人民长江2024，Vol.55Issue(5)：23-32,10.DOI:10.16232/j.cnki.1001-4179.2024.05.004
城市建筑小区内涝风险快速识别与驱动因素分析
Rapid identification and driving factor analysis of waterlogging risk in urban building communities
摘要
Abstract
Rapid identification and driving factor analysis of urban waterlogging risk have been the primary requirements to im-plement urban waterlogging management.However,the traditional urban drainage modelling method requires high-resolution bas-ic data support and a large modeling cost,which is difficult to meet the demand of urban waterlogging rapid identification.Based on the actual urban waterlogging disaster data of building communities in Luzhou City from 2015 to 2022,the spatial distribution of waterlogging risk in building communities was rapidly identified using kernel density estimation and spatial correlation analysis.Spearman correlation analysis and geodetector approach were used to investigate the waterlogging risk driving factors.The results show that the waterlogging risk of building communities in Luzhou City tends to decrease gradually from the center to the perime-ter,and the high-risk areas are mainly located in the Chengbei region,Zhongxinbandao region and Longmatan region.The prima-ry driving factors of the waterlogging risk are soil texture,land use,social factors,and rainfall factors,and they exhibit complex forms of multifactorial synergies.The results can provide a basis for high-resolution modeling of the waterlogging risk in Luzhou City,and the methods can also provide methodological support for a rapid identification of the waterlogging risk and preliminary a-nalysis on factors contributing to waterlogging in urban building communities in hilly cities of southwest China.关键词
建筑小区/城市内涝风险/快速识别/驱动因素/核密度估计/空间相关性分析/Spearman相关分析/地理探测器/丘陵城市Key words
building community/urban waterlogging risk/rapid identification/driving factor/kernel density estimation/spa-tial correlation analysis/spearman correlation analysis/geodetector approach/hilly city分类
建筑与水利引用本文复制引用
王璇,张伟,刘方华,孔烨,孙慧超..城市建筑小区内涝风险快速识别与驱动因素分析[J].人民长江,2024,55(5):23-32,10.基金项目
国家重点研发计划项目(2021YFC3001400) （2021YFC3001400）
泸州市海绵城市科研课题研究项目(N5105012022000106) （N5105012022000106）
北京市属高等学校高水平科研创新团队建设支持计划项目(BPHR20220108) （BPHR20220108）
北京建筑大学培育项目专项资金资助项目(X23047) （X23047）
