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

Cheledi E. Tshehla and Caradee Y. Wright
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Cheledi E. Tshehla: Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria 0002, South Africa
Caradee Y. Wright: Environment and Health Research Unit, South African Medical Research Council, Pretoria 0084, South Africa

IJERPH, 2019, vol. 16, issue 18, 1-14

Abstract: 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.

Keywords: air pollution; point sources; population distribution; particulate matter; TAPM (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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