Development of land use regression, dispersion, and hybrid models for prediction of outdoor air pollution exposure in Barcelona.

Air pollution Epidemiology Exposure assessment Spatiotemporal models

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 2024
Historique:
received: 27 06 2024
revised: 24 09 2024
accepted: 28 09 2024
medline: 4 10 2024
pubmed: 4 10 2024
entrez: 3 10 2024
Statut: aheadofprint

Résumé

Air pollution is the leading environmental risk factor for health. Assessing outdoor air pollution exposure with detailed spatial and temporal variability in urban areas is crucial for evaluating its health effects. We developed and compared Land Use Regression (LUR), dispersion (DM), and hybrid (HM) models to estimate outdoor concentrations for NO Two monitoring campaigns were conducted. In the first, NO Models showed moderate to good performance. LUR exhibited R Our models varied substantially, with some models performing better in validation samples (NO

Sections du résumé

BACKGROUND BACKGROUND
Air pollution is the leading environmental risk factor for health. Assessing outdoor air pollution exposure with detailed spatial and temporal variability in urban areas is crucial for evaluating its health effects.
AIM OBJECTIVE
We developed and compared Land Use Regression (LUR), dispersion (DM), and hybrid (HM) models to estimate outdoor concentrations for NO
METHODS METHODS
Two monitoring campaigns were conducted. In the first, NO
RESULTS RESULTS
Models showed moderate to good performance. LUR exhibited R
CONCLUSIONS CONCLUSIONS
Our models varied substantially, with some models performing better in validation samples (NO

Identifiants

DOI: 10.1016/j.scitotenv.2024.176632 PMID: 39362534
pubmed: 39362534
pii: S0048-9697(24)06788-3
doi: 10.1016/j.scitotenv.2024.176632
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

176632

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Auteurs

Alan Domínguez (A)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

Payam Dadvand (P)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. Electronic address: payam.dadvand@isglobal.org.

Marta Cirach (M)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

Gustavo Arevalo (G)

Barcelona Regional, Barcelona, Spain.

Lluís Barril (L)

Barcelona Regional, Barcelona, Spain.

Maria Foraster (M)

Blanquerna School of Health Science, Universitat Ramon Llull (URL), Barcelona, Spain.

Mireia Gascon (M)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Unitat de Suport a la Recerca de la Catalunya Central, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Manresa, Spain.

Bruno Raimbault (B)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.

Toni Galmés (T)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.

Laura Goméz-Herrera (L)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

Cecilia Persavento (C)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

Karl Samuelsson (K)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Department of Building Engineering, Energy Systems and Sustainability Science, Faculty of Engineering and Sustainability Science, University of Gävle, Gävle, Sweden.

Jose Lao (J)

Barcelona Regional, Barcelona, Spain.

Teresa Moreno (T)

Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain.

Xavier Querol (X)

Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain.

Michael Jerrett (M)

Department of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, USA.

Joel Schwartz (J)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Cathryn Tonne (C)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

Mark Nieuwenhuijsen (M)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

Jordi Sunyer (J)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

Xavier Basagaña (X)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

Ioar Rivas (I)

Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

Classifications MeSH