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Non-linearity of secondary pollutant formation estimated from emissions data and measured precursor-secondary pollutant relationships. | LitMetric

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Article Abstract

In order to predict the impacts of reductions in air pollutant emissions, it is important to know whether secondary pollutant concentrations will decline in direct proportion to the reduction in their precursor, referred to as linearity. Trends in airborne concentrations of nitrate, sulfate, and SOC at sites in southern England are compared with emissions and concentration trends for sulfur dioxide (SO), oxides of nitrogen (NO ), and non-methane VOC, and show some increased ratios of concentrations to emissions, strongly suggestive of non-linearity in the primary-secondary pollutant relationships for nitrate, but not the other pollutants. Analysis of a further 20-year dataset from the AGANET network shows a decline of nitrate concentrations significantly lower than that of NO emissions and ambient NO concentrations. For sulfate, the decline lies between that of emissions and airborne concentrations of SO. Back trajectory analysis and Potential Source Contribution Function mapping for 2014-2018 show that the highest concentrations of secondary constituents in southern England are associated with air masses originating in mainland Europe, with 42% of sulfate, 55% of nitrate, and 35% of SOC estimated to be associated with air masses entering the UK from the European mainland.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471023PMC
http://dx.doi.org/10.1038/s41612-022-00297-9DOI Listing

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