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Measurements of nox and development of land use regression models in an east-African city

Abera, Asmamaw ; Malmqvist, Ebba LU orcid ; Mandakh, Yumjirmaa LU ; Flanagan, Erin LU orcid ; Jerrett, Michael ; Gebrie, Geremew Sahilu ; Bayih, Abebe Genetu ; Aseffa, Abraham ; Isaxon, Christina LU and Mattisson, Kristoffer LU orcid (2021) In Atmosphere 12(4).
Abstract

Air pollution causes premature mortality and morbidity globally, but these adverse health effects occur over proportionately in low-and middle-income countries. Lack of both air pollution data and knowledge of its spatial distribution in African countries have been suggested to lead to an underestimation of health effects from air pollution. This study aims to measure nitrogen oxides (NOx), as well as nitrogen dioxide (NO2), to develop Land Use Regression (LUR) models in the city of Adama, Ethiopia. NOx and NO2 was measured at over 40 sites during six days in both the wet and dry seasons. Throughout the city, measured mean levels of NOx and NO2 were 29.0 µg/m3 and 13.1 µg/m3, respectively. The developed LUR models... (More)

Air pollution causes premature mortality and morbidity globally, but these adverse health effects occur over proportionately in low-and middle-income countries. Lack of both air pollution data and knowledge of its spatial distribution in African countries have been suggested to lead to an underestimation of health effects from air pollution. This study aims to measure nitrogen oxides (NOx), as well as nitrogen dioxide (NO2), to develop Land Use Regression (LUR) models in the city of Adama, Ethiopia. NOx and NO2 was measured at over 40 sites during six days in both the wet and dry seasons. Throughout the city, measured mean levels of NOx and NO2 were 29.0 µg/m3 and 13.1 µg/m3, respectively. The developed LUR models explained 68% of the NOx variances and 75% of the NO2. Both models included similar geographical predictor variables (related to roads, industries, and transportation administration areas) as those included in prior LUR models. The models were validated by using leave-one-out cross-validation and tested for spatial autocorrelation and multicollinearity. The performance of the models was good, and they are feasible to use to predict variance in annual average NOx and NO2 concentrations. The models developed will be used in future epidemiological and health impact assessment studies. Such studies may potentially support mitigation action and improve public health.

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author
; ; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Adama, Africa, Air pollution, Global health, LUR, Urban health
in
Atmosphere
volume
12
issue
4
article number
519
publisher
MDPI AG
external identifiers
  • scopus:85105204068
ISSN
2073-4433
DOI
10.3390/atmos12040519
language
English
LU publication?
yes
id
c26d48e7-abba-4da3-be10-12d7f07ae72b
date added to LUP
2021-05-27 15:38:01
date last changed
2023-11-08 14:35:39
@article{c26d48e7-abba-4da3-be10-12d7f07ae72b,
  abstract     = {{<p>Air pollution causes premature mortality and morbidity globally, but these adverse health effects occur over proportionately in low-and middle-income countries. Lack of both air pollution data and knowledge of its spatial distribution in African countries have been suggested to lead to an underestimation of health effects from air pollution. This study aims to measure nitrogen oxides (NOx), as well as nitrogen dioxide (NO2), to develop Land Use Regression (LUR) models in the city of Adama, Ethiopia. NOx and NO2 was measured at over 40 sites during six days in both the wet and dry seasons. Throughout the city, measured mean levels of NOx and NO2 were 29.0 µg/m<sup>3</sup> and 13.1 µg/m<sup>3</sup>, respectively. The developed LUR models explained 68% of the NOx variances and 75% of the NO2. Both models included similar geographical predictor variables (related to roads, industries, and transportation administration areas) as those included in prior LUR models. The models were validated by using leave-one-out cross-validation and tested for spatial autocorrelation and multicollinearity. The performance of the models was good, and they are feasible to use to predict variance in annual average NOx and NO2 concentrations. The models developed will be used in future epidemiological and health impact assessment studies. Such studies may potentially support mitigation action and improve public health.</p>}},
  author       = {{Abera, Asmamaw and Malmqvist, Ebba and Mandakh, Yumjirmaa and Flanagan, Erin and Jerrett, Michael and Gebrie, Geremew Sahilu and Bayih, Abebe Genetu and Aseffa, Abraham and Isaxon, Christina and Mattisson, Kristoffer}},
  issn         = {{2073-4433}},
  keywords     = {{Adama; Africa; Air pollution; Global health; LUR; Urban health}},
  language     = {{eng}},
  month        = {{04}},
  number       = {{4}},
  publisher    = {{MDPI AG}},
  series       = {{Atmosphere}},
  title        = {{Measurements of nox and development of land use regression models in an east-African city}},
  url          = {{http://dx.doi.org/10.3390/atmos12040519}},
  doi          = {{10.3390/atmos12040519}},
  volume       = {{12}},
  year         = {{2021}},
}