Multi-Hazard Population Exposure in Low-Elevation Coastal Zones of China from 1990 to 2020

• Published in: Sustainability Vol. 15; no. 17; p. 12813
• Main Authors: Feng, Siqi, Yang, Kexin, Liu, Jianli, Yang, Yvlu, Zhao, Luna, Wen, Jiahong, Wan, Chengcheng, Yan, Lijun
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2023
• Subjects: Analysis; China; Climate change; Coasts; Datasets; Disasters; Earthquakes; Economic development; Floods; Land area; Ozone; Sea level; Sustainability; Tidal waves; Tropical cyclones; China
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su151712813

China’s low-elevation coastal zone (LECZ) is characterized by multiple hazards and high impacts. How to quantitatively portray the spatiotemporal characteristics of the exposed population to multi-hazards in the LECZ is an important subject of risk reduction. In this study, the overall characteristics, spatial patterns, and main impact hazard in the LECZ from 1990 to 2020 were investigated using a multi-hazard population exposure model, spatial autocorrelation method, and principal component analysis (PCA) method. The results show that among the four hazards (earthquake, tropical cyclones (TCs), flood, and storm surge), TCs cover the largest area, accounting for 90.1% of the total LECZ area. TCs were also the hazard with the largest average annual growth rate of the exposed population (2.36%). The central region of China’s LECZ is the cluster of exposed populations and the main distribution area with the largest increase in exposed populations. Therefore, the central region is a hotspot for multi-hazard risk management. Additionally, flood contributes the most to the multi-hazard population exposure index; thus, flood is a key hazard of concern in the LECZ. This study identifies the hotspot areas and priority hazards of multi-hazard exposed populations in the LECZ and provides important policy recommendations for multi-hazard risk management in the LECZ, which is important for LECZ to enhance the resilience of hazards.