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Integrations of an Early Warning System and Business Continuity Plan for Disaster Management in a Science Park

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Advances in Hydroinformatics

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Abstract

Extreme weather events such as typhoons and torrential rain can cause loss of life, damage of property and business. Recent research and events showed that flood damage to industrial areas not only cause damage to high-tech instruments and products but also lead to the supply chain disruption. The later one has a significant impact on the global market. Therefore, this study proposes a system that integrates weather and flood forecasts with a concept of business continuity plan (BCP) to minimize the disruption of business operation due to floods. BCP consists of a series of actions of preparedness, information analysis, response, recovery and maintenance, providing constructive suggestions to decision-makers. Given information from a purpose-driven design flood routing model and the BCP, the decision makers can react to the disaster accordingly. This study selected a science park in central Taiwan as the study area. A custom-made BCP and associated decision support system (DSS) were established for analyzing information and retrieving relevant suggestions of actions based on the factories within the science park. The administration office of the park along with the factories conducted several flood drills and the results showed that the system improves the emergency preparedness and responses. The science park can strengthen their resilience to disasters through the system. The system and concept can be easily adopted and applied to other industrial parks because of its effectiveness and performance.

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Acknowledgements

The research was part of plan (grant no. 106f600441) funded by Central Taiwan Science Park, Taiwan. This research is done in collaboration of Huwei Science Park, Central Taiwan Science Park, SGS in Taiwan, Taiwan Secom Company Limited, National Center for High-Performance Computing, Taiwan Typhoon and Flood Research Institute and National Chiao Tung University. We would like to express our gratitude to their support.

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Correspondence to Tsun-Hua Yang .

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Yang, TH., Hsu, HM., Kao, HM. (2020). Integrations of an Early Warning System and Business Continuity Plan for Disaster Management in a Science Park. In: Gourbesville, P., Caignaert, G. (eds) Advances in Hydroinformatics. Springer Water. Springer, Singapore. https://doi.org/10.1007/978-981-15-5436-0_14

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