Basic information
- Field of study
- Geospatial Computer Science
- Major
- Remote Sensing and GIS
- Organisational unit
- Faculty of Geo-Data Science, Geodesy, and Environmental Engineering
- Study level
- Second-cycle (engineer) programme
- Form of study
- Full-time studies
- Profile
- General academic
- Didactic cycle
- 2024/2025
- Course code
- DGEITGS.IIi1.07193.24
- Lecture languages
- English
- Mandatoriness
- Obligatory
- Block
- Core Modules
- Course related to scientific research
- Yes
|
Period
Semester 1
|
Method of verification of the learning outcomes
Completing the classes
Activities and hours
Lectures:
15
Project classes: 30 |
Number of ECTS credits
3
|
Goals
| C1 | Students who have completed the module will have competences to acquire, process, model and present environmental data (esp. meteorological, hydrological and soil processes). |
Course's learning outcomes
| Code | Outcomes in terms of | Learning outcomes prescribed to a field of study | Methods of verification |
| Knowledge – Student knows and understands: | |||
| W1 | rules for obtaining reliable environmental data from publicly available data sources and other sources of information | GEI2A_W01, GEI2A_W03 | Test results |
| W2 | rules for creating and operating database programs for the acquisition, processing and visualization of spatial and environmental data | GEI2A_W04, GEI2A_W05 | Test results |
| W3 | basic concepts in the field of atmospheric physics, meteorology, hydrology and processes occurring in the soil environment and knows IT tools for modeling environmental processes | GEI2A_W04, GEI2A_W06 | Test results |
| W4 | methods of parameterization of environmental processes and advanced IT tools for modeling them | GEI2A_W04, GEI2A_W06 | Test results |
| Skills – Student can: | |||
| U1 | obtain high quality environmental data, process and present them in an attractive graphic form | GEI2A_U01, GEI2A_U06, GEI2A_U08 | Project |
| U2 | work in a team, to estimate time needed for implementation tasks and adjust the work schedule | GEI2A_U09 | Project |
| U3 | create, adapt, modify and automate algorithms and computational processes (including those working in GIS environment) to model environmental processes | GEI2A_U02, GEI2A_U04, GEI2A_U05, GEI2A_U07 | Project |
| Social competences – Student is ready to: | |||
| K1 | maintains an ethical attitude, acts honesty towards team-mates and final recipients of the project, cares about the high work quality | GEI2A_K01 | Involvement in teamwork |
| K2 | perform the assigned tasks, to cooperate and work in a group, accepting different roles in it | GEI2A_K04 | Involvement in teamwork |
Program content ensuring the achievement of the learning outcomes prescribed to the module
Students who have completed the module will have competences to acquire, process, model and present environmental data (esp. meteorological, hydrological and soil processes).
Student workload
| Activity form | Average amount of hours* needed to complete each activity form | |
| Lectures | 15 | |
| Project classes | 30 | |
| Preparation for classes | 15 | |
| Realization of independently performed tasks | 5 | |
| Examination or final test/colloquium | 1 | |
| Contact hours | 4 | |
| Preparation of project, presentation, essay, report | 15 | |
| Student workload |
Hours
85
|
|
| Workload involving teacher |
Hours
45
|
|
* hour means 45 minutes
Program content
| No. | Program content | Course's learning outcomes | Activities |
| 1. |
Modeling of meteorological processes: Basic concepts of atmospheric physics and meteorology. Numerical meteorological models (types, structure, scale). Input data for models (obtaining data, sources of information, data quality, time-space resolution, formats). Features of global, |
W1, W2, W3, W4 | Lectures |
| 2. |
Modeling of meteorological parameters with WRF model: The structure of the mesoscale WRF meteorological model (Weather Research and Forecasting model). Software components, required input data for simulations (type, structure and sources). Acquisition and preparation of data for an example of retrospective simulation in WRF model with WPS preprocessor. Simulations of meteorological conditions for an example episode using WRF model. Analysis of results and their visualization. |
W1, W2, W3, W4, U1, U2, U3, K1, K2 | Project classes |
| 3. |
Modeling of hydrological processes: Modeling of complex hydrological processes controlled by environmental, social and economic factors. System analysis, system dynamics, conceptual modeling (mental models, mental mapping). Examples of modelling of complex environmental processes, as well as socio-environmental ones. The state of the art in computer hydrological modeling. Methods and tools to predict the main phenomena and their effects, mathematical description of processes. Methods of creating models; model and reality. Modeling of water resources, rainfall-runoff model, prediction of water balance elements in the basin. Water availability for people and plants. Flood and erosion threats. Modeling the quality of water resources and simulation of the impact of various investment options and land-cover/land-use. Computer support for catchment management. Modeling of groundwater flow and pollution transport. |
W1, W2, W3, W4 | Lectures |
| 4. |
Modeling of hydrological processes: Spatial analysis of the impact of land-use and land-cover on water cycle |
W1, W2, W3, W4, U1, U2, U3, K1, K2 | Project classes |
| 5. |
Modeling of soil processes: Soil erosion risk modeling: description of the phenomenon, types of erosion, factors influencing erosion. Model USLE and its modifications as a tool for estimating soil losses in erosion processes. Modeling changes in organic carbon content in soil: the importance of organic matter, soil transformation of organic matter, chemistry of |
W1, W2, W3, W4 | Lectures |
| 6. |
Modeling of processes occurring in soil environment: Estimation of soil losses for the selected area using USLE model (4 h). Construction and calibration of the carbon prediction model (C) in soil on based on near-infrared spectra (6 h). |
W1, W2, W3, W4, U1, U2, U3, K1, K2 | Project classes |
Extended information/Additional elements
Teaching methods and techniques :
Group work, Discussion, Lectures
| Activities | Methods of verification | Credit conditions |
|---|---|---|
| Lectures | Test results | |
| Project classes | Project, Involvement in teamwork, Test results |
Conditions and the manner of completing each form of classes, including the rules of making retakes, as well as the conditions for admission to the exam
The necessary condition to pass the project exercises is: • presence at least 70% of classes, • at most 1 unjusted absence, • completion of all required projects, • completion the semester project.
Method of determining the final grade
The final grade (OK) is calculated according to the following formula: OK = 0.4 • W + 0.2 • PA + 0.2 • PH + 0.2 • PG where: W - the grade from the final test (lectures); PA - the grade from the reports on atmospheric modeling; PH - the grade from the reports on hydrological modeling; PG - the grade from the reports on soil modeling. In a case of negative grade from the final test or from any other thematic part it is impossible to complete the module.
Manner and mode of making up for the backlog caused by a student justified absence from classes
In a case of absence or failure of a single project, it is possible to do it yourself (no more than 2 projects per semester).
Prerequisites and additional requirements
Basic knowledge on environmental protection and management.
Rules of participation in given classes, indicating whether student presence at the lecture is obligatory
Lectures: Studenci uczestniczą w zajęciach poznając kolejne treści nauczania zgodnie z syllabusem przedmiotu. Studenci winni na bieżąco zadawać pytania i wyjaśniać wątpliwości. Rejestracja audiowizualna wykładu wymaga zgody prowadzącego. Project classes: Studenci wykonują prace praktyczne mające na celu uzyskanie kompetencji zakładanych przez syllabus. Ocenie podlega sposób wykonania projektu oraz efekt końcowy.
Literature
Obligatory- 1. Andrews J.E., Brimblecombe P., Jickells T.D., Liss P.S.: Wprowadzenie do chemii środowiska. WNT, Warszawa 2000.
- 2. Boeker E., van Grondelle R.: Fizyka środowiska. PWN, Warszawa 2002.
- 3. Burns D.A., Ciurczak E.W.: Handbook of Near Infrared Analysis. New York, Basel, Marcel Dekker,
- 4. Chapra S.C., Pelletier G.J., Tao H.: QUAL2K: A Modeling Framework for Simulating River and Stream Water Quality, Version 2.12: Documentation and Users Manual. Civil and Environmental Engineering Dept., Tufts University, Medford, MA, 2012.
- 5. Dee D.P., Uppala S.M., Simmons A.J. et al.: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc. 137, pp. 553–597, 2011.
- 6. Dworak T.Z.: Fizyka środowiska atmosferycznego. Wyd. AGH. Kraków 1994.
- 7. Fetter C.W.: Applied Hydrogeology. Prantice Hall, 2001.
- 8. Flügel W.A.: River Basin Impact Assessment of Changing Land Use and Climate by Applying the ILWRM Approach in Africa and Asia [w:] Sharma N. (red.) River System Analysis and Management, Springer, 2017.
- 9. Gryboś R., Tomaszek S.: Procesy klimatotwórcze nad terenem uprzemysłowionym. Wyd. Politechniki Śląskiej, Gliwice 1997.
- 10. Jasiński J.M., Kroszczyński K., Rymarz C., Winnicki I.: Satelitarne obrazy procesów atmosferycznych kształtujących pogodę. PWN, Warszawa 1999.
- 11. Kalnay E.: Atmospheric Modeling, Data Assimilation and Predictability. Cambridge University Press, New York 2003.
- 12. Kossowska-Cezak U., Martyn D., Olszewski K., Kopacz-Lembowicz M.: Meteorologia i klimatologia. Pomiary, obserwacje, opracowania. PWN, Warszawa – Łódź 2000.
- 13. Kożuchowski K.: Atmosfera – klimat – ekoklimat. PWN, Warszawa 1998.
- 14. Kożuchowski, K. (ed.): Meteorologia i klimatologia. PWN, Warszawa 2008.
- 15. Lewińska J.: Klimat miasta. Zasoby, zagrożenia, kształtowanie. Instytut Gospodarki Przestrzennej i Komunalnej, Oddział w Krakowie. Kraków 2000.
- 16. Lynch P.: The origins of computer weather prediction and climate modelling. Journal of Computational Physics. University of Miami. 227 (7), pp. 3431–44, 2008.
- 17. Ojrzyńska H., Kryza M., Wałaszek K., Szymanowski M., Werner M., Dore A.J.: High-Resolution Dynamical Downscaling of ERA-Interim Using the WRF Regional Climate Model for the Area of Poland. Part 1: Model Configuration and Statistical Evaluation for the 1981–2010 Period. Pure Appl. Geophys,
- 18. Prochal P., Maślanka K., Koreleski K.: Ochrona środowiska przed erozją wodną. Wydawnictwo Akademii Rolniczej, Kraków, 2005.
- 19. Seaman N.L.: Meteorological modeling for air-quality assessments. Atmos. Environ. 34, p. 2231–2259, 2000.
- 20. Skamarock W.C., Klemp J.B., Dudhi J., Gill D.O., Barker D.M., Duda M.G., Huang X.-Y., Wang W., Powers J.G.: A Description of the Advanced Research WRF Version 3. Tech. Rep. 113, 2008.
- 21. Soczyńska U. (red.): Hydrologia dynamiczna. Warszawa: Wydawnictwa Naukowe PWN, 1997.
- 22. Woś A.: Klimat Polski. PWN, Warszawa 1999.
- 23. Zwoździak J., Zwoździak A., Szczurek A.: Meteorologia w ochronie atmosfery. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław 1998.
- # A.: Meteorologia dla geografów. PWN, Warszawa 1996.
Scientific research and publications
Research- Temat badawczy nt. zrównoważonej gospodarki wodnej, realizowany w ramach badań naukowych dla utrzymania potencjału badawczego jednostki.
- 1. Chodak M., Ludwig B., Khanna P., Beese F: Use of near infrared spectroscopy to determine biological and chemical characteristics of organic layers under spruce and beech stands. J. Plant Nutr. Soil Sci., 165, 27 – 33, 2001.
- 2. Chodak M.: Near infrared spectroscopy for rapid estimation of microbial properties in reclaimed mine soils. J. Plant Nutr. Soil Sci., 174, 702 – 709, 2011.
- 3. Chodak M.: Zastosowanie spektroskopii w bliskiej podczerwieni (NIR) do oznaczania zawartości C, N, S, P i kationów metali w materii organicznej gleb leśnych. Wydawnictwa AGH, Inżynieria Środowiska, Tom 10, Zeszyt 2, 213 – 222, 2005.
- 4. Drzewiecki W., Bergier T., Flügel W., Fink M., Pfenning B., Bernat K.: Krajowa infrastruktura informacji przestrzennej jako źródło danych dla systemu informacji o zlewni (RBIS). Roczniki Geomatyki 11 (1), 45–56, 2013.
- 5. Oleniacz R., Bogacki M, Szulecka A., Rzeszutek M., Mazur M: Assessing the impact of wind speed and mixing-layer height on air quality in Krakow (Poland) in the years 2014-2015. Journal of Civil Engineering, Environment and Architecture, 2016, vol. 63, no. 2/II/16, 315–342.
- 6. Oleniacz R., Bogacki M., Rzeszutek M., Kot A.: Meteorologiczne determinanty jakości powietrza w Krakowie (Meteorological factors affecting air quality in Krakow) [W:] Ochrona powietrza w teorii i praktyce, T. 2, pod red. Jana Konieczyńskiego, Zabrze: Instytut Podstaw Inżynierii Środowiska Polskiej Akademii Nauk, 2014, ISBN: 978-83-60877-17-3, s. 163–178
- 7. Oleniacz R., Bogacki M., Szulecka A., Rzeszutek M., Mazur M.: Wpływ prędkości i kierunku wiatru na jakość powietrza w Krakowie. (W:) V międzynarodowa konferencja naukowo-techniczna INFRAEKO 2016 „Nowoczesne miasta, infrastruktura i środowisko” (red. J. Dziopak, D. Słyś, A. Stec), str. 263-276. Oficyna Wydawnicza Politechniki Rzeszowskiej, Rzeszów 2016.
- 8. Rzeszutek M., Szulecka A., Oleniacz R., Bogacki M.: Assessment of the AERMOD dispersion model over complex terrain with different types of meteorological data: Tracy Power Plant experiment. E3S Web of Conferences 22, 00149 (2017), str. 1-9.
- 9. Szulecka A., Bogacki M.: Ocena dostępnych baz danych meteorologicznych dla celów poprawy wyników krótkoterminowych symulacji w modelu WRF-ARW na przykładzie obszaru południowo-zachodniej Polski. (W:) ECOpole’16 [Dokument elektroniczny], Central European conference: 5th–8th October 2016, Opole, 2016, str. 7-8.
- 10. Wojtas E., Sawczak M., Bergier T.: Możliwości zastosowania modelowania hydrologicznego w ocenie wpływu zagospodarowania przestrzennego na retencję [w:] Maciejewska A. (red.), Współczesne uwarunkowania gospodarowania przestrzenią – szanse i zagrożenia dla zrównoważonego rozwoju: organizacja gospodarowania przestrzenią. Warszawa: Oficyna Wydawnicza Politechniki Warszawskiej, 261–272 (Załącznik 5, Rozdział II.2.3, poz. 13), 2014.
- 11. Wojtas E., Sawczak M., Bergier T.: Zastosowanie pakietu Jena 2000 do wspomagania zarządzania zlewnią rzeczną [w:] Mazurkiewicz-Boroń G., Marczewska B. (red.), Zagrożenia jakości wód powierzchniowych i metody działań ochronnych. Lublin: Wydawnictwo KUL, 379–389, 2014.
- 12. Wojtas E., Sawczak M., Bergier T.: Zrównoważone zarządzanie zlewnią Zbiornika Dobczyckiego i górnej Raby [w:] Mazurkiewicz-Boroń G., Marczewska B. (red.), Zagrożenia jakości wód powierzchniowych i metody działań ochronnych. Lublin: Wydawnictwo KUL, 365–377, 2014.