Environmental and Water Quality Operational Studies: An Assessment of Reservoir Mixing Processes

Abstract

This report provides a literature review of reservior internal mixing processes, in which general transport processes, reservoir mixing processes and their effect on water quality, and one-dimensional predictive techniques and computer algorithms are presented and analyzed. The historical development of the recommended predictive techniques, including the assumptions, limitations, and advantages of the techniques used in the development, is also documented. The recommended one-dimensional mixing algorithm is generalized with respect to CE reservoirs and is not constrained by extensive data requirements nor limited in the mixing processes considered. The algorithm includes all major mixing processes in order to predict changes in the reservoir's mixing regime resulting from changes in hydrometeorological conditions and project operation. The recommended algorithms was used to simulate the thermal structure of over 15 reservoirs and lakes of varying geographical locations, size hydrometeorological regime, and operational configurations. The recommendations for the mixing algorithm are the opinions of the authors, and all phases of it are not necessary incorporated in the current one-dimensional CE reservoir model (CE- QUAL-R1).

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1986
Accession Number
ADA171650

Entities

People

  • Dennis E. Ford
  • Linda S. Johnson

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Boundary Layer
  • Buoyancy
  • Chemistry
  • Convection
  • Environmental Protection
  • Fluid Dynamics
  • Fluid Mechanics
  • Froude Number
  • Heat Transfer
  • Isotherms
  • Mechanics
  • Oceanography
  • Physics Laboratories
  • Solar Radiation
  • Stratified Fluids
  • Turbulence
  • Turbulent Mixing

Fields of Study

  • Environmental science

Readers

  • Archaeological Resource Survey
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Organizational Process Management (OPM).