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 language | English |
---|---|
Pages (from-to) | 409-417 |
Number of pages | 9 |
Journal | Atmospheric Environment |
Volume | 39 |
DOIs | |
Publication status | Published - 2005 |
Keywords
- NO2 concentration
- predictive
- air temperature
- seasonal
- climate
- change