HÄ°D653 - ADVANCED HYDROGEOLOGICAL MODELS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
ADVANCED HYDROGEOLOGICAL MODELS HÄ°D653 Any Semester/Year 2 3 3 7.5
PrequisitesNone
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Problem Solving
Other: Research  
Instructor (s)Levent TEZCAN 
Course objectiveSolution of the hydrogeological problems by mathematical models, testing and comparison of alternative groundwater exploitation and management approaches by models 
Learning outcomes
  1. At the end of the course students will learn;
  2. The concept of conceptualization and how to develop the conceptual model,
  3. To analyze the groundwater flow and transport processes by numerical analysis,
  4. The mathematical and physical expression the boundary conditions of hydrogeological system,
  5. To model the hydrogeological systems,
  6. To use the models as a management tool.
Course ContentBasic descriptions, , mathematical expression of the groundwater flow and transport processes, numerical analysis techniques for the solution of the groundwater flow & transport problems, conceptualization, boundary conditions, classification of the hydrogeological modeling and numerical solution approaches, model design, model parameters and calibration, prediction and scenario design, model applications 
ReferencesHarbaugh, 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, variously p.
McDonald, M.G., and Harbaugh, A.W., 1988, A modular three- dimensional finite-difference ground-water flow model: U.S. Geological Survey Techniques of Water-Resources Investigations, book 6, chap. A1, 586 p.
Hill, M.C., 1998, Methods and guidelines for effective model calibration: U.S Geological Survey Water- Resources Investigations Report 98-4005, 90p.
Hill, M.C., and Tiedeman, C.R., 2007, Effective groundwater model calibration, with analysis of sensitivities, predictions, and uncertainty: New York, New York, Wiley, 455p.
Anderson, M.P. and W.W. Woessner, 1992, Applied Groundwater Modeling: Simulation of Flow and Advective Transport, Academic Press, 381 p.
 

Course outline weekly

WeeksTopics
Week 1Concept and basics of modelling
Week 2Conceptual model & conceptualization
Week 3Groundwater flow and transport equations, numerical solutions
Week 4Boundary conditions, hydrogeological boundaries and their mathematical expressions
Week 5Numerical models and properties
Week 6Transferring the conceptual model to numerical model
Week 7Model design
Week 8Model parameters and calibration
Week 9Calibration Tools
Week 10Sensitivity Analysis
Week 11Predictions and Scenarios
Week 12Evaluation of the model results and uncertainities
Week 13Case Studies
Week 14Case Studies
Week 15Case Studies
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application820
Field activities00
Specific practical training00
Assignments820
Presentation00
Project220
Seminar00
Midterms00
Final exam140
Total100
Percentage of semester activities contributing grade succes060
Percentage of final exam contributing grade succes040
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 2 28
Laboratory 0 0 0
Application14342
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)10550
Presentation / Seminar Preparation000
Project22040
Homework assignment8540
Midterms (Study duration)000
Final Exam (Study duration) 12525
Total Workload4960225

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Student reaches, interprets and uses the information by using all aspects of scientific research techniques.    X
2. Student closely follows the science and technology, has in-depth knowledge on techniques and methods of the fields of earth sciences and engineering and the management and solution of engineering problems related with water resources.    X
3. Student knows data collection techniques, if needed, fill in the limited or missing data sets by means of scientific techniques and use the data sets.    X
4. Student interprets and combines the information from different disciplines.    X
5. Student recognizes lifelong learning and universal values and is aware of new and emerging applications in earth sciences.    X
6. Student defines engineering problems and develops innovative methods on problem solving and design enhancement    X
7. Student, in addition to his/her ability to work independently, leads multidisciplinary team work, produces solutions for complex situations by taking responsibility. X   
8. Student has the ability of developing new and original ideas and methods.   X 
9. Student uses the foreign language in verbal and written communication, at least at the level of the European Language Portfolio B2.X    
10. Student presents the results of processes of a study with an open and systematic manner in the national and international scientific platforms. X   
11. Student respects rules of social and scientific ethics at all stages of his/her research, takes into account the social and environmental effects in engineering applications. X   
12. Student can design and organize experimental laboratory and field studies within the scope of his/her research.    X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest