Chemical characteristics and source apportionment of PM10 during a brown haze episode in Harbin, China--颗粒学报PARTICUOLOGY

Huang, L., Yuan, C.-S., Wang, G., & Wang, K. (2011). Chemical characteristics and source apportionment of PM10 during a brown haze episode in Harbin, China. Particuology, 9(1), 32-38. https://doi.org/10.1016/j.partic.2010.07.022

Chemical characteristics and source apportionment of PM₁₀ during a brown haze episode in Harbin, China

Likun Huang ^{a b}, Chung-Shin Yuan ^{c d *}, Guangzhi Wang ^b, Kun Wang ^b

a School of Food Engineering, Harbin University of Commerce, Harbin 150076, China
b School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin 150090, China
c State Key Laboratory of Urban Water Resources and Environments, Harbin Institute of Technology, Harbin 150090, China
d Institute of Environmental Engineering, National Sun Yat-sen University, Taiwan 80424, China

10.1016/j.partic.2010.07.022

Volume 9, Issue 1, February 2011, Pages 32-38

Received 19 January 2010, Revised 2 July 2010, Accepted 16 July 2010, Available online 12 January 2011.

E-mail: ycsngi@mail.nsysu.edu.tw; hlk1980@yahoo.cn

Highlights

Abstract

This study investigates the correlation between PM₁₀ and meteorological factors such as wind speed, atmospheric visibility, dew point, relative humidity, and ambient temperature during a brown haze episode. In order to identify the potential sources of PM₁₀ during brown haze episode, respirable particulate matter (PM₁₀) was collected during both non-haze days and haze days and further analyzed for metallic elements, ionic species, and carbonaceous contents. Among them, ionic species contributed 45–64% to PM₁₀, while metallic elements contributed 7–21% to PM₁₀ which was smaller than the other chemical constituents. The average OC/EC ratio (42) in haze days was about three times of the average OC/EC ratio (14) in non-haze days. By using chemical mass balance (CMB) receptor model, the major sources were apportioned, including traffics, incinerators, coal combustion, steel industry, petrochemical industry, and secondary aerosols, etc. The contribution to PM₁₀ concentration of each source was calculated for all the samples collected. The results showed that coal combustion was the major source of PM₁₀ in non-haze days and secondary aerosols were the major source in haze days, followed by petrochemical industry, incinerators, and traffics, while other sources had negligible effect.

Graphical abstract

Keywords

PM₁₀; Chemical analysis; Meteorological factors; CMB receptor model; Source apportionment

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