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DC Field | Value | Language |
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dc.contributor.author | Kim, Eunhye | - |
dc.contributor.author | Kim, Byeong Uk | - |
dc.contributor.author | Kim, Hyun Cheol | - |
dc.contributor.author | Kim, Soontae | - |
dc.date.issued | 2021-01-01 | - |
dc.identifier.uri | https://dspace.ajou.ac.kr/dev/handle/2018.oak/31623 | - |
dc.description.abstract | Emissions reductions in upwind areas can influence the PM2.5 concentrations in downwind areas via long-range transport. However, few studies have assessed the impact of upwind PM2.5 precursor controls on changes in downwind PM2.5 concentrations. In this study, we analyzed the overall impact of PM2.5 precursor emission controls in upwind areas on PM2.5 in downwind areas with two types of impacts: “direct impact” and “cross impact.” The former refers to PM2.5 changes in downwind areas due to the transported PM2.5 itself, whereas the latter represents PM2.5 changes due to reactions between the transported gaseous precursors and intermediates (i.e., HNO3) originating from upwind areas and locally emitted precursors (i.e. NH3) in the downwind areas. As a case study, we performed air quality modeling for Northeast Asia for January 15–17, 2016 by setting China and South Korea as the upwind and downwind areas, respectively. To account for potential spatiotemporal variations in NH3 emissions in downwind areas, we considered two NH3 conditions. When NOx emissions in China were reduced by 35%, in downwind areas the PM2.5 concentrations decreased by 2.2 μg/m3 under NH3-rich conditions, while PM2.5 concentrations increased by 2.3 μg/m3 under NH3-poor conditions. The direct impact increased by 4.0 μg/m3 in both cases due to upwind NOx disbenefit effects. However, the cross impacts led to a PM2.5 decrease of 6.2 μg/m3 under NH3-rich conditions versus a PM2.5 increase of 1.7 μg/m3 under NH3-poor conditions. We noted that PM2.5 concentrations in the downwind areas may not improve unless a cross impact outweighs a direct impact. This may be one of the reasons why South Korea PM2.5 concentrations have not declined despite efforts by China to reduce their PM2.5 precursor emissions. | - |
dc.description.sponsorship | In Fig. 5(a), the west boundary represents the SENS_A1-CNTR_A case, which is nearly the same for the SENS_B1-CNTR_B case because the west boundary is not affected by changes in downwind emissions. Accounting for direct impact contributions, 35% Chinese NOx emission reductions during the focused analysis period increased the concentrations of PM2.5 by 4.6 μg/m3 (11%), NO3− by 2.5 μg/m3 (40%), SO42− by 0.8 μg/m3 (18%), and NH4+ by 1.1 μg/m3 (31%) at the west boundary in the simulation results (Fig. 5 (a)). Percentages within the parentheses are relative magnitudes of the changes in concentration estimated by CNTR_A. In addition, the maximum direct impacts on PM2.5, NO3-, SO42−, and NH4+ during this period were as high as 5.4 μg/m3, 3.2 μg/m3, 1.0 μg/m3, and 1.3 μg/m3, respectively. However, the same emission reductions caused the HNO3 concentrations to decrease by 7.0 μg/m3 (54%) (Fig. 5 (a)). Before reaching the west boundary, changes in HNO3 in upwind areas will be reflected in NO3− changes in upwind areas due to its rapid neutralization with NH3, forming NH4NO3. We examined how HNO3 is transported downwind using the Process Analysis Integrated Process Rate (PA IPR) (Supplementary Fig. 13). PA IPR is one of probing tools supported by CMAQ that allows the quantitative contributions of each process to be addressed (i.e., emission, advection, diffusion, chemical reaction, and deposition) for grid cells or areas of interest. The PA IPR shows that the dry deposition process decreases HNO3 concentrations near the surface. On the contrary, horizontal advection and thermal decomposition of NH4NO3 increase HNO3 concentrations in the lower atmosphere (∼500 m). Conversely, the gas-to-aerosol conversion increases NO3− concentrations at altitudes between 500 and 1000 m (Supplementary Fig. 14). The model shows that the main provider of surface-level HNO3 at the west boundary is the thermal decomposition of NH4NO3 during the focused analysis period.This work was supported by the National Strategic Project-Fine Particle of the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT), the Ministry of Environment (ME), and the Ministry of Health and Welfare (MOHW) (2017M3D8A1092015) in South Korea. | - |
dc.description.sponsorship | This work was supported by the National Strategic Project-Fine Particle of the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT), the Ministry of Environment (ME), and the Ministry of Health and Welfare (MOHW) ( 2017M3D8A1092015 ) in South Korea. | - |
dc.language.iso | eng | - |
dc.publisher | Elsevier Ltd | - |
dc.subject.mesh | Air quality modeling | - |
dc.subject.mesh | Emissions reduction | - |
dc.subject.mesh | Gaseous precursors | - |
dc.subject.mesh | Long range transport | - |
dc.subject.mesh | Northeast Asia | - |
dc.subject.mesh | PM2.5 concentration | - |
dc.subject.mesh | Rich conditions | - |
dc.subject.mesh | Spatio-temporal variation | - |
dc.subject.mesh | Air Pollutants | - |
dc.subject.mesh | Air Pollution | - |
dc.subject.mesh | Asia | - |
dc.subject.mesh | China | - |
dc.subject.mesh | Environmental Monitoring | - |
dc.subject.mesh | Particulate Matter | - |
dc.subject.mesh | Republic of Korea | - |
dc.subject.mesh | Vehicle Emissions | - |
dc.title | Direct and cross impacts of upwind emission control on downwind PM2.5 under various NH3 conditions in Northeast Asia | - |
dc.type | Article | - |
dc.citation.title | Environmental Pollution | - |
dc.citation.volume | 268 | - |
dc.identifier.bibliographicCitation | Environmental Pollution, Vol.268 | - |
dc.identifier.doi | 10.1016/j.envpol.2020.115794 | - |
dc.identifier.pmid | 33120348 | - |
dc.identifier.scopusid | 2-s2.0-85093703561 | - |
dc.identifier.url | https://www.journals.elsevier.com/environmental-pollution | - |
dc.subject.keyword | Downwind | - |
dc.subject.keyword | Emissions control | - |
dc.subject.keyword | Long-range transport | - |
dc.subject.keyword | Particulate matter | - |
dc.subject.keyword | Upwind | - |
dc.description.isoa | true | - |
dc.subject.subarea | Toxicology | - |
dc.subject.subarea | Pollution | - |
dc.subject.subarea | Health, Toxicology and Mutagenesis | - |
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