Development of an empirical model to predict nitrogen dioxide concentrations from weather variables for sites across the UK

PR Hargreaves*, J.U. Smith, S. Young, K.W.T. Goulding

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

The prediction of nitrogen dioxide (NO2) concentrations from simple and available data such as meteorological records accurately over time steps shorter than 1 yr would be of great benefit. Predictions of monthly, or more frequent, concentrations of NO2 would be especially valuable when calculating nitrogen deposition to vegetation, as concentrations of NO2 can fluctuate through the year. A model that predicts concentrations of NO2 (μg m−3) on a fortnightly time step at specific sites using mean fortnightly ambient air temperatures and a local annual concentration of NO2 from the nearest representative monitoring site has been developed. The model was tested at a variety of sites across the UK and showed a reasonable pattern of agreement with measured values (R2 from 0.45 to 0.67) for the majority of sites. The model could be used to predict deposition of NO2-N from commonly recorded data sets, within the limits that have been tested.
Original languageEnglish
Pages (from-to)409-417
Number of pages9
JournalAtmospheric Environment
Volume39
Issue number3
DOIs
Publication statusPrint publication - 1 Jan 2005
Externally publishedYes

Keywords

  • NO2 concentration, Predictive, Air temperature, Seasonal, Climate, Change

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