COURSE UNIT TITLE

: MODELING OF HYDROLOGICAL PROCESSES

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CIE 5149 MODELING OF HYDROLOGICAL PROCESSES ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR SEVINÇ ÖZKUL

Offered to

HYDRAULIC ENGINEERING AND WATER RESOURCES
HYDRAULIC ENGINEERING AND WATER RESOURCES
HYDRAULIC ENGINEERING AND WATER RESOURCES

Course Objective

To provide the understanding of the principal components of watershed models such as precipitation, infiltration, surface flow processes and to emphasize the importance of choosing of appropriate model, parameter estimation, predictive uncertainty, model calibration and verification.

Learning Outcomes of the Course Unit

1   To describe the modelling approaches of hydrological processes such as precipitation, infiltration, surface flow etc
2   To describe the concepts of parameter estimation, predictive uncertainty, model calibration and verification
3   To establish the relationship between available data and model parameters
4   To establish the relationship between available data and model parameters
5   To discuss the technical differences of hydrologic models
6   To determine the constrains and application areas of models
7   to decide on the appropriate modelling approach considering modeling purposes and available data

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to hydrologic processes: their general properties and the need for modeling, Review of model types (approaches, assumptions, methodologies, areas of use), basic equations
2 Infiltration and groundwater models: Hydrogeologic data and information needs, Basic equations using for the flow in unsaturated zone
3 Infiltration models (Horton, Philip, and Green-Ampt models), Modeling of the flow in the saturated zone
4 Surface flow models: Determination of excess rainfall and direct flow
5 Areal distribution of surface flow, Snow melt models
6 Rainfall-runoff models: Classification of models, Lineer systems
7 Unit hydrograph model, rational method model, parametric models
8 MID-TERM EXAM
9 Flow routing models: Lumped models (Muskingum, SCS, and impuls response function models), routing of hydrograph (in channel and in reservoir)
10 Distrubuted models (kinematic wave, diffusion, Muskingum-Cunge, and dynamic wave models)
11 Statistical models
12 Parameter estimation and predictive uncertainty
13 Model calibration and verification, model choice
14 ASSIGNMENT PRESENTATIONS

Recomended or Required Reading

Textbook(s): Singh, V.P.; Al-Rashed, M.; Sherif, M.M. (eds): Surface Water Hydrology, A.A. Balkema Publishers, 2002
Supplementary Book(s): Bayazıt, M., Hidrolojik Modeller, ITÜ Inşaat Fakültesi Matbaası, 1998.
References: Patra, K.C. Hydrology and Water Resources Engineering, CRC Press, 2000.
Beven, K.J.; Rainfall-Runoff Modeling, John Wiley and Sons Ltd., 2001.
Donigian, A.S. Jr., Watershed Model Calibration and Validation: The HSPF Experience. WEF National TMDL Science and Policy 2002, November 13-16, 2002. Phoenix, AZ, 2002.
Singh, V. P. Kinematic Wave Modeling in Water Resources - Surface-Water Hydrology, John Wiley and Sons Ltd., 1996.
Kittle, J.L., A.M. Lumb, P.R. Hummel, P.B. Duda and M.H. Gray. A Tool for the Generation and Analysis of Model Simulation Scenarios for Watersheds (GenScn). WRI Report 98-4134. U.S. Geological Survey, Reston VA., 1998.

Planned Learning Activities and Teaching Methods

Lectures, in-term assignment, midterm exam and final exam

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 +ASG * 0.20 +FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

LO1, LO2, and LO3 are evaluated with mid-term and final exams.
Assignments are highly related with LO3, LO5, LO6 and LO7.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof. Dr. Sevinç Özkul: sevinc.ozkul@deu.edu.tr

Office Hours

It will be announced at the beginning of semester.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 2 26
Preparation for midterm exam 1 15 15
Preparation for final exam 1 20 20
Preparing assignments 1 40 40
Preparing presentations 1 20 20
Final 1 3 3
Midterm 1 2 2
TOTAL WORKLOAD (hours) 165

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.153
LO.242
LO.35433
LO.455244
LO.53544
LO.64545
LO.74545

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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