Taylor & Francis Group
Browse
taos_a_1740055_sm2199.pdf (692.87 kB)

The regional nature of nitrate-dominant haze pollution during autumn over the Pearl River Delta area

Download (692.87 kB)
journal contribution
posted on 2020-03-24, 17:33 authored by Junchen GUO, Shengzhen ZHOU, Xi SUN, Minjuan HUANG, Hanying DONG, Ming CHANG, Qi FAN, Shaojia FAN, Xuemei WANG

China has experienced severe haze and visibility degradation problems in recent years because of rapid urbanization and industrialization. In this study, daily atmospheric fine-aerosol samples were concurrently collected at three sites over the Pearl River Delta (PRD) region during 1–29 October 2014. PM2.5 samples were analyzed for organic carbon and elemental carbon using a thermal/optical carbon analyzer. Major water-soluble inorganic ions including F, Cl, NO3, SO42−, Na+, NH4+, K+, Mg2+, and Ca2+ were analyzed by ion chromatography. The results show that the temporal variations of PM2.5 concentration at the three sites were highly parallel, with particle pollution events simultaneously observed during 13–19 October (EP1) and 23–27 October (EP2), suggesting that pollution events in the PRD region are usually regional. This can most likely be attributed to the significant influences of synoptic conditions, which regionally facilitate or block diffusion of air pollutants. The chemical compositions of PM2.5 at the three sites were also found to be similar, dominated by organics and sulfates. The results indicate that accumulation of traffic emissions seems to play important roles in particle pollution for the PRD region, leading in this case to elevated nitrate contributions during both EP1 and EP2 at the three sites. Moreover, the authors found that locally emitted aerosols from biomass burning only markedly influenced the air condition at one site, Nanhai, during EP1, while regionally transported biomass burning aerosols from eastern and northern Guangdong Province influenced all three sampling sites when the PRD was dominated by polluted air from these directions during EP2.

Funding

This work was supported by the National Key Research and Development Program of China [grant numbers 2017YFC0210104 and 2016YFC0203305], the National Natural Science Foundation of China [grant numbers 41875152, 41530641, and 41630422], the Special Fund Project for Science and Technology Innovation Strategy of Guangdong Province [Grant No.2019B121205004], and the Fundamental Research Funds for the Central Universities [grant number 19lgpy26].

History