Simulating Great Lakes Water Levels for Erosion Prediction

Abstract

An investigation of monthly average lake levels is provided to enable the predictive portion of the lake level signal to be separated from random noise residual. Various empirical linear models are proposed and compared in a predictive mode to a portion of the historical record not used in the model parameter estimation. Models used for prediction, and hence simulation, assume a deterministic seasonal cycle as well as a longer term lake level pseudocycle consisting of correlated random noise. Residual analysis is performed to enable the models to be used in a simulation mode. The models developed are shown to provide satisfactory results for use in simulating future scenarios of the longer term lake level cycles and pseudocycles to drive shoreline erosion models.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1990
Accession Number
ADA226713

Entities

People

  • Todd L. Walton Jr.

Organizations

  • Coastal Engineering Research Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Army
  • Army Corps Of Engineers
  • Civil Engineering
  • Classification
  • Coastal Engineering
  • Data Science
  • Databases
  • Engineering
  • Engineers
  • Great Lakes
  • Information Processing
  • Information Science
  • Knowledge Management
  • Simulations
  • Surveys
  • United States

Readers

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