Spatio-temporal characteristics of urban air pollutions and their causal relationships: Evidence from Beijing and its neighboring cities

Scientific Reports

Volumn 8, Issue 1, 2018, Pages

  Jiang, Lei ^a,b   Bai, Ling ^c  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b ZHEJIANG UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^c NANCHANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AIR QUALITY; ARTICLE; AUTUMN; CHINA; CITY; EXHAUST GAS; RUNNING; SPRING; SUMMER; WINTER; AIR POLLUTION; ENVIRONMENTAL MONITORING; PROCEDURES; SEASON; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

AIR POLLUTION; CHINA; CITIES; ENVIRONMENTAL MONITORING; MODELS, STATISTICAL; SEASONS;

EID: 85040817431     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/s41598-017-18107-1     Document Type: Article

References (47)

1. Zhang, X. Y., et al. Atmospheric aerosol compositions in China: spatial/temporal variability, chemical signature, regional haze distribution and comparisons with global aerosols. Atmos Chem Phys 12(2), 779-799 (2012).
2. Elser, M., et al. New insights into PM2.5 chemical composition and sources in two major cities in China during extreme haze events using aerosol mass spectrometry. Atmos Chem Phys 16(5), 3207-3225 (2016).
3. Huang, R. J., et al. High secondary aerosol contribution to particulate pollution during haze events in China. Nature 514(7521), 218 (2014).
4. Hu, J., Wang, Y., Ying, Q., & Zhang, H. Spatial and temporal variability of PM2.5 and PM10 over the North China Plain and the Yangtze River Delta, China. Atmos Environ 95, 598-609 (2014).
5. Li, R., et al. Spatial and temporal variation of particulate matter and gaseous pollutants in China during 2014-2016. Atmos Environ 161, 235-246 (2017b).
6. Matus, K., et al. Health damages from air pollution in China. Global Environ Chang 22(1), 55-66 (2012).
7. Guo, H., Wang, Y., & Zhang, H. Characterization of criteria air pollutants in Beijing during 2014-2015. Environ Res 154, 334-344 (2017).
8. Phung, D., et al. Air pollution and risk of respiratory and cardiovascular hospitalizations in the most populous city in Vietnam. Sci Total Environ 557, 322-330 (2016).
9. Tsangari, H., et al. Extreme weather and air pollution effects on cardiovascular and respiratory hospital admissions in Cyprus. Sci Total Environ 542, 247-253 (2016).
10. Yang, Y. R., et al. Characteristics and formation mechanism of continuous extreme hazes in China: a case study in autumn of 2014 in the north China plain. Atmos Chem Phys 15(14), 10987-11029 (2015).
11. Wang, H., et al. A study of the meteorological causes of a prolonged and severe haze episode in January 2013 over central-eastern China. Atmos Environ 98, 146-157 (2014).
12. Chen, Y., Ebenstein, A., Greenstone, M., & Li, H. Evidence on the impact of sustained exposure to air pollution on life expectancy from China?s Huai River policy. P Natl Acad Sci USA 110(32), 12936-12941 (2013).
13. Xu, H., et al. Inter-Annual variability of wintertime PM2.5 chemical composition in Xi?an, China: Evidences of changing source emissions. Sci Total Environ 545, 546-555 (2016).
14. Tao, M., et al. Spatial oscillation of the particle pollution in eastern China during winter: Implications for regional air quality and climate. Atmos Environ 144, 100-110 (2016).
15. Fu, G. Q., Xu, W. Y., Yang, R. F., Li, J. B., & Zhao, C. S. The distribution and trends of fog and haze in the North China Plain over the past 30 years. Atmos Chem Phys 14(21), 11949-11958 (2014).
16. Zhou, Q., Jiang, H., Wang, J., & Zhou, J. A hybrid model for PM2.5 forecasting based on ensemble empirical mode decomposition and a general regression neural network. Sci Total Environ 496, 264-274 (2014).
17. Fang, C., Wang, Z., & Xu, G. Spatial-Temporal characteristics of PM2.5 in China: A city-level perspective analysis. J Geogr Sci 26(11), 1519-1532 (2016).
18. Cheng, Z., Jiang, J., Fajardo, O., Wang, S., & Hao, J. Characteristics and Health Impacts of Particulate Matter Pollution in China (2001-2011). Atmos Environ 65, 186-194 (2013).
19. An, X., Hou, Q., Li, N., & Zhai, S. Assessment of human exposure level to PM10 in China. Atmos Environ 70, 376-386 (2013).
20. Li, X., Wang, Y., Guo, X., & Wang, Y. Seasonal variation and source apportionment of organic and inorganic compounds in PM2.5 and PM10 particulates in Beijing, China. J Environ Sci-china 25(4), 741-750 (2013).
21. Cao, C., et al. Inhalable microorganisms in Beijing?s PM2.5 and PM10 pollutants during a severe smog event. Environ Sci Technol 48(3), 1499-1507 (2014).
22. Wang, J., Hu, Z., Chen, Y., Chen, Z., & Xu, S. Contamination characteristics and possible sources of PM10 and PM2.5 in different functional areas of Shanghai, China. Atmos Environ 68, 221-229 (2013).
23. Ma, J., et al. Airborne PM2.5/PM10-Associated chlorinated polycyclic aromatic hydrocarbons and their parent compounds in a suburban area in Shanghai, China. Environ Sci Technol 47(14), 7615-7623 (2013).
24. Shen, G. F., et al. Ambient levels and temporal variations of PM2.5 and PM10 at a residential site in the mega-city, Nanjing, in the western Yangtze River Delta, China. J Environ Sci Heal A 49(2), 171-178 (2014).
25. Cheng, Z., et al. Impact of biomass burning on haze pollution in the Yangtze River delta, China: a case study in summer 2011. Atmos Chem Phys 14(9), 4573-4585 (2014).
26. Cheng, Z., et al. Long-Term trend of haze pollution and impact of particulate matter in the Yangtze River Delta, China. Environ Pollut 182, 101-110 (2013).
27. Zheng, J., Che, W., Zheng, Z., Chen, L., & Zhong, L. Analysis of spatial and temporal variability of PM10 concentrations using MODIS aerosol optical thickness in the Pearl River Delta Region, China. Aerosol Air Qual Res 13(3), 862-876 (2013).
28. Wang, M., Cao, C., Li, G., & Singh, R. P. Analysis of a severe prolonged regional haze episode in the Yangtze River Delta, China. Atmos Environ 102, 112-121 (2015).
29. Hu, M., Jia, L., Wang, J., & Pan, Y. Spatial and temporal characteristics of particulate matter in Beijing, China using the empirical mode decomposition method. Sci Total Environ 458-460(3), 70-80 (2013).
30. Guo, J., et al. Impact of various emission control schemes on air quality using WRF-CHEM during APEC China 2014. Atmos Environ 140, 311-319 (2016).
31. She, Q., et al. Air quality and its response to satellite-derived urban form in the Yangtze River Delta, China. Ecol Indic 75, 297-306 (2017).
32. Xia, T. Y., Wang, J. Y., Song, K., & Da, L. J. Variations in air quality during rapid urbanization in Shanghai, China. Landsc Ecol Eng 10(1), 181-190 (2014).
33. Chen, W., Tang, H., & Zhao, H. Urban air quality evaluations under two versions of the national ambient air quality standards of China. Atmos Pollut Res 7(1), 49-57 (2016).
34. Shen, F., et al. Air pollution characteristics and health risks in Henan Province, China. Environ Res 156, 625-634 (2017).
35. Liu, Y., Wu, J., & Yu, D. Characterizing spatiotemporal patterns of air pollution in China: A multiscale landscape approach. Ecol Indic 76, 344-356 (2017).
36. Xu, X., You, S., Zheng, X., & Li, H. A survey of district heating systems in the heating regions of northern China. Energy 77, 909-925 (2014).
37. Jiang, W., Wang, Y., Tsou, M. H., & Fu, X. Using social media to detect outdoor air pollution and monitor air quality index (AQI): a geo-Targeted spatiotemporal analysis framework with Sina Weibo (Chinese Twitter). PLOS ONE 10(10), e0141185 (2015).
38. Li, Q., & Peng, C. H. The stock market effect of air pollution: evidence from China. Appl. Econ 48(36), 3442-3461 (2016).
39. Lin, X., & Wang, D. Spatiotemporal evolution of urban air quality and socioeconomic driving forces in China. J Geogr Sci 26(11), 1533-1549 (2016).
40. Yan, S., et al. Spatial and temporal characteristics of air quality and air pollutants in 2013 in Beijing. Environ Sci Pollut R 23(14), 13996-14007 (2016).
41. Li, G., & Cao, J. Contributions of trans-boundary transport to summertime air quality in Beijing, China. Atmos. Chem. Phys 17, 2035-2051 (2017).
42. Li, X., et al. Attribution of PM2.5 exposure in Beijing-Tianjin-Hebei region to emissions: Implication to control strategies. Sci Bull 62, 957-964 (2017).
43. Dickey, D. A., & Fuller, W. A. Distribution of the estimators for autoregressive time series with a unit root. J. Amer. Statistical Assoc 74(366), 427-431 (1979).
44. Dickey, D. A., & Fuller, W. A. Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica 49(4), 1057-1072 (1981).
45. Granger, C. W. Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37(3), 424-438 (1969).
46. Li, H., et al. Modelling of AQI related to building space heating energy demand based on big data analytics. Appl Energ 203, 57-71 (2017).
47. Zheng, S., Yi, H., & Li, H. The impacts of provincial energy and environmental policies on air pollution control in China. Renew Sust Energ Rev 49, 386-394 (2015).