Modelling PM10 aerosol data from the Qalabotjha low-smoke fuels macro-scale experiment in South Africa

Show simple item record Engelbrecht, JP en_US Swanepoel, L en_US Zunckel, M en_US Chow, JC en_US Watson, JG en_US Egami, RT en_US 2007-01-22T06:26:51Z en_US 2007-06-07T10:07:35Z 2007-01-22T06:26:51Z en_US 2007-06-07T10:07:35Z 2000-03-30 en_US
dc.identifier.citation Engelbrecht, JP, et al. 2000. Modelling PM10 aerosol data from the Qalabotjha low-smoke fuels macro-scale experiment in South Africa. Ecological Modelling, vol. 127, 03 February, pp 235-244 en_US
dc.identifier.issn 0304-3800 en_US
dc.identifier.uri en_US
dc.description.abstract D-grade (i.e. poor quality) coal is widely used for household cooking and heating purposes by lower-income urban communities in South Africa. The smoke from the combustion of coal has had a severe impact on the health of society in the townships and cities. To alleviate this escalating problem, the Department of Minerals and Energy of South Africa evaluated low-smoke fuels as an alternative source of energy. The technical and social implications of such fuels were investigated in the course of the Qalabotjha Low-Smoke Fuels Macro-Scale Experiment. Three low-smoke fuels (Chartech, African Fine Carbon [AFC], and Flame Africa) were tested in Qalabotjha during the winter of 1997. This paper examines diurnal variations of PM10 (particles with aerodynamic diameters less than 10 mu m) concentrations at the clinic site in Qalabotjha. Both the fuel type and the wind were found to have an effect on the air particulate concentrations. This paper demonstrates how continuous PM10 data together with wind measurements can be modelled. Pronounced dual-peak diurnal variations of PM10 concentrations were found in winter's stable atmosphere with 30-min PM10 levels often exceeding 1000 mu g/m(3) around 07:00-08:00 h in the morning and around 18:00 h in the evening. PM10 diurnal variations coincided with surface radiation inversions and residential cooking activity, suggesting that human exposure is confined to a very localized environment. On windy days, very low PM10 concentrations with very little to no diurnal variations were found. Much of the locally generated cooking emissions may have been diluted by dispersion and transport. An exponential model that allowed for all measured particulate concentrations to be re-calculated to 'zero wind' values was created to estimate the impact of D-grade coal combustion. From analysis of variance (ANOVA) calculations on the 'zero wind' concentrations, it is concluded that the combustion of low-smoke fuels would make a significant improvement to the air quality in Qalabotjha. en_US
dc.format.extent 295208 bytes en_US
dc.format.mimetype application/pdf en_US
dc.language.iso en en_US
dc.publisher Elsevier Science BV en_US
dc.rights Copyright: 2000 Elsevier Science BV en_US
dc.subject Low smoke fuels en_US
dc.subject Qalabotjha en_US
dc.subject PM10 modelling en_US
dc.subject Poor quality coal en_US
dc.subject Environmental studies en_US
dc.subject D-grade coal en_US
dc.title Modelling PM10 aerosol data from the Qalabotjha low-smoke fuels macro-scale experiment in South Africa en_US
dc.type Article en_US

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