Abstract: Taking the disaster-inducing environment zoning of highway flood in Guizhou province as research object, seven disaster-inducing factors were selected to build the evaluation index system for disaster-inducing environment zoning of highway flood. These seven factors included topography and landform, rainfall, river network density, stratigraphic lithology, development of geological hazards, vegetation coverage and population density. Combining with the relevant statistical data, the grey clustering analysis method was used to calculate each index. According to the quantitative evaluation criteria of indicators, the highway flood disaster-inducing environment was classified into four grades: extremely sensitive area, highly sensitive area, medium sensitive area and low sensitive area. The results show that the grades for disaster-inducing environment of county highway flood in Guizhou Province are mainly highly sensitive area and medium sensitive area. And the proportion of county-level region for those two grades is up to 87.5%, which means the disaster-inducing environment of highway flood is extremely mature. These research results can provide theoretical support for the prevention and reduction of highway flood disaster.

Key words: road engineering, environmental engineering, highway flood, disaster-inducing factors, gray clustering method, disaster grade

摘要： 以贵州省公路洪灾孕灾环境为研究对象，选取地形地貌、降雨量、河网密度、地层岩性、地质灾害发育状况、植被覆盖率、人口密度 等7个孕灾环境因子建立了公路洪灾孕灾环境分区评价指标体系；结合相关统计资料，运用灰色聚类分析法对各指标进行计算，并根据指标 量化赋值标准，将公路洪灾孕灾环境进行等级划分为4个等级区域：极高敏感区、高敏感区、中等敏感区和低敏感区。结果表明：贵州省县 域公路洪灾孕灾环境以高敏感区和中等敏感区为主，所占县级区域数量比例高达87.50%，洪灾孕灾环境十分成熟。研究成果可为公路洪灾防 灾减灾工作提供理论支撑。

关键词: 道路工程, 环境工程, 公路洪灾, 孕灾因子, 灰色聚类分析法, 灾害等级