ENGRCEE 279 Hydologic Computational Modeling (2017-2018)

ENGRCEE 279 Hydologic Computational Modeling

(Not required for any major.)
Catalog Data:

ENGRCEE 279 Hydologic Computational Modeling (Credit Units: 4) Computational modeling of multi-dimensional flow and scalar transport problems in surface and ground water. Topics include mathematical model formulation, numerical method selection, serial and parallel implementation, model verification and validation. Prerequisite: CEE272, CEE277, and CEE278. Graduate students only. (Design units: 0)

Required Textbook:
None
Recommended Textbook:
None
References:
  • Wendt, J.F. and J.D. Anderson, Computational Fluid Dynamics: An Introduction, Springer, 2009.
  • Batu, V., Applied Flow and Solute Transport Modeling in Aquifers: Fundamental Principles and Analytical and Numerical Methods, CRC, 2005.
  • Cunge, J.A., F.M. Holly, Jr., and A. Verwey, Practical Aspects of Computational River Hydraulics, Pitman Publishing, Inc., 1980
Coordinator:
Brett F. Sanders and Russell L. Detwiler
Relationship to Student Outcomes
No student outcomes specified.
Course Learning Outcomes. Students will:
Prerequisites by Topic
  • Elementary Fluid Mechanics
  • Fluid Mechanics of Open Channels
  • Groundwater Hydrology
  • Introductory Numerical Methods
  • Hydrologic Transport Fundamentals
Lecture Topics:
  • Discretization Approaches for Differential Equations (Week 1) [HW1]
  • Accuracy and Stability (Week 2) [HW2]
  • Explicit and Implicit Schemes for Flow Equations (Week 3 and 4)
  • [Project 1: 1D Flow Modeling – Due Week 7]
  • Multi-dimensional flow and transport equations (Week 5)
  • Multi-dimensional numerical methods (Week 6-7)
  • [Project 2: 2D Flow and Transport Modeling – Due Week 10]
  • Unstructured Grids (Weeks 8-9) [HW4]
  • Introduction to Parallel Computing (Week 10)
Class Schedule:

Meets for 3 hours of lecture and 1 hour of discussion each week for 10 weeks.

Computer Usage:

Ability to use spreadsheets, program in Matlab, Fortran or C/C++, and graphically display data. Homework assignments will require mathematical modeling; projects will involve 1D and 2D computational modeling.

Laboratory Projects:
Professional Component
Design Content Description
Approach:
Lectures:
Laboratory Portion:
Grading Criteria:
  • Midterm 30%
  • Homework 10%
  • Project 1 30%
  • Project 2 30%
  • Total: 100%
Estimated ABET Category Content:

Mathematics and Basic Science: 0.0 credit units

Computing: 0.0 credit units

Engineering Topics: 0.0 credit units

Engineering Science: 0.0 credit units

Engineering Design: 0.0 credit units

Prepared:
February 22, 2017
Senate Approved:
May 7, 2013
Approved Effective:
2013 Fall Qtr