Receptor models have been widely used for the source apportionment of airborne
particulate matter. However, in the last 10 years, the use of factor analysis-based models …

The submicron particulate matter (PM 1) and fine particulate matter (PM 2.5) are very
important due to their greater adverse impacts on the natural environment and human …

Abstract Fine particulate matter (PM 2.5) is a prominent atmospheric pollutant that poses
serious adverse effects on air quality and human health. PM 2.5 source apportionment …

Few studies have focused on the spatial distribution of the typical components and source
tracers of PM 2.5 and their associated health risks, despite the fact that the chemical …

Identification of various emission sources and quantification of their contributions comprise
an essential step in formulating scientifically sound pollution control strategies. Most …

Volatile organic compounds (VOCs) emitted from various sources into atmosphere could
cause serious O 3 pollution in urban areas. Although characterizations of ambient VOCs …

Gas-and particle-phase molecular markers provide highly specific information about the
sources and atmospheric processes that contribute to air pollution. In urban areas, major …

Source apportionments of urban aerosols identified with positive matrix factorization (PMF)
are sensitive to input variables. So far, total elements were frequently included as effective …

Abstract Atmospheric fine-particle (PM 2.5) pollution is a prominent regional issue that is
affected by local emissions, regional transport, and secondary formation and impacts human …

Source apportionment of PM 2.5 was performed using positive matrix factorization (PMF)
based on chemical speciation data from 24-h filters collected throughout 2015 at six …