Skip to main content

Advertisement

Log in

Origin of air pollution during a weekly heavy haze episode in Hangzhou, China

  • Original Paper
  • Published:
Environmental Chemistry Letters Aims and scope Submit manuscript

Abstract

Air pollution has recently become China’s highest environmental issue due to the rapid development of industry and urbanization. So far, the precise sources of air pollution of main cities are unknown. To identify sources, we studied air pollution in the Hangzhou city from November 25 to December 11, 2013, at eight monitoring stations. We analyzed PM2.5, PM10, O3, NO2, CO, SO2, and satellite observations for aerosol optical thickness (PM: particulate matter). Pollution sources were identified by trajectory clustering and receptor models. The results show that during the weekly heavy haze episode, December 3–9, mean concentrations were 293.4 ± 103.2 μg m−3 for PM2.5, 376.8 ± 119.4 μg m−3 for PM10, 58.0 ± 37.2 μg m−3 for SO2, 118.5 ± 39.3 μg m−3 for NO2, and 2,429 ± 740 μg m−3 for CO. The back trajectory cluster analysis indicates that the predominant clusters are south (37.1 %) and southeast (28.6 %) during the weekly heavy haze episode. The results of the receptor models show that the sources affecting formation of the extremely high PM2.5 in Hangzhou are mainly located in the southeastern coast of Zhejiang and Fujian provinces, north part of Jiangxi, and central part of Jiangsu province. Rather than local emissions, it is also found that air mass pathways and cross-border transports control high PM2.5 concentrations and formation in Hangzhou. Therefore, it is necessary to implement air pollution control for all industrial areas at local, regional, and national scales in China.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Ashbaugh LL, Malm WC, Sadeh WZ (1985) A residence time probability analysis of sulfur concentrations at grand canyon national park. Atmos Environ 19(8):1263–1270

    Article  CAS  Google Scholar 

  • Chan CK, Yao X (2008) Review: air pollution in megacities in China. Atmos Environ 42:1–42

    Article  CAS  Google Scholar 

  • Hsu YK, Holsen TM, Hopke PK (2003) Comparison of hybrid receptor models to locate PCB sources in Chicago. Atmos Environ 37:545–562

    Article  CAS  Google Scholar 

  • Polissar AV, Hopke PK, Paatero P, Kaufmann YJ, Hall DK, Bodhaine BA, Dutton EG, Harris JM (1999) The aerosol at Barrow, Alaska: long-term trends and source locations. Atmos Environ 33:2441–2458

    Article  CAS  Google Scholar 

  • Shao M, Tang XY, Zhang YH, Li WJ (2006) City clusters in China: air and surface water pollution. Front Ecol Environ 4(7):353–361. doi:10.1890/1540-9295(2006)004

    Article  Google Scholar 

  • Sun GJ, Yao L, Jiao L, Shi Y, Zhang QY, Tao M, Shan G, He Y (2013) Characterizing PM2.5 pollution of a subtropical metropolitan area in China. Atmos Climate Sci 3:100–110

    Article  Google Scholar 

  • Wang S, Hao J (2012) Air quality management in China: issues, challenges, and options. J Environ Sci 24(1):2–13

    Article  CAS  Google Scholar 

  • Wang YQ, Zhang XY, Arimoto R (2006) The contribution from distant dust sources to the atmospheric particulate matter loadings at XiAn, China during spring. Sci Total Environ 368(2–3):875–883

    Article  CAS  Google Scholar 

  • Wang YQ, Zhang XY, Draxler R (2009) TrajStat: GIS-based software that uses various trajectory statistical analysis methods to identify potential sources from long-term air pollution measurement data. Environ Model Softw 24:938–939

    Article  Google Scholar 

  • Yu SC (2014) Water spray geoengineering to clean air pollution for mitigating haze in China’s cities. Environ Chem Lett. doi:10.1007/s10311-013-0444-0,12:109-116

    Google Scholar 

  • Yu SC, Saxena VK, Zhao Z (2001) A comparison of signals of regional aerosol-induced forcing in eastern China and the southeastern United States. Geophys Res Lett 28:713–716

    Article  CAS  Google Scholar 

  • Yu SC, Dennis R, Bhave P, Eder B (2004) Primary and secondary organic aerosols over the United States: estimates on the basis of observed organic carbon (OC) and elemental carbon (EC), and air quality modeled primary OC/EC ratios. Atmos Environ 38:5257–5268

    Article  CAS  Google Scholar 

Download references

Acknowledgments

The part of this work is supported by the “Zhejiang 1,000 Talent Plan” and Research Center for Air Pollution and Health in Zhejiang University.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Shaocai Yu or Qingyu Zhang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yu, S., Zhang, Q., Yan, R. et al. Origin of air pollution during a weekly heavy haze episode in Hangzhou, China. Environ Chem Lett 12, 543–550 (2014). https://doi.org/10.1007/s10311-014-0483-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10311-014-0483-1

Keywords

Navigation