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Scenario-Based Tsunami Evacuation Analysis: A Case Study of Haimen Town, Taizhou, China

Jing-Ming Hou

National Marine Environmental Forecasting Center, Beijing 100081, P. R. China

Key Laboratory of Research on Marine Hazards Forecasting, State Oceanic Administration, Beijing 100081, P. R. China

College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, P. R. China

E-mail Address: houjingming1982@126.com

Corresponding author.

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Xiao-Juan Li

National Marine Environmental Forecasting Center, Beijing 100081, P. R. China

Key Laboratory of Research on Marine Hazards Forecasting, State Oceanic Administration, Beijing 100081, P. R. China

College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, P. R. China

E-mail Address: xiaojuanli@vip.sina.com

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Ye Yuan

National Marine Environmental Forecasting Center, Beijing 100081, P. R. China

Key Laboratory of Research on Marine Hazards Forecasting, State Oceanic Administration, Beijing 100081, P. R. China

College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, P. R. China

E-mail Address: yuanye@nmefc.gov.in

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Zhi-Yuan Ren

National Marine Environmental Forecasting Center, Beijing 100081, P. R. China

Key Laboratory of Research on Marine Hazards Forecasting, State Oceanic Administration, Beijing 100081, P. R. China

College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, P. R. China

E-mail Address: zhyren@foxmail.com

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Lian-Da Zhao

National Marine Environmental Forecasting Center, Beijing 100081, P. R. China

Key Laboratory of Research on Marine Hazards Forecasting, State Oceanic Administration, Beijing 100081, P. R. China

College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, P. R. China

E-mail Address: zld@nmefc.gov.in

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Zong-Chen Wang

National Marine Environmental Forecasting Center, Beijing 100081, P. R. China

Key Laboratory of Research on Marine Hazards Forecasting, State Oceanic Administration, Beijing 100081, P. R. China

College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, P. R. China

E-mail Address: wangzc@nmefc.gov.in

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, and

Jun-Cheng Wang

National Marine Environmental Forecasting Center, Beijing 100081, P. R. China

Key Laboratory of Research on Marine Hazards Forecasting, State Oceanic Administration, Beijing 100081, P. R. China

College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, P. R. China

E-mail Address: wangjc@nmefc.gov.in

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https://doi.org/10.1142/S1793431117500087Cited by:4 (Source: Crossref)

Abstract

In current tsunami prevention and mitigation, evacuation is the most important method of saving people’s lives. Tsunami evacuation is analyzed for a given travel time and a specific inundation area. Before evacuation analysis, the tsunami inundation and tsunami travel time are first calculated by numerical modeling. This paper analyzes the tsunami evacuation of Haimen Town, Jiaojiang District, Taizhou City, China, under the hypothesis of a magnitude 9.0 earthquake scenario in the Ryukyu Trench. The Cornell multi-grid coupled tsunami (COMCOT) model and Tsunami Travel Time (TTT) model are used to calculate the tsunami inundation and tsunami travel time, respectively. GIS techniques are used to solve the evacuation problem. Both horizontal and vertical evacuations are adopted based on the Chinese community characteristics, disaster prevention facilities, land use, and other practical conditions. A cost raster is used to analyze the arrival cost of each grid in the study area. The location allocation and cost allocation methods are used to solve shelter selection and coverage problems, respectively. The network analyst is applied to provide evacuation routes for each community. The evacuation analysis results can provide a scientific reference for the development of tsunami evacuation plans.

Keywords:

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