Course Summary
 Solutions of surface and subsurface flow and transport problems commonly found in the environmental field.
 Modeling strategies include analogs, percolation models, statistical models, as well as mathematical processoriented models that can be solved analytically or numerically.
Course Instructors
Course Readings
Course Time and Location
 Tuesday, 2:00  4:45 pm
 GGY Building (somewhere...)
Grading
 25% Weekly Assignments
 25% Midterm Project (due Week 8)
 25% Final Project (due Week 15)
 25% Class Participation
Academic Honesty and Plagiarism
 All academic work must meet the standards contained in the University's academic honesty policy (see A Culture of Honesty).
 All students are responsible for informing themselves about those standards before performing any academic work.
 The penalties for academic dishonesty are severe (see Sanctions for Dishonesty), and ignorance is not an acceptable defense.

Course Syllabus
 Introduction
 What is a model?
 Modeling in environmental management
 The modeling process
 Analog models
 Scale models
 Process analogs
 Network models
 Nodes and bonds
 Entities and relationships
 Statistical models
 Basics
 Linear regression (ordinary least squares)
 Time series analysis
 Correlation analysis
 Mathematical models
 Basics
 Equilibrium models (e.g., fugacity)
 ODEs: Firstorder rate reactions
 PDEs: Advection and streamlines
 PDEs: Diffusion and dispersion
 Model requirements
 Geometry
 Material properties
 Initial and boundary conditions
 Solving differential equations
 Analytic solvers (Laplace transform)
 Finite difference equation
 Finite element equation
 Integral formulation
 Cauchy's integral theorem
 Boundary element method
 Analytic element method
