Academic literature on the topic 'Air – Pollution – South Africa'
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Journal articles on the topic "Air – Pollution – South Africa"
Wells, B. "SOUTH AFRICA, HUMPTY DUMPTY AND AIR POLLUTION." Clean Air Journal 7, no. 6 (December 3, 1988): 31–32. http://dx.doi.org/10.17159/caj/1988/7/6.7211.
Full textBarnes, Brendon, Angela Mathee, Elizabeth Thomas, and Nigel Bruce. "Household energy, indoor air pollution and child respiratory health in South Africa." Journal of Energy in Southern Africa 20, no. 1 (February 1, 2009): 4–13. http://dx.doi.org/10.17159/2413-3051/2009/v20i1a3296.
Full textAghedo, A. M., M. G. Schultz, and S. Rast. "The influence of African air pollution on regional and global tropospheric chemistry." Atmospheric Chemistry and Physics Discussions 6, no. 4 (July 4, 2006): 5797–838. http://dx.doi.org/10.5194/acpd-6-5797-2006.
Full textAghedo, A. M., M. G. Schultz, and S. Rast. "The influence of African air pollution on regional and global tropospheric ozone." Atmospheric Chemistry and Physics 7, no. 5 (February 22, 2007): 1193–212. http://dx.doi.org/10.5194/acp-7-1193-2007.
Full textAbiodun, B. J., A. M. Ojumu, S. Jenner, and T. V. Ojumu. "The transport of atmospheric NO<sub>x</sub> and HNO<sub>3</sub> over Cape Town." Atmospheric Chemistry and Physics 14, no. 2 (January 20, 2014): 559–75. http://dx.doi.org/10.5194/acp-14-559-2014.
Full textAucamp, P. J. "Pollution research in the Republic of South Africa." Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie 5, no. 4 (March 18, 1986): 194–99. http://dx.doi.org/10.4102/satnt.v5i4.1002.
Full textEdlund, Karl Kilbo, Felicia Killman, Peter Molnár, Johan Boman, Leo Stockfelt, and Janine Wichmann. "Health Risk Assessment of PM2.5 and PM2.5-Bound Trace Elements in Thohoyandou, South Africa." International Journal of Environmental Research and Public Health 18, no. 3 (February 2, 2021): 1359. http://dx.doi.org/10.3390/ijerph18031359.
Full textTularam, Hasheel, Lisa F. Ramsay, Sheena Muttoo, Bert Brunekreef, Kees Meliefste, Kees de Hoogh, and Rajen N. Naidoo. "A hybrid air pollution / land use regression model for predicting air pollution concentrations in Durban, South Africa." Environmental Pollution 274 (April 2021): 116513. http://dx.doi.org/10.1016/j.envpol.2021.116513.
Full textWichmann, J., and K. V. V. Voyi. "AIR POLLUTION EPIDEMIOLOGICAL STUDIES IN SOUTH AFRICA: NEED FOR FRESHENING UP." Epidemiology 16, no. 5 (September 2005): S20. http://dx.doi.org/10.1097/00001648-200509000-00031.
Full textAbiodun, B. J., A. M. Ojumu, S. Jenner, and T. V. Ojumu. "Transport of atmospheric NO<sub>x</sub> and HNO<sub>3</sub> over Cape Town." Atmospheric Chemistry and Physics Discussions 13, no. 5 (May 3, 2013): 11827–62. http://dx.doi.org/10.5194/acpd-13-11827-2013.
Full textDissertations / Theses on the topic "Air – Pollution – South Africa"
Botha, Amanda Theophila. "Assessment of air pollution impacts on vegetation in South Africa." Diss., Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54495.
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Ramsay, Lisa Frost. "Power and perception : a political ecology of air pollution in Umlazi and Lamontville, South Africa." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609022.
Full textGerson, R. "The environmental effects of air pollution from the energy sector in South Africa." Master's thesis, University of Cape Town, 1992. http://hdl.handle.net/11427/18220.
Full textMadonsela, Benett Siyabonga. "Assessment of environmental exposure to air pollution within four neighbourhoods of the Western Cape, South Africa." Thesis, Cape Peninsula University of Technology, 2019. http://hdl.handle.net/20.500.11838/2825.
Full textBackground: A recent review on the effects of ambient air pollution on human health in sub-Saharan Africa, specifically calls for an urgent need for more epidemiological studies in developing countries due to a lack of data in these countries. Air pollution information on exposure is important for understanding and addressing its public health impact in developing countries. In many African countries, the spatial distribution of air pollutants has not been quantified even though air pollution is a global public health risk. The main goal of the study was to quantify and compare the seasonal spatial variation of household air pollution in the 4 Western Cape neighbourhoods. Methods: Weekly indoor and outdoor measurements of Particulate Matter (PM2.5), Sulphur dioxide (SO2), Ozone (O3), Carbon monoxide (CO) and Nitrogen dioxide (NO2) were conducted at 127 households in four informal settlement areas (Khayelitsha, Marconi-Beam, Masiphumulele and Oudtshoorn) during one month each in summer and winter. PM2.5 measurements were conducted using Mesa Labs GK2.05 (KTL) cyclone with the GilAir Plus Air Sampling Pump, Gases were measured using Passam passive samplers. Statistical analyses were performed using Stata V12. Simple linear regression was used to evaluate the relationship between continuous exposure levels and the respective predictor variables. These include distance to major roads, bus routes, open grills and waste burning sites. Results: The highest average weekly outdoor PM2.5 and NO2 concentrations for summer were recorded in Milnerton (8.76 µg/m3 and 16.32 µg/m3 respectively). However, the highest average concentrations during winter for PM2.5 were recorded in Oudtshoorn (PM2.5: 16.07 µg/m3), whilst the highest NO2, was recorded in Khayelitsha (NO2: 35.69 µg/m3). SO2 levels were consistently low during both seasons. Noordhoek generally recorded the lowest average levels for all pollutants. Winter average weekly concentrations were generally higher than the levels recorded in summer for all pollutants. In a sub-sample of indoor and outdoor measurements, the results were comparable for PM2.5, NO2 and CO. However, the results of Ozone (O3) showed relatively higher (~10 times) outdoor compared to indoor levels. Linear regression modelling results revealed that significant predictors of elevated exposure to PM2.5 were proximity to construction activities and open grills. Analysis demonstrated a clear dose-response relationship with distance, with open grills within 1000m associated with a 0.33 µg/m3 increase in PM2.5 to 6.77 µg/m3 at a distance of 25 meters. Results from the linear regression modelling revealed that significant predictors of exposure to NO2 were proximity to rapid transport bus stops, bus routes, taxi routes and major routes. Distance to rapid transport bus stops demonstrated an increase in NO2 between 0.09 µg/m3 (at 1km) to 2.16 µg/m3 (at 50m) during summer. A similar pattern was observed for taxi routes and bus routes displaying an increase of 6.26 μg/m3and 6.82 μg/m3 respectively within the proximity of 1000 meters.
MAUERBERGER Foundation Scholarship
Witi, Jongikhaya. "Development of a predictive haze index to reflect observed visibility degradation in the city of Cape Town." Thesis, Cape Peninsula University of Technology, 2006. http://hdl.handle.net/20.500.11838/911.
Full textMeasurement and forecasting of visibility is essential in assessing the extent of visibility degradation (haze) due to air pollution in Cape Town. Rapid impairment in visibility over the years forced the City ofCape Town to initiate the Brown Haze I (BH I) study in September 1997. The main objective of the Brown Haze I Study was to determine the contribution of all major pollutant sources to the brown haze, and to determine other factors that contribute to haze formation. However to date no study has attempted to devise quantitative methods to monitor visibility in Cape Town. This study reports on a new method of measuting visibility using Digital Image Processing. An hourly series of time-stamped images of three scenic vistas was recorded over a period of 8 months (20060318 to 20061031) using three co-located Sanyo E-6311xP-H digital cameras equipped with E-50500D 20 to lOOrnrn Variable-focal Auto Iris Lenses. The cameras were orientated in three directions (approximately due west, north and east). These time- stamped images were archived for subsequent digital image processing. The average image intensities of selected areas of each image were calculated using the histogram function of digital image processing software (PhotoshopTM 7.0), to obtain the inherent and apparent contrast ratios. The inherent and apparent contrast measurements were then used to calculate light extinction coefficient (bex') and the visual range (VR).
Okoli, Nwakego Joy. "The slow adoption of telecommuting in South Africa." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2424.
Full textClimate change imposes indisputable burdens on economic development by significantly causing damage to the environment. In the transportation sector, carbon dioxide emissions from vehicles are seen as top environmental pollutants around the world and in South Africa. Despite increasing environmental issues, many people, including business leaders, generally think of environmental issues as disconnected from their everyday business lives and behavioural patterns. The Republic of South Africa as a member of the United Nations Framework Convention on Climate Change (UNFCCC) encourages any practices and processes that will control, reduce or prevent anthropogenic emissions of greenhouse gases. The adoption of telecommuting for travel reduction can impact positively on environmental sustainability by reducing the amount of commuter driving and thus reducing carbon emissions. Telecommuting is an arrangement where an employee works from home or out of office using telecommunication links (internet, email and/or telephone) to reduce commuting to and from the office, enhance productivity in the organisation, and reduce office space requirements. However, despite the well documented benefits of telecommuting, the uptake of telecommuting in South Africa is slow. This study falls under the Green Information Technology research field. The aim of the study is to identify the reasons behind the slow adoption of telecommuting in South African organisations. The study followed embedded multiple-case studies. Qualitative data were collected from nine companies using semi-structured interviews with 19 participants comprising of Information Technology (IT) and Human Resource (HR) managers, telecommuters and non-telecommuters. The companies were selected to be as diverse as possible in the operating sector and both purposive and snowball strategies were used.
Schoeman, Johann Petrus. "Die korrelasie tussen die lugbesoedelingstatus en die lewenskwaliteit van die inwoners van Bayview en die invloed daarvan op hul persepsies." Thesis, Cape Peninsula University of Technology, 2010. http://hdl.handle.net/20.500.11838/790.
Full textAir pollution is a global problem and it can also have a larger impact in developing countries like South-Africa. Mossel Bay was one of the regions in the Western-Cape that was rated to have potentially poor air quality. With above mentioned in mind, the research was done in Bayview. Bayview is a upper income suburb of Mossel-Bay. The suburb is surrounded by industrial activities that increased the possibility of a bad status of the air. This research measured the concentrations of the primary pollutants, SO2, NO2, PM10, O3 en Benzine, as well as the meteorological data for a period of one year as from the 1st October 2008 to the 30th of September 2009. The monitoring was done by using the mobile air quality monitoring station of the Western Cape Department of Environmental Affairs and Development Planning's that was situated in Mossel Bay. The research also correlated with the human aspects of air quality control and the monitoring results. The quality of life of the Bayview residents was measured by using a structured questionnaire. The questionnaire had amongst others, obtained the symptoms of certain air quality related diseases that the 114 respondents have recorded for the responding period of air quality monitoring. Other aspects that were researched were obtaining the social status, exposure, and work exposure and health consciousness of the respondents. Air quality surveys can fail if not put in the context of the perceptions of the affected communities. Therefore the perceptions of the respondents were also tested by a structured questionnaire. Aspects of perceptions that were tested were amongst others, the visual influence of perceptions, exposure, social status and the perception of the hazard. The results of the monitoring station for the period from 1st October 2008 to 30 September 2009, were compared with the proposed standards of the National Environmental Management: Air Quality Act (Act 39 of 2004) South-African National Ambient Air Quality Standards, as well as the SANS 1929 target values for PM10. There were no exceedences of the measured pollutants against the National Air Quality Standards. The results found that the SANS 1929 standards were also not exceeded for SO2, NO2, O' and C6H6. The concentrations of PM10 equaled the SANS standards of 75pg/m3 on a few occasions. However, the SANS 1929 daily target values of 50pg/m3 were exceeded on a few occasions. Overall though, the air quality status of the research area was within the legislative conditions. Twenty six point three percent (26.3% n = 30) of the respondents did not indicate any symptoms of any air quality related illnesses during the study period.
Truluck, Timothy Francis. "Hospital admission patterns of childhood respiratory illness in Cape Town and their association with air pollution and meteorological factors." Master's thesis, University of Cape Town, 1993. http://hdl.handle.net/11427/17402.
Full textThe aims of this study were (a) to examine the profile of hospital admissions for selected respiratory illnesses for two major hospitals in Cape Town, and (b) to analyse the association of such admissions with air pollution indicators and meteorological variables. The first part of the study investigated the admission patterns of coloured and African children under twelve years of age who were diagnosed as suffering from asthma or acute respiratory infections at two major teaching hospitals in Cape Town. Computerized hospital admission records covering the years 1988-1990 from the overnight holding wards of the Red Cross War Memorial Children's Hospital and Tygerberg Hospital were used to determine patterns with respect to diagnosis, gender, race, age and date of admission. During the three year study period, respiratory admissions at both hospitals accounted for 15 078 (47.3%) out of a total of 31 887 admissions. Acute respiratory infections accounted for 63.6% and asthma 37.4 % of these respiratory admissions. Two factors of interest were noted: (1) Considerably more males than females were admitted with both asthma and acute respiratory infections. (2) Asthma admissions to Red Cross Hospital among African children were proportionally much less than those of coloured children when compared to the proportions of admissions for acute respiratory infections. After removal of the seasonal effect, a multiple linear regression model was fitted to the data to determine the individual associations between admissions and ambient environmental variables. Significant associations were found between: (1) acute respiratory infections and oxides of nitrogen, soiling index, and temperature; (2) asthma and oxides of nitrogen (3) total admissions and soiling index, average temperature and minimum temperature (negative). The study concluded that despite generally low levels of air pollution in Cape Town, childhood respiratory admissions to Red Cross War Memorial Children's Hospital and Tygerberg Hospital were statistically significantly associated with some ambient air pollutants as well as temperature. However, given the nature of both the exposure and admissions databases, these results should be treated with caution. More representative site selections for air pollution monitors, as well as searching and controlling for possible confounding factors (i.e. indoor air pollution, parental smoking, overcrowding), would allow a better understanding of the current air pollution problem and the possible effects on the respiratory health of children in metropolitan Cape Town.
Steyn, Sunette. "The Management of aerial particulate pollution the case of Platinum Industry Smelters in the Rustenburg region of the North West Province, South Africa /." Pretoria : [s.n.], 2004. http://upetd.up.ac.za/thesis/available/etd-12132005-112533.
Full textBagula, Herman Joseph. "Ambient air pollution and cardiorespiratory outcomes amongst adult residing in four informal settlements in the Western Province of South Africa." Master's thesis, Faculty of Health Sciences, 2019. http://hdl.handle.net/11427/31351.
Full textBooks on the topic "Air – Pollution – South Africa"
Clean Air Challenges in a Changing South Africa (1993 Dikhololo Game Lodge, Brits). Proceedings of Clean Air Challenges in a Changing South Africa Conference: 11 & 12 November, 1993, Dikhololo Game Lodge, Brits. Johannesburg: Natinoal Association for Clean Air, 1993.
Find full textSouth Coast Air Quality Management District (Calif.). Air quality management plan, South Coast air basin: Draft. [El Monte, Calif.]: The District, 1990.
Find full text), South Coast Air Quality Management District (Calif. 1991 air quality management plan, South Coast air basin: Final. [El Monte, Calif.]: South Coast Air Quality Management District, 1991.
Find full textKhwaja, Mahmood A., and Ayesha Salman. Air pollution reduction and control in South Asia. Islamabad: Sustainable Development Policy Institute, 2012.
Find full textHall, Ronald M. Yankton Sioux Tribe-Marty Indian School, Marty, South Dakota. [Atlanta, Ga.?]: U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 1999.
Find full textHall, Ronald M. Yankton Sioux Tribe-Marty Indian School, Marty, South Dakota. [Atlanta, Ga.?]: U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 1999.
Find full textHall, Ronald M. Yankton Sioux Tribe-Marty Indian School, Marty, South Dakota. [Atlanta, Ga.?]: U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 1999.
Find full textHall, Ronald M. Yankton Sioux Tribe-Marty Indian School, Marty, South Dakota. [Atlanta, Ga.?]: U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 1999.
Find full textBook chapters on the topic "Air – Pollution – South Africa"
Cairncross, Eugene, Aqiel Dalvie, Rico Euripidou, James Irlam, and Rajen Nithiseelan Naidoo. "Climate Change, Air Pollution and Health in South Africa." In Climate Change and Air Pollution, 327–47. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61346-8_20.
Full textPrabhakar, Ashish V. "The air pollution conundrum in Delhi." In Urbanization in the Global South, 225–41. London: Routledge India, 2021. http://dx.doi.org/10.4324/9781003093282-12.
Full textAberra, Edlam. "Air Pollution In Addis Ababa." In Local Environmental Change and Society in Africa, 173–97. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-017-2103-5_8.
Full textJeričević, Amela, Darko Koračin, Jinhua Jiang, Judith Chow, John Watson, Eric Fujita, and Hiroaki Minoura. "Air Quality Study of High Ozone Levels in South California." In Air Pollution Modeling and its Application XXII, 629–33. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5577-2_106.
Full textTyali, Siyasanga M. "‘Communities’ of the air." In Radio, Public Life and Citizen Deliberation in South Africa, 125–40. Abingdon, Oxon ; New York, NY : Routledge, 2021. | Series: Routledge contemporary South Africa: Routledge, 2021. http://dx.doi.org/10.4324/9781003027744-10.
Full textKaliyev, A. Z. "Environmental Conditions in the Areas Exposed to Emission from the Gas Processing Industry in South Ural." In Air Pollution in the Ural Mountains, 141–43. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5208-2_12.
Full textJohnston-White, Iain E. "On the Fringes: South Africa and Air Training." In The British Commonwealth and Victory in the Second World War, 135–42. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-137-58917-0_10.
Full textKumar, Rajesh, Mary C. Barth, Luca Delle Monache, Sachin D. Ghude, Gabriele Pfister, Manish Naja, and Guy P. Brasseur. "An Overview of Air Quality Modeling Activities in South Asia." In Air Pollution in Eastern Asia: An Integrated Perspective, 27–47. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59489-7_2.
Full textAberra, Edlam. "Air Pollution in Addis Ababa: The Predicament of “Chile Sefer”." In Local Environmental Change and Society in Africa, 177–202. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-1003-0_8.
Full textPoulet, D., and S. Cautenet. "Redistribution of Carbon Monoxide in Central Africa During Biomass Burning Events (Expresso Experiment)." In Air Pollution Modeling and Its Application XIII, 75–83. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4153-0_8.
Full textConference papers on the topic "Air – Pollution – South Africa"
Forbes, P. B. C. "Particle emissions from household fires in South Africa." In AIR POLLUTION 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/air120391.
Full textKWATA, MAPHUTI G., and SHADUNG J. MOJA. "MEASUREMENT AND CHARACTERIZATION OF DUSTFALL SAMPLES FROM MPUMALANGA PROVINCE, SOUTH AFRICA." In AIR POLLUTION 2017. Southampton UK: WIT Press, 2017. http://dx.doi.org/10.2495/air170111.
Full textNhamo, G. "CDM project approval and evaluation criteria: comparative study of Morocco and South Africa." In AIR POLLUTION 2007. Southampton, UK: WIT Press, 2007. http://dx.doi.org/10.2495/air070541.
Full textMkhatshwa, G. V. "Air quality monitoring and management for the industrialized Highveld region of South Africa." In AIR POLLUTION 2008. Southampton, UK: WIT Press, 2008. http://dx.doi.org/10.2495/air080231.
Full textMOJA, SHADUNG J., and PHUMUDZO THIVHAFUNI. "NO2, SO2, C6H6, O3 AND PM10 LEVELS WITHIN THE BA-PHALABORWA MUNICIPALITY OF SOUTH AFRICA." In AIR POLLUTION 2017. Southampton UK: WIT Press, 2017. http://dx.doi.org/10.2495/air170101.
Full textROFFE, SARAH, RAEESA MOOLLA, and STEFAN GRAB. "THE INFLUENCE OF BTEX LANDFILL GAS EMISSIONS: A CASE STUDY OF RESIDENTS IN ROODEPOORT, GAUTENG, SOUTH AFRICA." In AIR POLLUTION 2017. Southampton UK: WIT Press, 2017. http://dx.doi.org/10.2495/air170151.
Full textPretorius, I. "The impact of the South African energy crisis on emissions." In AIR POLLUTION 2015, edited by S. J. Piketh and R. P. Burger. Southampton, UK: WIT Press, 2015. http://dx.doi.org/10.2495/air150211.
Full textKWATA, MAPHUTI G., SHADUNG J. MOJA, and GLADNESS M. CHADI. "A PHYSICO-CHEMICAL STUDY OF DUST SAMPLES FROM THE DERELICT AND OWNERLESS ASBESTOS MINE DUMPS IN MPUMALANGA PROVINCE, REPUBLIC OF SOUTH AFRICA." In AIR POLLUTION 2018. Southampton UK: WIT Press, 2018. http://dx.doi.org/10.2495/air180311.
Full textLanguage, B., S. J. Piketh, B. Wernecke, and R. Burger. "Household air pollution in South African low-income settlements: a case study." In AIR POLLUTION 2016. Southampton UK: WIT Press, 2016. http://dx.doi.org/10.2495/air160211.
Full textMASHALANE, TLOU B., SHADUNG J. MOJA, OBED NOVHE, MAPHUTI G. KWATA, and KHUTHADZO MASINDI. "A STUDY OF TRAPPED DUST AND DUSTFALL SAMPLES FROM HUMAN SETTLEMENTS NEAR REHABILITATED AND NON-REHABILITATED ABANDONED ASBESTOS MINE DUMPS IN THE NORTHERN CAPE PROVINCE, SOUTH AFRICA." In AIR POLLUTION 2018. Southampton UK: WIT Press, 2018. http://dx.doi.org/10.2495/air180331.
Full textReports on the topic "Air – Pollution – South Africa"
Ness, J. Erik, Vikram Ravi, and Garvin Heath. An Overview of Policies Influencing Air Pollution from the Electricity Sector in South Asia. Office of Scientific and Technical Information (OSTI), August 2021. http://dx.doi.org/10.2172/1818877.
Full textMap showing free-air gravity anomalies off the western coast of Africa Senegal (south of 15° north latitude) to Sierra Leone. US Geological Survey, 1990. http://dx.doi.org/10.3133/mf2098d.
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