A hybrid environmental receptor model (HERM) that unifies the theory of effective-variance chemical mass balance (EV-CMB) and positive matrix factorization (PMF) models was developed to support the weight-of-evidence approach of air pollution source apportionment. The HERM software is capable of (1) conducting EV-CMB analysis for multiple samples in a single model run; (2) calculating EV-CMB and PMF source contributions, as well as middle grounds between the two (i.e., hybrid mode), using partial source information available for the study region; (3) reporting source contribution uncertainties and sample-/species-specific fitting performance measures; and (4) interfacing with MS Excel for convenient data inputs/outputs and analysis. Initial...
Airborne Particulate Matter (APM) is used by the World Health Organization (WHO) as a proxy indicato...
Some air pollution datasets contain multiple variables with a range of measurement units, and combin...
Particulate matter (PM) is one of the most studied atmospheric pollutants due to their adverse effec...
A hybrid environmental receptor model (HERM) that unifies the theory of effective-variance chemical ...
A hybrid fine particulate matter (PM2.5) source apportionment approach based on a receptor model (RM...
An integral part of air quality management is knowledge of the impact of pollutant sources on ambien...
Receptor modelling techniques are used to identify and quantify the contributions from emission sour...
Receptor Models identify pollution sources by solving a mass balance equation using measured chemica...
Thesis (Ph.D.)--University of Washington, 2014Source apportionment models attempt to untangle the re...
Airborne PM pollution has emerged out as a critical issue all across the world. Quantitative and qua...
Particulate matter (PM) is one of the most studied atmospheric pollutant in urban areas due to their...
The positive matrix factorization(PMF) receptor model tracks sources of fine particle(PM2.5) based o...
An ensemble-based approach is applied to better estimate source impacts on fine particulate matter (...
Receptor Models are tools widely adopted in source apportionment studies. We describe here an experi...
Particulate matter (PM) is one of the most studied atmospheric pollutant in urban areas due to parti...
Airborne Particulate Matter (APM) is used by the World Health Organization (WHO) as a proxy indicato...
Some air pollution datasets contain multiple variables with a range of measurement units, and combin...
Particulate matter (PM) is one of the most studied atmospheric pollutants due to their adverse effec...
A hybrid environmental receptor model (HERM) that unifies the theory of effective-variance chemical ...
A hybrid fine particulate matter (PM2.5) source apportionment approach based on a receptor model (RM...
An integral part of air quality management is knowledge of the impact of pollutant sources on ambien...
Receptor modelling techniques are used to identify and quantify the contributions from emission sour...
Receptor Models identify pollution sources by solving a mass balance equation using measured chemica...
Thesis (Ph.D.)--University of Washington, 2014Source apportionment models attempt to untangle the re...
Airborne PM pollution has emerged out as a critical issue all across the world. Quantitative and qua...
Particulate matter (PM) is one of the most studied atmospheric pollutant in urban areas due to their...
The positive matrix factorization(PMF) receptor model tracks sources of fine particle(PM2.5) based o...
An ensemble-based approach is applied to better estimate source impacts on fine particulate matter (...
Receptor Models are tools widely adopted in source apportionment studies. We describe here an experi...
Particulate matter (PM) is one of the most studied atmospheric pollutant in urban areas due to parti...
Airborne Particulate Matter (APM) is used by the World Health Organization (WHO) as a proxy indicato...
Some air pollution datasets contain multiple variables with a range of measurement units, and combin...
Particulate matter (PM) is one of the most studied atmospheric pollutants due to their adverse effec...