A hybrid air pollution / land use regression model for predicting air pollution concentrations in Durban, South Africa-Reference-Cited by-同舟云学术

A hybrid air pollution / land use regression model for predicting air pollution concentrations in Durban, South Africa

Published:2021-04 Issue: Volume:274 Page:116513
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Tularam Hasheel,Ramsay Lisa F.,Muttoo Sheena,Brunekreef Bert,Meliefste Kees,de Hoogh Kees^ORCID,Naidoo Rajen N.^ORCID

Funder

National Research Foundation

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

Reference44 articles.

1. The use of wind fields in a land use regression model to predict air pollution concentrations for health exposure studies;Arain;Atmos. Environ.,2007

2. A method for estimating urban background concentrations in support of hybrid air pollution modeling for environmental health studies;Arunachalam,2014

3. Effect of the number of measurement sites on land use regression models in estimating local air pollution;Basagaña;Atmos. Environ.,2012

4. Estimated long-term outdoor air pollution concentrations in a cohort study;Beelen;Atmos. Environ.,2007

5. Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe–The ESCAPE project;Beelen;Atmos. Environ.,2013

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