HÄ°D627 - HYDROLOGIC MODELLING
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| HYDROLOGIC MODELLING | HÄ°D627 | Any Semester/Year | 2 | 3 | 3 | 7.5 |
| Prequisites | None | |||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Drill and Practice Other: Research | |||||
| Instructor (s) | Yrd.Doç.Dr. Levent TEZCAN | |||||
| Course objective | The estimation of the interactions within the hydrologic system by mathematical models within the concept of hydrologic modeling | |||||
| Learning outcomes |
| |||||
| Course Content | Basic descriptions, classification of hydrologic models, deterministic and stochastic modeling, Integrated Hydrologic Models, the spatial and temporal distribution of the hydrologic system components, hydrologic processes and modeling approaches, model parameters and parameter estimation, forecasting, integrated water management. | |||||
| References | Beven, K.J., Kirkby, M.J., Schoffield, N., and Tagg, H., 1984, Testing a physically-based flood forecasting model (TOPMODEL) for three UK catchments: Journal of Hydrology, v. 69, p. 119-143. Leavesley, G.H., Lichty, R.W., Troutman, B.M., and Saindon, L.G., 1983, Precipitation-runoff modeling system-User's manual: U.S. Geological Survey Water-Resources Investigations Report 83-4238, 207 p. Maidment, D.R., ed., Handbook of Hydrology: New York, McGraw-Hill, Inc USACE, 2005, Hydrologic Modelling System, HEC-HMS, Washington, 157 p Modelling Softwares and Technical/User Manuals | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Concept and basics of modelling |
| Week 2 | Basin Management, Hydrologic Modelling Approaches |
| Week 3 | Classification of Hydrologic Models, Deterministic and Stochastic Models |
| Week 4 | Distributed Parameter Models |
| Week 5 | Characterization of Hydrologic System, Identification of System Components |
| Week 6 | Statistical Analysis of Hydrologic Components and Data Derivation |
| Week 7 | Hydrologic Modelling Practice-1 |
| Week 8 | Hydrologic Modelling Practice2 |
| Week 9 | Model Parameters and Parameter Estimation Techniques |
| Week 10 | Parameter Estimation |
| Week 11 | Hydrologic Forecasting and Scenario Design |
| Week 12 | Hydrologic Modeling Project |
| Week 13 | Presentation of Hydrologic Modeling Projects |
| Week 14 | Integrated Basin Management Scenarios and Modelling |
| Week 15 | General Evaluation |
| Week 16 | Final Exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 8 | 20 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 8 | 20 |
| Presentation | 0 | 0 |
| Project | 2 | 20 |
| Seminar | 0 | 0 |
| Midterms | 0 | 0 |
| Final exam | 1 | 40 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 60 |
| Percentage of final exam contributing grade succes | 0 | 40 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 2 | 28 |
| Laboratory | 0 | 0 | 0 |
| Application | 14 | 3 | 42 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 10 | 4 | 40 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 2 | 20 | 40 |
| Homework assignment | 9 | 5 | 45 |
| Midterms (Study duration) | 0 | 0 | 0 |
| Final Exam (Study duration) | 1 | 30 | 30 |
| Total Workload | 50 | 64 | 225 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 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