Search result: Catalogue data in Spring Semester 2021

MAS in Sustainable Water Resources Information
The Master of Advanced Studies in Sustainable Water Resources is a 12 month full time postgraduate diploma programme. The focus of the programme is on issues of sustainability and water resources in Latin America, with special attention given to the impacts of development and climate change on water resources. The programme combines multidisciplinary coursework with high level research. Sample research topics include: water quality, water quantity, water for agriculture, water for the environment, adaptation to climate change, and integrated water resource management. Language: English. Credit hours: 66 ECTS.
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Foundation Courses
NumberTitleTypeECTSHoursLecturers
102-0218-00LProcess Engineering II (Physical-Chemical Processes) Information O6 credits4GK. M. Udert
AbstractDescription and design of physical, chemical and biological processes and process combinations in drinking water and wastewater treatment.
ObjectiveUnderstanding of critical water quality parameters in water resources and wastewater and process engineering knowledge for the removal of drinking water and environmental hazards. The aims of the lecture are basic understanding of mainly physico-chemical water treatment processes, design and modeling tools of single processes and process combinations.
ContentThe following prcesses and process combination will be discussed in detail:
Gas transfer
Particle characterization
Sedimentation
Flocculation
Filtration
Membrane processes
Precipitation processes
Chemical oxidation and disinfection
Ion exchange
Activated carbon adsorption
Process combinations wastewater
Process combinations potable water
LiteratureM&E: Tchobanoglous, G., Stensel, H.D., Tsuchihashi, R. and Burton, F.L., 2013. Wastewater engineering: treatment and resource recovery. 5th edition. Volume 1 & 2. New York, McGraw-Hill.
MWH: Crittenden, J.C., Trussel, R.R., Hand, D.W., Howe, K., Tchobanoglous, G., 2012. MWH's water treatment principles and design, 3rd edition. ed. Wiley, Hoboken, N.J.
Prerequisites / NoticePre-condition: Lecture Process Engineering Ia
102-0248-00LInfrastructure Systems in Urban Water Management Information
Prerequisites: 102-0214-02L Urban Water Management I and 102-0215-00L Urban Water Management II.
O3 credits2GJ. P. Leitão Correia , M. Maurer, A. Scheidegger
AbstractAn increasing demand for infrastructure management skills can be observed in the environmental engineering practice. This course gives an introductory overview of infrastructure management skills needed for urban water infrastructures, with a specific focus on performance, risk and engineering economics analyses.
ObjectiveAfter successfully finishing the course, the participants will have the following skills and knowledge:
- Know the key principles of infrastructure management
- Know the basics of performance and risk assessment
- Can perform basic engineering economic analysis
- Know how to quantify the future rehabilitation needs
ContentThe nationwide coverage of water distribution and wastewater treatment is one of the major public works achievements in Switzerland and other countries. Annually and per person, 135,000 L of drinking water is produced and distributed and over 535,000 L of stormwater and wastewater is drained. These impressive services are done with a pipe network with a length of almost 200,000 km and a total replacement value of 30,000 CHF per capita.

Water services in Switzerland are moving from a phase of new constructions into one of maintenance and optimization. The aim today must be to ensure that existing infrastructure is professionally maintained, to reduce costs, and to ensure the implementation of modern, improved technologies and approaches. These challenging tasks call for sound expertise and professional management.

This course gives an introduction into basic principles of water infrastructure management. The focus is primarily on Switzerland, but most methods and conclusions are valid for many other countries.
Lecture notesThe script 'Engineering Economics for Public Water Utilities' can be downloaded from the moodle course page.
102-0448-00LGroundwater IIO6 credits4GM. Willmann, J. Jimenez-Martinez
AbstractThe course is based on the course 'Groundwater I' and is a prerequisite for a deeper understanding of groundwater flow and contaminant transport problems with a strong emphasis on numerical modeling.
ObjectiveThe course should enable students to understand advanced concepts of groundwater flow and transport and to apply groundwater flow and transport modelling.

the student should be able to
a) formulate practical flow and contaminant transport problems.

b) solve steady-state and transient flow and transport problems in 2 and 3 spatial dimensions using numerical codes based on the finite difference method and the finite element methods.

c) solve simple inverse flow problems for parameter estimation given measurements.

d) assess simple multiphase flow problems.

e) assess spatial variability of parameters and use of stochastic techniques in this task.

f) assess simple coupled reactive transport problems.
ContentIntroduction and basic flow and contaminant transport equation.

Numerical solution of the 3D flow equation using the finite difference method.

Numerical solution to the flow equation using the finite element equation

Numerical solution to the transport equation using the finite difference method.

Alternative methods for transport modeling like method of characteristics and the random walk method.

Two-phase flow and Unsaturated flow problems.

Spatial variability of parameters and its geostatistical representation -geostatistics and stochastic modelling.

Reactive transport modelling.
Lecture notesHandouts
Literature- Anderson, M. and W. Woessner, Applied Groundwater Modeling, Elsevier Science & Technology Books, 448 p., 2002

- J. Bear and A. Cheng, Modeling Groundwater Flow and Contaminant Transport, Springer, 2010

- Appelo, C.A.J. and D. Postma, Geochemistry, Groundwater and Pollution, Second Edition, Taylor & Francis, 2005

- Rubin, Y., Applied Stochastic Hydrology, Oxford University Press, 2003

- Chiang und Kinzelbach, 3-D Groundwater Modeling with PMWIN. Springer, 2001.
Prerequisites / NoticeEach afternoon will be divided into 2 h of lectures and 2h of exercises. Two thirds of the exercises of the course are organized as a computer workshop to get hands-on experience with groundwater modelling.
102-0488-00LWater Resources ManagementO3 credits2GA. Castelletti
AbstractModern engineering approach to problems of sustainable water resources, planning and management of water allocation requires the understanding of modelling techniques that allow to account for comprehensive water uses (thereby including ecological needs) and stakeholders needs, long-term analysis and optimization. The course presents the most relevant approaches to address these problems.
ObjectiveThe course provides the essential knowledge and tools of water resources planning and management. Core of the course are the concepts of data analysis, simulation, optimization and reliability assessment in relation to water projects and sustainable water resources management.
ContentThe course is organized in four parts.
Part 1 is a general introduction to the purposes and aims of sustainable water resources management, problem understanding and tools identification.
Part 2 recalls Time Series Analysis and Linear Stochastic Models. An introduction to Nonlinear Time Series Analysis and related techniques will then be made in order to broaden the vision of how determinism and stochasticity might sign hydrological and geophysical variables.
Part 3 deals with the optimal allocation of water resources and introduces to several tools traditionally used in WRM, such as linear and dynamic programming. Special attention will be devoted to optimization (deterministic and stochastic) and compared to simulation techniques as design methods for allocation of water resources in complex and competitive systems, with focus on sustainability and stakeholders needs.
Part 4 will introduce to basic indexes used in economical and reliability analyses, and will focus on multicriteria analysis methods as a tool to assess the reliability of water systems in relation to design alternatives.
Lecture notesA copy of the lecture handouts will be available on the webpage of the course. Complementary documentation in the form of scientific and technical articles, as well as excerpts from books will be also made available.
LiteratureA number of book chapters and paper articles will be listed and suggested to read. They will also be part of discussion during the oral examination.
Prerequisites / NoticeSuggested relevant courses: Hydrologie I (or a similar content course) and Wasserhaushalt (Teil "Wasserwirtschaft", 4. Sem. UmweltIng., or a similar content course) for those students not belonging to Environmental Engineering.
101-0269-00LRiver Morphodynamic Modelling Restricted registration - show details W3 credits2GD. F. Vetsch, D. Vanzo
AbstractThe course teaches the basics of morphodynamic modelling, relevant for civil and environmental engineers. The governing equations for sediment transport in open channels and corresponding numerical solution strategies are introduced. The theoretical parts are discussed by examples.
ObjectiveThe goal of the course is twofold. First, the students develop a throughout understanding of the basics of river morphodynamic processes. Second, they get familiar with numerical tools for the simulations in one- and two-dimensions of morphodynamics.
Content- fundamentals of river morphodynamics (Exner equation, bed-load, suspended-load)
- aggradation and degradation processes
- river bars
- non-uniform sediment morphodynamics: the Hirano model
- short and long term response of gravel bed rivers to change in sediment supply
Lecture notesLecture notes, slides shown in the lecture and software can be downloaded
LiteratureCitations will be given in lecture.
Prerequisites / NoticeExercises are based on the simulation software BASEMENT (Link), the open-source GIS Qgis (Link) and code examples written in MATLAB and Python. The applications comprise one- and two-dimensional approaches for the modelling of flow and sediment transport.

Requirements: Numerical Hydraulics, River Engineering, MATLAB and/or Python programming skills would be an advantage.
102-0617-01LMethodologies for Image Processing of Remote Sensing DataW3 credits2GI. Hajnsek, O. Frey, S. Li
AbstractThe aim of this course is to get an overview of several methodologies/algorithms for analysis of different sensor specific information products. It is focused at students that like to deepen their knowledge and understanding of remote sensing for environmental applications.
ObjectiveThe course is divided into two main parts, starting with a brief introduction to remote sensing imaging (4 lectures), and is followed by an introduction to different methodologies (8 lectures) for the quantitative estimation of bio-/geo-physical parameters. The main idea is to deepen the knowledge in remote sensing tools in order to be able to understand the information products, with respect to quality and accuracy.
ContentEach lecture will be composed of two parts:
Theory: During the first hour, we go trough the main concepts needed to understand the specific algorithm.
Practice: During the second hour, the student will test/develop the actual algorithm over some real datasets using Matlab. The student will not be asked to write all the code from scratch (especially during the first lectures), but we will provide some script with missing parts or pseudo-code. However, in the later lectures the student is supposed to build up some working libraries.
Lecture notesHandouts for each topic will be provided.
LiteratureSuggested readings:
T. M. Lillesand, R.W. Kiefer, J.W. Chipman, Remote Sensing and Image Interpretation, John Wiley & Sons Verlag, 2008
J. R. Jensen, Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall Series in Geograpic Information Science, 2000
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