ENCE 688D - Numerical Modeling for Water Resources and Environmental Engineering

Dr. Kaye L. Brubaker

Fall 1997, MW 5pm-6:15pm
EGR (Engineering Classroom Bldg.) 2112

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Instructor: Kaye L. Brubaker
Office: EGR 1159
Phone: 301-405-1965
Fax: 301-405-2585 (Department Fax -- please advise by phone or email if sending fax)
Email: klbrubak@eng.umd.edu

Check this page again for further developments.

Fall 1997 Class Resources

Matlab Scripts

Information on installing EPA's QUAL2E

Summary:
A rigorous introduction to the development and use of numerical models for water resources applications. Emphasis will be on understanding models as tools: where they come from, what they do, and their strengths and limitations. The goal of the course is to help students become wise users of models, not necessarily model-builders. Students will write and use computer programs in exercises designed to illustrate various modeling concepts. Examples will include both quantity and quality issues in surface and subsurface environments.
Topics (Preliminary):
  • Finite Difference and Finite Element representations
  • The Modeling Process (specification, selection, preliminary application, sensitivity, calibration, validation, robustness, management application, post-audit)
  • Relationship of Model and Data (effects of uncertainty and measurement scale)

    A Preliminary Class Schedule is available here.
    Textbook:
    There is no required textbook for this class. The bookstores have been asked to order copies of the following recommended textbooks:
  • Surface Water Quality Modeling, by Stephen C. Chapra, 1997
  • Introduction to Groundwater Modeling, by Herbert Wang & Mary Anderson, 1982.
    Copies of these books will be placed on reserve in the Engineering & Physical Sciences Library, along with additional references and required readings.
    Prerequisites:
  • Graduate-level course work in one of the following: hydrology, hydraulics, or environmental chemistry
  • Math: Ordinary Differential Equations; some experience with Partial Differential Equations and Linear Algebra; Basic Probability and Statistics
  • Basic mastery of a programming language
  • Permission of Dept. and Instructor
    [Mail] Click here to E-mail questions or comments.

    by Kaye Brubaker
    Last Modified 5 November 1997