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

P R Hargreaves, J U Smith, S Young, K W T Goulding

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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 (mug 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 (R-2 from 0.45 to 0.61) 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. (C) 2004 Elsevier Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)409-417
Number of pages9
JournalAtmospheric Environment
Volume39
DOIs
Publication statusPublished - 2005

Keywords

  • NO2 concentration
  • predictive
  • air temperature
  • seasonal
  • climate
  • change

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