Spatial distribution characteristics and influence factor analysis of landslides——case study of the Hanwang area in Qinba Mountains

被引:0
|
作者
Jikai Zhang [1 ]
Yanbo Cao [1 ,2 ]
Wen Fan [1 ,2 ,3 ]
Wenbo Zheng [1 ]
Zequan Wang [1 ]
Chengcheng He [1 ]
Hongquan Teng [4 ,5 ]
机构
[1] School of Geological Engineering and Geomatics, Chang'an University
[2] Mine Geological Disasters Mechanism and Prevention Key Laboratory
[3] China DK Comprehensive Investigate and Design Research Institute Co,Ltd
[4] Shaanxi Engineering Technology Research Center for Urban Geology and Underground Space
[5] Shaanxi Hydrogeology, Engineering Geology and Environment Geology Survey
关键词
D O I
暂无
中图分类号
P642.22 [滑坡];
学科分类号
0837 ;
摘要
The geological hazards of landslides in Hanwang Town, Ziyang County, Ankang City, Shaanxi Province, have emerged. Yet, the current understanding of the spatial distribution characteristics and influencing factors of landslides in this area remains unclear. Combining the results of remote sensing interpretation and field investigation, seven influencing factors, namely, elevation, slope direction, slope gradient, distance from rivers, distance from faults, engineering geologic lithology, and distance from roads, are selected for the study. The distribution characteristics of landslides in each influencing factor and the influence of the resolution of the Digital Elevation Model(DEM) on the results are statistically and analytically analyzed. Furthermore, two highrisk landslides within the study area were subjected to comprehensive analysis, integrating the findings from drilling and other field investigations in order to examine their deformation mechanisms. Based on this analysis,the following conclusions were derived:(1) 34 landslides in the study area, mainly small earth landslides, with a distribution density of 0.42/km2, threatening 414 people and property of about 55.87 million Yuan.(2)The landslides in the study area easily occur in the <400 m elevation range; the landslides are developed in all slope directions, the gradient is mainly concentrated in the range of 10°–40°, the distribution density of the landslides is higher in the closer distance from the river and the faults(0–200 m), the landslide-prone strata are mainly the softer and weaker metamorphic rocks, and the landslides are mainly around roads.(3) The resolution of the DEM should be selected based on the specific conditions of the study area, the requirements of the investigation, and the scale of the landslide. Opting for an appropriate DEM resolution is advantageous for understanding the patterns of landslides and conducting risk assessments in the region.(4) The Zhengjiabian landslide is a traction Landslide. The landslide body is a binary structure of gravel soil and slate weathering layer, and the damage process can be divided into three stages:(1)damage to the leading edge and stress release,(2)continuous creep and cracking,(3)rainfall infiltration and damage. The predominant slope material in the Brickyard landslide comprises clay, and the landslide is triggered by a combination of the traction effect resulting from the excavation at the slope's base and the nudging effect caused by the stacking load of the brick factory. Additionally, the Brickyard landslide exhibits persistent creep deformation. The study results provide a scientific basis for disaster prevention and mitigation in the Hanwang Township area.
引用
收藏
页码:55 / 65
页数:11
相关论文
共 50 条
  • [31] Spatial distribution of lead (Pb) in soil: a case study in a contaminated area of the Czech Republic
    Francos, Nicolas
    Gholizadeh, Asa
    Ben Dor, Eyal
    GEOMATICS NATURAL HAZARDS & RISK, 2022, 13 (01) : 610 - 620
  • [32] Analysis of the Spatial Distribution Characteristics of Urban Resilience and Its Influencing Factors: A Case Study of 56 Cities in China
    Zhang, Maomao
    Chen, Weigang
    Cai, Kui
    Gao, Xin
    Zhang, Xuesong
    Liu, Jinxiang
    Wang, Zhiyuan
    Li, Deshou
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (22)
  • [33] Temporal and spatial distribution characteristics and causes analysis of seasonal drought in hilly area of central Sichuan
    Liang, C. (lchester@sohu.com), 1600, Chinese Society of Agricultural Engineering (29):
  • [34] Analysis of the Spatial Distribution Characteristics and Influencing Factors of Traditional Mosque Architecture in the Hehuang Area (China)
    Huang, Yuehao
    Xue, Qianming
    BUILDINGS, 2024, 14 (05)
  • [35] MODELING LANDSCAPE SPATIAL FREQUENCY CHARACTERISTICS -- CASE STUDY IN LOESS HILLY AREA OF CHINA
    Tu, Xiang
    Wang, Chunmei
    Yang, Qinke
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 6032 - 6035
  • [36] STUDY ON CARBON FOOTPRINT AND SPATIAL DISTRIBUTION CHARACTERISTICS OF HUMAN ACTIVITIES IN JIUZHAI VALLEY SCENIC AREA
    Sun, R. H.
    Ye, X. L.
    Gao, J.
    Zhu, Z. F.
    Du, J.
    APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2019, 17 (04): : 7477 - 7493
  • [37] Spatial Susceptibility Assessment of Landslides Based on Random Forest: A Case Study from Hubei Section in the Three Gorges Reservoir Area
    Wu R.
    Hu X.
    Mei H.
    He J.
    Yang J.
    Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences, 2021, 46 (01): : 321 - 330
  • [38] INFLUENCING FACTOR ANALYSIS AND DISPLACEMENT PREDICTION IN RESERVOIR LANDSLIDES - A CASE STUDY OF THREE GORGES RESERVOIR (CHINA)
    Huang, Faming
    Yin, Kunlong
    He, Tao
    Zhou, Chao
    Zhang, Jun
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2016, 23 (02): : 617 - 626
  • [39] Spatial Distribution Characteristics and Influence Factors of Soil Heavy Metal Contents in Oasis Area of Yutian County, Xinjiang
    Chen Y.
    Zeng Y.
    Zhou J.
    Wang S.
    Du J.
    Liu Y.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2019, 50 (04): : 263 - 273
  • [40] Research on the characteristics, driving mechanism and spatial pattern of carbon sink in alpine ecosystem: A study case of Qilian Mountains
    Liu, Yiwen
    Chen, Rensheng
    Han, Chuntan
    Liu, Zhangwen
    Zhao, Yanni
    Yang, Zhiwei
    AGRICULTURAL AND FOREST METEOROLOGY, 2024, 356