Display language

#30738 / #6

Seit SoSe 2022

English

Modeling of Environmental Systems

12

Hellweger, Ferdinand Leberecht

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät III

Institut für Technischen Umweltschutz

33331300 FG Wasserreinhaltung

MSc Technischer Umweltschutz

Kontakt


KF 4

Lackner, Carsten

ferdi.hellweger@tu-berlin.de

No information

Learning Outcomes

Surfacewater Quality Modeling (SQM) After the successful completion of the module the students: Understand the mechanisms underlying phytoplankton ecology in surface waters, including transport growth and death, and toxin production; and can represent them quantitatively using mathematical modeling. - Understand basic eutrophication processes - Understand the modeling process, including selecting the optimal model and complexity, calibrating to field observations, applying and documenting/presenting the model - Can set up and solve differential mass balance equations using various techniques - Master basic principles of eutrophication modeling in lakes, rivers and estuaries - Have experience in setting up and applying off-the-shelf water quality modeling programs The module´ s qualification profile is: 40% knowledge and understanding, 20% development and design, 20% research and evaluation, 20% application in practice Agent-based modeling (ABM) The students: - have understanding of basic principles of ABM and other modeling methods (e.g. differential equation), available software, computational strategies (e.g. up-scaling, agent accounting), model development, model calibration and testing, and model application. - have experience in independently designing, implementing and applying an ABM. The module´ s qualification profile is: 40% knowledge and understanding, 20% development and design, 20% research and evaluation, 20% application in practice

Content

Surfacewater Quality Modeling (SQM) The following topics will be covered: • Basic mechanisms through which environmental water quality becomes degraded by nutrients (eutrophication). • Transport processes in rivers, lakes and estuaries. • Kinetic processes governing phytoplankton ecology, including photosynthesis, respiration, grazing and others, and their mathematical description. • Mass balance equations and their analytical and numerical solutions. • Setup and parameterization of models for surface water systems. Agent-based modeling (ABM) -- IV: Introduction and motivation of ABM, basic principles, comparison to other methods (e.g. differential equation), available software, computational strategies (e.g. up-scaling, agent accounting), model development, model calibration and testing, and model application. - UE: Hands on exercises using NetLogo

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Agent-based modeling (ABM)IV0333 L 670WiSeEnglish2
Agent-based modeling (ABM)UE0333 L 671WiSeEnglish2
Surfacewater Quality modelingUE0333 L 621SoSeEnglish2
Surfacewater Quality modelingIV0333 L 620SoSeEnglish2

Workload and Credit Points

Agent-based modeling (ABM) (IV):

Workload descriptionMultiplierHoursTotal
60.0h(~2 LP)
Attendance15.02.0h30.0h
Pre/post processing15.02.0h30.0h

Agent-based modeling (ABM) (UE):

Workload descriptionMultiplierHoursTotal
75.0h(~3 LP)
Attendance15.02.0h30.0h
Pre/post processing15.03.0h45.0h

Surfacewater Quality modeling (UE):

Workload descriptionMultiplierHoursTotal
75.0h(~3 LP)
Attendance15.02.0h30.0h
Pre/post processing15.03.0h45.0h

Surfacewater Quality modeling (IV):

Workload descriptionMultiplierHoursTotal
60.0h(~2 LP)
Attendance15.02.0h30.0h
Pre/post processing15.02.0h30.0h

Course-independent workload:

Workload descriptionMultiplierHoursTotal
90.0h(~3 LP)
Prüfungsvorbereitung1.090.0h90.0h
The Workload of the module sums up to 360.0 Hours. Therefore the module contains 12 Credits.

Description of Teaching and Learning Methods

Surfacewater Quality Modeling (SQM) This module utilizes IV (lectures and discussions) and UE (problem solving) teaching methods. Agent-based modeling (ABM) This module utilizes IV (lectures and discussions) and PR (project and lab) teaching methods. In the PR the students design, implement and apply a NetLogo ABM to a problem of their choice.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

none

Mandatory requirements for the module test application:

No information

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 points in total

Language

English

Test elements

NamePointsCategorieDuration/Extent
SQM: Homeworks10written10 homeworks
SQM: mid-term exam18written60 min.
SQM: Term project presentation10oralca 12 min
SQM: Term project report12written10 pages
ABM: Homeworks10writtenca 1/week
ABM: mid-term exam17written60 min
ABM: Term project23flexible10 pages + oral presentation

Grading scale

1.01.31.72.02.32.73.03.33.74.0
90.085.080.075.070.066.062.058.054.050.0

Test description (Module completion)

Portfolio examination Each part will be graded individually using a grading rubric and can have a maximum of 100 points. The points will be weighted based on the following and then added.

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Winter- und Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

The registration for the exam is done via the Prüfungsamt.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  unavailable

 

Literature

Recommended literature
ABM: "Agent-Based Models (Quantitative Applications in the Social Sciences)" by Nigel Gilbert
ABM: "Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals" by Michael Batty
ABM: "Individual-based Modeling and Ecology" by Volker Grimm and Steven F. Railsback
ABM: "Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation" by Michael J. North and Charles M. Macal
ABM: "NetLogo User Manual" by Uri Wilensky (2015), http://ccl.northwestern.edu/netlogo/docs/
ABM: "The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration" by Robert Axelrod
ABM: Individual-based Models and Approaches in Ecology" by Donald L. DeAngelis and Louis J. Gross, Editors
SQM: Environmental Modeling by Jerry L. Schnoor, 1996, John Wiley, New York
SQM: Principles of Surface Water Quality Modeling and Control by Robert V. Thomann and John A. Mueller, 1987, HarperCollins, New York
SQM: Surface Water-Quality Modeling by Steven C. Chapra, 2008, Waveland Pr Inc, ISBN-10: 1577666054, ISBN-13: 978-1577666059
ABM: "Agent-based and Individual-based Modeling: A Practical Introduction" by Railsback and Grimm (2012)

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Technischer Umweltschutz (M. Sc.)12SoSe 2022WiSe 2022/23

Miscellaneous

No information