Source Apportionment of Dioxin Pollution in River Sediment using Positive Matrix Factorization
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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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...
متن کاملSource apportionment of exposure to toxic volatile organic compounds using positive matrix factorizationSource apportionment of exposure to toxic volatile organic compounds using positive matrix factorization
Data from the Total Exposure Assessment Methodology studies, conducted from 1980 to 1987 in New Jersey (NJ ) and California (CA) , and the 1990 California Indoor Exposure study were analyzed using positive matrix factorization, a receptor -oriented source apportionment model. Personal exposure and outdoor concentrations of 14 and 17 toxic volatile organic compounds (VOCs) were studied from the ...
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ژورنال
عنوان ژورنال: Journal of Environmental Chemistry
سال: 2011
ISSN: 1882-5818,0917-2408
DOI: 10.5985/jec.21.1