Abstract
Urban flooding, as one of the most serious natural disasters, has caused considerable personal injury and property damage throughout the world. To better cope with the problem of waterlogging, the experts have developed many waterlogging models that can accurately simulate the process of pipe network drainage and water accumulation. The study of urban waterlogging involves many data types. These data come from the departments of hydrology, meteorology, planning, surveying, and mapping, etc. The incoordination of space–time scale and format standard has brought huge obstacles to the study of urban waterlogging. This is not conducive to interpretation, transmission, and visualization in today’s network environment. In this paper, the entities and attributes related to waterlogging are defined. Based on the five modules of urban drainage network, sub basin, dynamic water body, time series, and meteorological data, the corresponding UML (Unified Modeling Language) model is designed and constructed. On this basis, the urban waterlogging application domain extension model city waterlogging application domain extension (CTWLADE) is established. According to the characteristics of different types of data, two different methods based on FME object and citygml4j are proposed to realize the corresponding data integration, and KML (Keyhole Markup Language) /glTF data organization form and the corresponding sharing method are proposed to solve the problem that the CTWLADE model data cannot be visualized directly on the web and cannot interact in three-dimensional format. To evaluate the CTWLADE, a prototype system was implemented, which can convert waterlogging-related multi-source data in extensible markup language (XML) files conform. The current CTWLADE can map the data required and provided by the hydraulic software tool storm water management model (SWMM) and is ready to be integrated into a Web 3D Service to provide the data for 3D dynamic visualization in interactive scenes.
Highlights
Urban flooding refers to the phenomenon of water accumulation in cities due to heavy precipitation or continuous precipitation exceeding urban drainage capacity [1]
ArcHydro [14], developed jointly by ESRI and CRWR, can provide a complex data model trying to consider the whole hydrologic system, but it is not based on XML or GML, nor is freely available; The ODM [15] is a relational database model of a general structure proposed by HIS of CUAHSI (The Consortium of Universities for the Advancement of Hydrologic Science, Inc.) in the United States
Under the two requirements of data publishing and visualization, this paper proposes KML/glTF data organization form and corresponding sharing method to solve the problem that city waterlogging application domain extension (CTWLADE) model data cannot be visualized directly on the web side and cannot interact with each other in three-dimensional format
Summary
Urban flooding refers to the phenomenon of water accumulation in cities due to heavy precipitation or continuous precipitation exceeding urban drainage capacity [1]. ArcHydro [14], developed jointly by ESRI and CRWR, can provide a complex data model trying to consider the whole hydrologic system, but it is not based on XML (extensible markup language) or GML (geography markup language), nor is freely available; The ODM [15] (observations data model) is a relational database model of a general structure proposed by HIS (hydrologic information system) of CUAHSI (The Consortium of Universities for the Advancement of Hydrologic Science, Inc.) in the United States It needs to observe the database structure in a unified format; WaterML [16] is an OGC (open geospatial consortium) standard for the representation of water observations data, but cannot provide the waterlogging model with input data such as underlying surface type, drainage network, etc., and does not meet the requirements of online 3D visualization. The relevant functions of the prototype system are tested by using the data in the experimental area to verify the effectiveness and practicability of CTWLADE in the field of urban waterlogging
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
