Segmentation on temperature gradient microstructure data

Huey Long Chen, A. Ramachandra Rao, Miki Hondzo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationJoint Conference on Water Resource Engineering and Water Resources Planning and Management 2000
Subtitle of host publicationBuilding Partnerships
DOIs
StatePublished - Dec 1 2004
EventJoint Conference on Water Resource Engineering and Water Resources Planning and Management 2000 - Minneapolis, MN, United States
Duration: Jul 30 2000Aug 2 2000

Publication series

NameJoint Conference on Water Resource Engineering and Water Resources Planning and Management 2000: Building Partnerships
Volume104

Other

OtherJoint Conference on Water Resource Engineering and Water Resources Planning and Management 2000
CountryUnited States
CityMinneapolis, MN
Period7/30/008/2/00

Keywords

  • Batchelor spectrum
  • Segmentation algorithm
  • Temperature microstructure
  • Turbulent kinetic energy dissipation

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