Spatial distribution characteristics and influence factor analysis of landslides——case study of the Hanwang area in Qinba MountainsOA
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/km~2, 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.
Jikai Zhang;Yanbo Cao;Wen Fan;Wenbo Zheng;Zequan Wang;Chengcheng He;Hongquan Teng;
School of Geological Engineering and Geomatics,Chang’an University,Xi''an,710054,ChinaSchool of Geological Engineering and Geomatics,Chang’an University,Xi''an,710054,China Mine Geological Disasters Mechanism and Prevention Key Laboratory,Xi''an,710054,China Chang''an University,Xi''an,Shaanxi,ChinaSchool of Geological Engineering and Geomatics,Chang’an University,Xi''an,710054,China Mine Geological Disasters Mechanism and Prevention Key Laboratory,Xi''an,710054,China China DK Comprehensive Investigate and Design Research Institute Co.,Ltd.,Xi''an,710054,ChinaShaanxi Engineering Technology Research Center for Urban Geology and Underground Space,Xi''an,710068,China Shaanxi Hydrogeology,Engineering Geology and Environment Geology Survey Center,Xi''an,710068,China
地质学
LandslideSpatial distributionInfluence factorLandslide densityDeformation mechanismDEM
《Earthquake Research Advances》 2024 (003)
P.55-65 / 11
financially supported by the National Key Research and Development Program of China(2022YFC3003400);National Natural Science Foundation of China(No. 41402254);Department of Science and Technology of Shaanxi Province(No. 2019ZDLSF07-0701, 2022SF-445)。
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