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

Roy M Harrison, David C S Beddows, Chengxu Tong, Seny Damayanti

Research output: Contribution to journalArticlepeer-review

27 Downloads (Pure)

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 (SO2), oxides of nitrogen (NOx), 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 NOx emissions and ambient NOx concentrations. For sulfate, the decline lies between that of emissions and airborne concentrations of SO2. 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.

Original languageEnglish
Article number71
Journalnpj Climate and Atmospheric Science
Volume5
Issue number1
Early online date14 Sept 2022
DOIs
Publication statusPublished - Dec 2022

Bibliographical note

Funding Information:
This research has been supported by the Natural Environment Research Council and D.C.S.B. is funded by the National Centre for Atmospheric Science NCAS (R8/H12/83/011).

Publisher Copyright:
© 2022, The Author(s).

Fingerprint

Dive into the research topics of 'Non-linearity of secondary pollutant formation estimated from emissions data and measured precursor-secondary pollutant relationships'. Together they form a unique fingerprint.

Cite this