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• W4225279502 abstract "Horizontal radial plume mapping is a cost-effective optical remote sensing method for sensitive mapping concentration distribution of atmospheric chemicals in real time. However, its sparse sampling poses challenges for reconstruction algorithms. Neither non-smooth nor smooth algorithms can recover the realistic plume shape. A new approach called Gaussian dispersion transformation (GDT) has been proposed. It first reconstructs the emission rates from unknown sources. Then concentrations are calculated through a transformation matrix defined by a Gaussian dispersion model. Smoothness regularization is also applied during the reconstruction. The method was evaluated by using randomly generated maps. It shows significant improvement over a reconstructed plume shape. The nearness shows 72%-117% better than the non-negative least-square (NNLS) algorithm and 15%-26% better than the low third derivative (LTD) algorithm. A controlled-release field experiment of methane was also conducted. The realistic concentration distribution was calculated by using a Lagrangian stochastic dispersion model. The GDT algorithm successfully recovered the realistic plume shape. The nearness shows approximately 16% better than the NNLS and the LTD algorithms. Finally, a sensitivity analysis shows that the wind direction and atmospheric stability are the main parameters that affect the performance of the GDT algorithm." @default.
• W4225279502 created "2022-05-04" @default.
• W4225279502 creator A5026512168 @default.
• W4225279502 creator A5042135582 @default.
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• W4225279502 date "2022-05-16" @default.
• W4225279502 modified "2023-09-26" @default.
• W4225279502 title "Evaluation of a Gaussian dispersiontransformation technique for tomographicmapping of concentration field of atmosphericchemicals using multi-path optical remotesensing" @default.
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• W4225279502 doi "https://doi.org/10.1364/ao.453052" @default.
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