Sampling of suspended particulate matter using particle traps in the Rhône River: Relevance and representativeness for the monitoring of contaminants

Masson, Matthieu; Angot, Hélène; Bescond, C. Le; Launay, M.; Dabrin, Aymeric; Miège, Cécile; Coz, Jérôme Le; Coquery, Marina

doi:10.1016/j.scitotenv.2018.04.343

Cited by 37 publications

(31 citation statements)

References 37 publications

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“…Volumetric grain size distribution was analyzed on a CILAS 1190 laser particle size analyzer (range of values: 1 -2 500 pm) according to the ISO 13320 standard method (AFNOR, 2009). Recent investigation on Particle Size Distributions (PSD) in the Rhône River concluded that the usual percentiles d10, d50 or d90 might not be sufficient to describe grain size due to a multimodal shape (Masson et al, 2018). This shape can be modeled as a combination of several homogeneous subpopulations of mixed particles, each following a log-normal distribution.…”

Section: 5grain-size Distribution and Particulate Organic Carbon Amentioning

confidence: 99%

Impact of dam flushing operations on sediment dynamics and quality in the upper Rhône River, France

Lepage

Launay

Coz

et al. 2020

Journal of Environmental Management

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Reviewer 1 Highlights corrected Sediment dynamic differed during flushing operations and flood events Line 15 corrected The Rhône River (France) has been used for energy production for decades and 21 dams have been built. Line 29-In general it is not advisable to start a sentence with an acronym, rather right it out in full corrected The SPM contamination was generally lower than during baseflow and flood regimes. Line 131 corrected More than 3 x 106 m3 of SPM were thus stored in the Verbois reservoir between 2003 and 2012 (Services industriels de Genève, 2014). Line 133 corrected [...] which transports ~0.7 x 106 m3 of SPM per year (approx. 1 to 3 tons dry weight) [...] Line 309-314-This section reads as introduction or as part of the discussion According to reviewer 4, this section was moved in the Materials and Method part.

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Section: 5grain-size Distribution and Particulate Organic Carbon Amentioning

confidence: 99%

Impact of dam flushing operations on sediment dynamics and quality in the upper Rhône River, France

Lepage

Launay

Coz

et al. 2020

Journal of Environmental Management

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“…This example of a global PSD that includes the entire particle size range was deconvoluted, assuming a mixture of lognormal sub-distributions (e.g. Masson et al, 2018). On the left side of the PSD, a weak lognormal mode was detected in the clay range, but it was negligible in comparison to the silt 25 volume.…”

Section: Particle Size Profilesmentioning

confidence: 99%

An index concentration method for suspended load monitoring in large rivers of the Amazonian foreland

Santini¹,

Camenen²,

Coz³

et al. 2019

Preprint

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Because increasing climatic variability and anthropic pressures have affected the sediment dynamics of large tropical rivers, long-term sediment concentration series have become crucial for understanding the related socio-economic and environmental impacts. For operational and cost rationalization purposes, index concentrations are often sampled in the flow and used as a surrogate of the cross-sectional average concentration. However, in large rivers where suspended sands are responsible for vertical concentration gradients, this index method can induce large uncertainties in the matter fluxes. 20Assuming that physical laws describing the suspension of grains in turbulent flow are valid for large rivers, a simple formulation is derived to model the ratio ( ) between index and average concentrations. The model is validated using an exceptional dataset (1330 water samples, 249 concentration profiles, 88 particle size distributions (PSDs) and 494 discharge measurements) that was collected between 2010 and 2017 in the Amazonian foreland. The prediction requires the estimation of the Rouse number ( ), which summarizes the balance between the suspended particle settling and the turbulent lift, weighted 25 by the ratio of sediment to eddy diffusivity ( ). Two particle size groups, washload and sand, were considered to evaluate .Discrepancies were observed between the evaluated and measured , that were attributed to biases related to the settling and shear velocities estimations, but also to diffusivity ratios ≠ 1. An empirical expression taking into account these biases was then formulated to predict accurate estimates of , then (∆ = ±0.03) and finally .The proposed model is a powerful tool for optimizing the concentration sampling. It allows for detailed uncertainty analysis 30 on the average concentration derived from an index method. Finally, this model can be coupled with remote sensing and hydrological modeling to serve as a step toward the development of an integrated approach for assessing sediment fluxes in poorly monitored basins.Earth Surf. Dynam. Discuss., https://doi.

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“…• Measurements were performed on CRMs to investigate the accuracy of the different devices and highlight the differences between them. Three CRMs were selected in order to accurately represent the ranges of suspended particle size, mostly silt-size [38] • The last step was conducted on a mixture of the samples collected in the Azergues and Arc Rivers to control the proportion of modes and the impact of coarse particles. The mixtures were prepared by weighing dry particles in the following proportions (Azergues/Arc in %): Each sample was homogenized and then split into 4 subsamples before being sent to the different laboratories for PSD analysis.…”

Section: Protocol Of Intercomparisonmentioning

confidence: 99%

“…Analyses of PSD are systematically conducted not only to study the transport of particles but also to improve the interpretation of contaminant concentrations, and they can also be used for transport modeling. For example, the use of different sampling techniques for suspended particle sampling (particle trap and continuous flow centrifugation) leads to a bias in particle size [38]. In the case of large environmental monitoring networks such as the OSR program, PSD analyses are processed by an array of laboratory lasers.…”

Section: Introductionmentioning

confidence: 99%

Grain size analyzers: results of an intercomparison study

et al. 2019

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In sciences involving soil and sediment, particle size distribution (PSD) has been one of the parameters given most attention over the past few decades. Formerly measured by sieving and sedimentation techniques, it is nowadays routinely characterized by the laser diffraction method (LDM). Many manufacturers develop particle size analyzers using LDM, but each device is characterized by specific parameters that can lead to different PSDs. At the Rhône Sediment Observatory, suspended particulate matter collected along the Rhône River is analyzed for PSD by four different LDM devices. Analyses were conducted on certified materials and sediment samples for each device. The tests highlighted the difficulty of accurately characterizing PSD, even in the case of certified materials. First, differences observed for a specific device were linked to the heterogeneity observed in the subsamples due to the presence of organic materials such as tree leaves. Second, the difference regarding the certified materials was linked to the laser diffraction method which leads in some cases to underestimating clay content and sand. Third, the main difference observed between the devices was linked to sonication. The results demonstrate that its power is rarely investigated and that it has a considerable impact when used. However, despite significant differences, the trend was similar for each device, with accurate characterizations of the main modal class in most cases. Thus, in the absence of exact knowledge of parameters such as sonication power and pump speed, it is recommended to compare only the trends of the results obtained from the different devices.

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Sampling of suspended particulate matter using particle traps in the Rhône River: Relevance and representativeness for the monitoring of contaminants

Cited by 37 publications

References 37 publications

Impact of dam flushing operations on sediment dynamics and quality in the upper Rhône River, France

Impact of dam flushing operations on sediment dynamics and quality in the upper Rhône River, France

An index concentration method for suspended load monitoring in large rivers of the Amazonian foreland

Grain size analyzers: results of an intercomparison study

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