Comparison of Source Apportionment and Source Sensitivity of Ozone in a Three-Dimensional Air Quality Model

2002 ◽  
Vol 36 (13) ◽  
pp. 2953-2964 ◽  
Author(s):  
Alan M. Dunker ◽  
Greg Yarwood ◽  
Jerome P. Ortmann ◽  
Gary M. Wilson
Keyword(s):  
Air Quality ◽  
Source Apportionment ◽  
Three Dimensional ◽  
Air Quality Model ◽  
Quality Model

Comparison of Source Apportionment and Sensitivity Analysis in a Particulate Matter Air Quality Model

2009 ◽  
Vol 43 (17) ◽  
pp. 6669-6675 ◽  
Author(s):  
Bonyoung Koo ◽  
Gary M. Wilson ◽  
Ralph E. Morris ◽  
Alan M. Dunker ◽  
Greg Yarwood
Keyword(s):  
Sensitivity Analysis ◽  
Particulate Matter ◽  
Air Quality ◽  
Source Apportionment ◽  
Air Quality Model ◽  
Quality Model

scholarly journals Source-sector contributions to European ozone and fine PM in 2010 using AQMEII modeling data

2017 ◽  
Vol 17 (9) ◽  
pp. 5643-5664 ◽  
Author(s):  
Prakash Karamchandani ◽  
Yoann Long ◽  
Guido Pirovano ◽  
Alessandra Balzarini ◽  
Greg Yarwood
Keyword(s):  
Air Quality ◽  
Boundary Conditions ◽  
Source Apportionment ◽  
Initial Conditions ◽  
Chemical Species ◽  
Anthropogenic Source ◽  
Source Attribution ◽  
Air Quality Model ◽  
Quality Model ◽  
Energy Transportation

Abstract. Source apportionment modeling provides valuable information on the contributions of different source sectors and/or source regions to ozone (O3) or fine particulate matter (PM2.5) concentrations. This information can be useful in designing air quality management strategies and in understanding the potential benefits of reducing emissions from a particular source category. The Comprehensive Air quality Model with Extensions (CAMx) offers unique source attribution tools, called the Ozone and Particulate Source Apportionment Technology (OSAT/PSAT), which track source contributions. We present results from a CAMx source attribution modeling study for a summer month and a winter month using a recently evaluated European CAMx modeling database developed for Phase 3 of the Air Quality Model Evaluation International Initiative (AQMEII). The contributions of several source sectors (including model boundary conditions of chemical species representing transport of emissions from outside the modeling domain as well as initial conditions of these species) to O3 or PM2.5 concentrations in Europe were calculated using OSAT and PSAT, respectively. A 1-week spin-up period was used to reduce the influence of initial conditions. Evaluation focused on 16 major cities and on identifying source sectors that contributed above 5 %. Boundary conditions have a large impact on summer and winter ozone in Europe and on summer PM2.5, but they are only a minor contributor to winter PM2.5. Biogenic emissions are important for summer ozone and PM2.5. The important anthropogenic sectors for summer ozone are transportation (both on-road and non-road), energy production and conversion, and industry. In two of the 16 cities, solvent and product also contributed above 5 % to summertime ozone. For summertime PM2.5, the important anthropogenic source sectors are energy, transportation, industry, and agriculture. Residential wood combustion is an important anthropogenic sector in winter for PM2.5 over most of Europe, with larger contributions in central and eastern Europe and the Nordic cities. Other anthropogenic sectors with large contributions to wintertime PM2.5 include energy, transportation, and agriculture.

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