Information
Code | TS011 |
Name | Advanced Hydrology Applications |
Term | 2022-2023 Academic Year |
Term | Spring |
Duration (T+A) | 3-0 (T-A) (17 Week) |
ECTS | 6 ECTS |
National Credit | 3 National Credit |
Teaching Language | Türkçe |
Level | Doktora Dersi |
Type | Normal |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | |
Course Instructor |
1 |
Course Goal / Objective
To learn the processes of determining the data of the basin, processing and completing the missing data. In addition, to comprehend the process stages of revealing the possible precipitation flow relationships of a basin.
Course Content
River flows, sediment, precipitation and areal precipitation calculation, incomplete data completion, homogeneity tests, probability analysis, regional flood frequency analysis, index analysis, determination of basin morphometric characteristics using topographic maps, synthetic unit hydrographs, best subset analysis, forward and backward extraction methods, multiple regression analysis, generating estimation equations, flow and data estimation for unmeasured fields, method comparison tests.
Course Precondition
To take this course, it is sufficient to be a graduate or doctoral student. There are no other prerequisites.
Resources
Uygulamalı Hidroloji-Prof.Dr.Kazım Tülücü
Notes
Power Point Presentation
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Learns the concept of the basin and the characteristics (morphometry) of the basin. |
LO02 | Learns to test the homogeneity of the data of the basin and to interpret the data statistically. |
LO03 | Calculates the probabilities of the parameters of the basin according to their occurrence. |
LO04 | Learns to derive data by using data estimation methods of points that do not have measurements in the basin. |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Has the ability to develop and deepen the level of expertise degree qualifications based on the knowledge acquired in the field of agriculture and irrigation structures | 4 |
PLO02 | Bilgi - Kuramsal, Olgusal | Has the ability to understand the interaction between irrigation and agricultural structures and related disciplines | 5 |
PLO03 | Bilgi - Kuramsal, Olgusal | Qualified in devising projects in agricultural structures and irrigation systems. | |
PLO04 | Bilgi - Kuramsal, Olgusal | Conducts land applications,supervises them and assures of development | |
PLO05 | Bilgi - Kuramsal, Olgusal | Has the ability to support his specilist knowledge with qualitative and quantitative data. Can work in different disciplines. | 3 |
PLO06 | Bilgi - Kuramsal, Olgusal | Solves problems by establishing cause and effect relationship | 5 |
PLO07 | Bilgi - Kuramsal, Olgusal | Has the ability to apply theoretical and practical knowledge in the field of agricultural structures and irrigation department | |
PLO08 | Bilgi - Kuramsal, Olgusal | Able to carry out a study independently on a subject. | 3 |
PLO09 | Bilgi - Kuramsal, Olgusal | Has the ability to design and apply analytical, modelling and experimental researches, to analyze and interpret complex issues occuring in these processes. | |
PLO10 | Beceriler - Bilişsel, Uygulamalı | Can access resources on his speciality, makes good use of them and updates his knowledge constantly. | 4 |
PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Has the ability to use computer software in agricultural structures and irrigation; can use informatics and communications technology at an advanced level. |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Basin Concept, determining the basin boundary, calculating the catchment area | Power Point Presentation | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
2 | Identification of hydrometeorological data of the basin | Power Point Presentation | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
3 | Application of parametric and non-parametric statistical methods in hydrometeorological data | Power Point Presentation | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
4 | Preparing the data for the determined basin for probability analysis | Power Point Presentation | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Gösterip Yaptırma |
5 | Preparing rainfall data, applied depth-area-duration analysis | Power point presentation | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
6 | Analysing flow data, flow duration curve, total flow curve | Power Point Presentation | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama, Gösterip Yaptırma |
7 | Determination of precipitation flow relationship | Power Point Presentation | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Alıştırma ve Uygulama |
8 | Mid-Term Exam | Ölçme Yöntemleri: Ödev |
|
9 | Determination of Flood Frequencies of the Basin-1 | Power Point Presentation | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Gösterip Yaptırma |
10 | Determination of Flood Frequencies of the Basin-2 | Power Point Presentation | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama, Gösterip Yaptırma |
11 | Determination of Flood Estimation Method | Power Point Presentation | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Alıştırma ve Uygulama |
12 | Student application for a determined basin-1 | Practice | Öğretim Yöntemleri: Örnek Olay |
13 | Student application for a determined basin-2 | Practice | Öğretim Yöntemleri: Örnek Olay |
14 | Evaluation of the practice | practice | Öğretim Yöntemleri: Tartışma |
15 | General Review | Power Point Presentation | Öğretim Yöntemleri: Soru-Cevap, Tartışma |
16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
|
17 | Term Exams | Ölçme Yöntemleri: Ödev |
Student Workload - ECTS
Works | Number | Time (Hour) | Workload (Hour) |
---|---|---|---|
Course Related Works | |||
Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
Assesment Related Works | |||
Homeworks, Projects, Others | 0 | 0 | 0 |
Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
Final Exam | 1 | 26 | 26 |
Total Workload (Hour) | 150 | ||
Total Workload / 25 (h) | 6,00 | ||
ECTS | 6 ECTS |