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Sustainability 2017, 9(1), 109; doi:10.3390/su9010109

Mapping Social Vulnerability to Air Pollution: A Case Study of the Yangtze River Delta Region, China

State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210093, China
School of Government, Center for Risk, Disaster & Crisis Research, Nanjing University, Nanjing 210093, China
School of Transportation, Southeast University, Nanjing 210018, China
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Science, Beijing 100081, China
School of Chemistry and Life Science, Jinling College, Nanjing University, Nanjing 210093, China
Authors to whom correspondence should be addressed.
Academic Editor: Vincenzo Torretta
Received: 5 December 2016 / Revised: 31 December 2016 / Accepted: 10 January 2017 / Published: 13 January 2017
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Many frequent and severe air pollution incidents have emerged across the vast parts of China recently. The identification of factors and mapping social vulnerability has become extremely necessary for environmental management and sustainable development. However, studies associating social vulnerability with air pollution remain sparse. With reference to research achievements of social vulnerability, this study made a new trial regarding social vulnerability assessment to air pollution. With the projection pursuit cluster (PPC) model, the top three factors contributing to social vulnerability index (SVI) were discovered and SVI and SVI dimensions (susceptibility, exposure, and adaptability) were evaluated. Results revealed that adaptability values are higher than susceptibility and exposure values. SVI is in a poor condition as, for the whole region, most values belong to the high-medium level. High SVI values mainly appear in the northern and the southern ends of study area. SVI in Shanghai is lower than in Jiangsu and Zhejiang provinces. On the scale of prefecture-level city, it can be found that the low-value centers of SVI always occurred in urban core areas. The spatial variation and inequality in social vulnerability provide policy-makers a scientific basis for air pollution prevention and sustainable management. View Full-Text
Keywords: social vulnerability index (SVI); air pollution; projection pursuit cluster model; Yangtze River Delta social vulnerability index (SVI); air pollution; projection pursuit cluster model; Yangtze River Delta

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Ge, Y.; Zhang, H.; Dou, W.; Chen, W.; Liu, N.; Wang, Y.; Shi, Y.; Rao, W. Mapping Social Vulnerability to Air Pollution: A Case Study of the Yangtze River Delta Region, China. Sustainability 2017, 9, 109.

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