Water Quality Assessment and Monitoring
Application for admission to the 2024 edition of this course is expected to open in January 2023.
the course in 2023 has reached the maximum number of participants
For whom?
Young and mid-career professionals (scientists, consultants, decision makers) within the water sector.
Prerequisites
Pre-requisites are a basic knowledge in chemistry, statistics and GIS.
Dates, Fee, ECTS
Start: 06 February 2023
End: 24 February 2023
ECTS credit points: 5
Deadline IHE application: 05 January 2023 - 23.59 (CET)
Course fee: € 5250
Course is full
VAT is not included in the course fee
Learning objectives
Upon completion, the participant should be able to:
- Select and apply appropriate methods to assess water quality in freshwaters in relation to their anticipated use.
- Design and evaluate water quality monitoring networks for different types of surface and groundwater in relation to set objectives.
- Report the results of water quality assessment and monitoring programmes using appropriate statistical tools for interpretation and presentation of large data sets.
Course content
In order to manage aquatic ecosystems effectively, physical, chemical and biological information needs to be collected, analysed, interpreted and reported on. The selection and application of appropriate methods in relation to their anticipated use is crucial for the assessment of the water quality in groundwaters and freshwater surface water bodies.
The design and evaluation of water quality monitoring networks in relation to the set objectives is analysed for surface water and groundwater. At the same time, the interconnection between the surface and groundwaters as well as the spatial and temporal variation of their water quality is taken into consideration in order to understand and manage the influence of different factors such as inputs of (treated) wastewaters and agricultural drainage.
Finally, special attention is given to the report of the water quality assessment and monitoring results with the use of appropriate statistical tools for the interpretation and presentation of large data sets that will form the base for the development of pollution prevention and management strategies.
Through exercises participants will become familiar with data analysis, while through the use of case studies they will gain insight on how to appropriately design a monitoring network. They are then asked to apply their knowledge by designing a monitoring network plan for their country. A fieldtrip will be carried out for sampling and it will be followed by a laboratory session.