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

被引:0
|
作者
Wangsheng Pan
Liangtong Fu
Hanli Xiao
Xiulian Yu
Xin Li
Xiaozhou Zhang
Tianyin Zhao
机构
[1] Qiannan Normal University for Nationalities,School of Tourism and Resources Environment
[2] Guizhou South Scenic Spot Engineering Research Center for Karst Cave Tourism Resources Development and Ecological Environmental Protection,School of Civil Engineering
[3] Shijiazhuang Tiedao University,School of Water and Environmental
[4] Chang’an University,undefined
来源
关键词
FAST; Risk assessment; Landslide; Fuzzy hierarchical method; GIS;
D O I
暂无
中图分类号
学科分类号
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
收藏
相关论文
共 50 条
  • [21] An innovative, fast method for landslide susceptibility mapping using GIS-based LSAT toolbox
    Ali Polat
    Environmental Earth Sciences, 2021, 80
  • [22] An innovative, fast method for landslide susceptibility mapping using GIS-based LSAT toolbox
    Polat, Ali
    ENVIRONMENTAL EARTH SCIENCES, 2021, 80 (06)
  • [23] Fuzzy comprehensive study on seismic landslide hazard based on GIS
    Chen, Xiaoli
    Qi, Shengwen
    Ye, Hong
    Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis, 2008, 44 (03): : 434 - 438
  • [24] A Geospatial Assessment Framework of Seismic and Landslide Risk Using GIS
    Konti, Christina
    Vatalis, Konstantinos, I
    INTERNATIONAL JOURNAL OF APPLIED GEOSPATIAL RESEARCH, 2022, 13 (01)
  • [25] Risk assessment of avalanches - A fuzzy GIS application
    Hemetsberger, M
    Klinger, G
    Niederer, S
    Benedikt, J
    COMPUTATIONAL INTELLIGENT SYSTEMS FOR APPLIED RESEARCH, 2002, : 395 - 402
  • [26] GIS-based landslide hazard assessment: an overview
    Wang, HB
    Liu, GJ
    Xu, WY
    Wang, GH
    PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT, 2005, 29 (04): : 548 - 567
  • [27] An Integrated Risk Index Model Based on Hierarchical Fuzzy Logic for Underground Risk Assessment
    Fayaz, Muhammad
    Ullah, Israr
    Park, Dong-Hwan
    Kim, Kwangsoo
    Kim, DoHyeun
    APPLIED SCIENCES-BASEL, 2017, 7 (10):
  • [28] An earthquake risk assessment method based on fuzzy probability
    Karimi, I
    Hüllermeier, E
    Meskouris, K
    APPLIED COMPUTATIONAL INTELLIGENCE, 2004, : 376 - 381
  • [29] Risk Assessment of Banks Based On Fuzzy Reasoning Method
    Zhou Junjie
    Wang Dingbiao
    Li Xiaoqian
    ADVANCES IN MANAGEMENT OF TECHNOLOGY, PT 2, 2010, : 74 - 77
  • [30] Risk assessment based on fuzzy synthetic evaluation method
    Akter, Marin
    Jahan, Momtaz
    Kabir, Rubaiya
    Karim, Dewan Sadia
    Haque, Anisul
    Rahman, Munsur
    Salehin, Mashfiqus
    SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 658 : 818 - 829