4.7 Article

APEC blue-The effects and implications of joint pollution prevention and control program

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 553, Issue -, Pages 429-438

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.scitotenv.2016.02.122

Keywords

APEC blue; Joint prevention and control; Correlation analysis; Cluster analysis; Collaborative pollution reduction

Funding

  1. National Natural Science Foundation of China [71373155]
  2. Chinese Ministry of Education Project on the Key Projects of Philosophy and Social Sciences [13JZD025]
  3. Social Development of Metropolis and Construction of Smart City program [085SHDX001]

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To ensure good air quality in Beijing during Asia-Pacific Economic Cooperation (APEC) China 2014, Beijing and its neighboring five provinces and the associated cities were combined under the Joint Prevention and Control of Atmospheric Pollution (JPCAP) program, which implemented rigorous cooperative emission reduction measures. The program was a unique and large-scale artificial experiment that showed that such measures can achieve excellent results, and it led to the popular APEC blue catchphrase (i.e., Beijing's skies became blue as pollution levels decreased). This artificial experiment provided the means to effectively conduct JPCAP strategies in the future. Accordingly, our research focused on the characteristics of the six primary pollutants in Beijing. We found that the JPCAP measures directly reduced concentrations of all pollutants except O-3. Through correlation analysis, we found that the band distribution of the cities with strong correlations in PM2.5 and PM10 concentrations was affected by wind conditions. Therefore, JPCAP measures should account for specific seasonal and climatic conditions. Based on cluster analysis using the results from the correlation analysis, we divided 13 cities within a 300 km radius of Beijing into different groups according to the similarity of their PM2.5 and PM10 correlation coefficients. For JPCAP measures relevant to PM2.5 and PM10, we found differences in the degrees of collaboration among cities. Therefore, depending upon the pollutant type, the JPCAP strategy should account for the cities involved, the scope of the core area, and the optimal cities to involve in the collaborative efforts based on cost-effectiveness and collaborative difficulty among the involved cities. (C) 2016 Elsevier B.V. All rights reserved.

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