Download COURSE OUTLINE CIVE 522 – Engineering Hydrology Credits

COURSE OUTLINE
CIVE 522 – Engineering Hydrology
Credits: 3
Term(s) to be offered: Spring
Prerequisite: CIVE 520, Physical Hydrology
Catalog description: Rainfall-runoff analysis; hydrologic design under uncertainty; conventional
and remote sensing; design flows and storms; river routing; reservoir design; watershed models.
Instructor: Jorge A. Ramírez, A222 Eng., 491-7621
Text: Course handouts are provided to cover the required material in the course.
To provide an overview of available book on topics in hydrology, the following books have
been placed on reserve at the Morgan Library.
1. Applied Hydrology by Ven Te Chow, David Maidment, and Larry W. Mays. McGraw Hill, 1988.
2. Dynamic Hydrology by Peter S. Eagleson. McGraw Hill, 1970.
3. Kinematic Wave Modeling in Water Resources by Vijay P. Singh. John Wiley and Sons, Inc. 1996.
4. Probability, Statistics, and Decision for Civil Engineers, by Jack R. Benjamin and C. Allin Cornell.
McGraw Hill, 1970.
5. Hydrology, an Introduction to Hydrologic Science by Rafael L. Bras. Addison Wesley, 1990.
6. Introduction to Hydrology by Warren Viessman, John Knapp, Gary Lewis, Terence Harbaugh.
Crowell, Harper and Row, 1977.
Course Objectives: This course emphasizes engineering applications of hydrologic science. Rainfallrunoff analysis. Lumped and distributed flow routing. Reservoir and river flood routing. Kinematic,
diffusive and dynamic waves. Precipitation data analysis and optimal interpolation. Hydrologic design:
risk analysis, hydro-economic analysis, and analysis of uncertainty. Bayesian decision analysis. Design
storms. Design flows. Hydrologic reservoir design. Watershed modeling applied to hydrologic design.
Upon successful completion of this course, the student will be able to:
• Use the principles of linear systems including the instantaneous unit hydrograph to describe,
model, and predict the response of streams, reservoirs and basins.
• Route floods through streams and reservoirs.
• Derive the and use the Saint-Venant equations of flow.
• Use kinematic, diffusive, and dynamic wave approximations to describe and route flows on
the hillslope and in streams.
• Carry out hydrologic design under uncertainty using hydroeconomic analysis, first order
analysis, and advanced first order-second moment analysis of uncertainty.
• Carry out optimal interpolation of hydrologic fields, in particular precipitation, using kriging.
• Derive and implement design storms for hydrologic analysis.
Course Topics/Weekly Schedule:
Week Topic
1.
Linear System Theory and Rainfall-Runoff Analysis
2.
Unit hydrograph theory, Instantaneous unit hydrograph (IUH) analysis
3.
Linear channel, Linear reservoir, Nash model
4.
River and Reservoir Flood Routing, Mass curve method, Storage indication method, Puls
method, Goodrich method, Coefficient method, Woodward method
5.
Linear Muskingum method, Analytical Solution, Hydraulic analogy, Parameter estimation
procedures, Muskingum-Cunge method, Kinematic wave and Overland Flow
6.
Analytical solution - Overland flow problem, Linear and non-linear numerical solutions,
Overland Flow with spatially variable infiltration, Routing of diffusive and dynamic waves
7.
Hydrologic Design, Design scale and level
8.
Risk Analysis, Hydroeconomic Analysis, First Order Analysis of uncertainty, Composite Risk
Analysis
9.
Risk Analysis of safety factors and safety margins, Hydrologic design under natural and
parameter uncertainty, Value of Sample Information
10.
Precipitation data analysis
11.
Precipitation Modeling
12.
Mean Areal Precipitation: Thiessen polygons - Isohyets - IWD Methods, Kriging, Kriging
with covariances, Kriging with semivariograms, Co-Kriging, Orographic Influences
13.
Design Storms, Design precipitation depth, Point precipitation, Areal precipitation, IntensityDuration-Frequency (IDF) Curves
14.
Design Hyetographs, Storm event-based analysis, IDF-based analysis
15.
Estimated Limiting Storms, Frequency analysis
Instructional Methodology: Three lectures per week.
Mode of Delivery: Traditional lectures in class and via the course website for distance students.
Methods of Evaluation: The course grade will be based on the following distribution:
Homework
Two Exams
Final Exam
Total
25%
50%
25%
100%