School of Engineering and Technology, (SET)
 
CE74.55 : Modeling of Water Resources Systems  3(1-6)
 
Course objectives:
The objective of this course is to enhance students’ knowledge and skills on mathematical modelling of complex water resources and environmental problems, and provide them with hands-on practice with several well-recognized and popular computer models for water resources development, planning, and management.
 
Learning Outcomes:
The students on completion of this course would be able to:
  •  Analyze the hydrologic and water resources problems from the perspective of application of modeling tools;
  •  Develop and/or identify suitable models and data required to analyze the hydrologic and water resources system;
  •  Critically evaluate various scenarios and options as possible solution(s) to the water resources problems;
  •  Communicate modeling results to water resources planners and decision makers; and
  •  Comprehend the potential and limitations of computer models in water resources.
 
Pre-requisite(s):

CE74.11 (Watershed Hydrology)
 
Course Outline:
I           Introduction to Modeling
1.     Need of modeling
2.     Classification of models
3.     Categories of mathematical models
4.     Modeling Process
5.     Advantages and limitations of modeling

II          Computer Models for Surface Hydrology
1.    Loss models
2.    Direct runoff models
3.    Flow routing models
4.    Base flow modeling

III         Computer Models for Reservoir Simulation
1.    Role and application of reservoir
2.    Reservoir modeling and routing
3.    Reservoir physical and operational components
4.    Reservoir release decision process and operation rules
5.    Concept of reservoir systems

IV        Computer Models for River Hydraulics
1.    Numerical solution of Saint-Venant equations
2.    Solution scheme
3.    Data requirement
4.    Initial and boundary condition
5.    Floodplain modeling
 
V         Computer Models for River Water Quality
1.    Segmentation and hydraulics
2.    Flow balance
3.    Hydraulic Characteristics
4.    Temperature modeling
5.    Modeling of water quality constituents

VI        Computer Models for Groundwater Flow
1.    Groundwater movement
2.    Aquifers and their types
3.    Groundwater flow equation
4.    Finite-difference method
5.    Initial and boundary conditions
 
Laboratory Sessions:
I           Lab exercise and group project work on application of HEC-HMS

II          Lab exercise and group project work on application of HEC-ResSim

III         Lab exercise and group project work on application of MIKE 11
 
IV        Lab exercise and group project work on application of QUAL2K

V         Lab exercise and group project work on application of Visual MODFLOW
 
Learning Resources:

Textbook:

No designated text book, but class notes and handouts will be provided

 
Reference Books:
1.    Loucks, D.P. and van Beek, E. (2005): Water Resources Systems Planning and Management: An Introduction to Methods, Models and Applications, UNESCO Publishing, France.
2.    Singh, V. P. (Editor), (1995): Computer Models of Watershed Hydrology, Water Resources Publications, Colorado, USA.
3.    Maidment, D. R. (Ed), (1993): Handbook of Hydrology, McGraw-Hill, Inc., USA.
4.    Chapra, S.C. and Canale, R.P. (2010): Numerical Methods for Engineers, sixth edition, McGraw-Hill Press, USA.
5.    Olsen, N.R. (2012): Numerical Modelling and Hydraulics, Third edition, Department of Hydraulic and Environmental Engineering, The Norwegian University of Science and Technology, Norway.
 
Journals and Magazines:
1.    Environmental Modeling and Software, Elsevier
2.    Journal of Water Resources Planning and Management, American Society of Civil Engineers (ASCE)
3.    Journal of Hydrology, Elsevier


Others:
1.    USACE (2000 and 2015): HEC-HMS: Technical Reference Manual (2000) and User’s Manual (2015), Hydrologic Engineering Center, US Army Corps of Engineers, Davis, CA, USA.
2.    USACE (2013): HEC-ResSim: Quick Start Guide (2013) and User’s Manual (2013), Hydrologic Engineering Center, US Army Corps of Engineers, Davis, CA, USA.
3.    DHI (2012): MIKE11: Reference Manual (2012) and User Guide (2012), DHI – Water and Environment, Denmark.
4.    Chapra, S.C. and Pelletier, G.J. (2003): QUAL2K: A Modeling Framework for Simulating River and Stream Water Quality: Documentation and User’s Manual, Civil and Environmental Engineering Dept., Tufts University, Medford, MA.
5.    Harbaugh, A.W. (2005): MODFLOW-2005, The U.S. Geological Survey modular ground-water model—the Ground-Water Flow Process: U.S. Geological Survey Techniques and Methods 6-A16.
6.    Droogers, P. and Immerzeel, W.W. (2006): Calibration Methodologies in Hydrological Modelling: State of the Art, Research report no.2, IWMI.
 
Time Distribution and Study Load:
Lectures                                                                  15h
Lab exercises and Group project work              80h
Presentations and discussion                              7h
Special seminars                                                     3h
Self-study                                                                  45h
 
Teaching and Learning Methods:
Teaching and learning methods include lectures, lab exercises, group project work and presentation and special seminars. Group project assignments are based on the real water projects for students to appreciate the application of modeling tools. Special seminars are presented by senior doctoral and masters students who are using modeling tools in their research. Additionally, published journal articles on development and application of various modeling tools are provided to the students for self-study.
 
Evaluation Scheme:
The final grade is computed according to the following weight distribution: Mid-semester Exam (20%), Final Exam (30%) and Projects (50%). Open-book examination is given in both mid-semester and final exams.

An “A” will be awarded if a student is able to demonstrate exemplary knowledge, understanding, application, and interpretation of the range of hydrological and water resources models taken up in the course. It is also expected that students in this category will be aware of the various limitations of models, and be able to work within modeling constraints. Furthermore, students in this category will participate actively (and possibly lead) group projects and discussion. A “B” will be awarded if a student is able to show adequate understanding over the theoretical subject matter. However, practical application in developing and using computer models, and interpreting their results, is found wanting. A “C” will be given if a student demonstrates satisfactory command over at least a few topics. While the practical aspects may be found wanting, the instructor is convinced that sufficient efforts have been made by the student. A “D” will be given if a student has acquired minimal knowledge of the subject matter, and does not appear motivated to learn new things.
 
Instructor(s):
SECTION NAME
A Prof. Mukand S. Babel