Study on multi-source data integrating standard and 3D cartographic visualization of urban flooding based on CityGML

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F19%3A00110537" target="_blank" >RIV/00216224:14310/19:00110537 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.abstr-int-cartogr-assoc.net/1/435/2019/" target="_blank" >https://www.abstr-int-cartogr-assoc.net/1/435/2019/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/ica-abs-1-435-2019" target="_blank" >10.5194/ica-abs-1-435-2019</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Study on multi-source data integrating standard and 3D cartographic visualization of urban flooding based on CityGML

Popis výsledku v původním jazyce

Urban flooding refers to the phenomenon of water accumulation in cities due to strong precipitation or continuous precipitation exceeding urban drainage capacity. At present, the problem of urban flooding has become another major urban disease after other urban problems such as crowded people, traffic congestion and environmental pollution (Weiwu W, et al. 2015). In order to better cope with the problem of waterlogging, there are many hydrodynamic models that can accurately simulate the process of pipe network drainage and water accumulation. However, there are currently two limitations that limit the practicality of these hydrodynamic models. First, these models often require a large amount of input data as a support. These data exhibit multi-source, heterogeneity, multi-scale, multi-resolution and other characteristics, which bring great difficulty to data acquisition and processing (Dongdong Z, et al. 2014). Second, the analysis results of the model contain a large amount of waterlogging related information. However, this information is usually represented by simple texts and tables, which is not conducive to interpretation, transmission and visualization. Especially for location-related information, such as flooding points, flow information of various parts of the drainage pipe, water depth in the flooded area, etc., non-interactive two-dimensional maps or tables can cause inconvenience to disaster management and decision-making.

Název v anglickém jazyce

Study on multi-source data integrating standard and 3D cartographic visualization of urban flooding based on CityGML

Popis výsledku anglicky

Urban flooding refers to the phenomenon of water accumulation in cities due to strong precipitation or continuous precipitation exceeding urban drainage capacity. At present, the problem of urban flooding has become another major urban disease after other urban problems such as crowded people, traffic congestion and environmental pollution (Weiwu W, et al. 2015). In order to better cope with the problem of waterlogging, there are many hydrodynamic models that can accurately simulate the process of pipe network drainage and water accumulation. However, there are currently two limitations that limit the practicality of these hydrodynamic models. First, these models often require a large amount of input data as a support. These data exhibit multi-source, heterogeneity, multi-scale, multi-resolution and other characteristics, which bring great difficulty to data acquisition and processing (Dongdong Z, et al. 2014). Second, the analysis results of the model contain a large amount of waterlogging related information. However, this information is usually represented by simple texts and tables, which is not conducive to interpretation, transmission and visualization. Especially for location-related information, such as flooding points, flow information of various parts of the drainage pipe, water depth in the flooded area, etc., non-interactive two-dimensional maps or tables can cause inconvenience to disaster management and decision-making.

Druh

O - Ostatní výsledky

CEP obor

—

OECD FORD obor

10508 - Physical geography

Projekt

<a href="/cs/project/LTACH17002" target="_blank" >LTACH17002: Dynamické mapovací metody orientované na řízení rizik a katastrof v éře velkých dat</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů