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Quantifying measurement uncertainty in real time continuous water quality monitoring: methodological approaches and implications for data interpretation.

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Τίτλος: Quantifying measurement uncertainty in real time continuous water quality monitoring: methodological approaches and implications for data interpretation.
Συγγραφείς: Guigues N; Laboratoire National de Métrologie et d'Essais (LNE), 1 Rue Gaston Boissier, 75015, Paris, France. nathalie.guigues@lne.fr., Savatier M; Agence nationale pour la gestion des déchets radioactifs (ANDRA) / Observatoire Pérenne de l'Environnement (OPE), Centre Meuse / Haute Marne, D 960, 55290, Bure, France., Lalere B; Laboratoire National de Métrologie et d'Essais (LNE), 1 Rue Gaston Boissier, 75015, Paris, France.
Πηγή: Environmental monitoring and assessment [Environ Monit Assess] 2026 Jul 24; Vol. 198 (8). Date of Electronic Publication: 2026 Jul 24.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE
Imprint Name(s): Publication: 1998- : Dordrecht : Springer
Original Publication: Dordrecht, Holland ; Boston : D. Reidel Pub. Co., c1981-
Ιατρικοί όροι (MeSH): Environmental Monitoring*/methods , Water Quality*/standards , Water Pollutants, Chemical*/analysis, Rivers/chemistry ; Groundwater/chemistry ; Uncertainty ; France
Περίληψη: A long-term environmental programme (OPE) was set up in 2007 by the French National Radioactive Waste Management Agency as a research tool observing simultaneously various environmental compartments in the north-eastern part of France. Since 2012, six continuous water quality monitoring stations created by the OPE assess the variability in time and space of the water quality of three rivers flowing in limestone catchments with distinct impacts of groundwater/surface interactions. We developed a novel approach to estimate sensor measurement uncertainty at the six OPE river stations by calculating the 90th percentile of differences between monthly quality controls and in situ sensor readings. Performances under controlled and real conditions were also compared, showing that this method based on percentiles 90 using ongoing quality controls is more realistic than uncertainty evaluations carried out under controlled conditions. This is partly because it takes into account real conditions over a hydrological year (temperature, flow of watercourses, interferences, etc.) as well as long-term deployment conditions (biofouling). The measurement uncertainty in real time is a prerequisite to avoid over-interpreting variations that are within the measurement uncertainty and thus identify significant trends over time. After accounting for uncertainty, the variability of conductivity, dissolved oxygen, and pH measured using sensor measurements in these rivers during 14 years could be analysed confidently. This in turn allowed us to interpret differences in the impacts of groundwater-surface interactions on river composition and confirm the extent and variability of dissolved oxygen depletion in these rivers.
(© 2026. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)
Competing Interests: Declarations. All authors have read, understood, and have complied as applicable with the statement on “Ethical responsibilities of Authors. Ethical approval: The research involved in this study did not deal with either human participants and/or animals. Indeed, the measurements are based on physical or chemical measuring principles and the targeted compounds were physical parameters (e.g. temperature, electrical conductivity, turbidity) or chemical parameters (pH, nitrates, or ganic carbon). Competing interests: The authors declare no competing interests.
References: ACT, Alliance for Coastal Technologies. (2015). Performance verification statement for XYLEM EXO2 Sonde Dissolved Oxygen Sensors. ACT VS16-06, 59.p. ACT - Evaluation Reports. Accessed 19/02/2026.
ACT, Alliance for Coastal Technologies. (2016). Performance verification statement for XYLEM EXO2 pH Sensor. ACT VS15-07, 73p. ACT - Evaluation Reports. Accessed 19/02/2026.
Aisopou, A., Stoianov, I., & Graham, N. J. D. (2012). In-pipe water quality monitoring in water supply systems under steady and unsteady state flow conditions: A quantitative assessment. Water Research, 46(1), 235–246. https://doi.org/10.1016/j.watres.2011.10.058. (PMID: 10.1016/j.watres.2011.10.058)
Ali, S., Wang, Q., Liu, D., Fu, Q., Rahaman, M. M., Abrar Faiz, M., & Jehanzeb Masud Cheema, M. (2022). Estimation of spatio-temporal groundwater storage variations in the lower transboundary Indus Basin using GRACE satellite. Journal of Hydrology, 605, Article 127315. https://doi.org/10.1016/j.jhydrol.2021.127315. (PMID: 10.1016/j.jhydrol.2021.127315)
ANDRA & BRGM. (2026). Modified version of the BRGM WFS layer “Carte géologique harmonisée à l’échelle 1/50 000”, WFS layer : SCAN_H_RELIEF_GEOL50. Layers modified/harmonized and grouped for visibility purpose at the scale of the studied catchments. Accessed 09/06/2026. https://infoterre.brgm.fr/page/geoservices-ogc.
Bende-Michl, U., & Hairsine, P. B. (2010). A systematic approach to choosing an automated nutrient analyser for river monitoring. Journal of Environmental Monitoring, 12(1), 127–134. https://doi.org/10.1039/B910156J. (PMID: 10.1039/B910156J)
Bettencourt da Silva, R. (2026). Evaluation of measurement uncertainty from in-house precision and recovery data. Eurachem/CITAC Guide, First Edition. Accessed 08/06/26.  https://www.eurachem.org.
Brabant, L., Robbe, N., & Savatier, M. (2023). Reconnaissance des circulations souterraines par traçage de mars à mai 2023 - Centre Meuse-Haute-Marne (CMHM - Bure 55). Rapport ANDRA DRPFEES, 230011, 45p.
Brulhet, J., Bernabderrahmane, H., Brocandel, M. (2008). Premiers résultats des traçages dans les calcaires oxfordiens en bordure sud du secteur meuse haute-marne, Rapport ANDRA CNTASMG080066, 22 p.
Cai, W.-J., & Wang, Y. (1998). The chemistry, fluxes, and sources of carbon dioxide in the estuarine waters of the Satilla and Altamaha Rivers, Georgia. Limnology and Oceanography, 43(4), 657–668.
Cantwell, H. (Ed.) (2025) Eurachem guide: The fitness for purpose of analytical methods: A laboratory guide to method validation and related topics (3rd ed. 2025). Available from http://www.eurachem.org.
Carritt, D. E., & Carpenter, J. H. (1966). Comparison and evaluation of currently employed modifications of the Winkler method for determining dissolved oxygen in seawater; A NASCO report. Journal of Marine Research, 24, 286–318.
Carstensen, J., & Duarte, C. M. (2019). Drivers of pH variability in coastal ecosystems. Environmental Science & Technology, 53(8), 4020–4029. https://doi.org/10.1021/acs.est.8b03655. (PMID: 10.1021/acs.est.8b03655)
CIS common implementation strategy for the water framework directive (2009). Guidance on surface water chemical monitoring under the Water Framework Directive, n19. Guidance on surface water chemical monitoring under the water framework directive. Guidance document No 19 - Publications Office of the EU. Accessed 19/01/26.
Da, F., Stock, C. A., Dunne, J. P., Liu, X., Luo, J. Y., Lee, M., & Shevliakova, E. (2025). A global perspective on river alkalinity: Drivers and implications for coastal ocean carbonate chemistry. Global Biogeochemical Cycles. https://doi.org/10.1029/2025GB008528. (PMID: 10.1029/2025GB008528)
Directive QAQC 2009/90/EC of 31 July 2009 laying down, pursuant to Directive 2000/60/EC of the European Parliament and of the Council, technical specifications for chemical analysis and monitoring of water status. Accessed 08/06/26.  https://eur-lex.europa.eu/eli/dir/2009/90/oj/eng.
Ellison, S. L. R., & Williams, A. (Eds) (2012) Eurachem/CITAC guide: Quantifying uncertainty in analytical measurement, Third edition, ISBN 978-0-948926-30-3. Available from https://www.eurachem.org.
EN 17075:2018+A1:2023 Water quality - General requirements and performance test procedures for water monitoring equipment - Continuous measuring devices, CEN, Brussels.
EN ISO 15839:2006 Water quality — On-line sensors/analysing equipment for water — Specifications and performance tests, CEN, Brussels.
FAO/WHO. (2025). Expert Meeting on water quality in agrifood systems and food safety implications – focus on chemical contaminants. 20–23 May 2025, FAO headquarters, Rome SUMMARY REPORT Issued in June 2025. https://www.who.int/publications/m/item/ad-hoc-fao-who-expert-meeting-on-water-quality-in-agrifood-systems-and-food-safety-implications-focus-on-chemical-contaminants . Accessed 24/02/26.
Fisher, R. J. (1963). Influence of oxygen concentration and of its diurnal fluctuations on the growth of juvenile coho salmon. Master of Science Thesis. Oregon State University, Corvallis, Oregon, 48 p.
Guigues, N. (2012). Stations Instrumentées de suivi de la qualité de l’eau sur la zone OPE. Partie 1: Caractérisation métrologique des sondes de mesure en continu. Rapport LNE M010348DMSI/1, 145 p.
Guigues, N. (2019). Stations Instrumentées de suivi de la qualité de l’eau sur la zone OPE. Note 5 : Performances de la sonde multiparamètres EXO2. Rapport LNE P169020 DMSI/8, 40 p.
Guigues, N. (2022). Stations Instrumentées de suivi de la qualité de l’eau sur la zone OPE. Note 3 : Performances de deux capteurs pour la mesure des nitrates : électrode sélective et absorbance UV de la sonde EXO2. Rapport LNE P202645, DMSI/4, 23 p.
Guigues, N., Uysal, E., Raveau, S., Magar, j, Billon, G., Kahiluoto, J., Schneider, R. J., Liv, L., Gençtürk Tosun, S., Canteau, G., & Lalere, B. (2024). Insights on the validation of alternative tools for water quality monitoring: The case of on‑site test kits, portable devices and continuous measuring devices. Accreditation and Quality Assurance. https://doi.org/10.1007/s00769-023-01570-x. (PMID: 10.1007/s00769-023-01570-x)
Hartmann, J., Lauerwald, R., & Moosdorf, N. A. (2014). Brief overview of the GLObal RIver Chemistry Database. GLORICH, Procedia Earth and Planetary Science, 10, 23–27. https://doi.org/10.1016/j.proeps.2014.08.005. (PMID: 10.1016/j.proeps.2014.08.005)
Hicks, M. (2002). Evaluating criteria for the protection of freshwater aquatic life in Washington’s surface water quality standards: Dissolved oxygen. Washington State Department of Ecology, Olympia, WA, USA.
Hill, T., & Neal, C. (1997). Spatial and temporal variation in pH, alkalinity and conductivity in surface runoff and groundwater for the Upper River Severn catchment. Hydrology and Earth System Sciences, 1, 697–715. https://doi.org/10.5194/hess-1-697-1997. (PMID: 10.5194/hess-1-697-1997)
Horsburgh, J. S., Spackman Jones, A., Stevens, D. K., Tarboton, D. G., & Mesner, N. O. (2010). A sensor network for high frequency estimation of water quality constituent fluxes using surrogates. Environmental Modelling & Software, 25(9), 1031–1044. https://doi.org/10.1016/j.envsoft.2009.10.012. (PMID: 10.1016/j.envsoft.2009.10.012)
IGN, OFB & OIEAU. (2024). Modified version of the layer “Tronçon hydrographiques - BD Topage - Métropole – 2024” from WFS data of the BD Topage: Intermittence regime modified by Savatier using OPE drought observations on the period 2023–2026 (OPE data set).  https://services.sandre.eaufrance.fr/geo/sandre.
ISO 11352:2025 Water quality — Estimation of measurement uncertainty based on validation and quality control data, ISO, Geneva.
JCGM. (2008). Evaluation of measurement data – Guide to the expression of uncertainty in measurement. JCGM 100:2008. (GUM 1995 with minor corrections). Accessed 19/01/26.  https://www.bipm.org/fr/committees/jc/jcgm/publications.
Kahiluoto, J.; Hirvonen, J. & Näykki, T. (2019). Automatic real-time uncertainty estimation for online measurements: a case study on water turbidity. Environ Monit Assess, 2019, Volume 191, 259. https://doi.org/10.1007/s10661-019-7374-7.
Lui, X., Patsavas, M., & Bryne, R. (2011). Purification and characterisation of meta-Cresol Purple for spectrophotometric seawater pH measurements. Environmental Science and Technology, 35, 1197–1201. https://doi.org/10.1021/es200665d. (PMID: 10.1021/es200665d)
Magnusson, B., Näykki, T., Hovind, H., & Krysell, M. (2017). Handbook for calculation of measurement uncertainty in environmental laboratories. Nordtest Report TR 537, 4<sup>th</sup> ed. Accessed 19/01/26. www.nordtest.info.
Marescaux, A., Thieu, V., Gypens, N., Silvestre, M., & Garnier, J. (2020). Modeling inorganic carbon dynamics in the Seine River continuum in France. Hydrology and Earth System Sciences, 24(5), 2379–2398. https://doi.org/10.5194/hess-24-2379-2020. (PMID: 10.5194/hess-24-2379-2020)
Marguier, O., & Savatier, M. (2025). Traçages hydrogéologiques – Rapport de mesure T1/T2 HE- Démontrant une connexion via les eaux souterraines entre les pertes de l’Orge et des sources alimentant la Saulx. Rapport ANDRA ENVRPFEES, 250027, 58p.
Marguier, O., & Savatier, M. (2026). Traçages hydrogéologiques – Rapport de mesure T3T4BE- Résultats des injections en basses eaux dans des pertes totales de la Saulx en aval de Morley et Ménil-sur-Saulx, et dans deux gouffres proches d’Aulnois en Perthois. Rapport ANDRA ENVRPFEES260012. 104p.
MCERT. (2010). Performance Standards and Test Procedures for Continuous Water Monitoring Equipment. Part 2 - Performance standards and test procedures for on-line monitors. Environment Agency, Version 3.1. Accessed 19/01/26.  https://www.gov.uk/government/publications/mcerts-performance-standards-and-test-procedures-for-continuous-water-monitoring-equipment-part-2.
McGrath, T., McGovern, E., Cave, R. R., & Kivimae, C. (2016). The inorganic carbon chemistry in coastal and shelf waters around Ireland. Estuaries and Coasts, 39, 27–39. https://doi.org/10.1007/s12237-015-9950-6. (PMID: 10.1007/s12237-015-9950-6)
Metéo France. (2026). Rainfall dataset for the station of Cirfontaines-en-Ornois (Station 52131002) and Houdelaincourt (station 55248001 or OPE90006), API for Climatological datasets. Accessed 21/01/2026.  https://portail-api.meteofrance.fr/web/fr/api/DonneesPubliquesClimatologie.
Naïades Eau France database. Accessed 19/01/26.  https://naiades.eaufrance.fr/acces-donnees#/physicochimie.
Näykki, T., Leivuori, M., Björklöf, K., et al. (2014). Proficiency test of pH, conductivity and dissolved oxygen concentration field measurements in river water. Accreditation and Quality Assurance, 19, 259–268. https://doi.org/10.1007/s00769-014-1064-5. (PMID: 10.1007/s00769-014-1064-5)
Näykki, T., Virtanen, A., Kaukonen, L., Magnusson, B., Väisänen, T., & Leito, I. (2019). Application of the Nordtest method for real-time uncertainty estimation of on-line field measurement. Environmental Monitoring and Assessment, 187, Article 630. https://doi.org/10.1007/s10661-015-4856-0. (PMID: 10.1007/s10661-015-4856-0)
Ramsey, M. H., Ellison, S. L. R. & Rostron, P. (Eds) (2019). Eurachem/EUROLAB/ CITAC/Nordtest/AMC Guide: Measurement uncertainty arising from sampling: a guide to methods and approaches. Second Edition, Eurachem. ISBN (978-0-948926-35-8). Available from http://www.eurachem.org.
Science environnement (2015). Etude de l’Aire d’Alimentation des Captages de la source de Massonfosse et du forage 1977, Traçages complémentaires. Note technique n° 1 : coloration d’Avril 2015 – Juin 2015 – Vers 1.0.
Skeffington, R. A., Halliday, S. J., Wade, A. J., Bowes, M. J., & Loewenthal, M. (2015). Using high-frequency water quality data to assess sampling strategies for the EU water framework directive. Hydrology and Earth System Sciences, 19, 2491–2504. https://doi.org/10.5194/hess-19-2491-2015. (PMID: 10.5194/hess-19-2491-2015)
Viennet, D., & Gigleux, S. (2015). Rapport des investigations sur l’aquifère des Calcaires du Barrois, Rapport de Master Géologie appliquée. Rapport ANDRA DRPFCESI, 50042, 75p.
Wagner, R.J., Boulger, R.W., Oblinger, C.J., & Smith, B.A. (2006). Guidelines and standard procedures for continuous water-quality-monitors – Station operation, record computation, and data reporting. USGS Techniques and Methods 1-D3, 51 p. + 8 attachments. TM 1-D3: Guidelines and Standard Procedures for Continuous Water-Quality Monitors: Station Operation, Record Computation, and Data Reporting. Accessed 19/01/26.
WFD - Directive (EU) 2026/805 of the European Parliament and of the Council of 30 March 2026 amending Directive 2000/60/EC establishing a framework for Community action in the field of water policy, Directive 2006/118/EC on the protection of groundwater against pollution and deterioration and Directive 2008/105/EC on environmental quality standards in the field of water policy. Accessed 08/06/26.  https://eur-lex.europa.eu/eli/dir/2026/805/oj.
Whitworth, W. R. (1968). Effects of diurnal fluctuations of dissolved oxygen on the growth of brook trout. Journal of the Fisheries Research Board of Canada, 25, 579–584. https://doi.org/10.1139/f68-048. (PMID: 10.1139/f68-048)
Contributed Indexing: Keywords: Groundwater-surface water interactions; High-frequency environmental monitoring; Long-term data analysis; River chemistry; Sensor measurement uncertainty; Water quality
Substance Nomenclature: 0 (Water Pollutants, Chemical)
Entry Date(s): Date Created: 20260724 Date Completed: 20260724 Latest Revision: 20260724
Update Code: 20260725
DOI: 10.1007/s10661-026-15705-3
PMID: 42498791
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:1573-2959
DOI:10.1007/s10661-026-15705-3