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Assessing the emission sources and reduction potential of atmospheric ammonia at an urban site in Northeast China

  • Xiazhong Sun
  • , Zheng Zong
  • , Qiang Qiang Li
  • , Xiaofei Shi
  • , Kun Wang
  • , Lu Lu
  • , Bo Li
  • , Hong Qi*
  • , Chongguo Tian*
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • School of Environment, Harbin Institute of Technology
  • CAS - Yantai Institute of Coastal Research for Sustainable Development
  • Ltd.

Research output: Contribution to journalArticlepeer-review

Abstract

Atmospheric ammonium and ammonia have brought negative environmental impacts and adverse health effects. However, ammonia emissions are generally less regulated worldwide. This study analyzed ammonium pollution character, quantified the dominant ammonia emission sources, and assessed ammonia reduction potential in urban Harbin (China). The results showed that ammonium recorded low concentration in the non-heating season (1.34 ± 1.57 μg/m3), and recorded sharply increased concentration (6.50 ± 7.02 μg/m3) and relative abundance in the heating season. It was closely correlated with vehicle-related pollutants (CO) in non-heating season, while with biomass burning-related pollutants (K+, Cl) in the heating season. Bayesian Mixing Model emphasized the increasing contribution of biomass burning and decreasing contribution of fertilizer as the pollution levels escalate. The results from the thermodynamic equilibrium model showed that a 50%–60% ammonium decrease could bring marketable decrements of the aerosol pH, aerosol water content, ammonium nitrate concentration, and inorganic ion mass. The results of this study would provide scientific bases for ammonia emission reduction and haze pollution control in urban Harbin.

Original languageEnglish
Article number111230
JournalEnvironmental Research
Volume198
DOIs
StatePublished - Jul 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Atmospheric ammonium
  • Bayesian mixing model
  • Isotopic fractionation
  • Reduction potential assessment
  • Source apportionment

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