low-elevation coastal zone multi-hazards exposure index population
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.
Details
Title
Multi-Hazard Population Exposure in Low-Elevation Coastal Zones of China from 1990 to 2020
Authors
Siqi Feng (Author) - Shanghai Normal University
Kexin Yang (Author) - Shanghai Normal University
Jianli Liu (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
Yvlu Yang (Author) - Shanghai Normal University
Luna Zhao (Author) - Shanghai Normal University
Jiahong Wen (Author) - Shanghai Normal University
Chengcheng Wan (Corresponding Author) - Shanghai Normal University
Lijun Yan (Corresponding Author) - Shanghai Normal University
Publication details
Sustainability, Vol.15(17), pp.1-18
Publisher
MDPI AG
Date published
2023
DOI
10.3390/su151712813
ISSN
2071-1050
Copyright note
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Grant note
KLLSMP20230X / Ministry of Natural Resources
42171080, 42105125 / National Natural Science Foundation of China
Organisation Unit
University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Centre for Bioinnovation