Assessing the impact of Eskom power plant emissions on ambient air quality over KwaZamokuhle

Coal-fired power plants are considered a major source of criteria air pollutants. The existence of such activities close to densely populated areas has an impact on human health and more generally on the environment. The impact of a pollutant typically depends on its residence time and the existence...

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Main Authors: Prince Chidhindi, Monray D Belelie, Roelof P Burger, Gabi Mkhatshwa, Stuart J Piketh
Format: Article
Language:English
Published: National Association for Clean Air 2019-06-01
Series:Clean Air Journal
Subjects:
Online Access:https://journals.assaf.org.za/index.php/caj/article/view/6896
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author Prince Chidhindi
Monray D Belelie
Roelof P Burger
Gabi Mkhatshwa
Stuart J Piketh
author_facet Prince Chidhindi
Monray D Belelie
Roelof P Burger
Gabi Mkhatshwa
Stuart J Piketh
author_sort Prince Chidhindi
collection DOAJ
description Coal-fired power plants are considered a major source of criteria air pollutants. The existence of such activities close to densely populated areas has an impact on human health and more generally on the environment. The impact of a pollutant typically depends on its residence time and the existence of background concentration levels. This study evaluates the dispersion of PM2.5, SO2 and NOX emissions from Eskom power plants (Arnot, Hendrina, and Komati) located close to KwaZamokuhle Township. AERMOD was used to assess the contribution of each plant to the air quality of the township. This steady-state dispersion model was used to simulate surface concentrations (1-hour, 24-hour and annual average concentrations) on a 50km domain for 2015-2017. The modelled results together with data obtained from Eskom’s KwaZamokuhle monitoring site were used to estimate the extent to which these power plants contribute to the ambient air quality of KwaZamokuhle Township. The results confirm that the power plants do contribute to concentrations of PM2.5, SO2, and NOx in the ambient air of the township. However, based on a comparison between the modelled and monitored data, it was inferred that power plants are not the only significant source of these criteria pollutants. Evidence from temporal variations in the monitored data shows that domestic burning is likely the major contributor since the variability is more closely associated with burning habits. It is therefore likely that existing regulatory strategies that focus mostly on the industrial sector may not be successful in improving ambient air quality in low-income settlements like KwaZamokuhle.
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spelling doaj.art-b54187e102ed4f8290a4ce078dcd9fae2022-12-21T20:56:15ZengNational Association for Clean AirClean Air Journal2410-972X1017-17032019-06-0129110.17159/2410-972X/2019/v29n1a2Assessing the impact of Eskom power plant emissions on ambient air quality over KwaZamokuhlePrince Chidhindi0Monray D Belelie1Roelof P Burger2Gabi Mkhatshwa3Stuart J Piketh4Unit for Environmental Management and Science, North-West University, Potchefstroom, South AfricaUnit for Environmental Management and Science, North-West University, Potchefstroom, South AfricaUnit for Environmental Management and Science, North-West University, Potchefstroom, South AfricaEskom Research, Testing and Development, Rosherville, South AfricaUnit for Environmental Management and Science, North-West University, Potchefstroom, South AfricaCoal-fired power plants are considered a major source of criteria air pollutants. The existence of such activities close to densely populated areas has an impact on human health and more generally on the environment. The impact of a pollutant typically depends on its residence time and the existence of background concentration levels. This study evaluates the dispersion of PM2.5, SO2 and NOX emissions from Eskom power plants (Arnot, Hendrina, and Komati) located close to KwaZamokuhle Township. AERMOD was used to assess the contribution of each plant to the air quality of the township. This steady-state dispersion model was used to simulate surface concentrations (1-hour, 24-hour and annual average concentrations) on a 50km domain for 2015-2017. The modelled results together with data obtained from Eskom’s KwaZamokuhle monitoring site were used to estimate the extent to which these power plants contribute to the ambient air quality of KwaZamokuhle Township. The results confirm that the power plants do contribute to concentrations of PM2.5, SO2, and NOx in the ambient air of the township. However, based on a comparison between the modelled and monitored data, it was inferred that power plants are not the only significant source of these criteria pollutants. Evidence from temporal variations in the monitored data shows that domestic burning is likely the major contributor since the variability is more closely associated with burning habits. It is therefore likely that existing regulatory strategies that focus mostly on the industrial sector may not be successful in improving ambient air quality in low-income settlements like KwaZamokuhle.https://journals.assaf.org.za/index.php/caj/article/view/6896Coal-fired power plantsemissionsAERMODatmospheric dispersion modellingPM2.5SO2
spellingShingle Prince Chidhindi
Monray D Belelie
Roelof P Burger
Gabi Mkhatshwa
Stuart J Piketh
Assessing the impact of Eskom power plant emissions on ambient air quality over KwaZamokuhle
Clean Air Journal
Coal-fired power plants
emissions
AERMOD
atmospheric dispersion modelling
PM2.5
SO2
title Assessing the impact of Eskom power plant emissions on ambient air quality over KwaZamokuhle
title_full Assessing the impact of Eskom power plant emissions on ambient air quality over KwaZamokuhle
title_fullStr Assessing the impact of Eskom power plant emissions on ambient air quality over KwaZamokuhle
title_full_unstemmed Assessing the impact of Eskom power plant emissions on ambient air quality over KwaZamokuhle
title_short Assessing the impact of Eskom power plant emissions on ambient air quality over KwaZamokuhle
title_sort assessing the impact of eskom power plant emissions on ambient air quality over kwazamokuhle
topic Coal-fired power plants
emissions
AERMOD
atmospheric dispersion modelling
PM2.5
SO2
url https://journals.assaf.org.za/index.php/caj/article/view/6896
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