业成,胡景江,等. 中国地质灾害时空分布特征与形成条件[J]. 第四纪研究,2000,20(6):559-566. ZHANG Chunshan,ZHANG Yecheng,HU Jingjiang,et al. Spatial and temporal distribution characteristics and forming conditions of Chinese geological disasters[J]. Quaternary Sciences,2000,20(6):559-566.

[2] FELL R,COROMINAS J,BONNARD C,et al. Guidelines for landslide susceptibility,hazard and risk zoning for land use planning[J]. Engineering Geology,2008,102(3):99-111.

[3] 郝利娜,张志. 映秀-北川断裂带沿线崩滑体分布规律浅析[J]. 煤田地质与勘探,2009,37(5):43-46. HAO Lina,ZHANG Zhi. The distribution law of slump-mass in Yingxiu-Beichuan fault zone[J]. Coal Geology & Exploration,2009,37(5):43-46.

[4] 李益敏,谢亚亚,蒋德明,等. 怒江州斜坡地质灾害孕灾环境因素敏感性研究[J]. 水土保持研究,2018,25(5):300-305. LI Yimin,XIE Yaya,JIANG Deming,et al. Study on Sensitivity in disaster-pregnant environmental factors of slope geological hazards in Nujiang prefecture[J]. Research of Soil and Water Conservation,2018,25(5):300-305.

[5] 陈晓利,冉洪流,祁生文. 1976年龙陵地震诱发滑坡的影响因子敏感性分析[J]. 北京大学学报(自然科学版),2009,45(1):104-110. CHEN Xiaoli,RAN Hongliu,QI Shengwen. Triggering factors susceptibility of earthquake-induced landslides in 1976 Longling earthquake[J]. Acta Scientiarum Naturalium Universitatis Pekinensis(Natural Science Edition),2009,45(1):104-110.

[6] 李雪平,唐辉明. 贝叶斯信息标准在滑坡因子敏感性分析中的应用[J]. 岩土力学,2006,27(8):1393-1397. LI Xueping,TANG Huiming. Application of bayesian information criterion to sensitivity analysis of landslide factor[J]. Rock and Soil Mechanics,2006,27(8):1393-1397.

[7] 王志恒,胡卓玮,刘长青,等. 基于变维分形理论的四川省低山丘陵区滑坡孕灾环境因素敏感性分析[J]. 地球与环境,2013,41(6):680-687. WANG Zhiheng,HU Zhuowei,LIU Changqing,et al. Susceptibility analysis of disaster-pregnant environmental factors of landslide in the hilly area in Sichuan based on variable dimension fractal theory[J]. Earth and Environment,2013,41(6):680-687.

[8] 吴森,李虎杰,陈国辉,等. 基于贡献率权重法的区域滑坡影响因子敏感性分析[J]. 中国地质灾害与防治学报,2016,27(1):26-31. WU Sen,LI Hujie,CHEN Guohui,et al. Regional landslides influence factors sensitivity analysis based on contributing weight method[J]. The Chinese Journal of Geological Hazard and Control,2016,27(1):26-31.

[9] AYALEW L,YAMAGISHI H. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains,Central Japan[J]. Geomorphology,2005,65(1):15-31.

[10] DU Guoliang,ZHONG Yongshuang,JAVED I,et al. Landslide susceptibility mapping using an integrated model of information value method and logistic regression in the Bailongjiang watershed,Gansu Province,China[J]. Journal of Mountain Science,2017,14(2):249-268.

[11] WU C Y,PENG J B,WANG M. Landslide and slope aspect in the Three Gorges Reservior area based on GIS and information value model[J]. Natural Sciences,2006,11(4):773-779.

[12] 唐睿旋,晏鄂川,唐薇. 基于粗糙集和BP神经网络的滑坡易发性评价[J]. 煤田地质与勘探,2017,45(6):129-138. TANG Ruixuan,YAN Echuan,TANG Wei. Landslide susceptibility evaluation based on rough set and back-propagation neural network[J]. Coal Geology & Exploraton,2017,45(6):129-138.

[13] 任敬,范宣梅,赵程,等. 贵州省都匀市滑坡易发性评价研究[J]. 水文地质工程地质,2018,45(5):165-172. REN Jing,FAN Xuanmei,ZHAO Cheng,et al. Evaluation of the landslide vulnerability in Duyun of Guizhou Province[J]. Hydrogeology & Engineering Geology,2018,45(5):165-172.

[14] 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. FAN Zhiyin,GOU Xiaofeng,QIN Mingyue,et al. Information and logistic regression models based coupling analysis forsusceptibility of geological hazards[J]. Journal of Engineering Geology,2018,26(2):340-347.

[15] SHORTLIFFE E H,BUCHANAN B G. A model of inexact reasoning in medicine[J]. Mathematical Biosciences,1975,23:351-379.

[16] HECKERMAN D. Probabilistic interpretations for MYCIN's certainty factors[C]//Proceedings of the first conference on uncertainty in artificial intelligence. Los Angeles,USA,1985:167-196.

[17] 魏江波,赵洲. 基于加权确定性系数法的地质灾害易发性分析[J]. 煤田地质与勘探,2018,46(6):108-114. WEI Jiangbo,ZHAO Zhou. Analysis of geological hazard susceptibility based on the weighted certainty factor method[J]. Coal Geology & Exploration,2018,46(6):108-114.

[18] 张景华,张建龙,欧阳渊. 遥感技术在汉源县地质灾害调查中的应用[J]. 遥感信息,2010(5):87-91. ZHANG Jinghua,ZHANG Jianlong,OUYANG Yuan. The application of remote sensing technology to inverstigation of geological hazards in Hanyuan County[J]. Remote Sensing Information,2010(5):87-91.

[19] 齐信,黄波林,刘广宁,等. 基于GIS技术和频率比模型的三峡地区秭归向斜盆地滑坡敏感性评价[J]. 地质力学学报,2017,23(1):97-104. QI Xin,HUANG Bolin,LIU Guangning,et al. Landslide susceptibility assessment in the three gorges area,china,Zigui synclinal basin,using GIS technology and frequency ratio model[J]. Journal of Geomechanics,2017,23(1):97-104.

[20] 姚玲,雷呈斌,王明龙,等. 基于RS和GIS技术的深圳市斜坡类地质灾害易发程度评价[J]. 河南理工大学学报(自然科学版),2017,36(3):66-72. YAO Ling,LEI Chengbin,WANG Minglong,et al. Evaluation of the susceptibility of slope disasters in Shenzhen city based on RS and GIS technique[J]. Journal of Henan Polytechnic University(Natural Science),2017,36(3):66-72.

[21] 梁瑞锋,杨敏,杨栓成,等. 雅砻江流域卡拉段地质灾害分布特征与影响因素分析[J]. 人民珠江,2016,37(11):13-17. LIANG Ruifeng,YANG Min,YANG Shuancheng,et al. Distribution characteristics and influencing factors analysis of geological disasters in Kala section along Yalong river[J]. Pearl River,2016,37(11):13-17.

[22] 范强,巨能攀,向喜琼,等. 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. FAN Qiang,JU Nengpan,XIANG Xiqiong,et al. Landslides hazards assessment with weights of evidence:A case study in Guizhou,China[J]. Journal of Engineering Geology,2014,22(3):474-481.

[23] 田春山,刘希林,汪佳. 基于CF和Logistic回归模型的广东省地质灾害易发性评价[J]. 水文地质工程地质,2016,43(6):154-161. TIAN Chunshan,LIU Xilin,WANG Jia. Geohazard susceptibility assessment based on CF model and logistic regression models in Guangdong[J]. Hydrogeology & Engineering Geology,2016,43(6):154-161.