Uncertainties associated with in situ high-frequency long-term observations of suspended particulate matter concentration using optical and acoustic sensors

Type Article
Date 2019-11
Language English
Author(s) Fettweis Michael1, Riethmüller Rolf2, Verney RomaricORCID3, Becker Marius4, Backers Joan1, Baeye Matthias1, Chapalain Marion3, Claeys Styn5, Claus Jan6, Cox Tom7, Deloffre Julien8, Depreiter Davy6, Druine Flavie8, 9, Flöser Götz2, Grünler Steffen10, Jourdin Frédéric11, Lafite Robert8, Nauw Janine12, 13, Nechad Bouchra1, Röttgers Rüdiger2, Sottolichio Aldo14, Van Engeland Tom7, Vanhaverbeke Wim1, Vereecken Hans5
Affiliation(s) 1 : Royal Belgian Institute of Natural Sciences, OD Nature, Rue Vautier 29, 1000 Brussels, Belgium
2 : Helmholtz-Zentrum Geesthacht, Institute for Coastal Research, Max-Planck-Str. 1, 21502 Geesthacht, Germany
3 : IFREMER, Laboratoire DHYSED, CS10070, 29280 Plouzané, France
4 : Christian-Albrechts-Universität, Institute of Geosciences, Otto-Hahn-Platz 1, 24118 Kiel, Germany
5 : Flanders Hydraulics Research, Berchemlei 115, 2140 Antwerp, Belgium
6 : IMDC, Van Immerseelstraat 66, 2018 Antwerp, Belgium
7 : University of Antwerp, Ecosystem Management Research Group, Universiteitsplein 1C -C.0.32, 2610 Wilrijk, Belgium
8 : Normandie University Rouen, UNIROUEN, UNICAEN, CNRS, M2C, 76000 Rouen, France
9 : University of Tours, EA GéoHydrosystèmes continentaux, Parc Grandmont, 37200 Tours, France
10 : Federal Waterways Engineering and Research Institute (BAW), Wedeler Landstr. 157, 22559 Hamburg, Germany
11 : Service Hydrographique et Océanographique de la Marine (SHOM), 13 rue du Chatellier, 29228 Brest, France
12 : Royal Netherlands Institute for Sea Research, Department of Coastal Systems Royal Netherlands Institute for Sea Research, Department of Coastal Systems and Utrecht University, PO Box 59, 1790 AB Den Burg Texel, The Netherlands
13 : Royal Netherlands Institute for Sea Research, Department of Coastal Systems and Utrecht University, PO Box 59, 1790 AB Den Burg Texel, The Netherlands
14 : University of Bordeaux, EPOC, UMR5805, 33600, Pessac, France
Source Progress In Oceanography (0079-6611) (Elsevier BV), 2019-11 , Vol. 178 , P. 102162 (26p.)
DOI 10.1016/j.pocean.2019.102162
WOS© Times Cited 7
Keyword(s) Suspended particulate matter, Measurement uncertainty, Regression, Optical and acoustical sensors
Abstract

Measurement of suspended particulate matter concentration (SPMC) spanning large time and geographical scales have become a matter of growing importance in recent decades. At many places worldwide, complex observation platforms have been installed to capture temporal and spatial variability over scales ranging from cm (turbulent regimes) to whole basins. Long-term in situ measurements of SPMC involve one or more optical and acoustical sensors and, as the ground truth reference, gravimetric measurements of filtered water samples. The estimation of SPMC from optical and acoustical proxies generally results from the combination of a number of independent calibration measurements, as well as regression or inverse models. Direct or indirect measurements of SPMC are inherently associated with a number of uncertainties along the whole operation chain, the autonomous field deployment, to the analyses necessary for converting the observed proxy values of optical and acoustical signals to SPMC. Controlling uncertainties will become an important issue when the observational input comprises systems of sensors spanning large spatial and temporal scales. This will be especially relevant for detecting trends in the data with unambiguous statistical significance, separating anthropogenic impact from natural variations, or evaluating numerical models over a broad ensemble of different conditions using validated field data.

The aim of the study is to present and discuss the benefits and limitations of using optical and acoustical backscatter sensors to acquire long-term observations of SPMC. Additionally, this study will formulate recommendations on how to best acquire quality-assured SPMC data sets, based on the challenges and uncertainties associated with those long-term observations. The main sources of error as well as the means to quantify and reduce the uncertainties associated with SPMC measurements are also illustrated.

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Fettweis Michael, Riethmüller Rolf, Verney Romaric, Becker Marius, Backers Joan, Baeye Matthias, Chapalain Marion, Claeys Styn, Claus Jan, Cox Tom, Deloffre Julien, Depreiter Davy, Druine Flavie, Flöser Götz, Grünler Steffen, Jourdin Frédéric, Lafite Robert, Nauw Janine, Nechad Bouchra, Röttgers Rüdiger, Sottolichio Aldo, Van Engeland Tom, Vanhaverbeke Wim, Vereecken Hans (2019). Uncertainties associated with in situ high-frequency long-term observations of suspended particulate matter concentration using optical and acoustic sensors. Progress In Oceanography, 178, 102162 (26p.). Publisher's official version : https://doi.org/10.1016/j.pocean.2019.102162 , Open Access version : https://archimer.ifremer.fr/doc/00510/62132/