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A comparison of strategies for estimation of ultrafine particle number concentrations in urban air pollution monitoring networks

Reggente, M, Peters, J, Theunis, J, Van Poppel, M, Rademaker, M, De Baets, B and Kumar, P (2015) A comparison of strategies for estimation of ultrafine particle number concentrations in urban air pollution monitoring networks Environmental Pollution, 199. pp. 209-218.

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Abstract

Abstract We propose three estimation strategies (local, remote and mixed) for ultrafine particles (UFP) at three sites in an urban air pollution monitoring network. Estimates are obtained through Gaussian process regression based on concentrations of gaseous pollutants (NOx, O3, CO) and UFP. As local strategy, we use local measurements of gaseous pollutants (local covariates) to estimate UFP at the same site. As remote strategy, we use measurements of gaseous pollutants and UFP from two independent sites (remote covariates) to estimate UFP at a third site. As mixed strategy, we use local and remote covariates to estimate UFP. The results suggest: UFP can be estimated with good accuracy based on NOx measurements at the same location; it is possible to estimate UFP at one location based on measurements of NOx or UFP at two remote locations; the addition of remote UFP to local NOx, O3 or CO measurements improves models' performance.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Civil and Environmental Engineering
Authors :
AuthorsEmailORCID
Reggente, MUNSPECIFIEDUNSPECIFIED
Peters, JUNSPECIFIEDUNSPECIFIED
Theunis, JUNSPECIFIEDUNSPECIFIED
Van Poppel, MUNSPECIFIEDUNSPECIFIED
Rademaker, MUNSPECIFIEDUNSPECIFIED
De Baets, BUNSPECIFIEDUNSPECIFIED
Kumar, PUNSPECIFIEDUNSPECIFIED
Date : April 2015
Identification Number : 10.1016/j.envpol.2015.01.034
Uncontrolled Keywords : Ultrafine particles estimation, Urban air pollution, Pollution monitoring network, Gaussian process regression, Statistical modelling
Related URLs :
Additional Information : NOTICE: this is the author’s version of a work that was accepted for publication in Environmental Pollution. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Environmental Pollution, 199, April 2015, DOI 10.1016/j.envpol.2015.01.034.
Depositing User : Symplectic Elements
Date Deposited : 03 Mar 2015 10:57
Last Modified : 03 Mar 2015 14:33
URI: http://epubs.surrey.ac.uk/id/eprint/807236

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