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Reconstruction of a velocity field for a 3-D advection–diffusion equation
This work deals with the reconstruction of a piecewise constant velocity field for a 3-D advection–diffusion equation. Reconstructing a velocity field often plays an important role in understanding the formation and evolution of orogenic topography. In order to suppress measurement errors and to ide...
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Published in: | International journal of thermal sciences 2011-12, Vol.50 (12), p.2340-2354 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This work deals with the reconstruction of a piecewise constant velocity field for a 3-D advection–diffusion equation. Reconstructing a velocity field often plays an important role in understanding the formation and evolution of orogenic topography. In order to suppress measurement errors and to identify sharp features, we propose a new regularization integrating an
l
1 data fidelity with a total variation
1
1
Total variation is abbreviated to
TV. The combination of an
l
1 data fidelity and an
l
2 penalty term is abbreviated to (
l
1 +
l
2). The combination of an
l
2 data fidelity and
TV penalty term is abbreviated to (
l
2 +
TV). The combination of an
l
1 data fidelity and
TV penalty term is abbreviated to (
l
1 +
TV). The combination of an
l
2 data fidelity and an
l
2 penalty term is abbreviated to (
l
2 +
l
2).
penalty term to reconstruct a piecewise constant velocity field. For testing the performance of our proposed regularization method, we compare four different regularization methods. From numerical experiments, we can draw conclusions: (I) an
l
1 data fidelity can suppress measurement errors including Gaussian noise and non-Gaussian noise; (II) a total variation penalty term has the ability to identify sharp features.
► Reconstructing a 3-D velocity field for low/high tectonic activities. ► Designing an algorithm to suppress outliers and to identify discontinuities. ► Comparing four different regularization methods. |
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ISSN: | 1290-0729 1778-4166 |
DOI: | 10.1016/j.ijthermalsci.2011.08.002 |