湖北农业科学 ›› 2026, Vol. 65 ›› Issue (7): 51-59.doi: 10.14088/j.cnki.issn0439-8114.2026.07.009

• 资源·环境 • 上一篇    下一篇

鄂西南国家重点生态功能区地质灾害空间格局及影响因素空间异质性

束楠楠1, 潘方杰2   

  1. 1.武汉市农业技术推广中心,武汉 430023;
    2.武汉工程大学管理学院,武汉 430205
  • 收稿日期:2026-01-26 出版日期:2026-07-25 发布日期:2026-07-23
  • 通讯作者: 潘方杰(1989-),男,河南叶县人,副教授,博士,主要从事生态环境与土地资源利用研究,(电子信箱)panfangjie@wit.edu.cn。
  • 作者简介:束楠楠(1992-),女,河南开封人,农艺师,硕士,主要从事生态环境与地理信息系统应用研究,(电子信箱)shunannan226@126.com。
  • 基金资助:
    国家自然科学基金资助项目(42401330)

Spatial pattern and influencing factor spatial heterogeneity of geological hazards in the national key ecological function zone of southwestern Hubei

SHU Nan-nan1, PAN Fang-jie2   

  1. 1. Wuhan Agricultural Technology Extension Center, Wuhan 430023, China;
    2. School of Management, Wuhan Institute of Technology, Wuhan 430205, China
  • Received:2026-01-26 Published:2026-07-25 Online:2026-07-23

摘要: 为了系统揭示鄂西南国家重点生态功能区地质灾害的空间分布规律及其驱动机制,为基层防灾减灾与区域生态安全维护提供科学依据,以典型地质灾害易发区湖北省长阳县为案例区,在村域尺度上探究地质灾害空间格局及影响因素的空间异质性。综合运用标准差椭圆分析、核密度估计与探索性空间数据分析(ESDA)刻画灾害空间分异特征,并借助地理加权回归(GWR)模型与地理探测器模型定量解析核心影响因素的空间异质性及其交互作用机制。结果表明,长阳县地质灾害主要沿清江呈“东(略偏北)—西(略偏南)”带状集聚分布,向心力强且方向性明显。村域尺度灾害分布具有明显的空间自相关性,呈现3大热点、2大冷点的块状格局,清江沿岸及人口密集区灾害点密度最高。路网密度、地形起伏度、高程、人口密度和植被覆盖度是主要驱动因子。冷、热点区表现为非线性增强与双因子增强并存,交互强度存在显著空间分异。研究可为鄂西南重点生态功能区地质灾害精准防控、空间规划优化及人地关系协调提供决策参考,建议因地制宜加强热点区监测预警与综合治理,严格管控地质灾害高敏感区的人类工程活动强度。

关键词: 地质灾害, 空间格局, 影响因素, 空间异质性, 国家重点生态功能区, 鄂西南

Abstract: In order to systematically reveal the spatial distribution patterns and driving mechanisms of geological hazards in the national key ecological function zone of southwestern Hubei, and to provide a scientific basis for grassroots disaster prevention and mitigation and regional ecological security maintenance, this study took Changyang County of Hubei Province, a typical geological hazard-prone area, as a case area and investigated the spatial pattern of geological hazards and the spatial heterogeneity of influencing factors at the village scale. Standard deviational ellipse analysis, kernel density estimation, and exploratory spatial data analysis (ESDA) were comprehensively employed to characterize the spatial differentiation features of the hazards, and the geographically weighted regression (GWR) model and the geographical detector model were used to quantitatively analyze the spatial heterogeneity of the core influencing factors and their interaction mechanisms. The results showed that the geological hazards in Changyang County were mainly distributed in a banded cluster along the Qingjiang River in an east (slightly north) - west (slightly south) orientation, with strong centrality and pronounced directionality. The hazard distribution at the village scale exhibited significant spatial autocorrelation, presenting a block-like pattern of three major hot spots and two major cold spots, with the highest point density of hazards along the Qingjiang River and in densely populated areas. Road network density, relief amplitude, elevation, population density, and vegetation coverage were the main driving factors. The cold and hot spot areas exhibited a coexistence of nonlinear enhancement and bi-factor enhancement, with significant spatial differentiation in interaction intensity. This study could provide decision-making references for the precise prevention and control of geological hazards, the optimization of spatial planning, and the coordination of human-land relationships in the key ecological function zone of southwestern Hubei, and it was recommended that monitoring, early warning, and comprehensive management in hot spot areas be strengthened according to local conditions, and that the intensity of human engineering activities in highly geological hazard-sensitive areas be strictly controlled.

Key words: geological hazards, spatial pattern, influencing factors, spatial heterogeneity, national key ecological function zone, southwestern Hubei

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