AI Article Synopsis
- A source-tagged model was used alongside the Nested Air Quality Prediction Model System (NAQPMS) to analyze the contributions of sulfate, nitrate, and ammonium (SNA) during winter in Shanghai.
- Over 20% of SNA originated from local emissions in Shanghai, while Jiangsu and Shandong were significant non-local contributors, especially during pollution spikes.
- The study found that current day's emissions were responsible for a majority of sulfate and ammonium levels, whereas previous days' emissions had a more substantial impact during pollution events, with a three-day emission window contributing over 85% of SNA in January 2013.
Article Abstract
An on-line source-tagged model coupled with an air quality model (Nested Air Quality Prediction Model System, NAQPMS) was applied to estimate source contributions of primary and secondary sulfate, nitrate and ammonium (SNA) during a representative winter period in Shanghai. This source-tagged model system could simultaneously track spatial and temporal sources of SNA, which were apportioned to their respective primary precursors in a simulation run. The results indicate that in the study period, local emissions in Shanghai accounted for over 20% of SNA contributions and that Jiangsu and Shandong were the two major non-local sources. In particular, non-local emissions had higher contributions during recorded pollution periods. This suggests that the transportation of pollutants plays a key role in air pollution in Shanghai. The temporal contributions show that the emissions from the "current day" (emission contribution from the current day during which the model was simulating) contributed 60%-70% of the sulfate and ammonium concentrations but only 10%-20% of the nitrate concentration, while the previous days' contributions increased during the recorded pollution periods. Emissions that were released within three days contributed over 85% averagely for SNA in January 2013. To evaluate the source-tagged model system, the results were compared by sensitivity analysis (emission perturbation of -30%) and backward trajectory analysis. The consistency of the comparison results indicated that the source-tagged model system can track sources of SNA with reasonable accuracy.
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| http://dx.doi.org/10.1016/j.envpol.2016.11.061 | DOI Listing |
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Article Synopsis
- A source-tagged model was used alongside the Nested Air Quality Prediction Model System (NAQPMS) to analyze the contributions of sulfate, nitrate, and ammonium (SNA) during winter in Shanghai.
- Over 20% of SNA originated from local emissions in Shanghai, while Jiangsu and Shandong were significant non-local contributors, especially during pollution spikes.
- The study found that current day's emissions were responsible for a majority of sulfate and ammonium levels, whereas previous days' emissions had a more substantial impact during pollution events, with a three-day emission window contributing over 85% of SNA in January 2013.
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