深圳大气PM<sub>2.5</sub>化学组成的长期变化特征

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Abstract This work was aimed to analyze the long-term variational characteristics of PM_2.5 (particulate matter with aerodynamic diameter less than 2.5μm) and chemical species and investigate their reasons in Shenzhen. To this end, PM_2.5 was sampled and chemical compositions were analyzed at Xixiang site in the four seasons in 2019, and the results were compared with that in 2004, 2009, and 2014. The results showed that the annual average concentration of PM_2.5 was 29.4μg/m³ in Xixiang in 2019, with obvious seasonal variation that high levels in summer and low levels winter. OM and SO₄^2- were still the main components, accounting for 42.3% and 17.6% of the PM_2.5 mass, respectively. Comparison with PM_2.5 and chemical species in 2009, 2014, and 2019, the annual average PM_2.5 concentration dropped from 42.3μg/m³ in 2009 to 24.6μg/m³ in 2019. Organic matter, sulfate, nitrate, ammonium salt, and carbon and other elements also obtained obvious decreasing trend. However, Al and Ca, the tracers of fugitive dust and construction dust, exhibited the increasing trend in recent years, indicating the increasing impact of dust on PM_2.5 in Xixiang, Baoan District. The value of OC/EC gradually increased from 2009, 2014 to 2019, indicating that the impact of primary combustion source gradually decreased while the contribution of secondary organic matter became prominent. This work also investigated the seasonal (summer and winter) trends of six components of PM_2.5 in 2004, 2009, 2014, and 2019. The results suggested that the six components obtained larger decrements in summer than that in winter due to unfavorable meteorological conditions in winter. In summary, the reasons for the continuous decrease of PM_2.5 concentration were the emission reductions of motor vehicles, industrial emissions (VOCs), shipping emissions and other primary combustion sources in Shenzhen.

Key words： PM_2.5 shenzhen chemical composition long-term variation characteristics

Received: 28 June 2020

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X513

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	JIANG Jia-hao
	PENG Xing
	ZHU Bo
	HUANG Xiao-feng
	HE Ling-yan

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JIANG Jia-hao,PENG Xing,ZHU Bo等. Long-term variational characteristics of the chemical composition of PM_2.5 in Shenzhen.[J]. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(2): 574-579.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2021/V41/I2/574

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