基于斜坡单元的崩滑灾害易发性精细化评价——以广州市增城区派潭镇为例

doi:10.3976/j.issn.1002-4026.2025129

山东科学

• 环境与生态 •

基于斜坡单元的崩滑灾害易发性精细化评价——以广州市增城区派潭镇为例

余林，黄厚赞^﹡，刘羊，梁柱，徐光平，黄佳铭

广州市城市规划勘测设计研究院有限公司广州市资源规划和海洋科技协同创新中心广东省城市感知与监测预警企业重点实验室,广东广州510060

收稿日期:2025-10-29 接受日期:2025-12-11 出版日期:2026-07-14 上线日期:2026-07-14
通信作者: 黄厚赞 E-mail:huanghouzan@foxmail.com
作者简介:余林（1994—），男，工程师，研究方向为地灾调查评价。E-mail：453613863@qq.com
基金资助:
广东省重点领域研发计划资助(2020B0101130009);广东省城市感知与监测预警企业重点实验室基金项目（2020B121202019）；广州市城市规划勘测设计研究院有限公司科技基金（RD12240204002）

Fine-scale susceptibility assessment of landslide-collapse hazards based on slope units: a case study of Paitan Town in Zengcheng District, Guangzhou

YU Lin, HUANG Houzan*, LIU Yang, LIANG Zhu,XU Guangping, HUANG Jiaming

Collaborative Innovation Center for Natural Resources Planning and Marine Technology of Guangzhou, Guangzhou, Guangdong Enterprise Key Laboratory for Urban Sensing Monitoring and Early Warning ，Guangzhou Urban Planning & Design Survey Research Institute Co., Ltd., Guangzhou, 510060, China

Received:2025-10-29 Accepted:2025-12-11 Published:2026-07-14 Online:2026-07-14
Contact: HUANG Houzan E-mail:huanghouzan@foxmail.com

摘要/Abstract

摘要： 为提升崩滑灾害易发性评价的精细化水平，以广州市增城区派潭镇为研究区，基于地理信息系统（GIS）平台采用“集水区重叠法”划分出2 579个斜坡单元作为基本评价单元。选取高程、坡度、坡向、坡形、工程地质岩组、地质构造、植被覆盖度与土地利用类型等8项关键指标，结合信息量模型与层次分析法确定各因子权重，进而实现地质灾害易发性分区。结果表明：研究区可划分为高、中、低和非四个易发性等级，其面积占比分别为8.59%、41.31%、25.52%和24.58%；高易发区集中分布于北部山区，该区域地形陡峭、岩体结构破碎、人类工程活动强烈，是灾害防治的优先区域。评价结果经ROC曲线验证，精度达85%，表明该方法在本区域具有良好适用性，可为地质灾害风险防控与国土空间规划提供支持。

关键词: 斜坡单元, 山地灾害, 信息量模型, 易发性评价

Abstract: To enhance the fine-scale susceptibility assessment of landslide-collapse hazards, Paitan Town in Zengcheng District, Guangzhou, was selected as the study area. Based on the geographic information system platform, 2,579 slope units were delineated as the basic assessment units using the “catchment-area overlap method.” Eight key indicators, namely, elevation, slope gradient, slope aspect, slope shape, engineering geological rock group, geological structure, vegetation coverage, and land use type, were selected. The weights of these factors were determined by combining the information value model and the analytic hierarchy process, leading to the susceptibility zoning of geological hazards. The results indicated that the study area can be categorized into four susceptibility levels: high, medium, low, and non-susceptible, accounting for 8.59%, 41.31%, 25.52%, and 24.58% of the total area, respectively. The high-susceptibility areas were concentrated in the northern mountainous region, characterized by steep terrain, fragmented rock structure, and intensive human engineering activities, making them the priority areas for disaster prevention and control. The assessment results were validated using receiver operating characteristic curves, with an accuracy of 85%, indicating that the proposed method is highly applicable to the region and can support geological hazard prevention and territorial spatial planning.

Key words: slope unit, mountain hazards, information value model, susceptibility assessment

中图分类号:

P642.22

余林, 黄厚赞, 刘羊, 梁柱, 徐光平, 黄佳铭. 基于斜坡单元的崩滑灾害易发性精细化评价——以广州市增城区派潭镇为例 [J]. 山东科学, 0, (): 1-.

YU Lin, HUANG Houzan, LIU Yang, LIANG Zhu, XU Guangping, HUANG Jiaming. Fine-scale susceptibility assessment of landslide-collapse hazards based on slope units: a case study of Paitan Town in Zengcheng District, Guangzhou[J]. Shandong Science, 0, (): 1-.

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基于斜坡单元的崩滑灾害易发性精细化评价——以广州市增城区派潭镇为例

Fine-scale susceptibility assessment of landslide-collapse hazards based on slope units: a case study of Paitan Town in Zengcheng District, Guangzhou

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