摘要
在全球气候变化与城市化进程加快的背景下,极端天气的产生导致城市洪涝灾害频发,成为威胁公众生命财产安全的主要自然灾害。因此,提高城市面对暴雨洪涝的能力,是城市化进程中面临的主要任务。本文以云南省昆明市主城五区为研究区域,通过洪涝灾害韧性GIS空间量化评价,对洪灾易发点、避难场所点,以及最短逃生路径、卫生医疗设施距离等进行相关分析,研究洪灾应急规划有效方法,并通过增强城市洪灾韧性,提高昆明市对洪灾的预防能力。研究结果表明,昆明市目前仍存在一定的洪涝灾害隐患,近几年随着城市规划的不断更新,昆明市主城区排水设施对于极端暴雨已经具备一定的抵抗力,但仍有提升空间。
In the context of global climate change and accelerated urbanization,the occurrence of extreme weather leads to frequent urban floods and becomes a major natural disaster threatening public life and property.Therefore,improving the ability of cities to face storm floods is the main task in the process of urbanization.This paper takes the five districts in the main city of Kunming Yunnan province as the research area,through the relevant analysis of flood-prone points and refuge sites,based on the relevant analysis of the shortest escape path planning,health,and medical facilities distance and other factors,studies the effective flood emergency planning method,and improves the flood prevention capacity of Kunming by enhancing the resilience of urban flood.The research results show that there are still some hidden dangers of flood and waterlogging in Kunming.In recent years,with the continuous updating of urban planning,the drainage system of the main urban area of Kunming has a certain resistance to extreme rainstorms,but there is still room for improvement.
作者
姜沣珊
傅星峰
赵雷
解智强
王占辉
JIANG Fengshan;FU Xingfeng;ZHAO Lei;XIE Zhiqiang;WANG Zhanhui(Yunnan University,School of Earth Sciences,Kunming 650500,China;Kunming Surveying and Mapping Management Center,Kunming 650506,China;Institute of International Rivers and Eco-security,Yunnan University,Kunming 650500,China;Guangzhou Southern Surveying and Mapping Technology Co.,Ltd.,Guangzhou 510663,China)
出处
《测绘通报》
CSCD
北大核心
2024年第1期169-174,共6页
Bulletin of Surveying and Mapping
基金
国家自然科学基金(72361035)
长江水利委员会长江科学院开放研究基金(CKWV20221029/KY)
云南省产教融合研究生联合培养基地建设项目
云南省教育厅科学研究基金(2023Y0185)
云南省住房和城乡建设厅科技计划(K00000135)
云南大学2023年研究生课程思政示范课程项目(KCSZ202301
KCSZ202316)。
关键词
洪灾预防
洪涝抵抗力
应急规划
GIS量化表达
flood prevention
flood resistance
emergency planning
GIS quantitative expression