DOI: 10.1016/j.atmosenv.2017.11.027
Scopus记录号: 2-s2.0-85034958549
论文题名: A joint prevention and control mechanism for air pollution in the Beijing-Tianjin-Hebei region in china based on long-term and massive data mining of pollutant concentration
作者: Wang H ; , Zhao L
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 174 起始页码: 25
结束页码: 42
语种: 英语
英文关键词: Pollutant concentration data mining
; Pollution control grade
; Regional analysis
; Spatiotemporal distribution
Scopus关键词: Air pollution
; Air pollution control
; Air quality
; Cluster analysis
; Data mining
; Metadata
; Particles (particulate matter)
; Pollution
; Pollution induced corrosion
; Quality control
; Regional planning
; Atmospheric pollution
; Beijing-tianjin-hebei regions
; Correlation coefficient
; PM2.5 and PM10 concentrations
; Pollutant concentration
; Prevention and controls
; Regional analysis
; Spatiotemporal distributions
; Pollution control
; air quality
; atmospheric pollution
; cluster analysis
; concentration (composition)
; data mining
; long-term change
; pollution control
; spatiotemporal analysis
; air pollution control
; air quality
; Article
; China
; cluster analysis
; concentration (parameters)
; correlation coefficient
; data mining
; particulate matter
; pollution monitoring
; prevention study
; priority journal
; Beijing [China]
; China
; Hebei
; Tianjin
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: China's Beijing-Tianjin-Hebei (BTH) region suffers from the country's worst air pollution. The problem has caused widespread concern both at home and abroad. Based on long-term and massive data mining of PM2.5 and PM10 concentration, we found that these pollutants showed similar variations in four seasons, but the most severe pollution was in winter. Through cluster analysis of the winter daily average concentration (DAC) of the two pollutants, we defined regions with similar variations in pollutant concentrations in winter. For the most polluted cities in BTH, the relationship between correlation coefficients for winter DAC and the distance between cities revealed that PM2.5 has regional, large-scale characteristics, with concentrated outbreaks, whereas PM10 has local, small-scale characteristics, with outbreaks at multiple locations. By selecting the key cities with the strongest linear relationship between the pollutant's DAC of each city and the daily individual air quality index values of the BTH region and through cluster analysis on the correlations between the pollutant DACs of the key cities, we defined regional divisions suitable for Joint Prevention and Control of Atmospheric Pollution (JPCAP) program to control PM2.5 and PM10. Comprehensively considering the degree of influence of regional atmospheric pollution control (RAPC) on air quality in BTH, as well as the elasticity and urgency of RAPC, we defined the control grades of the JPCAP regions. We found both the regions and corresponding control grades were consistent for PM2.5 and PM10. The thinking and methods of atmospheric pollution control we proposed will have broad significance for implementation of RAPC in other regions around the world. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/83098
Appears in Collections: 气候变化事实与影响
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作者单位: Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai, China; Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China
Recommended Citation:
Wang H,, Zhao L. A joint prevention and control mechanism for air pollution in the Beijing-Tianjin-Hebei region in china based on long-term and massive data mining of pollutant concentration[J]. Atmospheric Environment,2018-01-01,174