Literature DB >> 11393541

PM2.5 and PM10 concentrations from the Qalabotjha low-smoke fuels macro-scale experiment in South Africa.

J P Engelbrecht1, L Swanepoel, J C Chow, J G Watson, R T Egami.   

Abstract

This article presents results from the particulate monitoring campaign conducted at Qalabotjha in South Africa during the winter of 1997. Combustion of D-grade domestic coal and low-smoke fuels were compared in a residential neighborhood to evaluate the extent of air quality improvement by switching household cooking and heating fuels. Comparisons are drawn between the gravimetric results from the two types of filter substrates (Teflon-membrane and quartz-fiber) as well as between the integrated and continuous samplers. It is demonstrated that the quartz-fiber filters reported 5 to 10% greater particulate mass than the Teflon-membrane filters, mainly due to the adsorption of organic gases onto the quartz-fiber filters. Due to heating of sampling stream to 50 degrees C in the TEOM continuous sampler and the high volatile content of the samples, approximately 15% of the particulate mass was lost during sampling. The USEPA 24-hr PM2.5 and PM10 National Ambient Air Quality Standards (NAAQS) of 65 microg m(-3) and 150 microg m(-3), respectively, were exceeded on several occasions during the 30-day field campaign. Average PM concentrations are highest when D-grade domestic coal was used, and lowest between day 11 and day 20 of the experiment when a majority of the low-smoke fuels were phased in. Source impacts from residential coal combustion are also found to be influenced by changes in meteorology, especially wind velocity. PM2.5 and PM10 mass, elements, water-soluble cations (sodium, potassium, and ammonium), anions (chloride, nitrate, and sulfate), as well as organic and elemental carbon were measured on 15 selected days during the field campaign. PM2.5 constituted more than 85% of PM10 at three Qalabotjha residential sites, and more than 70% of PM10 at the gradient site in the adjacent community of Villiers. Carbonaceous aerosol is by far the most abundant component, accounting for more than half of PM mass at the three Qalabotjha sites, and for more than a third of PM mass at the gradient site. Secondary aerosols such as sulfate, nitrate, and ammonium are also significant, constituting 8 to 12% of PM mass at the three Qalabotjha sites and 15 to 20% at the Villiers gradient site.

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Year:  2001        PMID: 11393541     DOI: 10.1023/a:1010786615180

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  PM2.5 and PM10 concentrations from the Qalabotjha low-smoke fuels macro-scale experiment in South Africa.

Authors:  J P Engelbrecht; L Swanepoel; J C Chow; J G Watson; R T Egami
Journal:  Environ Monit Assess       Date:  2001-06       Impact factor: 2.513

  1 in total
  9 in total

1.  PM2.5 and PM10 concentrations from the Qalabotjha low-smoke fuels macro-scale experiment in South Africa.

Authors:  J P Engelbrecht; L Swanepoel; J C Chow; J G Watson; R T Egami
Journal:  Environ Monit Assess       Date:  2001-06       Impact factor: 2.513

2.  An overview of regional and local characteristics of aerosols in South Africa using satellite, ground, and modeling data.

Authors:  S P Hersey; R M Garland; E Crosbie; T Shingler; A Sorooshian; S Piketh; R Burger
Journal:  Atmos Chem Phys       Date:  2015       Impact factor: 6.133

3.  Distribution of PM(2.5) and PM(10-2.5) in PM(10) fraction in ambient air due to vehicular pollution in Kolkata megacity.

Authors:  Manab Das; Subodh Kumar Maiti; Ujjal Mukhopadhyay
Journal:  Environ Monit Assess       Date:  2006-06-13       Impact factor: 2.513

4.  Interventions to reduce ambient particulate matter air pollution and their effect on health.

Authors:  Jacob Burns; Hanna Boogaard; Stephanie Polus; Lisa M Pfadenhauer; Anke C Rohwer; Annemoon M van Erp; Ruth Turley; Eva Rehfuess
Journal:  Cochrane Database Syst Rev       Date:  2019-05-20

Review 5.  Chemical and Biological Components of Urban Aerosols in Africa: Current Status and Knowledge Gaps.

Authors:  Egide Kalisa; Stephen Archer; Edward Nagato; Elias Bizuru; Kevin Lee; Ning Tang; Stephen Pointing; Kazuichi Hayakawa; Donnabella Lacap-Bugler
Journal:  Int J Environ Res Public Health       Date:  2019-03-15       Impact factor: 3.390

6.  Exposure to PM2.5 affects blood lipid levels in asthmatic rats through notch signaling pathway.

Authors:  Tianrong Zhang; Yan Zheng; Yizhen Gao; Tianyang Zhao; Shuangyu Guo; Liwei Yang; Yanbin Shi; Liting Zhou; Lin Ye
Journal:  Lipids Health Dis       Date:  2019-08-07       Impact factor: 3.876

7.  Within-neighborhood patterns and sources of particle pollution: mobile monitoring and geographic information system analysis in four communities in Accra, Ghana.

Authors:  Kathie L Dionisio; Michael S Rooney; Raphael E Arku; Ari B Friedman; Allison F Hughes; Jose Vallarino; Samuel Agyei-Mensah; John D Spengler; Majid Ezzati
Journal:  Environ Health Perspect       Date:  2010-01-07       Impact factor: 9.031

8.  Relationship between air pollutants and economic development of the provincial capital cities in China during the past decade.

Authors:  Yunpeng Luo; Huai Chen; Qiu'an Zhu; Changhui Peng; Gang Yang; Yanzheng Yang; Yao Zhang
Journal:  PLoS One       Date:  2014-08-01       Impact factor: 3.240

9.  The Spatio-Temporal Distribution of Particulate Matter during Natural Dust Episodes at an Urban Scale.

Authors:  Helena Krasnov; Itai Kloog; Michael Friger; Itzhak Katra
Journal:  PLoS One       Date:  2016-08-11       Impact factor: 3.240

  9 in total

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