水文地质工程地质2026，Vol.53Issue(2)：48-62,15.DOI:10.16030/j.heg.202510027
我国南方14省市多尺度孕灾地质环境分区
Multi-scale disaster prone geological environment zoning in 14 provinces and cities of southern China
摘要
Abstract
Southern China is characterized by diverse types and widespread distribution of geological hazards,with highly complex and heterogeneous hazard-forming environments.Revealing the spatial differentiation patterns of these environments is essential for disaster prevention and mitigation.This study employed the expert scoring method,analytic hierarchy process,and K-means clustering to construct a multi-scale zonation system of hazard-forming environments for 14 provinces and municipalities in southern China(excluding Shanghai,Hong Kong,Macao,Taiwan of China and the South China Sea Islands).Based on key controlling factors,including topography and geomorphology,lithology,geological hazard distribution,and human engineering activities,first-,second-,and third-level zonation were established,followed by morphological filtering for post-processing.According to the proposed multi-scale disaster-pregnant geological environment zoning system,14 provinces and municipalities in southern China are divided into 8 primary partitions,40 secondary partitions,and 268 tertiary partitions.The resulting zonation maps for hazard-forming environments in southern China align well with natural geographic boundaries and present strong interpretability.The hazard-forming environment grade shows a negative correlation with geological hazard density,confirming the scientific soundness and rationality of the proposed zonation system.The multi-scale zonation framework developed in this study not only provides a hierarchical representation of hazard-forming environments across the 14 provinces of southern China but also offers reliable technical support for geological hazard risk assessment and refined disaster prevention and control.关键词
地质灾害/孕灾地质环境/中国南方地区/层次分析法/K均值聚类Key words
geological disaster/disaster prone geological environment/southern China/analytic hierarchy process/K-means clustering分类
资源环境引用本文复制引用
吴益平,殷坤龙,曲雪妍,苗发盛..我国南方14省市多尺度孕灾地质环境分区[J].水文地质工程地质,2026,53(2):48-62,15.基金项目
国家重点研发计划项目(2023YFC3007201) （2023YFC3007201）
