中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (1): 178-185.doi: 10.16265/j.cnki.issn1003-3033.2025.01.0480

• 防灾减灾技术与工程 • 上一篇    下一篇

基于GIS的分形理论和信息量法的区域滑坡易发性评价

曹洪洋1(), 任晓莹2, 李志强3   

  1. 1 河北地质大学 城市地质与工程学院,河北 石家庄 050031
    2 河北省地质工程勘查院, 河北 保定 071000
    3 中交河北土木工程有限公司,河北 石家庄 051433
  • 收稿日期:2024-08-14 修回日期:2024-10-18 出版日期:2025-01-28
  • 作者简介:

    曹洪洋 (1975—),男,河北南宫人,博士,教授,主要从事地质灾害和岩土工程方面的研究。E-mail:

    任晓莹 工程师

    李志强 高级工程师

  • 基金资助:
    国家自然科学基金资助(41807231); 河北省自然科学基金资助(D2023403055)

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 Published:2025-01-28

摘要:

为减少滑坡灾害带来的损失,以湖南省常德市为例,基于野外调查和历史滑坡数据,将分形理论和信息量法应用于区域滑坡易发性评价。利用分形理论定量研究影响因子的敏感性,再进一步利用信息量法得到各二级影响因子的信息量值,通过综合分维值和信息量值得到综合信息量值,以此值对研究区进行易发性分区。结果表明: 影响因子中的坡度、工程地质岩组、高程及植被等与滑坡呈二阶累计和分形分布,而其他影响因子与滑坡呈一阶累计和分形分布,通过其分维值,确定影响因子与滑坡之间的定量关系。极低、低、中、高、极高易发性区面积占比分别为5.24%、8.84%、35.06%、39.21%、11.65%,其中,年降雨量大于1 600 mm、坡度20~30°和高程900~1 100 m等影响因子为重要影响因子。

关键词: 地理信息系统(GIS), 信息量法, 区域滑坡易发性评价, 分形理论, 地质灾害

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

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