Assessment of the impact of emissions reductions on air quality over North China Plain
| Autor: | Lingyun Zhu, Andrei Skorokhod, Meigen Zhang, Xiao Han |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Pollutant
Pollution Atmospheric Science 010504 meteorology & atmospheric sciences media_common.quotation_subject Environmental engineering North china 010501 environmental sciences 01 natural sciences Emission intensity chemistry.chemical_compound chemistry Nitrate Environmental science Nitrogen oxide Waste Management and Disposal Air quality index 0105 earth and related environmental sciences media_common CMAQ |
| Zdroj: | Atmospheric Pollution Research. 7:249-259 |
| ISSN: | 1309-1042 |
| DOI: | 10.1016/j.apr.2015.09.009 |
| Popis: | The production rate of secondary pollutants was highly non-linear with the emission intensity of their precursors. In this study, the air quality modeling system RAMS-CMAQ with zero-out sensitivity test was applied to conduct source sensitivity approaches of PM 2.5 for four source categories (industry, power plants, transport, and residential) over the North China Plain (NCP) in January and July of 2013. The results show that the residential and industry emission sector were the greatest contributors to domain-wide PM 2.5 in January and July, respectively. The largest variation could exceed 200 μg m −3 attributed to the residential sector in January when a heavy pollution period appeared, and could reach 40–60 μg m −3 attributed to the industry sector in July in the heavy pollution area, respectively. The nonlinear relationship between the secondary pollutant formation and its precursors was reflected by this source sensitivity approaches, as the summation of the secondary pollutant variations attributed to the four sources was obviously different from the simulated baseline concentration and the mass burden of nitrate would increase upon removal of the power plants or transport emission sector in the heavy pollution regions in January. Further analysis indicated that the improvement of atmospheric oxidation capacity due to emission sector removal coupled with the sufficient precursor nitrogen oxide under severe pollution background should be the main reason of the negative variation of nitrate appeared in the sensitivity test. This feature indicates that the atmospheric oxidation capacity is an important impact factor in determining the production rate of nitrate formation, and could further influence the variation feature of PM 2.5 mass burden during the pollution episode. Thus, it is suggested that the comprehensive pollution control strategies should be implemented based on the specific pollution condition. Additionally, the nonlinearity of secondary pollutants formation should be reasonably considered for developing effective emission control strategies. |
| Databáze: | OpenAIRE |
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