Development of an Inundation Model for Creating Industrial Park-Scale Risk Information for Area-BCM
Daiki Kakinuma*,, Mamoru Miyamoto*, Yosuke Nakamura**, Anurak Sriariyawat***, and Supattra Visessri***
*International Centre for Water Hazard and Risk Management under the auspices of UNESCO (ICHARM), Public Works Research Institute (PWRI)
1-6 Minamihara, Tsukuba, Ibaraki 305-8516, Japan
**Mitsui Consultants Co., Ltd., Tokyo, Japan
***Department of Water Resource Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand
The 2011 flood on the Chao Phraya River in Thailand caused enormous damage. The damage was greatest to the industrial sector, accounting for more than 70% of the estimated economic damage, and the resulting disruption of the supply chains of global companies has spread not only throughout Thailand but to other countries around the world. In order to reduce such damage, it is necessary to prepare a flood manual that makes use of past flood experiences or a business continuity planning (BCP) that assumes floods. In addition, business continuity management (BCM) is needed to establish and enhance BCP. Thus, it is essential to obtain flood information on the scale of an industrial park. Therefore, in this study, to provide detailed flood information as above, in addition to a flood inundation analysis model for the Chao Phraya River Basin, a detailed model on the scale of an industrial park was developed. Specifically, we developed a 40 m mesh industrial park-scale model based on survey data using a local aerial laser and the local river channel shape. Furthermore, using the flood discharge and river discharge output obtained from a 1 km mesh model of the Chao Phraya River Basin as inputs for the industrial park scale model for the surrounding boundary conditions, we obtained a more precise inundation analysis. As a result, the flood risk information obtained from the above analysis model can be useful for BCP/BCM. In addition, detailed flood risk information such as road inundation conditions can be obtained at any location, which could be useful in creating evacuation plans for employees.
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