Abstract
Short-time heavy rains occurred in Fukuoka City, Japan on June 29, 1999. As a result, the Mikasa and Sanno-Channel rivers overflowed their banks and the flooding water moved down roads to the railway station known as 'Hakata-eki'. This area is a dense city centre with many houses and office buildings. The purpose of the present study is to develop a two-dimensional flood simulation model in dense urban areas. The flood simulation model of Hashimoto et al. (Overland flood flow around the JR Hakata-eki station from the Mikasa and Sanno-Channel river in Fukuoka city on June 29, 1999, J. JSNDS 21-4, pp. 369-384, 2003 (in Japanese)) is introduced. The model considers the effect of the high density of buildings and houses on the flood flow in momentum and continuum equations. The momentum equations include two kinds of resistance terms. One is due to bottom shear stresses and the other due to drag forces on the buildings and houses. The continuum equation includes the area density of buildings and houses as their effect on flood flow. This flood simulation model is applied to the Fukuoka flood disaster in 1999. The behaviour of the flood flow from the rivers is computed for various values of the roughness coefficient for the Manning equation and drag coefficient for buildings and houses. The value of 0.043 is suitable for Manning's roughness coefficient and that of 2.05 for the drag coefficient.
Original language | English |
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Title of host publication | Flood Recovery, Innovation and Response |
Publisher | WITPress |
Pages | 59-67 |
Number of pages | 9 |
Volume | 118 |
ISBN (Print) | 9781845641320 |
DOIs | |
Publication status | Published - Jan 1 2008 |
Event | International Conference on Flood Recovery, Innovation and Response, FRIAR 2008 - London, United Kingdom Duration: Jul 2 2008 → Jul 3 2008 |
Other
Other | International Conference on Flood Recovery, Innovation and Response, FRIAR 2008 |
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Country | United Kingdom |
City | London |
Period | 7/2/08 → 7/3/08 |
All Science Journal Classification (ASJC) codes
- Environmental Science(all)