This course targets young and mid-career professionals (scientists, consultants, decision makers) with a background in water management or environmental science.
The course will provide you with the background needed to design effective water quality monitoring networks of surface waters.
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.
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).
Upon completion, the participant should be able to: