Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.668 IF 5.668
  • IF 5-year value: 6.201 IF 5-year
    6.201
  • CiteScore value: 6.13 CiteScore
    6.13
  • SNIP value: 1.633 SNIP 1.633
  • IPP value: 5.91 IPP 5.91
  • SJR value: 2.938 SJR 2.938
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 174 Scimago H
    index 174
  • h5-index value: 87 h5-index 87
Discussion papers
https://doi.org/10.5194/acp-2020-9
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2020-9
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 05 Mar 2020

Submitted as: research article | 05 Mar 2020

Review status
This preprint is currently under review for the journal ACP.

Tracking Separate Contributions of Diesel and Gasoline Vehicles to Roadside PM2.5 Through Online Monitoring of Volatile Organic Compounds, PM2.5 Organic and Elemental Carbon: A Six-Year Study in Hong Kong

Yee Ka Wong1, X. H. Hilda Huang1, Peter K. K. Louie2, Alfred L. C. Yu2, Damgy H. L. Chan2, and Jian Zhen Yu1,3 Yee Ka Wong et al.
  • 1Division of Environment & Sustainability, Hong Kong University of Science & Technology, Clear Water Bay, Kowloon, Hong Kong
  • 2Hong Kong Environmental Protection Department, 47/F, Revenue Tower, 5 Gloucester Road, Wan Chai, Hong Kong
  • 3Department of Chemistry, Hong Kong University of Science & Technology, Clear Water Bay, Kowloon, Hong Kong

Abstract. Vehicular emissions contribute a significant portion to fine particulate matter (PM2.5) air pollution in urban areas. Knowledge of the relative contribution of gasoline versus diesel powered vehicles is highly policy relevant and yet there lacks an effective observation-based method to determine this quantity, especially for its robust tracking over a period of years. In this work, we present an approach to track separate contributions by gasoline and diesel vehicles through positive matrix factorization (PMF) analysis of online monitoring data measurable by relatively inexpensive analytical instruments. They are PM2.5 organic and elemental carbon (OC and EC), C2–C9 volatile organic compounds (VOCs) (e.g., pentanes, benzene, xylenes, etc) and nitrogen oxides concentrations. The method was applied to monitoring data spanning over six years between 2011 and 2017 in a roadside environment in Hong Kong. We found that diesel vehicles accounted for ~ 70–90 % of the vehicular PM2.5 (PMvehicle) over the years and the remaining from gasoline vehicles. The diesel PMvehicle during a truck- and a bus-dominated periods showed declining trends, in coincidence with control efforts targeting at diesel commercial vehicles and franchised buses in the intervening period. The combined PMvehicle from diesel and gasoline vehicles by PMF agrees well with an independent estimate by the EC-tracer method, both confirming PMvehicle contributed significantly to the PM2.5 in this urban environment (~ 4–8 µg m−3, representing 30–60 % in summer and 10–20 % in winter). Our work shows that long-term monitoring of roadside VOCs and PM2.5 OC and EC is effective for tracking gaseous and PM pollutants from different vehicle categories. This work also demonstrates the value of evidence-based approach in support of effective control policy formulation.

Yee Ka Wong et al.

Interactive discussion

Status: open (until 30 Apr 2020)
Status: open (until 30 Apr 2020)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Yee Ka Wong et al.

Yee Ka Wong et al.

Viewed

Total article views: 118 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
82 34 2 118 9 2 6
  • HTML: 82
  • PDF: 34
  • XML: 2
  • Total: 118
  • Supplement: 9
  • BibTeX: 2
  • EndNote: 6
Views and downloads (calculated since 05 Mar 2020)
Cumulative views and downloads (calculated since 05 Mar 2020)

Viewed (geographical distribution)

Total article views: 214 (including HTML, PDF, and XML) Thereof 211 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 01 Apr 2020
Publications Copernicus
Download
Short summary
We present an approach to track separate contributions to PM2.5 by gasoline and diesel vehicles through positive matrix factorization analysis of online monitoring data measurable by relatively inexpensive analytical instruments. They are PM2.5 organic and elemental carbon, C2–C9 volatile organic compounds and nitrogen oxides concentrations. The method was demonstrated to be effective through applying to monitoring data spanning over six years (2011–2017) in a roadside environment in Hong Kong.
We present an approach to track separate contributions to PM2.5 by gasoline and diesel vehicles...
Citation