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Adeyeye, K and Emmitt, S (2017) Multi-scale, integrated strategies for urban flood resilience. International Journal of Disaster Resilience in the Built Environment, 8(05), 494-520.
Durage, S W, Wirasinghe, S C and Ruwanpura, J Y (2017) Tornado mitigation network analysis and simulation. International Journal of Disaster Resilience in the Built Environment, 8(05), 478-93.
Ganguly, K K, Padhy, R K and Rai, S S (2017) Managing the humanitarian supply chain: a fuzzy logic approach. International Journal of Disaster Resilience in the Built Environment, 8(05), 521-36.
Ismail, F Z, Halog, A and Smith, C (2017) How sustainable is disaster resilience? An overview of sustainable construction approach in post-disaster housing reconstruction. International Journal of Disaster Resilience in the Built Environment, 8(05), 555-72.
Kimura, N, Tai, A and Hashimoto, A (2017) Flood caused by driftwood accumulation at a bridge. International Journal of Disaster Resilience in the Built Environment, 8(05), 466-77.
- Type: Journal Article
- Keywords: flooding; accumulation; smoothed particle hydrodynamics; bridge; driftwood; high flow
- ISBN/ISSN:
- URL: https://doi.org/10.1108/IJDRBE-12-2015-0062
- Abstract:
Purpose Extreme weather events introduced by climate change have been frequent across the world for the past decade. For example, Takeda City, a mountainous area in the south-western Japan, experienced a severe river flood event caused by the factors of high flow, presence of bridges and driftwood accumulation in July 2012. This study aims to focus on this event (hereafter, Takeda flood) because the unique factors of driftwood and bridges were involved. In the Takeda flood, high flow, driftwood and bridge were the potential key factors that caused the flood. The authors studied to reveal the physical processes of the Takeda flood. Design/methodology/approach The authors conducted a fundamental laboratory experiment with a miniature bridge, open channel flow and idealized driftwood accumulation. They also performed a numerical simulation by using a smoothed particle hydrodynamics (SPH) method, which can treat fluid as particle elements. This model was chosen because the SPH method is capable of treating a complex flow such as a spray of water around a bridge. Findings The numerical simulation successfully reproduced the bridge- and driftwood-induced floods of the laboratory experiment. Then, the contribution of the studied key factors to the flood mechanism based on the fluid forces generated by high flow, bridge and driftwood (i.e. pressure distributions) was quantitatively assessed. The results showed that the driftwood accumulation and high flow conditions are potentially important factors that can cause a severe flood like the Takeda flood. Originality/value Simulated results with high flow conditions may be helpful to consider the countermeasure for future floods under climate change even though the test was simple and fundamental.
Low, S P, Gao, S and Wong, G Q E (2017) Resilience of hospital facilities in Singapore’s healthcare industry: a pilot study. International Journal of Disaster Resilience in the Built Environment, 8(05), 537-54.
Oloo, J O and Omondi, P (2017) Strengthening local institutions as avenues for climate change resilience. International Journal of Disaster Resilience in the Built Environment, 8(05), 573-88.