Risk assessment for landslide of FAST site based on GIS and fuzzy hierarchical method

被引:3
作者
Pan, Wangsheng [1 ,2 ]
Fu, Liangtong [1 ,2 ]
Xiao, Hanli [1 ,2 ]
Yu, Xiulian [2 ]
Li, Xin [3 ,4 ]
Zhang, Xiaozhou [4 ]
Zhao, Tianyin [1 ,2 ]
机构
[1] Qiannan Normal Univ Nationalities, Sch Tourism & Resources Environm, Duyun 558000, Guizhou, Peoples R China
[2] Guizhou South Scen Spot Engn Res Ctr Karst Cave T, Duyun 558000, Guizhou, Peoples R China
[3] Shijiazhuang Tiedao Univ, Sch Civil Engn, Shijiazhuang 050043, Hebei, Peoples R China
[4] Changan Univ, Sch Water & Environm, Xian 710054, Shaanxi, Peoples R China
关键词
FAST; Risk assessment; Landslide; Fuzzy hierarchical method; GIS;
D O I
10.1007/s12665-021-09571-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the context of circular high steep slopes within a 500-m aperture spherical radio telescope (FAST) site in Pingtang, Guizhou Province in southwest China, a pertinent small-area karst landslide risk assessment is carried out based on geographic information system and fuzzy analytical hierarchy process. Results show the following: (a) The AUC value of hazard assessment is 0.826, which means a good adaptability and a relatively higher accuracy, and the AUC value of risk assessment is 0.803, which means the accuracy of landslide risk assessment is within acceptable level. (b) The slopes of FAST area are generally at the medium or low-hazard level, with high-hazard region accounting for only 3.17% of the total area. High-hazard regions are primarily found in two locations, one is located in nearby the Guangmingding slope where the dangerous rock masses were basically cleared away, the other is located in nearby feed tower 5H where potentially unstable rock masses were reinforced to improve the stability of slope. (c) High-vulnerability area of FAST accounts for approximately 43.62%. As a direct result, the high-risk area of FAST site accounts for 34.36% based on the overlap of vulnerability and hazard. The high risk is concentrated in the surrounding areas such as the feed tower, support pillar, and telescope mirror, and the high-risk area overlaps most of the fault fracture zone in the study area. Our findings provide meaningful references for landslide prevention and monitoring of FAST areas and are instructive in theory and practice.
引用
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页数:15
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共 59 条
[1]   Investigating a potential reservoir landslide and suggesting its treatment using limit-equilibrium and numerical methods [J].
Babanouri, Nima ;
Dehghani, Hesam .
JOURNAL OF MOUNTAIN SCIENCE, 2017, 14 (03) :432-441
[2]  
Cao L., 2013, SAF ENV ENG, V20, P38
[3]  
[曹璞源 Cao Puyuan], 2017, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V31, P136
[4]   Progressive modelling of the gravity-induced landslide using the local dynamic strength reduction method [J].
Chen Guo-qing ;
Huang Run-qiu ;
Xu Qiang ;
Li Tian-bin ;
Zhu Ming-lei .
JOURNAL OF MOUNTAIN SCIENCE, 2013, 10 (04) :532-540
[5]  
Chen HB, 2018, 2018 3RD TECHNOLOGY INNOVATION MANAGEMENT AND ENGINEERING SCIENCE INTERNATIONAL CONFERENCE (TIMES-ICON)
[6]  
[陈丽霞 CHEN Lixia], 2008, [自然灾害学报, Journal of Natural Disasters], V17, P65
[7]  
Chen XK., 2015, J WATER RESOUR WATER, V26, P50
[8]   Validation of spatial prediction models for landslide hazard mapping [J].
Chung, CJF ;
Fabbri, AG .
NATURAL HAZARDS, 2003, 30 (03) :451-472
[9]   Recommendations for the quantitative analysis of landslide risk [J].
Corominas, J. ;
van Westen, C. ;
Frattini, P. ;
Cascini, L. ;
Malet, J. -P. ;
Fotopoulou, S. ;
Catani, F. ;
Van Den Eeckhaut, M. ;
Mavrouli, O. ;
Agliardi, F. ;
Pitilakis, K. ;
Winter, M. G. ;
Pastor, M. ;
Ferlisi, S. ;
Tofani, V. ;
Hervas, J. ;
Smith, J. T. .
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2014, 73 (02) :209-263
[10]   Topo-stress based probabilistic model for shallow landslide susceptibility zonation in the Nepal Himalaya [J].
Dahal, Ranjan Kumar ;
Bhandary, Netra Prakash ;
Hasegawa, Shuichi ;
Yatabe, Ryuichi .
ENVIRONMENTAL EARTH SCIENCES, 2014, 71 (09) :3879-3892