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 language | English |
|---|---|
| Pages (from-to) | 422-433 |
| Number of pages | 12 |
| Journal | Environmental Science: Atmospheres |
| Volume | 3 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2023.01.18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Quacquarelli Symonds(QS) Subject Topics
- Environmental Sciences
- Engineering - Petroleum
- Chemistry
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