水资源保护2024，Vol.40Issue(2)：35-45,11.DOI:10.3880/j.issn.1004-6933.2024.02.006
高度城镇化背景下深圳市易涝点驱动因子分析
Analysis of driving factors for waterlogging points in Shenzhen City under high urbanization background
摘要
Abstract
Based on the statistical data of waterlogging points in Shenzhen City from 2018 to 2022,the spatiotemporal distribution characteristics of waterlogging points in Shenzhen City were analyzed using methods such as standard deviation ellipse,spatial autocorrelation,and kernel density estimation.Using the optimized hotspot analysis and kernel density estimation to obtain the susceptibility to waterlogging as the dependent variable,respectively,the optimal parameter geographic detector was used to discretize the continuous driving factors and explore the main driving factors and the mechanisms of spatial distribution differences in waterlogging points.The results show that there are significant differences in the spatial distribution of waterlogging points in Shenzhen City,with weakened directionality and obvious clustering characteristics.The population economic driving factors have the strongest explanatory power for the spatial distribution of waterlogging points,followed by the climate characteristics.The synergistic effect of rainstorm days and population driving factors can explain 59.50%of the distribution of waterlogging points.The susceptibility obtained from kernel density estimation has better representativeness,and the optimal discretization of continuous factors can significantly improve their explanatory power.关键词
城市内涝/易涝点/优化热点分析/核密度估计/参数最优地理探测器/深圳市Key words
urban waterlogging/waterlogging points/optimized hot spot analysis/kernel density estimation/optimal parameter-based geographical detector/Shenzhen City分类
建筑与水利引用本文复制引用
张晨钰,王伟,黄莉,张攀,赖成光..高度城镇化背景下深圳市易涝点驱动因子分析[J].水资源保护,2024,40(2):35-45,11.基金项目
国家重点研发计划项目(2021YFC3001002) （2021YFC3001002）
国家自然科学基金面上项目(71974052) （71974052）
中央高校基本科研业务费专项资金资助项目(B210205012) （B210205012）
