Evidence map›Paper›PMID 40038155›Full record

ReviewEnvironmental monitoring and assessment2025

Best practice in high-frequency water quality monitoring for improved management and assessment; a novel decision workflow.

J Rozemeijer, P Jordan, A Hooijboer, B Kronvang, M Glendell, R Hensley, K Rinke, M Stutter, M Bieroza, R Turner and 6 more

Abstract readReview
In one paragraph

Review in Environmental monitoring and assessment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Closing the gaps: applicability of missing data handling techniques for urban runoff quality time series.Water science and technology : a journal of the International Association on Water Pollution Research · 2026
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

J RozemeijerDepartment of Subsurface and Groundwater Quality, Deltares, Daltonlaan 600, 3584 BK, Utrecht, the Netherlands.
P JordanCo-Centre for Climate + Biodiversity + Water, School of Geography and Environmental Sciences, Ulster University, Coleraine, BT52 1SA, UK.
A HooijboerNational Institute for Public Health and the Environment, RIVM, P.O. Box 1, 3720 BA, Bilthoven, the Netherlands.
B KronvangInstitute of Ecoscience, C.F. Møllers Allé 3, Aarhus Univ., DK8000, Aarhus, Denmark.
M GlendellJames Hutton Institute, Craigiebuckler, Aberdeen, AB15 8QH, UK.
R HensleyNational Ecological Observatory Network, Battelle, Boulder, CO, USA.
K RinkeDepartment Lake Research, Helmholtz Centre for Environmental Research - UFZ, Magdeburg, Germany.
M StutterJames Hutton Institute, Craigiebuckler, Aberdeen, AB15 8QH, UK.
M BierozaDepartment of Soil and Environment, Swedish University of Agricultural Sciences, Box 7014, 75007, Uppsala, Sweden.
R TurnerReef Catchments Science Partnership, School of the Environment, The University of Queensland, Brisbane, Queensland, 4108, Australia.
P E MellanderAgricultural Catchments Programme, Department of Environment, Soils and Landuse, TEAGASC, Johnstown Castle, Ireland.
P ThorburnCSIRO Agriculture and Food, 306 Carmody Rd, St Lucia, Queensland, 4067, Australia.
R CassidyEnvironment and Marine Science Division, Agri-Food and Biosciences Institute (AFBI), Belfast, Northern Ireland.
J AppelsmicroLAN BV, Biesbosweg 2, 5145PZ, Waalwijk, the Netherlands.
K OuwerkerkDepartment of Subsurface and Groundwater Quality, Deltares, Daltonlaan 600, 3584 BK, Utrecht, the Netherlands.
M RodeDepartment of Aquatic Ecosystem Analysis and Management, Helmholtz Centre for Environmental Research - UFZ, Magdeburg, Germany. michael.rode@ufz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Environmental MonitoringWater QualityWater Pollutants, ChemicalWorkflowWater Pollutants, ChemicalDecision workflowHigh-frequency dataMonitoringSensorsWater quality

Identifiers

PMID40038155
PMCPMC11880092

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.