Source apportionment of fine atmospheric particles using positive matrix factorization in Pretoria, South Africa
نویسندگان
چکیده
منابع مشابه
Source apportionment of PM2.5 in Beijing by positive matrix factorization
Air pollution associated with atmospheric fine particulate matter (PM2.5, i.e., particles with an aerodynamic diameter of 2.5mm or less) is a serious problem in Beijing, China. To provide a better understanding of the sources contributing to PM2.5, 24-h samples were collected at 6-day intervals in January, April, July, and October in 2000 at five locations in the Beijing metropolitan area. Both...
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Providing quantitative information on the sources of PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) in urban regions is vital to establish effective abatement strategies for air pollution in a megacity. In this study, based on a year data set from October 2011 to August 2012, the sources of PM2.5-bound 16 USEPA priority PAHs (16 PAHs) in Shanghai, a megacity in China, were apportioned by p...
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The objective of this study was to identify potential sources of personal exposure to fine particulate matter (PM2.5), volatile organic compounds (VOCs), NO2, SO2, and O3 in an urban and industrial area of Turkey between May 2006 and January 2007. Personal exposures were determined once per person in 28 adults over a 24-h period. Energy dispersive Xray fluorescence and a wavelength dispersive X...
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Airborne nanoparticles have been studied worldwide, but little is known about their sources in the Middle East region, where hot, arid and dusty climatic conditions generally prevail. For the first time in Kuwait, we carried out size-resolved measurements of particle number distributions (PNDs) and concentrations (PNCs) in the 5-1000 nm size range. Measurements were made continuously for 31 day...
متن کاملComparison of PM2.5 source apportionment using positive matrix factorization and molecular marker-based chemical mass balance.
A comprehensive comparison of positive matrix factorization (PMF) and molecular marker-based chemical mass balance (CMB-MM) modeling on PM2.5 source contributions was conducted for particulate matter measurements taken at Jefferson Street, Atlanta, Georgia (JST). The datasets used in each type of receptor modeling were different: CMB-MM used data of primarily organic tracers plus a couple eleme...
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ژورنال
عنوان ژورنال: Clean air journal
سال: 2022
ISSN: ['2410-972X', '1017-1703']
DOI: https://doi.org/10.17159/caj/2022/32/1.13931