Global Sources of Fine Particulate Matter: Interpretation of PM2.5 Chemical Composition Observed by SPARTAN using a Global Chemical Transport Model

2018 ◽  
Author(s):  
Crystal L. Weagle ◽  
Graydon Snider ◽  
Chi Li ◽  
Aaron van Donkelaar ◽  
Sajeev Philip ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Chemical Composition ◽  
Transport Model ◽  
Fine Particulate Matter ◽  
Chemical Transport ◽  
Chemical Transport Model ◽  
Fine Particulate ◽  
Global Chemical Transport Model

scholarly journals Mass size distributions and size resolved chemical composition of fine particulate matter at the Pittsburgh supersite

2004 ◽  
Vol 38 (20) ◽  
pp. 3127-3141 ◽  
Author(s):  
Juan C. Cabada ◽  
Sarah Rees ◽  
Satoshi Takahama ◽  
Andrey Khlystov ◽  
Spyros N. Pandis ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Chemical Composition ◽  
Fine Particulate Matter ◽  
Size Distributions ◽  
Fine Particulate ◽  
Mass Size

Trends in Chemical Composition of Global and Regional Population-Weighted Fine Particulate Matter Estimated for 25 Years

2017 ◽  
Vol 51 (19) ◽  
pp. 11185-11195 ◽  
Author(s):  
Chi Li ◽  
Randall V. Martin ◽  
Aaron van Donkelaar ◽  
Brian L. Boys ◽  
Melanie S. Hammer ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Chemical Composition ◽  
Fine Particulate Matter ◽  
Fine Particulate ◽  
Regional Population

scholarly journals Fine particulate matter source apportionment using a hybrid chemical transport and receptor model approach

2013 ◽  
Vol 13 (10) ◽  
pp. 26657-26698
Author(s):  
Y. Hu ◽  
S. Balachandran ◽  
J. E. Pachon ◽  
J. Baek ◽  
C. Ivey ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Source Apportionment ◽  
Hybrid Method ◽  
Fine Particulate Matter ◽  
Hybrid Approach ◽  
Chemical Transport ◽  
Measurement Information ◽  
Analysis Tool ◽  
Receptor Model ◽  
Fine Particulate

Abstract. A hybrid fine particulate matter (PM2.5) source apportionment approach based on a receptor-model (RM) species balance and species specific source impacts from a chemical transport model (CTM) equipped with a sensitivity analysis tool is developed to provide physically- and chemically-consistent relationships between source emissions and receptor impacts. This hybrid approach enhances RM results by providing initial estimates of source impacts from a much larger number of sources than are typically used in RMs, and provides source-receptor relationships for secondary species. Further, the method addresses issues of source collinearities, and accounts for emissions uncertainties. Hybrid method results also provide information on the resulting source impact uncertainties. We apply this hybrid approach to conduct PM2.5 source apportionment at Chemical Speciation Network (CSN) sites across the US. Ambient PM2.5 concentrations at these receptor sites were apportioned to 33 separate sources. Hybrid method results led to large changes of impacts from CTM estimates for sources such as dust, woodstove, and other biomass burning sources, but limited changes to others. The refinements reduced the differences between CTM-simulated and observed concentrations of individual PM2.5 species by over 98% when using a weighted least squared error minimization. The rankings of source impacts changed from the initial estimates, revealing that CTM-only results should be evaluated with observations. Assessment with RM results at six US locations showed that the hybrid results differ somewhat from commonly resolved sources. The hybrid method also resolved sources that typical RM methods do not capture without extra measurement information on unique tracers. The method can be readily applied to large domains and long (such as multi-annual) time periods to provide source impact estimates for management- and health-related studies.

Investigation on a Haze Episode of Fine Particulate Matter using Semi-continuous Chemical Composition Data

2013 ◽  
Vol 29 (5) ◽  
pp. 642-655 ◽  
Author(s):  
Seung-Shik Park ◽  
Sun-Jung Kim ◽  
Bu-Joo Gong ◽  
Kwon-Ho Lee ◽  
Seog-Yeon Cho ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Chemical Composition ◽  
Fine Particulate Matter ◽  
Composition Data ◽  
Fine Particulate ◽  
Haze Episode ◽  
Continuous Chemical

Hospital Admissions and Chemical Composition of Fine Particulate Matter (PM2.5) for 106 U.S. Counties

Epidemiology ◽  
2009 ◽  
Vol 20 ◽  
pp. S29 ◽  
Author(s):  
Michelle Bell ◽  
Keita Ebisu ◽  
Roger Peng ◽  
Jonathan Samet ◽  
Francesca Dominici
Keyword(s):  
Particulate Matter ◽  
Chemical Composition ◽  
Hospital Admissions ◽  
Fine Particulate Matter ◽  
Fine Particulate

Modeling of the chemical composition of fine particulate matter: Development and performance assessment of EASYWRF-Chem

2016 ◽  
Vol 170 ◽  
pp. 41-51 ◽  
Author(s):  
M. Mendez ◽  
P. Lebègue ◽  
N. Visez ◽  
V. Fèvre-Nollet ◽  
V. Crenn ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Chemical Composition ◽  
Performance Assessment ◽  
Fine Particulate Matter ◽  
Fine Particulate ◽  
And Performance
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