Grantee Research Project Results
2005 Progress Report: Development of a Tagged Species Source Apportionment Algorithm to Characterize 3-Dimensional Transport and Transformation of Precursors and Secondary Pollutants
EPA Grant Number: R832163Title: Development of a Tagged Species Source Apportionment Algorithm to Characterize 3-Dimensional Transport and Transformation of Precursors and Secondary Pollutants
Investigators: Tonnesen, Gail
Institution: University of California - Riverside
EPA Project Officer: Chung, Serena
Project Period: January 20, 2005 through January 19, 2007
Project Period Covered by this Report: January 20, 2005 through January 19, 2006
Project Amount: $260,126
RFA: Source Apportionment of Particulate Matter (2004) RFA Text | Recipients Lists
Research Category: Air Quality and Air Toxics , Particulate Matter , Air
Objective:
The objective of this research project is to develop new algorithms in the Community Multiscale Air Quality (CMAQ) model for source apportionment of fine particulate matter. The new algorithms will be tested and evaluated by comparing results to several other modeling and data analysis methods.
Progress Summary:
We initially implemented the Tagged Species Source Apportionment (TSSA) algorithm in CMAQ version 4.4. This required the development of 23 new subroutines in the CMAQ model, and modifications to 18 existing subroutines and approximately 10,000 lines of new code were written as part of this effort. After a new version CMAQ 4.5 was released in September 2005, we ported this code to the new CMAQ release. Testing of the new code is in progress and includes comparisons to model sensitivity simulations, with results available on the project Web site. Initial results show that the new source apportionment algorithm performs well for species that are not subject to strongly nonlinear chemical reactions. Additional testing and debugging is required for other species such as aerosol nitrate. When competed, the new algorithms will be useful for identifying specific emissions sources that contribute to fine particulate matter and to haze at any given location. This will be useful to regulators and policymakers in identifying emissions sources that should be further evaluated in developing emissions reductions strategies for attaining ambient air quality goals.
Future Activities:
During Year 2 of the project, we plan to continue testing and debugging the CMAQ/TSSA algorithm. The primary method of testing will be comparison of the TSSA results to brute force model sensitivity simulations and comparison to model results for a similar source apportionment algorithm recently implemented in ENVIRON Corporation’s Comprehensive Air-Quality Model with Extensions (CAMx).
Supplemental Keywords:
aerosols, sulfate, nitrate, particulate matter, 3 dimensional transport model, aerosol analyzers, aerosol particles, air quality model, air quality models, air sampling, airborne particulate matter, analytical chemistry, atmospheric chemistry, atmospheric dispersion models, atmospheric measurements, chemical characteristics, chemical speciation sampling, chemical transport models, community multiscale air quality model, emissions monitoring, environmental measurement, model-based analysis, modeling studies, particle size measurement, particulate matter mass, particulate organic carbon, real-time monitoring, source apportionment,, RFA, Scientific Discipline, Air, Ecosystem Protection/Environmental Exposure & Risk, particulate matter, Air Quality, Environmental Chemistry, Monitoring/Modeling, Environmental Monitoring, Environmental Engineering, particulate organic carbon, atmospheric dispersion models, atmospheric measurements, model-based analysis, source apportionment, chemical characteristics, emissions monitoring, environmental measurement, airborne particulate matter, air quality models, 3 dimensional transport model, community multiscale air quality model, air quality model, air sampling, speciation, particulate matter mass, analytical chemistry, aersol particles, modeling studies, chemical transport models, real-time monitoring, aerosol analyzers, chemical speciation sampling, particle size measurementRelevant Websites:
http://www.cert.ucr.edu/aqm/tssa Exit
Progress and Final Reports:
Original AbstractThe perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.