# Suchergebnis: Katalogdaten im Frühjahrssemester 2021

Umweltnaturwissenschaften Master | ||||||

Vertiefung in Biogeochemie und Schadstoffdynamik | ||||||

Methodische Werkzeuge: Modellierungskurse | ||||||

Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
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701-0426-00L | Modelling Aquatic Ecosystems Number of participants limited to 24. | W | 3 KP | 2G | N. I. Schuwirth, P. Reichert | |

Kurzbeschreibung | Knowledge about processes in aquatic ecosystems will be compiled to mathematical models of such systems. This integration of knowledge stimulates understanding across disciplines and makes it possible to evaluate hypotheses. The participants will be confronted with ecosystem models of increasing complexity und apply them practically based on an implementation in R. | |||||

Lernziel | Students are able to - describe the most important biological, biochemical, chemical and physical processes in aquatic ecosystems in the form of mathematical models; - recognise and explain the interaction of processes in aquatic ecosystems and estimate the resulting behaviour of the entire system; - mathematically describe important sources of stochasticity and uncertainty in model predictions and quantify their influence on model results; - formulate models of aquatic ecosystems, implement them in a programming environment and use them to address problems in practice. | |||||

Inhalt | Basic concepts: Principles of modelling environmental systems, formulation of mass balance equations, formulation of transformation processes. Formulation of ecosystems processes: Physical processes (transport and mixing, sedimentation, gas exchange, detachment and resuspension), chemical processes (chemical equilibria, sorption), biological processes (primary production, respiration, death, consumption, mineralization, nitrification, hydrolysis, bacterial growth, colonization). Consideration of Stochasticity and Uncertainty Sources, description, and propagation of stochasticity and uncertainty Didactic models of aquatic ecosystems: Lake phytoplankton model, lake phyto- and zooplankton model, two box oxygen and phosphorus lake model, model of biogeochemical cycles in a lake, oxygen and nutrient household model of a river, benthic population model of a river. Research models of aquatic ecosystems: Research lake models, research river models. Exercises implementing and practicing the application of the didactic models using libraries of the program package for statistical computing and graphics R (Link). | |||||

Skript | Manuscript in English Link | |||||

Voraussetzungen / Besonderes | Ecology: Basic knowledge about structure and function of aquatic ecosystems. Mathematics: Basics of analysis, differential equations, linear algebra, and probability. | |||||

701-1240-00L | Modelling Environmental Pollutants | W | 3 KP | 2G | M. Scheringer, C. Bogdal | |

Kurzbeschreibung | Modeling the emissions, transport, partitioning and transformation/degradation of chemical contaminants in air, water and soil. | |||||

Lernziel | This course is intended for students who are interested in the environmental fate and transport of volatile and semi-volatile organic chemicals and exposure to pollutants in environmental media including air, water, soil and biota. The course focuses on the theory and application of mass-balance models of environmental pollutants. These models are quantitative tools for describing, understanding, and predicting the way pollutants interact with the environment. Important topics include thermodynamic and kinetic descriptions of chemical behavior in environmental systems; mechanisms of chemical degradation in air and other media; novel approaches to modeling chemical fate in a variety of environments, including lakes and rivers, generic regions, and at the global scale, and application of mass balance modeling principles to describe bioaccumulation of pollutants by fish and mammals. | |||||

Inhalt | Application of mass balance principles to chemicals in a system of coupled environmental media. Measurement and estimation of physico-chemical properties that determine the environmental behavior of chemicals. Thermodynamic and kinetic controls on the behavior of pollutants. Modeling environmental persistence, bioaccumulation and long-range transport potential of chemicals, including a review of available empirical data on various degradation processes. Current issues in multimedia contaminant fate modeling and a case study of the student's choice. | |||||

Skript | Material to support the lectures will be distributed during the course. | |||||

Literatur | There is no required text. The following texts are useful for background reading and additional information. D. Mackay. Multimedia Environmental Models: The Fugacity Approach, 2nd Ed. 2001. CRC Press. R. P. Schwarzenbach, P. M. Gschwend, D. M. Imboden. Environmental Organic Chemistry. 2nd Ed. 2003, John Wiley & Sons. M. Scheringer. Persistence and spatial range of environmental chemicals: New ethical and scientific concepts for risk assessment. 2002. Wiley-VCH. | |||||

701-1338-00L | Biogeochemical Modelling of Sediments, Lakes and Oceans Number of participants limited to 18. The waiting list will be deleted on 05.03.2021. | W | 3 KP | 2G | M. Schmid, D. Bouffard, M. Vogt | |

Kurzbeschreibung | In this course, the students acquire skills to implement, evaluate and analyse the results of basic numerical models for the simulation of biogeochemical processes in aquatic systems using Python, to interpret and document model results, and to critically discuss model limitations. The focus of the course is on practical applications. | |||||

Lernziel | The aim of this course is to encourage and enable students to develop, test and apply basic numerical models for a range of biogeochemical applications, and to interpret model results. | |||||

Inhalt | Numerical models are useful tools for the evaluation of processes in complex systems, the interpretion of observational data, and the projection of the response of a system beyond the range of observations. In this course, the students acquire skills to implement and test basic numerical models for the simulation of biogeochemical processes in aquatic systems using Python, to interpret and document model results in written and oral form, and to critically discuss model limitations. The course includes the following topics: - Formulation of transport and reaction equations describing aquatic systems - Numerical recipes (discretization in time and space, finite differences, finite volumes, initial and boundary conditions) - Implementation of simple models in Python (box models, 1D-models, with applications from sediments, lakes, and oceans) - Techniques for applied modelling & model testing (sensitivity analysis, parameter estimation) - Model evaluation against observational data (model evaluation metrics in space and time) - Interpretation and documentation of model results - Model applications in current aquatic research (recent examples from the scientific literature) | |||||

Skript | Presentation slides, exercises, and some background material will be provided. | |||||

Literatur | DM Glover, WJ Jenkins, SC Doney, 2011. Modeling Methods for Marine Science, Cambridge University Press K Soetaert, PMJ Herman, 2009. A Practical Guide to Ecological Modelling, Springer E Holzbecher, 2012, Environmental Modeling Using MATLAB, 2nd edition, Springer | |||||

Voraussetzungen / Besonderes | The students are expected to work with their own laptop where Python should be installed prior to the start of the class. We recommend also installing a development environment such as the Educational Edition of PyCharm or the Anaconda distribution with Spyder. The following course or equivalent knowledge is required: Mathematik III: Systemanalyse (701-0071-00L, autumn semester, German) Basic programming knowledge in Python is required, e.g. the following course: Anwendungsnahes Programmieren mit Python (252-0840-02L, spring semester, German) The following course is useful but not required: Modelling Aquatic Ecosystems (701-0426-00L, spring semester, English) The number of participants is limited to 18. Selection of the students: order of registration. |

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