Isotope-based source apportionment of nitrogen-containing aerosols: A case study in an industrial city in China. (1st September 2019)

• Record Type: Journal Article
• Authors: Fan, Mei-Yi; Zhang, Yan-Lin; Lin, Yu-Chi; Chang, Yun-Hua; Cao, Fang; Zhang, Wen-Qi; Hu, Yong-Bo; Bao, Meng-Ying; Liu, Xiao-Yan; Zhai, Xiao-Yao; Lin, Xin; Zhao, Zhu-Yu; Song, Wen-Huai
• Is Part Of: Atmospheric environment. Volume 212(2019)
• Page Start: 96
• Page End: 105
• Publication Date: 2019-09-01
• Subjects: Nitrogen-containing aerosols -- Aerosol liquid water content -- Optimized Bayesian isotope mixing model; Air -- Pollution -- Periodicals; Air -- Pollution -- Meteorological aspects -- Periodicals; 551.51
• DOI: 10.1016/j.atmosenv.2019.05.020
• Languages: English
• ISSNs: 1352-2310

Abstract

Abstract: Due to the local emissions and transportations of air pollution from the most polluted regions such as the North China Plain and Yangtze Delta metropolitan, Xuzhou is becoming one of the most polluted cities in East China. The sources and formation processes of nitrogen-containing aerosols are therefore very complex. Two continuous aerosol measurement campaigns were conducted in this industrial city during the wintertime and summertime of 2016, to investigate the chemical compositions and potential sources of total nitrogen (TN, including 89% inorganic nitrogen and 11% organic nitrogen) in PM2.5 . Abrupt enhancements of nitrogen-containing aerosols (e.g., NO3 − and NH4 + ) were found in the winter, and nitrate became as a dominant contributor in high pollution days (e.g., PM2.5 > 150 μg m −3 ). Nitrogen oxidation ratios (NOR) correlated significantly with aerosol liquid water content (ALWC), which was estimated by ISORPROPIA-II model. This suggested heterogeneous process might be an important pathway in nitrate formation during the high PM2.5 days. The nitrogen isotope composition (δ 15 N) in TN varied from −1.3 to +13.2‰ with a mean value of 6.9 ± 3.6‰ during the wintertime. An isotope-based source apportionment approach was then developed using a Bayesian isotope mixing model (SIAR) with chemical compositions as an important constrain, which improved accuracy and reduced the overall uncertainties in estimations of TN sources. From this optimized model, we identified six major sources including NH3 from combustion-related emissions (49%), NH3 derived from animal wastes (6%), NH3 from urban volatilization (3%), NOx derived from coal combustion (33%), NOx from biomass burning (5%) and NOx from vehicles (3%). Our results demonstrated that ambient NOx was dominated by coal combustion. Since NOx and NH3 are important precursors for ammonium nitrate aerosols, controlling of combustion related NOx and NH3 emissions might be an important way to reduce PM2.5 levels in this region. Graphical abstract: Image 1 Highlights: Nitrate was the dominant contributor of water soluble inorganic ions in high PM2.5 pollution days. The optimized Bayesian isotope mixing model (SIAR) improved accuracy and reduced the overall uncertainties, indicating modified SIAR improve accuracy in estimations of TN sources. Combustion related NOx and NH3 emissions were the most predominant sources to nitrogen-containing aerosols (TN).