TY - GEN
T1 - Segmentation on temperature gradient microstructure data
AU - Chen, Huey Long
AU - Rao, A. Ramachandra
AU - Hondzo, Miki
PY - 2004/12/1
Y1 - 2004/12/1
N2 - Several studies have suggested that small-scale fluid motion, scales smaller than a centimeter, influence the kinetics of biological and chemical particles in aquatic environments. One of the key intrinsic fluid flow parameters is the turbulent kinetic energy dissipation rate. The turbulent kinetic energy dissipation rate is obtainable through the indirect method of Batchelor curve fitting. The estimation procedure assumes homogeneous and isotropic turbulence at small scales. Therefore, the procedure requires partitioning each profile of non-stationary temperature gradient microstructure into stationary segments. In this study, ten profiles of temperature gradient microstructure measured in three inland lakes are analyzed by using a segmentation algorithm. Spectral changes in the temperature microstructure are compared using methods based on AR models and one based on wavelet analysis. Copyright ASCE 2004.
AB - Several studies have suggested that small-scale fluid motion, scales smaller than a centimeter, influence the kinetics of biological and chemical particles in aquatic environments. One of the key intrinsic fluid flow parameters is the turbulent kinetic energy dissipation rate. The turbulent kinetic energy dissipation rate is obtainable through the indirect method of Batchelor curve fitting. The estimation procedure assumes homogeneous and isotropic turbulence at small scales. Therefore, the procedure requires partitioning each profile of non-stationary temperature gradient microstructure into stationary segments. In this study, ten profiles of temperature gradient microstructure measured in three inland lakes are analyzed by using a segmentation algorithm. Spectral changes in the temperature microstructure are compared using methods based on AR models and one based on wavelet analysis. Copyright ASCE 2004.
KW - Batchelor spectrum
KW - Segmentation algorithm
KW - Temperature microstructure
KW - Turbulent kinetic energy dissipation
UR - http://www.scopus.com/inward/record.url?scp=74949133558&partnerID=8YFLogxK
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U2 - 10.1061/40517(2000)230
DO - 10.1061/40517(2000)230
M3 - Conference contribution
AN - SCOPUS:74949133558
SN - 0784405174
SN - 9780784405178
T3 - Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000: Building Partnerships
BT - Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000
T2 - Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000
Y2 - 30 July 2000 through 2 August 2000
ER -