Constructing the CityGML ADE for the Multi-Source Data
Integration of Urban Flooding

J 2020

Constructing the CityGML ADE for the Multi-Source Data Integration of Urban Flooding

SHEN, Jie; Jingyi ZHOU; Jiemin ZHOU; Lukáš HERMAN; Tomáš ŘEZNÍK et. al.

Základní údaje

Originální název

Constructing the CityGML ADE for the Multi-Source Data Integration of Urban Flooding

Autoři

SHEN, Jie (156 Čína); Jingyi ZHOU (156 Čína); Jiemin ZHOU (156 Čína); Lukáš HERMAN (203 Česká republika, garant, domácí) a Tomáš ŘEZNÍK (203 Česká republika, domácí)

Vydání

ISPRS International Journal of Geo-Information, Basel, MDPI, 2020, 2220-9964

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10508 Physical geography

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

on-line verze článku

Impakt faktor

Impact factor: 2.899

Kód RIV

RIV/00216224:14310/20:00115708

Organizační jednotka

Přírodovědecká fakulta

DOI

https://doi.org/10.3390/ijgi9060359

UT WoS

000551057100001

EID Scopus

2-s2.0-85085647101

Klíčová slova anglicky

CityGML application domain extension; waterlogging; data integration; 3D dynamic visualization

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 21. 10. 2020 16:27, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

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.

Návaznosti

LTACH17002, projekt VaV

Název: Dynamické mapovací metody orientované na řízení rizik a katastrof v éře velkých dat

Citovat

SHEN, Jie; Jingyi ZHOU; Jiemin ZHOU; Lukáš HERMAN a Tomáš ŘEZNÍK. Constructing the CityGML ADE for the Multi-Source Data Integration of Urban Flooding. ISPRS International Journal of Geo-Information. Basel: MDPI, 2020, roč. 9, č. 6, s. 1-27. ISSN 2220-9964. Dostupné z: https://doi.org/10.3390/ijgi9060359.

@article{1658896,
   author = {Shen, Jie and Zhou, Jingyi and Zhou, Jiemin and Herman, Lukáš and Řezník, Tomáš},
   article_location = {Basel},
   article_number = {6},
   doi = {https://doi.org/10.3390/ijgi9060359},
   keywords = {CityGML application domain extension; waterlogging; data integration; 3D dynamic visualization},
   language = {eng},
   issn = {2220-9964},
   journal = {ISPRS International Journal of Geo-Information},
   title = {Constructing the CityGML ADE for the Multi-Source Data Integration of Urban Flooding},
   url = {https://www.mdpi.com/2220-9964/9/6/359},
   volume = {9},
   year = {2020}
}

TY  - JOUR
ID  - 1658896
AU  - Shen, Jie - Zhou, Jingyi - Zhou, Jiemin - Herman, Lukáš - Řezník, Tomáš
PY  - 2020
TI  - Constructing the CityGML ADE for the Multi-Source Data Integration of Urban Flooding
JF  - ISPRS International Journal of Geo-Information
VL  - 9
IS  - 6
SP  - 1-27
EP  - 1-27
PB  - MDPI
SN  - 22209964
KW  - CityGML application domain extension
KW  - waterlogging
KW  - data integration
KW  - 3D dynamic visualization
UR  - https://www.mdpi.com/2220-9964/9/6/359
L2  - https://www.mdpi.com/2220-9964/9/6/359
N2  - 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.
ER  -

SHEN, Jie; Jingyi ZHOU; Jiemin ZHOU; Lukáš HERMAN a Tomáš ŘEZNÍK. Constructing the CityGML ADE for the Multi-Source Data Integration of Urban Flooding. \textit{ISPRS International Journal of Geo-Information}. Basel: MDPI, 2020, roč.~9, č.~6, s.~1-27. ISSN~2220-9964. Dostupné z: https://doi.org/10.3390/ijgi9060359.

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