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High efficiency of nitric acid controls in alleviating particulate nitrate in livestock and urban areas in South Korea

  • Haeri Kim
  • , Junsu Park
  • , Seunggi Kim
  • , Komal Narayan Pawar
  • , Mijung Song*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

Remarkably, enhanced particulate nitrate (NO3) concentrations occur in many environments during particulate matter (PM) pollution; however, information on the formation mechanism and alleviation strategies is still limited. Herein, to explore the NO3 formation mechanism and conditions, we measured the concentrations of water-soluble inorganic ions in PM1.0 as well as the inorganic gas concentrations of HNO3, NO2, and NH3 in Gimje, a highly dense livestock area, from June to July 2020 and January to February 2021. At the monitoring site, extremely high atmospheric NH3 was measured with an hourly average of 96.9 ± 48.1 ppb, and the daily average of HNO3 and PM1.0 was 0.7 ± 0.7 ppb, and 20.1 ± 8.8 μg m−3, respectively. A clear increase in the NO3 concentration in PM1.0 was observed on high pollution days (PM1.0 ≥ 20 μg m−3), suggesting that HNO3 and NH3 contributed to NO3 formation. Moreover, we applied the thermodynamic model ISORROPIA-II to predict the NO3 response to the reduction of total HNO3 (TN), total NH3 (TA), and SO42−. The results showed that controlling TN could be more effective in alleviating particulate NO3 than controlling SO42− and TA in the livestock area. We also compared this result to that of a nearby urban area, Jeonju. A similar result was observed, with efficient HNO3 control, which reduced the NO3 concentration in Jeonju. These measurements and simulations indicated that NOx control could be the most effective approach to reduce particulate NO3 concentrations in both livestock and urban areas. Our results provide a significant contribution to developing a strategy for alleviating particulate NO3 pollution.

Original languageEnglish
Pages (from-to)422-433
Number of pages12
JournalEnvironmental Science: Atmospheres
Volume3
Issue number2
DOIs
StatePublished - 2023.01.18

UN SDGs

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

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Quacquarelli Symonds(QS) Subject Topics

  • Environmental Sciences
  • Engineering - Petroleum
  • Chemistry

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