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Research methods in hydrology II

General data

Course ID: 1900-3-MH2-HK
Erasmus code / ISCED: 07.1 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (unknown)
Course title: Research methods in hydrology II
Name in Polish: Metody badań i opracowań hydrologicznych II
Organizational unit: Faculty of Geography and Regional Studies
Course groups: (in Polish) Przedmioty obowiązkowe, dzienne studia II stopnia (Hydrologia i klimatologia) - sem. 2
ECTS credit allocation (and other scores): 3.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
Language: Polish
Main fields of studies for MISMaP:

environmental protection
geography

Type of course:

obligatory courses

Prerequisites (description):

The main aim is to present methods applied in hydrological practice, used in the spatial planning and hydrological forecast.

Mode:

Classroom

Short description:

Lectures and excercises are focused on risk estimation of extreme hydrological phenomena.

Full description:

Lectures are dedicated to shoe various methods of calculation in hydrology

The introduction presents a complex pattern of water circulation in the catchment with different characteristics. Characteristic discharge, the pattern of the river network, and different physiographic charatersitcs are worked out.

Statistical methods with probability include Maximum reliable flood. Extension of hydrological series. Relationship between hydrological variables. Stochastic methods used for short time forecast.

Excercises are divided in the parts:

Analysis of cartographic sources and importance for results accuracy. On example of Horton laws for river network and forecast of the maximum discharge. Dat include DEM from lidar technology, topographic maps of 1:10K scale and hydrographic digital map of Poland. Results are prepared as an essay.

The second part covers long-term changes, an extension of the time series, Calculation of the discharge of a given probability of exceedance. Exercises with the use of digital data are done on ArcGIS on a basic level. Instructions are available on Kampus-2 platform

Effort of student

Lectures 20 %

Spatial data analysis in ArcGIS software 30 %

Calculations and graphs 20 %

Text description 10 %

Literature reading 5 %

Bibliography:

Byczkowski A., 1996, Hydrologia, t. II, Wyd. SGGW Warszawa.

Ozga-Zielińska M., Brzeziński J., 1994, Hydrologia stosowana. Wyd. Nauk. PWN, Warszawa

Zlewnia właściwości i procesy, 2003,. (red.) J. Pociask-Karteczka, Wyd. IG iGP UJ, Kraków

Predykcja opadów i wezbrań o zadanym czasie powtarzalności, 1997, (red. U. Soczyńska) Wyd. WGSR UW, Warszawa

Rola retencji w kształtowaniu wezbrań opadowych,2003, (red.) M. Gutry-Korycka, B. Nowicka, U. Soczyńska, Wyd. UW, Warszawa

Learning outcomes:

K_W07, K_W09, K_W10, K_U02, K_U04, K_K01, K_K04

S4_W09, S4_W10, S4_U08, S4_U11, S4_K11

The student is familiar with

- hydrological terminology

- knows where to look for the data

- knows the sources of the errors due to a selection of the method and source data

- can evaluate the worth of the source data

- is able to interpret the calculation results

- has the knowledge on hydrological procedures necessary in preparation of reports.

Attitude

- it is necessary to follow procedures in experiments

- is able to evaluate the method and sources of the data

- is aware of limitations of computer models of the environment.

Assessment methods and assessment criteria:

Requirements

- presence at the classes 20 % and final exam 80 %

the exam is oral at the end of classes nt later than the end of the semester

- exercises - continuous checking of presence and preparedness for the class 30 % and exercise marks 70 %

- it is possible to be 2 times absent without explanation. In case of more absences with an explained reason, it is possible to arrange the form of evaluation with the teacher. Exercises should be completed one week before the end of the semester. The final mark is average from exercises and essays.

Classes in period "Summer semester 2023/24" (in progress)

Time span: 2024-02-19 - 2024-06-16
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 30 hours more information
Lecture, 15 hours more information
Coordinators: Artur Magnuszewski, Barbara Nowicka
Group instructors: Artur Magnuszewski, Barbara Nowicka
Students list: (inaccessible to you)
Examination: Course - Grading
Classes - No assessment
Lecture - Grading

Classes in period "Summer semester 2024/25" (future)

Time span: 2025-02-17 - 2025-06-08
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 30 hours more information
Lecture, 15 hours more information
Coordinators: Artur Magnuszewski, Barbara Nowicka
Group instructors: (unknown)
Students list: (inaccessible to you)
Examination: Course - Grading
Classes - No assessment
Lecture - Grading
Course descriptions are protected by copyright.
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00-927 Warszawa
tel: +48 22 55 20 000 https://uw.edu.pl/
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