Publication Details |
Category | Text Publication |
Reference Category | Journals |
DOI | 10.1007/s10661-025-13795-z |
Licence ![]() |
|
Title (Primary) | Best practice in high-frequency water quality monitoring for improved management and assessment; a novel decision workflow |
Author | Rozemeijer, J.; Jordan, P.; Hooijboer, A.; Kronvang, B.; Glendell, M.; Hensley, R.; Rinke, K.; Stutter, M.; Bieroza, M.; Turner, R.; Mellander, P.E.; Thorburn, P.; Cassidy, R.; Appels, J.; Ouwerkerk, K.; Rode, M.
![]() |
Source Titel | Environmental Monitoring and Assessment |
Year | 2025 |
Department | ASAM; SEEFO |
Volume | 197 |
Issue | 4 |
Page From | art. 353 |
Language | englisch |
Topic | T5 Future Landscapes |
Keywords | Water quality; High-frequency data; Sensors; Monitoring; Decision workflow |
Abstract | The use of high-frequency water quality monitoring has increased over several decades. This has mostly been motivated by curiosity-driven research and has significantly improved our understanding of hydrochemical processes. Despite these scientific successes and the growth in sensor technology, the large-scale uptake of high-frequency water quality monitoring by water managers is hampered by a lack of comprehensive practical guidelines. Low-frequency hydrochemical data are still routinely used to review environmental policies but are prone to missing important event-driven processes. With a changing climate where such event-driven processes are more likely to occur and have a greater impact, the adoption of high-frequency water quality monitoring is becoming more pressing. To prepare regulators and environmental and hydrological agencies for these new challenges, this paper reviews international best practice in high-frequency data provision. As a result, we summarise the added value of high-frequency water quality monitoring, describe international best practices for sensors and analysers in the field, and evaluate the experience with high-frequency data cleaning. We propose a decision workflow that includes considerations of monitoring data needs, sensor choice, maintenance and calibration, and structured data processing. The workflow fills an important knowledge-exchange gap between research and statutory surveillance for future high-frequency water quality sensor uptake by practitioners and agencies. |
Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=30502 |
Rozemeijer, J., Jordan, P., Hooijboer, A., Kronvang, B., Glendell, M., Hensley, R., Rinke, K., Stutter, M., Bieroza, M., Turner, R., Mellander, P.E., Thorburn, P., Cassidy, R., Appels, J., Ouwerkerk, K., Rode, M. (2025): Best practice in high-frequency water quality monitoring for improved management and assessment; a novel decision workflow Environ. Monit. Assess. 197 (4), art. 353 10.1007/s10661-025-13795-z |