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Development and performance evaluation of new AirGIS – A GIS based air pollution and human exposure modelling system

Khan, Jibran, Kakosimos, Kakosimos, Raaschou-Nielsen, Ole, Brandt, Jørgen, Jensen, Steen Solvang, Ellermann, Thomas and Ketzel, Mathias (2018) Development and performance evaluation of new AirGIS – A GIS based air pollution and human exposure modelling system Atmospheric Environment, 198. pp. 102-121.

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AirGIS, a Geographic Information Systems (GIS) based air pollution and human exposure modelling system, is routinely used in conjunction with the Operational Street Pollution Model (OSPM®), across the globe, to assess local- or street-scale air pollution. We developed a substantially revised version of AirGIS (hereafter, new AirGIS) as a new modelling system in open-source GIS i.e. PostgreSQL software with its spatial extension PostGIS to (1) optimize the model performance enabling model calculations for a large number of sites over a large geographical area, with limited computing resources (2) replace the outdated programming language Avenue (3) become independent of commercial GIS software. This paper, therefore, aims to describe the overall structure of new AirGIS modelling system together with its strengths and limitations. Furthermore, the new AirGIS has been evaluated against various measured datasets of ambient air pollution (NOx, NO2, PM10 and PM2.5). In terms of reproducing temporal variation (single location, time series of concentrations e.g. annual, daily etc.) of air pollution, the new model achieved correlations (R) in the range 0.45–0.96. While, in terms of reproducing the spatial variation (several locations, single time interval), the new AirGIS achieved correlations in the range 0.32–0.92. The new model, therefore, can be used for both short- and long-term air pollution exposure assessments to facilitate health related studies. However, the present evaluation of the new modelling system also revealed that the new AirGIS significantly overestimated the observed concentrations for two out of four datasets. The possible reasons for these errors and future directions to reducing the bias in the new model output have been discussed.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Civil and Environmental Engineering
Authors :
Khan, Jibran
Kakosimos, Kakosimos
Raaschou-Nielsen, Ole
Brandt, Jørgen
Jensen, Steen Solvang
Ellermann, Thomas
Date : 24 October 2018
DOI : 10.1016/j.atmosenv.2018.10.036
Copyright Disclaimer : © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
Uncontrolled Keywords : Urban air pollution; Human exposure modelling; Model evaluation; GIS; PostgreSQL; AirGIS; OSPM
Depositing User : Clive Harris
Date Deposited : 25 Oct 2018 12:39
Last Modified : 25 Oct 2019 02:08

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