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Stable oxygen isotope constraints on nitrate formation in Beijing in springtime. | LitMetric

Stable oxygen isotope constraints on nitrate formation in Beijing in springtime.

Environ Pollut

Jiangxi Province Key Laboratory of the Causes and Control of Atmospheric Pollution, East China University of Technology, Nanchang, 330013, China.

Published: August 2020

AI Article Synopsis

  • Aerosol nitrate accumulation is a significant factor in haze pollution, yet studies on its formation mechanisms are limited.
  • In Beijing's spring of 2013, higher nitrate concentrations and δO- NO values were observed on polluted days (PD) compared to non-polluted days (NPD), indicating different formation pathways.
  • A Bayesian isotope mixing model revealed that during PD, pathways involving NO with HO/Cl, VOCs, and ClNO contributed 53%-89% to nitrate production, whereas during NPD, the NO + OH pathway accounted for 37%-69% of nitrate formation.

Article Abstract

Rapid accumulation of aerosol nitrate (NO) contributes to haze pollution; however, studies quantifying NO formation mechanisms remain scarce. To explore aerosol nitrate formation pathways, total suspended particulate (TSP) samples were collected in Beijing during the spring of 2013, and the concentration of NO and δO- NO value were analyzed. The NO concentrations on polluted days (PD) were higher than those on non-polluted days (NPD). Furthermore, higher δO- NO values were observed on PD (86.8 ± 8.1‰) as compared with NPD (73.7 ± 11.0‰) suggest that more nitrate was produced by pathways with relative high δO-HNO values during PD. Based on the calculated δO-HNO values from different formation pathways and the observed δO- NO values, the possible fractional contributions of HNO formed via various pathways to TSP NO were estimated using the Bayesian isotope mixing model. The δO- NO constrained calculations suggest that the pathways of NO + HO/Cl, NO + VOCs, and ClNO + HO possibly contributed 53%-89% to nitrate production during PD. During NPD, the NO + OH pathway produced 37%-69% of the NO. Using the δO- NO value combined with the isotope mixing model is a promising approach for exploring NO formation pathways.

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Source
http://dx.doi.org/10.1016/j.envpol.2020.114515DOI Listing

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