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Water Quality Assessment and Monitoring

The course will provide you with the background needed to design effective water quality monitoring networks of surface waters.

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2022
2021 Edition Online

This course will be offered in an online/remote teaching format due to Covid-19 restrictions. The course's content and learning objectives will remain unchanged, while the duration may be extended. You can contact the course coordinator for more information about the new -temporary- format of the course.

For whom?

Young and mid-career professionals (scientists, consultants, decision makers) with a background in Water management or Environmental science.

Prerequisites

Required: Basic knowledge in chemistry and statistics || Basic knowledge in computer operations (MS-Windows, Office) || Basic knowledge in QGIS (ES programme module 2 or IHE Open CourseWare on Open Source Software for Preprocessing GIS Data for Hydrological Models, exercises 1, 2 and 7).

Recommended: Basic knowledge of R statistical software (ES programme modules 2-3). 

Dates, Fee, ECTS

Start: 19 April 2021
End: 07 May 2021
ECTS credit points: 5
Deadline IHE application: 14 December 2020 - 23.59 (CET)
Course fee: € 3000
Course is full

Start: 04 April 2022
End: 22 April 2022
Deadline IHE application: 03 March 2021 - 23.59 (CET)
Course fee: € 3000

VAT is not included in the course fee

Learning objectives

Upon completion, the participant should be able to:
  1. Select and apply appropriate methods to assess water quality in natural waters in relation to their anticipated use.
  2. Design and evaluate water quality monitoring networks for different types of surface and groundwater in relation to set objectives.
  3. Report the results of water quality assessment and monitoring programmes using appropriate statistical tools for interpretation and presentation of large data sets.

Course content

The fundamental question of why we monitor will be discussed, along with what water quality variables to monitor in relation to different objectives. Participants will design a monitoring network, and open source tools to gather information for monitoring will be explored. Finally, participants will work on ensuring data quality, and on statistical analyses of water quality data.

Prerequisites

Required: Basic knowledge in chemistry and statistics || Good command of English || Basic knowledge in computer operations (MS-Windows, Office) || Basic knowledge in QGIS (ES programme module 2 or IHE Open CourseWare on Open Source Software for Preprocessing GIS Data for Hydrological Models, exercises 1, 2, en 7).

Recommended: basic knowledge of R statistical software (ES programme modules 2-3). 

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