scholarly journals Use of a process analysis tool for diagnostic study on fine particulate matter predictions in the U.S.–Part II: Analyses and sensitivity simulations

2011 ◽  
Vol 2 (1) ◽  
pp. 61-71 ◽  
Author(s):  
Ping Liu ◽  
Yang Zhang ◽  
Shaocai Yu ◽  
Kenneth L. Schere
Keyword(s):  
Particulate Matter ◽  
Process Analysis ◽  
Fine Particulate Matter ◽  
Diagnostic Study ◽  
Analysis Tool ◽  
Fine Particulate ◽  
The U.S

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.

Expert Judgment on the Mortality Impact of Ambient Fine Particulate Matter in the U.S.

Epidemiology ◽  
2007 ◽  
Vol 18 (Suppl) ◽  
pp. S132
Author(s):  
P Kinney ◽  
H Roman ◽  
K Walker ◽  
T Gettleman ◽  
B Hubbell ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Expert Judgment ◽  
Fine Particulate ◽  
The U.S

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

2014 ◽  
Vol 14 (11) ◽  
pp. 5415-5431 ◽  
Author(s):  
Y. Hu ◽  
S. Balachandran ◽  
J. E. Pachon ◽  
J. Baek ◽  
C. Ivey ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Source Apportionment ◽  
Hybrid Method ◽  
Weighted Least Squares ◽  
Fine Particulate Matter ◽  
Hybrid Approach ◽  
Chemical Transport ◽  
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. 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, woodstoves, 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-squares error minimization. The rankings of source impacts changed from the initial estimates, further demonstrating 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 for 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.

scholarly journals Association Between Fine Particulate Matter and Diabetes Prevalence in the U.S.

Diabetes Care ◽  
2010 ◽  
Vol 33 (10) ◽  
pp. 2196-2201 ◽  
Author(s):  
J. F. Pearson ◽  
C. Bachireddy ◽  
S. Shyamprasad ◽  
A. B. Goldfine ◽  
J. S. Brownstein
Keyword(s):  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Diabetes Prevalence ◽  
Fine Particulate ◽  
The U.S

scholarly journals Expert Judgment Assessment of the Mortality Impact of Changes in Ambient Fine Particulate Matter in the U.S.

2008 ◽  
Vol 42 (7) ◽  
pp. 2268-2274 ◽  
Author(s):  
Henry A. Roman ◽  
Katherine D. Walker ◽  
Tyra L. Walsh ◽  
Lisa Conner ◽  
Harvey M. Richmond ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Expert Judgment ◽  
Fine Particulate ◽  
The U.S

The Mortality Impact of Fine Particulate Matter in China

2020 ◽  
Author(s):  
Yazhen Gong ◽  
Shanjun Li ◽  
Nicholas Sanders ◽  
Guang Shi
Keyword(s):  
Particulate Matter ◽  
Fine Particulate Matter ◽  
Fine Particulate
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