Potential Improvements for HEC-HMS Automated Parameter Estimation

Abstract

Model independent enhancements and adaptations to the Gauss-Marquardt-Levenberg (GML) method of computer-based parameter estimation are described and demonstrated as potential improvements to existing HEC-HMS automatic calibration capabilities. In contrast to existing HEC-HMS automated parameter estimation capabilities, these methods support global optimization, the ability to simultaneously calibrate multiple subwatershed systems represented within an HEC-HMS model, and they also provide information about individual parameter sensitivities and parameter correlation during and at the end of the calibration process. Moreover, their model independent nature allows one to include into the calibration process (1) state information other than simply stream discharge data, (2) multiple periods, rather than a single time window, of the calibration dataset(s), and (3) the ability to weight data in order to accommodate a prediction specific calibration effort or to accommodate suspect and/or missing observations. The methods are demonstrated by calibrating HEC-HMS models to subwatershed systems in the Goodwin Creek Experimental Watershed.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2006
Accession Number
ADA455236

Entities

People

  • Brian E. Skahill

Organizations

  • Engineer Research and Development Center

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Automatic
  • Base Flow
  • Calibration
  • Computers
  • Confidence Limits
  • Data Science
  • Databases
  • Drainage Basins
  • Engineering
  • Equations
  • Information Science
  • Inverse Problems
  • Measurement
  • Monte Carlo Method
  • Simplex Method
  • Water Resources

Fields of Study

  • Environmental science

Readers

  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Computational Modeling and Simulation