Source apportionment of PM2.5 in urban areas using multiple linear regression as an inverse modelling technique
by Bruce Rolstad Denby
International Journal of Environment and Pollution (IJEP), Vol. 47, No. 1/2/3/4, 2011

Abstract: One method to assess the source contribution of particulate matter to urban air quality is through inverse modelling where emissions are estimated using dispersion models and monitoring data. In this paper, a straightforward inverse modelling method, using Multiple Linear Regression, is described and applied to the urban area of Oslo for PM2.5. The results of the inverse modelling method are compared with independent receptor modelling. The method shows that the model underestimates the source contribution from suspended road dust by a factor of 7-10 and overestimates the source contribution from wood burning by a factor of 2-3.

Online publication date: Thu, 30-Apr-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Environment and Pollution (IJEP):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email