Spatially Explicit Assessment of Social Vulnerability in Coastal China

被引:12
|
作者
Yang, Xuchao [1 ]
Lin, Lin [1 ]
Zhang, Yizhe [2 ]
Ye, Tingting [1 ]
Chen, Qian [1 ]
Jin, Cheng [1 ]
Ye, Guanqiong [1 ]
机构
[1] Zhejiang Univ, Ocean Coll, Zhoushan 316021, Peoples R China
[2] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
social vulnerability; coastal China; exposure; resilience; SEA-LEVEL RISE; CLIMATE-CHANGE; ADAPTIVE CAPACITY; NATURAL HAZARDS; RESILIENCE; ADAPTATION; INDICATORS; FRAMEWORK; AUTOCORRELATION; GEOGRAPHIES;
D O I
10.3390/su11185075
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Social vulnerability assessment has been recognized as a reliable and effective measure for informing coastal hazard management. Although significant advances have been made in the study of social vulnerability for over two decades, China's social vulnerability profiles are mainly based on administrative unit. Consequently, no detailed distribution is provided, and the capability to diagnose human risks is hindered. In this study, we established a social vulnerability index (SoVI) in 2000 and 2010 at a spatial resolution of 250 m for China's coastal zone by combining the potential exposure index (PEI) and social resilience index (SRI). The PEI with a 250 m resolution was obtained by fitting the census data and multisource remote sensing data in random forest model. The county-level SRI was evaluated through principal component analysis based on 33 socioeconomic variables. For identifying the spatiotemporal change, we used global and local Moran's I to map clusters of SoVI and its percent change in the decade. The results suggest the following: (1) Counties in the Yangtze River Delta, Pearl River Delta, and eastern Guangzhou, except several small hot spots, exhibited the most vulnerability, especially in urban areas, whereas those in Hainan and southern Liaoning presented the least vulnerability. (2) Notable increases were emphasized in Tianjin, Yangtze River Delta, and Pearl River Delta. The spatiotemporal variation and heterogeneity in social vulnerability obtained through this analysis will provide a scientific basis to decision-makers to focus risk mitigation effort.
引用
收藏
页数:20
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