Temperature Modeling of Lost Creek Lake Using CE-QUAL-W2:A Report on the Development, Calibration, Verification, and Application of the Model

Abstract

The U.S. Army Corps of Engineers Engineer Research and Development Center (USACE-ERDC) Environmental Lab (EL) assisted USACE, Portland District (CENWP) in updating a CE-QUAL-W2 (W2) model of Lost Creek Lake based on a previous version of W2. The model was calibrated using data from calendar year (CY) 2001 validated with data from calendar years 2003 and 2010. One set of W2 parameters were successfully applied to all calendar year types (2001 is a dry year; 2003 is a normal year; and 2010 is a wet year). This model and the corresponding results from the study provided CENWP with more refined estimates of water temperatures so that more defendable water temperature targets can be discussed with the state of Oregon. This is extremely important because the Rogue and Applegate temperature Total Maximum Daily Loads and Rogue Spring Chinook Conservation Plan require the Corps to review the Rogue Basin Project operations to determine whether improvements can be achieved to downstream temperature for the benefit of endangered fish. In addition to modeling the basic calibration for three years, a modified version of W2 was used to create a predictive model to determine the best blending of the intake ports to meet the temperature targets.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2017
Accession Number
AD1032332

Entities

People

  • Barry W. Bunch
  • Daniel F. Turner
  • David L. Smith
  • Dorothy H. Tillman
  • Laurie A. Nicholas
  • Tammy L. Threadgill

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Army
  • Army Corps Of Engineers
  • Blending
  • Calibration
  • Cloud Cover
  • Data Analysis
  • Ecology
  • Engineers
  • Fish
  • Geometry
  • Meteorological Data
  • Meteorology
  • Predictive Modeling
  • Statistics
  • Verification
  • Water Quality
  • Wildlife

Fields of Study

  • Environmental science

Readers

  • Climatology
  • Computational Modeling and Simulation
  • Riverine Ecology