Estimating Groundwater Flow Parameters Using Response Surface Methodology

Abstract

This thesis examined the use of response surface methodology (RSM) as a parameter estimation technique in the field of groundwater flow modeling. Using RSM, an attempt was made to calibrate three hydraulic parameters (porosity, transverse permeability, and rate of recharge) of an existing two- dimensional, steady-state flow model. The model simulated groundwater flow for a portion of landfill 10 located on Wright-Patterson Air Force Base, Ohio. The model had previously been calibrated by graphical matching observed water-levels to predicted water-levels. Using the parameter values from the earlier calibration effort as a starting point, a central composite design was developed and the simulation executed at each design point. A residual sum of squares function was used as the calibration criteria and an empirical model of the error surface was developed. Of the three hydraulic parameters, only transverse permeability had a significant effect on the response. The regression model also indicated the response had a high degree of variability. A graph of the regression equation revealed no local optima within the design region indicating the initial parameter estimates may not have been warranted. Parameter estimation, Model calibration, Response surface methodology, Groundwater flow models.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1994
Accession Number
ADA280630

Entities

People

  • Leo C. Adams

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Calibration
  • Computational Science
  • Computer Programs
  • Computers
  • Equations
  • Experimental Design
  • Groundwater
  • Mathematical Models
  • Measurement
  • Operating Systems
  • Regression Analysis
  • Simulations
  • Statistical Algorithms
  • Steady State
  • Test And Evaluation
  • Two Dimensional

Fields of Study

  • Agricultural and Food sciences

Readers

  • Computational Modeling and Simulation
  • Fluid Dynamics.
  • Groundwater Contamination Remediation.