Susceptibility assessment and driving factor analysis of geological hazards in complex landform areas: insights from sichuan, China

IF 4.2 2区 工程技术 Q3 ENGINEERING, ENVIRONMENTAL
Mingyang Li, Yibin Ao, Panyu Peng, Jianjun Zhao
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Abstract

Geological hazards pose a significant threat to the safety of residents and the socio-economic development of mountainous regions. A scientifically sound susceptibility assessment is crucial for disaster prevention and mitigation. Taking Sichuan Province as a case study, this research constructs a 15 m × 15 m grid scale and employs the information value model to assess geological hazard susceptibility, while integrating the geodetector method to quantify key driving factors and their interactions. The results indicate that high-susceptibility areas account for 22.73% of the province’s total area but contain 65.15% of the identified geological hazard points, demonstrating the model’s high spatial resolution and predictive accuracy. Elevation, slope, land use type, and road networks are the primary influencing factors, with interactions between elevation and slope, as well as land use type and precipitation, further amplifying geological hazard susceptibility. Moreover, areas within 0–300 m from roads exhibit significantly higher geological hazard susceptibility than other regions, highlighting engineering disturbances as a key triggering factor. The findings provide a scientific basis for geological hazard prevention and control in Sichuan Province and other mountainous areas. It is recommended to strengthen monitoring and early warning systems in high-susceptibility zones, optimize infrastructure planning, and implement ecological restoration measures to reduce disaster risks. This study enhances the understanding of the spatial distribution and driving mechanisms of geological hazards, offering theoretical support for disaster prevention and mitigation strategies in mountainous regions.

复杂地貌地区地质灾害易感性评价与驱动因素分析——来自四川的启示
地质灾害对山区居民安全和社会经济发展构成重大威胁。科学合理的易感性评估对防灾减灾至关重要。以四川省为例,构建15 m × 15 m网格尺度,采用信息价值模型进行地质灾害易感性评价,并结合地质探测器方法量化关键驱动因素及其相互作用。结果表明,高易感区面积占全省总面积的22.73%,但占已识别地质危险点的65.15%,表明该模型具有较高的空间分辨率和预测精度。高程、坡度、土地利用类型和道路网络是主要影响因素,高程和坡度、土地利用类型和降水之间存在交互作用,进一步放大了地质灾害的易感性。此外,距离道路0 ~ 300 m区域的地质灾害易感性显著高于其他区域,表明工程干扰是关键的触发因素。研究结果为四川省及其他山区的地质灾害防治提供了科学依据。建议加强高易感地区的监测预警系统,优化基础设施规划,实施生态修复措施,降低灾害风险。该研究增强了对山区地质灾害空间分布及其驱动机制的认识,为山区防灾减灾战略提供理论支持。
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来源期刊
Bulletin of Engineering Geology and the Environment
Bulletin of Engineering Geology and the Environment 工程技术-地球科学综合
CiteScore
7.10
自引率
11.90%
发文量
445
审稿时长
4.1 months
期刊介绍: Engineering geology is defined in the statutes of the IAEG as the science devoted to the investigation, study and solution of engineering and environmental problems which may arise as the result of the interaction between geology and the works or activities of man, as well as of the prediction of and development of measures for the prevention or remediation of geological hazards. Engineering geology embraces: • the applications/implications of the geomorphology, structural geology, and hydrogeological conditions of geological formations; • the characterisation of the mineralogical, physico-geomechanical, chemical and hydraulic properties of all earth materials involved in construction, resource recovery and environmental change; • the assessment of the mechanical and hydrological behaviour of soil and rock masses; • the prediction of changes to the above properties with time; • the determination of the parameters to be considered in the stability analysis of engineering works and earth masses.
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