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. (February 2018)
- Record Type:
- Journal Article
- Title:
- 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. (February 2018)
- Main Title:
- 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
- Authors:
- Wang, Hongbo
Zhao, Laijun - Abstract:
- Abstract: 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. WeAbstract: 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. Graphical abstract: BJ and the 9 cities i.e. LF, TJ, BD, TS, CZ, HS, SJZ, XT, HD, the latitude of which is lower than that of BJ, are the key cities in JPCAP oriented to the two pollutants in BTH region in China. For JPCAP oriented to PM2.5 and PM10, the key JPCAP regions and corresponding pollution control grades are consistent. These results provide a scientific basis for formulating long-term, stable, and unified JPCAP strategies for the BTH region and implementation of JPCAP measures that focus on the specific problems of each region. Highlights: The variation of PM2.5 and PM10 in the study area was similar in all four seasons. PM2.5 produced regional, large-scale, and concentrated pollution. PM10 produced local, small-scale, and multi-place pollution. We identified the key JPCAP regions and corresponding pollution control grades. The JPCAP regions and control grades were consistent for PM2.5 and PM10 . … (more)
- Is Part Of:
- Atmospheric environment. Volume 174(2018)
- Journal:
- Atmospheric environment
- Issue:
- Volume 174(2018)
- Issue Display:
- Volume 174, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 174
- Issue:
- 2018
- Issue Sort Value:
- 2018-0174-2018-0000
- Page Start:
- 25
- Page End:
- 42
- Publication Date:
- 2018-02
- Subjects:
- Spatiotemporal distribution -- Regional analysis -- Pollution control grade -- Pollutant concentration data mining
Air -- Pollution -- Periodicals
Air -- Pollution -- Meteorological aspects -- Periodicals
551.51 - Journal URLs:
- http://www.sciencedirect.com/web-editions/journal/13522310 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.atmosenv.2017.11.027 ↗
- Languages:
- English
- ISSNs:
- 1352-2310
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1767.120000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8639.xml