G
Gary M. Wilson
Researcher at Business International Corporation
Publications - 9
Citations - 647
Gary M. Wilson is an academic researcher from Business International Corporation. The author has contributed to research in topics: Particulates & CAMX. The author has an hindex of 8, co-authored 9 publications receiving 563 citations. Previous affiliations of Gary M. Wilson include Bay Area Air Quality Management District.
Papers
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Journal ArticleDOI
Development and application of a computationally efficient particulate matter apportionment algorithm in a three-dimensional chemical transport model
Kristina Wagstrom,Spyros N. Pandis,Spyros N. Pandis,Greg Yarwood,Gary M. Wilson,Ralph Morris +5 more
TL;DR: An on-line and an off-line version of a computationally efficient particulate matter source apportionment algorithm have been developed and compared using the three-dimensional chemical transport model PMCAMx as mentioned in this paper.
Journal ArticleDOI
The decoupled direct method for sensitivity analysis in a three-dimensional air quality model--implementation, accuracy, and efficiency.
TL;DR: The DDM was found to be highly accurate for calculating the sensitivity of the 3D model and the sensitivities obtained by perturbing the inputs converged toward the DDM sensitivities, as the brute-force perturbations became small.
Journal ArticleDOI
Comparison of Source Apportionment and Sensitivity Analysis in a Particulate Matter Air Quality Model
TL;DR: The results show that source contributions calculated by PSAT start to deviate from the actual model responses as indirect effects from limiting reactants or nonprimary precursor emissions become important.
Journal ArticleDOI
Comparison of source apportionment and source sensitivity of ozone in a three-dimensional air quality model.
TL;DR: The ozone source apportionment technology (OSAT) estimates the contributions of different sources to ozone concentrations using a set of tracers for NOx, total VOCs, and ozone and an indicator that ascribes instantaneous ozone production to NOx or V OCs, which explain, on average, 70% of the ozone concentrations.
Book ChapterDOI
Particulate Matter Source Apportionment Technology (PSAT) in the CAMx Photochemical Grid Model
TL;DR: The Particulate Matter Source Apportioning Technology (PSAT) has been developed for CAMx to provide geographic region and source category specific PM source apportionment information as mentioned in this paper, which is useful for: