摘要
随着城市化进程的不断加快及暴雨等极端天气的时有发生,道路积水问题愈发严重,影响了市民的出行和城市正常运行,因此有必要对道路积水信息进行动态可视化,而数据的集成与管理是从多源数据到道路积水信息的关键一环。为了更加直接有效地表达道路积水信息,提出了面向城市内涝动态预警可视化的多源时空数据集成与管理方法,构建了道路积水时空数据模型,探讨了积水数据与道路数据的匹配方法,并设计了面向道路积水动态预警的原型系统,实现了道路积水深度的提取与发布。以南京市主城区某区域对该方法进行了实验案例分析,实验结果表明,提出的数据集成与管理方法在进行道路积水可视化时具有一定的可行性。
Objectives:With the acceleration of urbanization,problems caused by extreme weather such as heavy rain have become increasingly obvious.As one of the most common meteorological disasters,urban floods have become one of the urban diseases in today’s big cities.Therefore,it is necessary to explore the methods and technologies of multi-source spatiotemporal data integration to achieve dynamic road waterlogging visualization.Methods:Firstly,we designed a spatiotemporal data model of road waterlogging and stored the data in the form of database tables to describe the evolution process of road waterlogging in both time and space.Secondly,a matching method for waterlogging data and road data was put forward to obtain road waterlogging depth.Thirdly,we designed a prototype system for dynamic road waterlogging warnings and achieved the extraction and release of road waterlogging depth.Finally,an experiment was carried out in downtown Nanjing City to verify the availability of the proposed method.Results:The results show that the proposed data integration method can meet the multi-scale needs of dynamic road waterlogging visualization.We integrate multi-source spatiotemporal data from the perspective of dynamic road waterlogging visualization to solve the problem of transferring multi-source data into road waterlogging depth.Conclusions:In further studies,real-time traffic will be considered to comprehensively express the road condition and waterlogging condition.
作者
史潇
徐家鹏
杜毅贤
沈婕
臧垲岳
SHI Xiao;XU Jiapeng;DU Yixian;SHEN Jie;ZANG Kaiyue(Key Laboratory of Transportation Meteorology,China Meteorological Administration,Nanjing 210008,China;Jiangsu Meteorological Service Center,Jiangsu Meteorological Bureau,Nanjing 210008,China;Key Laboratory of Virtual Geographic Environment,Ministry of Education,Nanjing Normal University,Nanjing 210023,China;School of Geography,Nanjing Normal University,Nanjing 210023,China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China)
出处
《武汉大学学报（信息科学版）》
EI
CAS
CSCD
北大核心
2022年第5期693-699,共7页
Geomatics and Information Science of Wuhan University
基金
国家重点研发计划(2016YFE0131600)
国家自然科学基金(41871371)
淮河流域气象开放研究基金(HRM201806)。
关键词
道路积水
动态可视化
多源时空数据
集成与管理
预警
road waterlogging
dynamic visualization
multi-source spatiotemporal data
integration and management
warning
