Publication Date

5-4-2024

Document Type

Student Project

First Advisor

Luo, Wei

Degree Name

B.S. (Bachelor of Science)

Department

Department of Geographic and Atmospheric Sciences

Abstract

From the end of July to the beginning of August 2023, Beijing, China, affected by Typhoon "Dusuri" experienced the most precipitation in the Beijing area in 140 years of instrument measurement records. This event led to the evacuation of more than 1.8 million people across the Beijing-Tianjin-Hebei region and the tragic loss of 62 lives. After experiencing such fierce heavy rainfall and flood disasters, how to predict and prepare for such catastrophic events and avoid losses in the future has become a crucial problem. Geographic information systems (GIS) can integrate different layers of geospatial information and provide us with powerful tools and methods to understand, predict, and better prepare for flood disasters. This study leverages the digital elevation model (DEM) of Beijing and the Height Above Nearest Drainage (HAND) model to create flood risk maps under different flooding scenarios. The HAND model-based flood risk analysis can help governments and decision-makers to better understand the spatial distribution characteristics of floods. In addition, this research also utilized Python and other statistical tools to estimate the discharge of a 100-year flood and assess the impacts of different flood levels and the spatial distribution of population, land price, and land use. These results offer valuable information for the government and decision-makers to direct their flood control resources to the most needed areas and devise effective evacuation plans in advance for future flood disasters.

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