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Spatial and Temporal Variation of PM(10) from Industrial Point Sources in a Rural Area in Limpopo, South Africa

Air pollution from industrial point sources accounts for a large proportion of air pollution issues affecting many communities around the world. However, emissions from these sources are technically controllable by putting in place abatement technologies with feasible and stringent regulatory condit...

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Autores principales: Tshehla, Cheledi E., Wright, Caradee Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765922/
https://www.ncbi.nlm.nih.gov/pubmed/31533322
http://dx.doi.org/10.3390/ijerph16183455
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author Tshehla, Cheledi E.
Wright, Caradee Y.
author_facet Tshehla, Cheledi E.
Wright, Caradee Y.
author_sort Tshehla, Cheledi E.
collection PubMed
description Air pollution from industrial point sources accounts for a large proportion of air pollution issues affecting many communities around the world. However, emissions from these sources are technically controllable by putting in place abatement technologies with feasible and stringent regulatory conditions in the operation licenses. Pollution from other sources such as soil erosion, forest fires, road dust, and biomass burning, are subject to several unpredictable natural or economic factors. In this study, findings from dispersion modelling and spatial analysis of pollution were presented to evaluate the potential impacts of PM(10) concentrations from point sources in the Greater Tubatse Municipality of Limpopo, South Africa. The Air Pollution Model (TAPM) was used to model nested horizontal grids down to 10 km for meteorology and 4 km resolution for air pollution was used for simulation of PM(10). An analysis of annual and seasonal variations of PM(10) concentrations from point sources was undertaken to demonstrate their impact on the environment and the surrounding communities based on 2016 emissions data. A simple Kriging method was used to generate interpolation surfaces for PM(10) concentrations from industrial sources with the purpose of identifying their areas of impact. The results suggest that valley wind channeling is responsible for the distribution of pollutants in a complex terrain. The results revealed that PM(10) concentrations were higher closer to the sources during the day and distributed over a wide area during the night.
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spelling pubmed-67659222019-09-30 Spatial and Temporal Variation of PM(10) from Industrial Point Sources in a Rural Area in Limpopo, South Africa Tshehla, Cheledi E. Wright, Caradee Y. Int J Environ Res Public Health Article Air pollution from industrial point sources accounts for a large proportion of air pollution issues affecting many communities around the world. However, emissions from these sources are technically controllable by putting in place abatement technologies with feasible and stringent regulatory conditions in the operation licenses. Pollution from other sources such as soil erosion, forest fires, road dust, and biomass burning, are subject to several unpredictable natural or economic factors. In this study, findings from dispersion modelling and spatial analysis of pollution were presented to evaluate the potential impacts of PM(10) concentrations from point sources in the Greater Tubatse Municipality of Limpopo, South Africa. The Air Pollution Model (TAPM) was used to model nested horizontal grids down to 10 km for meteorology and 4 km resolution for air pollution was used for simulation of PM(10). An analysis of annual and seasonal variations of PM(10) concentrations from point sources was undertaken to demonstrate their impact on the environment and the surrounding communities based on 2016 emissions data. A simple Kriging method was used to generate interpolation surfaces for PM(10) concentrations from industrial sources with the purpose of identifying their areas of impact. The results suggest that valley wind channeling is responsible for the distribution of pollutants in a complex terrain. The results revealed that PM(10) concentrations were higher closer to the sources during the day and distributed over a wide area during the night. MDPI 2019-09-17 2019-09 /pmc/articles/PMC6765922/ /pubmed/31533322 http://dx.doi.org/10.3390/ijerph16183455 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tshehla, Cheledi E.
Wright, Caradee Y.
Spatial and Temporal Variation of PM(10) from Industrial Point Sources in a Rural Area in Limpopo, South Africa
title Spatial and Temporal Variation of PM(10) from Industrial Point Sources in a Rural Area in Limpopo, South Africa
title_full Spatial and Temporal Variation of PM(10) from Industrial Point Sources in a Rural Area in Limpopo, South Africa
title_fullStr Spatial and Temporal Variation of PM(10) from Industrial Point Sources in a Rural Area in Limpopo, South Africa
title_full_unstemmed Spatial and Temporal Variation of PM(10) from Industrial Point Sources in a Rural Area in Limpopo, South Africa
title_short Spatial and Temporal Variation of PM(10) from Industrial Point Sources in a Rural Area in Limpopo, South Africa
title_sort spatial and temporal variation of pm(10) from industrial point sources in a rural area in limpopo, south africa
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765922/
https://www.ncbi.nlm.nih.gov/pubmed/31533322
http://dx.doi.org/10.3390/ijerph16183455
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