Assessing the transferability of landuse regression models for ultrafine particles across two Canadian cities.
Air pollution
Land use regression
Transferability
Ultrafine particles
Journal
The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500
Informations de publication
Date de publication:
20 Apr 2019
20 Apr 2019
Historique:
received:
24
09
2018
revised:
03
01
2019
accepted:
11
01
2019
pubmed:
1
2
2019
medline:
1
2
2019
entrez:
1
2
2019
Statut:
ppublish
Résumé
Land use regression (LUR) models have been increasingly used to predict intra-city variations in the concentrations of different air pollutants. However, limited research assessing the transferability of these models between cities has been published to date. In this study, LUR models were generated for Ultra-Fine Particles (UFP) (<0.1 um) using data collected from mobile monitoring campaigns in two Canadian cities, Montreal and Toronto. City-specific models were first generated for each city before the models were transferred to the second city with and without recalibration. The calibrated transferred models showed only a slight decrease in performance, with the coefficient of determination (R
Identifiants
pubmed: 30703730
pii: S0048-9697(19)30140-8
doi: 10.1016/j.scitotenv.2019.01.123
pii:
doi:
Types de publication
Journal Article
Langues
eng
Pagination
722-734Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.