A site-optimised multi-scale GIS based land use regression model for simulating local scale patterns in air pollution.
GIS
IDW and OK interpolations
Multi-scale LUR model
Nitrogen dioxide
Universal kriging
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:
01 Oct 2019
01 Oct 2019
Historique:
received:
12
03
2019
revised:
06
05
2019
accepted:
27
05
2019
pubmed:
8
6
2019
medline:
8
6
2019
entrez:
8
6
2019
Statut:
ppublish
Résumé
Standard Land Use Regression (LUR) models rely on one universal equation for the entire city or study area. Since this approach cannot represent the heterogeneous controls on pollutant dispersion in central, urban and suburban areas effectively the models are not transferable. Further, if different land use types are not adequately sampled in the measurement campaign, model estimates of local-scale pollutant concentrations may be poor. In this study, this deficiency is overcome with a site-optimised multi-scale GIS based LUR modelling approach developed. This approach is used to simulate nitrogen dioxide (NO
Identifiants
pubmed: 31174113
pii: S0048-9697(19)32461-1
doi: 10.1016/j.scitotenv.2019.05.408
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
134-149Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.