详细信息
山地城市内涝灾害风险评价研究——以贵阳市为例 被引量:3
Research on risk assessment of waterlogging in mountainous cities: a case study of Guiyang city
文献类型:期刊文献
中文题名:山地城市内涝灾害风险评价研究——以贵阳市为例
英文题名:Research on risk assessment of waterlogging in mountainous cities: a case study of Guiyang city
作者:尹昌应 戴丽 徐丹丹 赵禹韩 郑佳薇 王平
第一作者:尹昌应
机构:[1]贵州理工学院建筑与城市规划学院,贵阳550003;[2]贵州师范大学地理与环境科学学院,贵阳550025;[3]贵州省山地资源与环境遥感应用重点实验室,贵阳550025;[4]贵州省气象学会,贵阳550002
第一机构:贵州理工学院建筑与城市规划学院
年份:2022
卷号:39
期号:4
起止页码:64-69
中文期刊名:气象水文海洋仪器
外文期刊名:Meteorological,Hydrological and Marine Instruments
基金:贵州省科学技术基金重点项目(黔科合基础[2017]1409);贵州理工学院高层次人才科研启动经费项目(GCKY-2016-1476)资助。
语种:中文
中文关键词:喀斯特;山地城市;内涝灾害;风险评价;贵阳
外文关键词:karst;mountain city;waterlogging disaster;risk assessment;Guiyang
摘要:为了减少城市洪涝灾害给世界各国各地城市特别是山地城市发展带来的影响。文章以贵州省贵阳市主城区为研究区,利用高精度遥感影像提取土地利用类型,结合气象、人口、GDP和地形数据,使用正负向指标与层次分析法,计算研究区的内涝风险空间分布特征。结果表明:研究区内中级以上风险区占比52.09%,主要分布于中部和北部;中级以上风险区在个别行政区内占比较大,最高可达90.90%;内涝风险等级与区域经济发展、降水、地形和人口密切相关,并与典型喀斯特地貌有较高相关性。所得结果可丰富相关学科领域研究内容,为当地城市内涝灾害防治和空间管理决策提供参考依据。
In order to reduce the impact of urban flood disasters on the development of cities all over the world, especially the mountain cities.The high-precision remote sensing images are used to extract land use types in the main urban area of Guiyang city of Guizhou province.The spatial distribution characteristics of waterlogging risk in the study area are calculated by combining meteorological, population, GDP and topographic data with positive and negative indexes and analytic hierarchy process.The results show that the risk areas above intermediate level account for 52.09%,mainly distributed in the central and northern parts of the study area.The risk areas above intermediate level account for a large proportion in individual administrative regions, up to 90.90%.The level of waterlogging risk is closely related to regional economic development, precipitation, topography and population, and is highly correlated with typical karst landforms.The results can enrich the research contents of relevant discriplines, and provide reference for local urban waterlogging disaster prevention and spatial management.
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