http://scholars.ntou.edu.tw/handle/123456789/21048
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Su, Yuan-Fong | en_US |
dc.contributor.author | Lin, Yan-Ting | en_US |
dc.contributor.author | Jang, Jiun-Huei | en_US |
dc.contributor.author | Han, Jen-Yu | en_US |
dc.date.accessioned | 2022-03-07T02:16:55Z | - |
dc.date.available | 2022-03-07T02:16:55Z | - |
dc.date.issued | 2022-01-21 | - |
dc.identifier.uri | http://scholars.ntou.edu.tw/handle/123456789/21048 | - |
dc.description.abstract | High-resolution flood simulation considering the influence of high buildings and fundamental facilities is important for flood risk assessment in urban areas. However, it is also a challenging task due to the difficulties in acquiring detailed topography and monitoring data for model construction and validation. In this study, a high-resolution flood simulation with a grid size of 0.5 m is realized through the use of detailed topography obtained by an unmanned aerial vehicle and real-time flood information acquired from social media. To discover the influence of terrain resolution on flood simulations, the high-resolution simulation results are compared with those with coarser grid resolutions (5, 10, and 20 m) for a flash flood event in Taiwan. In the case with higher grid resolution, the simulation results are in better agreement with the photos from social media in terms of flood extent, depth, and occurrence time. The flood simulation with coarse resolution (>5 m) tends to overestimate the flood duration on roads and provide bias information to decision-makers in the assessment of traffic impact and economic loss. | en_US |
dc.language.iso | English | en_US |
dc.publisher | FRONTIERS MEDIA SA | en_US |
dc.relation.ispartof | FRONTIERS IN EARTH SCIENCE | en_US |
dc.subject | urban flooding | en_US |
dc.subject | unmanned aerial vehicle | en_US |
dc.subject | volunteered geographic information | en_US |
dc.subject | computational flood simulation | en_US |
dc.subject | social media | en_US |
dc.title | High-Resolution Flood Simulation in Urban Areas Through the Application of Remote Sensing and Crowdsourcing Technologies | en_US |
dc.type | journal article | en_US |
dc.identifier.doi | 10.3389/feart.2021.756198 | - |
dc.identifier.isi | WOS:000751282100001 | - |
dc.relation.journalvolume | 9 | en_US |
item.grantfulltext | none | - |
item.fulltext | no fulltext | - |
item.languageiso639-1 | English | - |
item.openairetype | journal article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Department of Harbor and River Engineering | - |
crisitem.author.dept | College of Engineering | - |
crisitem.author.dept | National Taiwan Ocean University,NTOU | - |
crisitem.author.parentorg | College of Engineering | - |
crisitem.author.parentorg | National Taiwan Ocean University,NTOU | - |
顯示於: | 河海工程學系 |
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