Undergraduate and graduate students, researchers, laboratory staff, plant operators, consultants and other professionals working on environmental engineering, sanitation, sanitary engineering and wastewater treatment.
PrerequisitesBackground on environmental engineering, sanitation, sanitary engineering and wastewater treatment.
Dates, Fee, ECTS
Start: 29 June 2020
End: 17 July 2020
ECTS credit points: 5
Deadline IHE application: 28 May 2020 - 23.59 (CET)
Course fee: € 2910
VAT is not included in the course fee
- - To explain the fundamentals and main methodological steps involved in the preparation and conduction of experimental methods applied to assess biological conversion processes and microbial population dynamics in (waste-)water treatment systems.
- - To design and conduct experimental methods to assess the biological conversion processes and identify the dominant microbial populations in (waste-)water treatment systems.
- - To critically analyze and discuss data and results obtained from experimental methods to assess the microbial population dynamics in (waste-)water treatment systems.
- - To evaluate the process performance and characteristics of biological wastewater treatment processes.
1. ACTIVATED SLUDGE ACTIVITY TESTS
Aerobic organic matter removal
Biological nitrogen removal
- Anaerobic ammonium oxidation (Anammox)
Enhanced biological phosphorus removal
- Anaerobic EBPR batch activity tests
- Anoxic EBPR batch tests
- Aerobic EBPR batch tests
Biological sulphate reduction
3. SETTLING TESTS
Sludge settleability tests in secondary settling tanks
- Sludge volume index (svi)
- Diluted sludge volume index (dsvi)
- Batch settling curve and hindered settling velocity
Flocculation state of activated sludge - settling behaviour of granular sludge
The light microscope
Examining activated sludge samples microscopically
Flouroscence in situ hybdridization
Combined staining techniques
5. MOLECULAR METHODS
Extraction of dna
Real-time quantitative pcr (qpcr)
6. DATA HANDLING
Theory and methods
Methodology and workflow
- Parameter estimation
- Uncertainty analysis
- Prof. Damir Brdjanovic, IHE Delft, The Netherlands
- Dr. Carlos M. Lopez Vazquez, IHE Delft, The Netherlands
- Dr. Francisco Rubio Rincon, IHE Delft, The Netherlands
- Prof. Mark van Loosdrecht, Delft University of Technology, The Netherlands
- Prof. Per Nielsen, Aalborg University, Denmark
- Dr. Gurkan Sin, Denmark University of Technology, Denmark
- Prof. Ingmar Nopens, Gent University, Belgium
- Dr. Henri Spanjers, Delft University of Technology, The Netherlands