An empirical approach for the prediction of daily mean PM10 concentrations

research
air quality
particulate matter
air quality modelling
An empirical modelling approach for predicting daily mean PM10 concentrations using meteorological and traffic variables, providing a computationally efficient method for air quality forecasting.
Authors

G.W. Fuller

D.C. Carslaw

H.W. Lodge

Published

January 1, 2002

An empirical approach for the prediction of daily mean PM10 concentrations

G.W. Fuller, D.C. Carslaw, H.W. Lodge

Atmospheric Environment, 2002

An empirical model is devised to predict concentrations of PM10 at background and roadside locations in London. Factors to calculate primary PM10 and PM2.5 concentrations are derived from annual mean NOx, PM2.5 and PM10 measurements across London and south-east England. These factors are used to calculate daily means for the primary and non-primary PM10 fractions for the London area. The model provides accurate predictions of daily mean PM10 concentrations and EU Directive limit values across a range of site types from kerbside to rural, offering a practical and computationally efficient method for air quality forecasting.