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dc.contributor.authorMuyemeki, Luckson
dc.contributor.authorBurger, Roelof
dc.contributor.authorPiketh, Stuart J.
dc.date.accessioned2020-09-03T10:35:48Z
dc.date.available2020-09-03T10:35:48Z
dc.date.issued2020
dc.identifier.citationMuyemeki, L. et al. 2020. Evaluating the potential of remote sensing imagery in mapping ground-level fine particulate matter (PM2.5) for the Vaal Triangle Priority Area. Clean air journal, 30(1). [https://doi.org/10.17159/caj/2020/30/1.8066]en_US
dc.identifier.issn1017-1703
dc.identifier.urihttp://hdl.handle.net/10394/35701
dc.identifier.urihttps://www.cleanairjournal.org.za/article/view/8066/10203
dc.identifier.urihttps://doi.org/10.17159/caj/2020/30/1.8066
dc.description.abstractThe quality of air breathed in South Africa is of great concern, especially in industrialised regions where PM2.5 concentrations are high. Long term exposure to PM2.5 is associated with serious adverse health impacts. Traditionally, PM2.5 is monitored by a network of ground-based instruments. However, the coverage of monitoring networks in South Africa is not dense enough to fully capture the spatial variability of PM2.5 concentrations. This study explored whether satellite remote sensing could offer a viable alternative to ground-based monitoring. Using an eight-year record (2009 to 2016) of satellite retrievals (MODIS, MISR and SeaWIFS) for PM2.5 concentrations, spatial variations and temporal trends for PM2.5 are evaluated for the Vaal Triangle Airshed Priority Area (VTAPA). Results are compared to corresponding measurements from the VTAPA surface monitoring stations. High PM2.5 concentrations were clustered around the centre and towards the south-west of the VTAPA over the highly industrialised cities of Vanderbijlpark and Sasolburg. Satellite retrievals tended to overestimate PM2.5 concentrations. Overall, there was a poor spatial agreement between satellite-retrieved PM2.5 estimates and ground-level PM2.5 measurements. Root mean square error values ranged from 6 to 11 µg/m3 and from -0.89 to 0.32 for the correlation coefficient. For satellite remote sensing to be effectively exploited for air quality assessments in the VTAPA and elsewhere, further research to improve the precision and accuracy of satellite-retrieved PM2.5 is requireden_US
dc.language.isoenen_US
dc.publisherNACAen_US
dc.subjectSatellite retrievalsen_US
dc.subjectGround-based dataen_US
dc.subjectPM2.5 concentrationen_US
dc.subjectSpatial variationsen_US
dc.titleEvaluating the potential of remote sensing imagery in mapping ground-level fine particulate matter (PM2.5) for the Vaal Triangle Priority Areaen_US
dc.typeArticleen_US
dc.contributor.researchID24062219 - Burger, Roelof Petrus
dc.contributor.researchID18002080 - Piketh, Stuart John
dc.contributor.researchID24707767 - Muyemeki, Luckson


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