China Safety Science Journal ›› 2025, Vol. 35 ›› Issue (1): 178-185.doi: 10.16265/j.cnki.issn1003-3033.2025.01.0480

• Technology and engineering of disaster prevention and mitigation • Previous Articles     Next Articles

Assessment of regional landslide susceptibility based on fractal theory and information amount method of GIS

CAO Hongyang1(), REN Xiaoying2, LI Zhiqiang3   

  1. 1 College of Urban Geology and Engineering, Hebei GEO University, Shijiazhuang Hebei 050031, China
    2 Hebei Geological Engineering Exploration Institute, Baoding Hebei 071000, China
    3 Zhongjiao Hebei Civil Engineering Co., Ltd. Shijiazhuang Hebei 051433, China
  • Received:2024-08-14 Revised:2024-10-18 Online:2025-01-28 Published:2025-07-28

Abstract:

In order to reduce the losses caused by landslide disasters, taking Changde city of Hunan province as an example, the fractal theory and information method were applied to evaluate the regional landslide susceptibility based on field investigation and historical landslide data. The sensitivity of influence factors was quantitatively studied by fractal theory. The information values of each secondary impact factor were obtained by using the information method, and the comprehensive information values were obtained by combining the fractal dimension value and the information value. Based on the values, the susceptibility zoning of the study area was carried out. The results show that the slope, engineering geological rock group, elevation and vegetation are the influencing factors that have a second-order cumulative and fractal distribution with the landslide, while other influencing factors have a first-order cumulative and fractal distribution with the landslide. The areas of very low, low, medium, high and very high susceptibility areas respectively account for 5.24%, 8.84%, 35.06%, 39.21% and 11.65% respectively. Annual rainfall greater than 1 600 mm, slope of 20-30° and elevation of 900-1100m are important factors.

Key words: geographic information system (GIS), information amount method, assessment of regional landslide susceptibility, fractal theory, geological hazard

CLC Number: