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[Secondary aerosol formation through photochemical reactions estimated by using air quality monitoring data in the downtown of Pudong, Shanghai].

Authors: Hu-xiong, Cui; Ya-ming, Wu; Yu-sen, Duan; Qing-yan, Fu; Yi-hua, Zhang; Dong-fang, Wang; Qian, Wang;

[Secondary aerosol formation through photochemical reactions estimated by using air quality monitoring data in the downtown of Pudong, Shanghai].

Abstract

Analyses of diurnal patterns of PM10 in the downtown of Pudong, Shanghai have been performed in this study at different daily ozone maximum concentrations (O(3,max)) from May to October, 2010. In order to evaluate secondary aerosol formation at different ozone levels, CO was used as a tracer for primary aerosol, and 0(3, max) was used as an index for photochemical activity. Results show that along with increasing of O3 concentration, the concentration of primary and secondary aerosol was increased respectively from 0. 036 to 0.044 mg x m(-3) and from 0.018 to 0.055 mg x m(-3). The ratio of secondary to primary aerosol was increased from 49.8% to 124.5%. Furthermore, along with the increase of O(3, max) the forming time of O(3,max) and secondary aerosol was changed respectively from 13:00 to 14:00 and from 11:00-20:00 to 09:00-20:00. At the same time, the chemical composition of PM2.5 was different at different photochemical levels. PM(2.5) was composed of 12.0% organic carbon (OC), 18.7% sulfate (SO4(2-1)), 13.1% nitrate (NO3-) and 4.5% element carbon (EC) when O(3, max) was 0. 20 mg x m(-3). These results approved that the photochemical reactivity promoted the production of SO4(2-), NO3- and OC.

Keywords

Aerosols, Air Pollutants, China, Cities, Photochemical Processes, Environmental Monitoring

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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