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Data handling and parameter estimation

The last course of the series provides a set of tools and the techniques necessary to estimate the kinetic and stoichiometric parameters for wastewater treatment processes using data obtained from experimental batch activity tests. It contains three videos and a textbook chapter that can be accessed free of charge at this webpage.

Course Info

  • About

    This course provides a set of tools and the techniques necessary to estimate the kinetic and stoichiometric parameters for wastewater treatment processes using data obtained from experimental batch activity tests. The course is designed for both academics and practitioners, including graduate and postgraduate students, researchers, laboratory staff, plant operators, consultants, and other sector professionals with a background in sanitary, civil, environmental or (bio)chemical engineering, environmental biotechnology or biochemistry. As the course is at graduate level, participants with knowledge of and experience with the basic concepts of biological wastewater treatment will particularly benefit from it.

  • Syllabus

    The following topics are part of the course:

    • Theory and methods;
    • Methodology and workflow;
    • Additional considerations and examples.

    For a detailed table of contents please click here.

  • Objectives │ Activities │ Assessment

    Learning objectives, activities and assessment depend on the delivery mode of the course. In general, learning objectives are more complex for instructor-led courses. This is particularly true for on campus courses and tailored training because they allow for guided, hands on, laboratory exercises and assignments. To view the learning objectives, activities and assessment of this course please click here.

  • Contact

    Carlos Lopez Vazquez, PhD
    c.lopezvazquez@un-ihe.org
    +31 15 21 51 781

Videos

Bootstrap method

The application of the Bootstrap method for parameter estimation is shown in Matlab to determine key parameters of the ammonium oxidation process.

1 of 3

Non-linear least squares method

Using the non-linear least square method, an estimation of key parameters of the ammonium oxidation process is shown in Matlab.

2 of 3

Monte Carlo method

The Monte Carlo method is applied in this video to estimate the uncertainty of data prediction of a nitrification model.

3 of 3
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Data handling and parameter estimation (1.0 MB)

Available in English, Spanish and Croatian. Coming soon in Russian, Hindi, Marathi and Tamil.
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Data handling and parameter estimation

This chapter is an integral part of the textbook Experimental Methods in Wastewater Treatment. It is a complementary part of the course curriculum and includes background information on the processes of interest, details on experimental set-ups, preparation and execution, as well as a results discussion and interpretation, accompanied with examples and additional information. The book is also used for teaching the MSc specialization in Sanitary Engineering at IHE Delft and several other universities worldwide. It is the product of collaborative efforts by research groups and practitioners around the world. You can download your free copy of the book in one of currently available languages.
  • Van Loosdrecht M.C.M., Nielsen P.H, Lopez-Vazquez C.M., Brdjanovic D. Ed. (2016) Experimental Methods in Wastewater Treatment. IWA Publising, pg. 350, ISBN 9781780404745 (Hardback) 9781780404752 (eBook)

Check your knowledge

In case you are interested to know the extent to which you achieved the learning objectives of this course you can take the web-based self-assessment. While this is the only assessment option for a self-guided online courses, for guided courses and training additional assessment options are applied.

Take the self-assessment test

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In addition to the self-study and assessment option, IHE Delft and its partners offer a guided and certified learning programs provided by IHE Delft and/or one or more of its partner universities (online and on-campus courses and tailor-made training courses). To learn more about how you or your organization can be enrolled in such a program, click below.

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