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The purpose of this course is to give you a good introduction
to practical groundwater flow and contaminant transport modeling and stochastic
groundwater modeling. The course is designed as hands-on and application
oriented. We will cover the fundamental modeling theories but the emphasis will
be on high-level conceptual modeling, and teaching you how to solve complex
real-world problems related to groundwater contamination characterization,
pollution control, remediation, and water resources management. You will be
learning groundwater modeling and modeling theories by actually building models
as a class, individually, and in groups for several real-world sites.
Dr.
Shu-Guang Li (http://www.egr.msu.edu/~lishug/),
Associate Professor of Civil and Environmental Engineering. You are encouraged
to communicate with the instructor in whichever system works to your advantage.
The options are office visit (RCE 123), emails ( lishug@egr.msu.edu), telephone (429-1929),
and through groundwater
modeling forum
Mondays/Wednesdays 17:00-18:20 PM.
Classroom: 1257 Anthony Hall
Office
Hours:
Mondays/Wednesday,
16:00-17:00 PM, other times by appointment
Anderson
and Woessner, Applied Groundwater Modeling , Academic Press. ISBN
0-12-059485-4
This is a good and very readable
textbook on groundwater modeling. The focus is less on fundamental theory and
more on practical application. It fits our needs for this class well and it
should be a good reference book for you in your future modeling careers.
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Date
|
Course topics
|
Readings
|
Homework/
Projects
|
Remarks
|
|
1 |
1/7 |
Overview
of groundwater modeling and motivational case studies |
Anderson
chapter 1 |
|
|
|
2 |
1/9 |
Box
type flow models, water balance analysis and applications |
Handout |
|
|
|
3 |
1/14 |
Box
type water quality models, contaminant mass balance analysis and
applications. In
class practice problem |
|
Pb
1: Hazardous waste site containment Pb2, Coupled lake and aquifer
contamination Pb3, Pesticide
contamination and endangered minnows Due
1/23 |
|
|
4 |
1/16 |
Spatially
variations, distributed modeling, finite-difference modeling of 2D aquifer
flow, truncation error and grid design, solution of matrix systems |
|
Pb4, Aquifer flow
model - derivation of a general numerical scheme |
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|
|
1/21 |
MLK
Holiday - Class canceled |
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|
5 |
1/23 |
Advanced
iterative methods. Flow analysis and visualization, head contours,
streamline, pathline, velocity vectors. Particle tracking theory, euler
method and Runge Kutta method. Interactive experiments of solution methods
and algorithmic visualization |
Handout
(Wang and Anderson), Chap
11 |
|
|
|
6 |
1/28 |
Complex
models, modeling heterogeneity, curved boundaries, impervious area; Modeling
unconfined aquifers, non-linearity and water table iterations, aquifer drying
and rewetting; Introduction
to Interactive
Groundwater 3.2: real-time modeling, visualization, monitoring, and
analysis. Water budget analysis. |
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|
|
|
7 |
1/30 |
In
class hands on investigation: Modeling
groundwater flow at the East Multnomah County site, Oregon and delineating
wellhead protection areas for Interlachen community. |
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|
|
8 |
2/4 |
Modeling
complex sources and sinks, wells, large perennial rivers,
shallow/intermittent streams and creeks, lakes, springs, wetlands, surface
seepage, groundwater drains, natural recharge, evapotranspiration. Modeling
groundwater surface water interaction. |
Chap
5 |
|
|
|
9 |
2/6 |
Boundary
fluxes, geological boundaries, “remote” boundaries, hydraulic boundaries,
simulated boundaries. Nested models and telescopic approach, multi-scales and
multi-resolution modeling. |
Chap
4 |
|
|
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10 |
2/11 |
In
class hands-on investigation: Hubbertville
water supply development and its impact on a nearby swamp and waterfowl
habitat. |
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|
11 |
2/13 |
In
class hands-on investigation: Modeling
groundwater flow and offsite advective contaminant transport in the
sand/gravel aquifer at the St. Johns Landfill |
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|
|
|
12 |
2/18 |
Modeling
aquifer-aquitard systems, aquifer interactions; Vertical discretization,
quasi-3D modeling, fully 3D modeling. Computational issues, profile modeling. Introduction
to
Interactive Groundwater 4.0. Real-time demonstration and tutorial |
Chap
3 |
|
|
|
13 |
2/20 |
In
class hands-on investigation: 3D
GW flow modeling at the Monahne River groundwater contamination site |
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14 |
2/25 |
Unsteady flow modeling. Aquifer storage, elastic vs. drainage storage coefficient, Selection of time steps, numerical stability, initial conditions, cyclic conditions, simulated initial conditions. |
Chap
7 |
|
|
|
15 |
2/27 |
In class hands-on investigation. Modeling leachate mounding and post-closure dissipation at the St. Johns Landfill, Portland, Oregon: Modeling
dynamic interaction between the Columbia river and the sand/gravel aquifer |
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3/4 |
Spring
Break |
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3/6 |
Spring
Break |
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16 |
3/11 |
Woburn
Superfund site project, team-based collaborative investigation. Arguments of
defenses and plaintiff |
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17 |
3/13 |
Solute
transport modeling, Transport process visualization. Advection and particle
tracking. Molecular diffusion, hydrodynamic dispersion, macrodispersion,
random walk |
Handout |
|
|
|
18 |
3/18 |
Sorption
and reactions, Advection dispersion reaction equation Linear
isotherm and retardation. Partitioning coefficients for hydrophobic organic
contaminants |
Handout |
|
|
|
19 |
3/20 |
Numerical
methods for solving advection dominated dispersion equation. Random walk
approach, method of characteristics, operator splitting, time-step selection,
grid-design and numerical dilution/dispersion. Interactive experiments with
different transport solvers, algorithmic visualization. Reactive transport
visualization |
Handout |
|
|
|
20 |
3/25 |
In
class hands-on investigation: 3D
transport modeling at the Monahne River groundwater contamination site –
designing an extraction system. |
|
|
|
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21 |
3/27 |
Calibration
and inverse modeling, calibration parameters, targets, criteria, and
guideline. Error analysis.
Visual calibration. |
Chap
8 |
|
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|
22 |
4/1 |
Parameter
uncertainty and sensitivity analysis; Random variable representation and
uncertainty propagation, stochastic modeling/Monte Carlo simulation,
Probabilistic characterization: means, variances, and probability |
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|
23 |
4/3 |
Distributed
small-scale heterogeneity, real-world data. In-class
hands-on exploration of effects of heterogeneity on solute transport: conductivity heterogeneity, porosity
variability, variability in partition coefficient, temporal variability,
recharge variability; interaction of geological, hydrological, and chemical
heterogeneity; effect of heterogeneity on cleanup efficiency |
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|
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24 |
4/8 |
Characterization
of heterogeneity. Geostatistics, spatial data analysis, statistical
inferences, random field representation, random field generation and
algorithm |
|
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|
25 |
4/10 |
Analysis
of heterogeneity. Effective hydraulic conductivity, heterogeneity vs.
anisotropy, field-scale macrodispersion, stochastic approach for estimating
field-scale dispersivity, |
|
|
|
|
26 |
4/15 |
Kriging,
ordinary and universal, and conditional simulation |
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|
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27 |
|
In
class hands-on investigation: Analysis
of Cape Cod site data, interactive visual experiments with various
deterministic and stochastic spatial interpolation and simulation techniques |
|
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28 |
4/17 |
Conditional
Monte Carlo simulation Probabilistic
characterization and analysis, mean head and plume and variance maps,
confidence intervals, probability and risks |
|
|
|
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29 |
4/22 |
Hands-on
investigation: Stochastic
modeling of solute transport at the Cape Cod site, Massachusetts,
unconditional and conditional Monte Carlo simulation. |
|
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30 |
4/24 |
Monitoring
and decision making under uncertainty |
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31 |
4/29
–5/3 Finals
week |
Woburn
project presentations and debate |
|
|
|
Grades will be given based upon
performance in homework/mini projects and a formal technical report and
presentation for the final term project (Woburn project) as follows:
1. Homework/mini-projects 60%
2. Term project written report 30 %
3. Term project presentation 10%
A30843685
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