ISSN 1000-3665 CN 11-2202/P

    我国南方15省市多尺度孕灾地质环境分区

    Multi-scale disaster prone geological environment zoning in 15 provinces and cities of southern China

    • 摘要: 我国南方地区地质灾害类型多样、分布广泛,与复杂多变的孕灾地质环境条件密切相关,揭示区域孕灾地质环境空间分异规律对于防灾减灾具有重要意义。本文采用专家评分法、层次分析法(AHP)与K均值聚类方法,以地形地貌、地层岩性、地质灾害分布、人类工程活动等孕灾因子为基础,分别完成南方15省市一级、二级与三级孕灾地质环境分区,并使用形态学滤波进行后处理。根据提出的多尺度孕灾地质环境分区体系,将中国南方地区15省分为一级分区8个,二级分区40个,三级分区268个。孕灾地质环境分区结果符合自然地理边界,且具有良好的可解释性。孕灾地质环境等级与地质灾害密度特征呈负相关关系,验证了分区孕灾地质环境分区结果的科学性与合理性。构建的多尺度孕灾地质环境分区体系不仅实现了南方地区15省市孕灾地质环境的分级表达,也为南方地区地质灾害易发性评价提供了可靠的技术支撑。

       

      Abstract: The types of geological disasters in southern China are diverse and widely distributed, which are closely related to the complex and changeable geological environment conditions. It is of great significance to reveal the spatial differentiation law of regional geological environment for disaster prevention and mitigation. In this paper, the expert scoring method, analytic hierarchy process (AHP) and K-means clustering method are used to complete the division of the first-class, second-class and third-class disaster pregnant geological environment in 15 provinces and cities in the South based on the factors such as landform, formation lithology, geological disaster distribution and human engineering activities, and morphological filtering is used for post-processing. According to the proposed multi-scale disaster prone geological environment zoning system, 15 provinces in southern China are divided into 8 first-class zoning, 40 second-class zoning and 268 third-class zoning. The zoning results of disaster pregnant geological environment conform to the natural geographical boundaries and have good interpretability. The grade of disaster pregnant geological environment is negatively correlated with the density characteristics of geological disasters, which verifies the scientific and rationality of the zoning results of disaster pregnant geological environment. The multi-scale disaster prone geological environment zoning system not only realizes the hierarchical expression of disaster prone geological environment in 15 provinces and cities in southern China, but also provides reliable technical support for the evaluation of geological disaster susceptibility in southern China.

       

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