<p>The bars indicate source profiles (left y-axis), and the filled dots indicate percentage of species (right y-axis) attributed to that source. (Biomass burning (a), Fossil fuel combustion (b), Crust (c), Agriculture (d), Aged sea salt (e).).</p
This study presents the source apportionment of PM2.5 performed by positive matrix factorization (PM...
To accurately apportion the sources of aerosols, a combined method of positive matrix factorization ...
Receptor models are rarely utilized in atmospheric deposition but are often used to identify polluta...
<p>Comparison of PMF predictions with observations for NO3- (a) and NH4+ (b) concentrations (μeqL<su...
Black carbon (BC) and polycyclic aromatic hydrocarbons (PAHs) are byproducts generated from the inco...
Source apportionment of fine particles (PM2.5) at a background site in North China in the winter of ...
This data files present source composition data that collected and analyzed in a review article to i...
Source apportionment of fine particles (PM<sub>2.5</sub>) at a background site in North China in th...
<p>Percentage contributions of aged sea salt, crust, agriculture, fossil fuel combustion, and biomas...
To explore the utility of combining positive matrix factorization (PMF) with radiocarbon (C-14) meas...
Source apportionment of PM10 and PM2.5 samples collected in an industrial area of the Po Valley was ...
Daily PM2.5 samples were collected at an urban site in Beijing during four one-month periods in 2009...
Daily PM2.5 samples were collected at an urban site in Beijing during four one-month periods in 2009...
The relative influence of source categories of aerosols that affect atmospheric extinction is analyz...
Results from the receptor modeling of atmospheric aerosols, in particular, Respirable Suspended Part...
This study presents the source apportionment of PM2.5 performed by positive matrix factorization (PM...
To accurately apportion the sources of aerosols, a combined method of positive matrix factorization ...
Receptor models are rarely utilized in atmospheric deposition but are often used to identify polluta...
<p>Comparison of PMF predictions with observations for NO3- (a) and NH4+ (b) concentrations (μeqL<su...
Black carbon (BC) and polycyclic aromatic hydrocarbons (PAHs) are byproducts generated from the inco...
Source apportionment of fine particles (PM2.5) at a background site in North China in the winter of ...
This data files present source composition data that collected and analyzed in a review article to i...
Source apportionment of fine particles (PM<sub>2.5</sub>) at a background site in North China in th...
<p>Percentage contributions of aged sea salt, crust, agriculture, fossil fuel combustion, and biomas...
To explore the utility of combining positive matrix factorization (PMF) with radiocarbon (C-14) meas...
Source apportionment of PM10 and PM2.5 samples collected in an industrial area of the Po Valley was ...
Daily PM2.5 samples were collected at an urban site in Beijing during four one-month periods in 2009...
Daily PM2.5 samples were collected at an urban site in Beijing during four one-month periods in 2009...
The relative influence of source categories of aerosols that affect atmospheric extinction is analyz...
Results from the receptor modeling of atmospheric aerosols, in particular, Respirable Suspended Part...
This study presents the source apportionment of PM2.5 performed by positive matrix factorization (PM...
To accurately apportion the sources of aerosols, a combined method of positive matrix factorization ...
Receptor models are rarely utilized in atmospheric deposition but are often used to identify polluta...
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