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Article

Measurements of NOx and Development of Land Use Regression Models in an East-African City

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Ethiopia Institute of Water Resources, Addis Ababa University, Addis Ababa P.O. Box 150461, Ethiopia
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Division of Occupational and Environmental Medicine, Lund University, 22362 Lund, Sweden
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Department of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California, Los Angeles, CA 90095-1772, USA
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School of Civil and Environmental Engineering, Addis Ababa Institute of Technology, Addis Ababa University, Addis Ababa P.O. Box 385, Ethiopia
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Armauer Hansen Research Institute AHRI, Addis Ababa P.O. Box 1005, Ethiopia
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Institute of Design Sciences, Lund University, 22362 Lund, Sweden
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Author to whom correspondence should be addressed.
Academic Editors: Samuel Yutong Cai, Andrés Alastuey Urós and Daniele Contini
Atmosphere 2021, 12(4), 519; https://doi.org/10.3390/atmos12040519
Received: 9 March 2021 / Revised: 6 April 2021 / Accepted: 16 April 2021 / Published: 19 April 2021
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. View Full-Text
Keywords: urban health; global health; Adama; Africa; air pollution; LUR urban health; global health; Adama; Africa; air pollution; LUR
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MDPI and ACS Style

Abera, A.; Malmqvist, E.; Mandakh, Y.; Flanagan, E.; Jerrett, M.; Gebrie, G.S.; Bayih, A.G.; Aseffa, A.; Isaxon, C.; Mattisson, K. Measurements of NOx and Development of Land Use Regression Models in an East-African City. Atmosphere 2021, 12, 519. https://doi.org/10.3390/atmos12040519

AMA Style

Abera A, Malmqvist E, Mandakh Y, Flanagan E, Jerrett M, Gebrie GS, Bayih AG, Aseffa A, Isaxon C, Mattisson K. Measurements of NOx and Development of Land Use Regression Models in an East-African City. Atmosphere. 2021; 12(4):519. https://doi.org/10.3390/atmos12040519

Chicago/Turabian Style

Abera, Asmamaw, Ebba Malmqvist, Yumjirmaa Mandakh, Erin Flanagan, Michael Jerrett, Geremew S. Gebrie, Abebe G. Bayih, Abraham Aseffa, Christina Isaxon, and Kristoffer Mattisson. 2021. "Measurements of NOx and Development of Land Use Regression Models in an East-African City" Atmosphere 12, no. 4: 519. https://doi.org/10.3390/atmos12040519

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