Optimization-Based Atmospheric Plume Source Identification |
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| Authors: | Amvrossios C. Bagtzoglou Eric D. Kenney April Hiscox David R. Miller |
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| Affiliation: | 1. Department of Civil and Environmental Engineering , University of Connecticut , Storrs , CT , USA;2. CDM Smith , Fairfax , VA , USA;3. Department of Geography , University of South Carolina , Columbia , SC , USA;4. Department of Natural Resources and Environment , University of Connecticut , Storrs , CT , USA |
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| Abstract: | This work applies optimization and an Eulerian inversion approach presented by Bagtzoglou and Baun in 2005 in order to reconstruct contaminant plume time histories and to identify the likely source of atmospheric contamination using data from a real test site for the first time. Present-day distribution of an atmospheric contaminant plume as well as data points reflecting the plume history allow the reconstruction and provide the plume velocity, distribution, and probable source. The method was tested to a hypothetical case and with data from the Forest Atmosphere Transfer and Storage (FACTS) experiment in the Duke experimental forest site. In the scenarios presented herein, as well as in numerous cases tested for verification purposes, the model conserved mass, successfully located the peak of the plume, and managed to capture the motion of the plume well but underestimated the contaminant peak. |
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| Keywords: | inverse problem pollution source identification Marching-Jury Backwards Beam-Plate Equation (MJBPE) optimization smoke plume experiment Duke Forest site |
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