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Land use regression modelling estimating nitrogen oxides exposure in industrial south Durban, South Africa.
Muttoo, Sheena Ramsay, Lisa Brunekreef, Bert Beelen, Rob Meliefste, Kees Naidoo, Rajen N
Muttoo, Sheena
Ramsay, Lisa
Brunekreef, Bert
Beelen, Rob
Meliefste, Kees
Naidoo, Rajen N
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Series / Report no.
Open Access
Type
Article
Language
en
Date of publication
2018-01-01
Year of publication
Research Projects
Organizational Units
Journal Issue
Title
Land use regression modelling estimating nitrogen oxides exposure in industrial south Durban, South Africa.
Translated Title
Published in
Sci Total Environ 2017, 610-611:1439-447
Abstract
The South Durban (SD) area of Durban, South Africa, has a history of air pollution issues due to the juxtaposition of low-income communities with industrial areas. This study used measurements of oxides of nitrogen (NOx) to develop a land use regression (LUR) model to explain the spatial variation of air pollution concentrations in this area.