Methods were developed for the accurate measurement of optical and elemental properties of particulate matter samples, with an emphasis on size- and time-resolved samples. These techniques were applied to environmental samples collected near the Houston ship channel and in the Washburn Tunnel. First, optical extinction was quantified using a modified integrating plate method for samples presorted into eight size bins ranging from coarse (10-5.0 μm) to the Aitken size mode (0.26-0.09 μm). Depending on mass loading, expected time resolution for typical urban environments could be one hour. Calibrations using resuspended non-absorbing salts and carbon particles revealed an anomaly unique to particles between 0.56 and 0.75 μm equivalent diamet...
AbstractSize-resolved composition of particulate matter (PM) sampled in the industrial town of Port ...
Aluminium is the most common substrate in studies using impactors for the measurement of the number ...
Source emissions with high covariance degrade the performance of multivariate models, and often high...
The sources of submicrometer particulate matter (PM1) remain poorly characterized in the industriali...
The elemental composition of the St. Louis aerosol has been investigated at rooftop sites in south a...
2019-03-22The research presented herein provides valuable information on the physical and chemical c...
Western North Dakota, USA is experiencing particulate matter (PM) emissions, especially coarse (PM10...
The work presented herein details the measurement of particle-bound metals in environmental samples ...
To set up a sampling and analysis strategy for particulate matter (PM) based on the time periods use...
I have developed a novel approach to test for toxic organic substances adsorbed onto ultra fine part...
An hourly average PM10 concentration of 1402 mu g m(-3) was registered at 1400 Pacific Standard Time...
A multi-analytical approach to chemical analysis of inhalable urban atmospheric particulate matter (...
Since the industrial revolution pollution has typically been classified according to whether it conc...
The nature of the PM2.5 and PM10 varies enormously depending on the anthropogenic activities develop...
In order to obtain high time-resolution, i.e., chemical data of atmospheric particulate matter (PM) ...
AbstractSize-resolved composition of particulate matter (PM) sampled in the industrial town of Port ...
Aluminium is the most common substrate in studies using impactors for the measurement of the number ...
Source emissions with high covariance degrade the performance of multivariate models, and often high...
The sources of submicrometer particulate matter (PM1) remain poorly characterized in the industriali...
The elemental composition of the St. Louis aerosol has been investigated at rooftop sites in south a...
2019-03-22The research presented herein provides valuable information on the physical and chemical c...
Western North Dakota, USA is experiencing particulate matter (PM) emissions, especially coarse (PM10...
The work presented herein details the measurement of particle-bound metals in environmental samples ...
To set up a sampling and analysis strategy for particulate matter (PM) based on the time periods use...
I have developed a novel approach to test for toxic organic substances adsorbed onto ultra fine part...
An hourly average PM10 concentration of 1402 mu g m(-3) was registered at 1400 Pacific Standard Time...
A multi-analytical approach to chemical analysis of inhalable urban atmospheric particulate matter (...
Since the industrial revolution pollution has typically been classified according to whether it conc...
The nature of the PM2.5 and PM10 varies enormously depending on the anthropogenic activities develop...
In order to obtain high time-resolution, i.e., chemical data of atmospheric particulate matter (PM) ...
AbstractSize-resolved composition of particulate matter (PM) sampled in the industrial town of Port ...
Aluminium is the most common substrate in studies using impactors for the measurement of the number ...
Source emissions with high covariance degrade the performance of multivariate models, and often high...