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Open AccessArticle

Impact Assessment of Urban Flood on Traffic Disruption using Rainfall–Depth–Vehicle Speed Relationship

Department of Urban and Environmental and Disaster Management, Graduate School of Disaster Prevention, Kangwon National University, Kangwon-do 25913, Korea
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Water 2020, 12(4), 926; https://doi.org/10.3390/w12040926 (registering DOI)
Received: 11 February 2020 / Revised: 20 March 2020 / Accepted: 23 March 2020 / Published: 25 March 2020
(This article belongs to the Special Issue Urban Water Management and Urban Flooding)
The transportation network enables movement of people and goods and is the basis of economic activity. Recently, short-term locally heavy rains occur frequently in urban areas, causing serious obstacles to road flooding and increasing economic and social effects. Therefore, in advanced weather countries, many studies have been conducted on realistic and reliable impact forecasting by analyzing socioeconomic impacts, not just information transmission as weather forecasts. In this paper, we use the Spatial Runoff Assessment Tool (S-RAT) and Flood Inundation model (FLO-2D model) to calculate the flooding level in urban areas caused by rainfall and use the flooding rate. In addition, the rainfall–flood depth curve and the Flood–Vehicle Speed curve were presented during the analysis, and the traffic disruption map was prepared using this. The results of this study were compared with previous studies and verified by rainfall events in 2011. As a result of the verification, the result was similar to the actual flooding, and when the same rainfall occurred within the range of the target area, it was confirmed that there were sections that could not be passed and sections that could be passed smoothly. Therefore, the results suggested in this study will be helpful for the driver’s route selection by using the urban flood damage analysis and vehicle driving speed analysis.
Keywords: urban flood; rainfall (mm)–depth (m)–vehicle speed (km/h) relationship; vehicle speed reduction; traffic disruption; impact forecasting urban flood; rainfall (mm)–depth (m)–vehicle speed (km/h) relationship; vehicle speed reduction; traffic disruption; impact forecasting
MDPI and ACS Style

Choo, K.-S.; Kang, D.-H.; Kim, B.-S. Impact Assessment of Urban Flood on Traffic Disruption using Rainfall–Depth–Vehicle Speed Relationship. Water 2020, 12, 926.

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