Removing Wave Bias from Velocity Measurements for Tracer Transport: The Harmonic Analysis Approach

Estimates of turbulence properties with Acoustic Doppler Current Profiler (ADCP) measurements can be muddled by the influence of wave orbital velocities. Previous methods—Variance Fit, Vertical Adaptive Filtering (VAF), and Cospectra Fit (CF)—have tried to eliminate wave-induced contamination. Howev...

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Main Authors: Sangdon So, Arnoldo Valle-Levinson, Jorge Armando Laurel-Castillo, Junyong Ahn, Mohammad Al-Khaldi
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/4/1138
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author Sangdon So
Arnoldo Valle-Levinson
Jorge Armando Laurel-Castillo
Junyong Ahn
Mohammad Al-Khaldi
author_facet Sangdon So
Arnoldo Valle-Levinson
Jorge Armando Laurel-Castillo
Junyong Ahn
Mohammad Al-Khaldi
author_sort Sangdon So
collection DOAJ
description Estimates of turbulence properties with Acoustic Doppler Current Profiler (ADCP) measurements can be muddled by the influence of wave orbital velocities. Previous methods—Variance Fit, Vertical Adaptive Filtering (VAF), and Cospectra Fit (CF)—have tried to eliminate wave-induced contamination. However, those methods may not perform well in relatively energetic surface gravity wave or internal wave conditions. The Harmonic Analysis (HA) method proposed here uses power spectral density to identify waves and least squares fits to reconstruct the identified wave signals in current velocity measurements. Then, those reconstructed wave signals are eliminated from the original measurements. Datasets from the northeastern Gulf of Mexico and Cape Canaveral, Florida, are used to test this approach and compare it with the VAF method. Reynolds stress estimates from the HA method agree with the VAF method in the lower half of the water column because wave energy decays with depth. The HA method performs better than the VAF method near the surface during pulses of increased surface gravity wave energy.
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spelling doaj.art-079e6cda2570496c829b5d8daf4c9bab2023-11-19T21:51:33ZengMDPI AGWater2073-44412020-04-01124113810.3390/w12041138Removing Wave Bias from Velocity Measurements for Tracer Transport: The Harmonic Analysis ApproachSangdon So0Arnoldo Valle-Levinson1Jorge Armando Laurel-Castillo2Junyong Ahn3Mohammad Al-Khaldi4Civil and Coastal Engineering, University of Florida, Gainesville, FL 32611, USACivil and Coastal Engineering, University of Florida, Gainesville, FL 32611, USANational Water Commission, Mexico City 04340, MexicoMechanical and Civil Engineering, Florida Institute of Technology, Melbourne, FL 32901, USAKuwait Institute for Scientific Research, Safat 13109, KuwaitEstimates of turbulence properties with Acoustic Doppler Current Profiler (ADCP) measurements can be muddled by the influence of wave orbital velocities. Previous methods—Variance Fit, Vertical Adaptive Filtering (VAF), and Cospectra Fit (CF)—have tried to eliminate wave-induced contamination. However, those methods may not perform well in relatively energetic surface gravity wave or internal wave conditions. The Harmonic Analysis (HA) method proposed here uses power spectral density to identify waves and least squares fits to reconstruct the identified wave signals in current velocity measurements. Then, those reconstructed wave signals are eliminated from the original measurements. Datasets from the northeastern Gulf of Mexico and Cape Canaveral, Florida, are used to test this approach and compare it with the VAF method. Reynolds stress estimates from the HA method agree with the VAF method in the lower half of the water column because wave energy decays with depth. The HA method performs better than the VAF method near the surface during pulses of increased surface gravity wave energy.https://www.mdpi.com/2073-4441/12/4/1138turbulenceADCP measurementwave biasReynolds stress
spellingShingle Sangdon So
Arnoldo Valle-Levinson
Jorge Armando Laurel-Castillo
Junyong Ahn
Mohammad Al-Khaldi
Removing Wave Bias from Velocity Measurements for Tracer Transport: The Harmonic Analysis Approach
Water
turbulence
ADCP measurement
wave bias
Reynolds stress
title Removing Wave Bias from Velocity Measurements for Tracer Transport: The Harmonic Analysis Approach
title_full Removing Wave Bias from Velocity Measurements for Tracer Transport: The Harmonic Analysis Approach
title_fullStr Removing Wave Bias from Velocity Measurements for Tracer Transport: The Harmonic Analysis Approach
title_full_unstemmed Removing Wave Bias from Velocity Measurements for Tracer Transport: The Harmonic Analysis Approach
title_short Removing Wave Bias from Velocity Measurements for Tracer Transport: The Harmonic Analysis Approach
title_sort removing wave bias from velocity measurements for tracer transport the harmonic analysis approach
topic turbulence
ADCP measurement
wave bias
Reynolds stress
url https://www.mdpi.com/2073-4441/12/4/1138
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AT jorgearmandolaurelcastillo removingwavebiasfromvelocitymeasurementsfortracertransporttheharmonicanalysisapproach
AT junyongahn removingwavebiasfromvelocitymeasurementsfortracertransporttheharmonicanalysisapproach
AT mohammadalkhaldi removingwavebiasfromvelocitymeasurementsfortracertransporttheharmonicanalysisapproach