Skip to main content

DATA REPORT article

Front. Earth Sci.
Sec. Hydrosphere
Volume 12 - 2024 | doi: 10.3389/feart.2024.1386547

Monitoring microplastics in the Seine River in the Greater Paris area Provisionally Accepted

  • 1LEESU, Ecole des Ponts ParisTech, Université Paris Est Créteil, France
  • 2Laboratoire Eau et Environnement GERS-LEE, Université Gustave Eiffel, France
  • 3Deltares (Netherlands), Netherlands
  • 4Syndicat Interdépartemental pour l'assainissement de l'agglomération Parisienne (SIAAP), France
  • 5Amsterdam Institute for Life and Environment, VU Amsterdam, Netherlands

The final, formatted version of the article will be published soon.

Receive an email when it is updated
You just subscribed to receive the final version of the article


Microplastics (MPs) are ubiquitous environmental contaminants present in all natural compartments (Miranda et al., 2020). MPs are persistent and harmful e.g., through the release of toxic chemicals (Wagner et al., 2024), negatively impact natural resources, organisms, and human health (Amobonye et al., 2021). It is thus important to understand MPs fate and impact once they leaked into the environment to adopt mitigation and protection measures. Freshwaters are key ecosystems worthy of protection against MP pollution and rivers play an important role. Rivers are often under anthropogenic pressure receiving MPs (Kumar et al., 2021) through surface runoff, combined sewer overflows (CSOs), or wastewater treatment plant (WWTP) effluent (Fahrenfeld et al., 2019;Nguyen et al., 2024). To elucidate sources, understand MP transport and assess the ecological impacts comprehensive monitoring is needed. This should include MP concentration and fluxes (Miranda et al., 2020) across temporal and spatial scales. Additional information on the environmental conditions such as the river flow rate, weather conditions, and water quality parameters like suspended particle concentration or algal biomass help to explain MPs in the environmental context (Birch et al., 2020) and to identify potential solutions (C. Li et al., 2020;S. Li et al., 2023).The Seine River in France (Figure 1) meanders 750km from east to northwest and is subject to intense urban activities (up to 5,000 inhabitants km -2 ) before reaching the English Channel. Traversing Greater Paris with 12 million inhabitants (Tabuchi et al., 2016) the Seine consistently receives sewer effluents via WWTPs (2021: ~ 853 million m 3 from four major WWTPs) and CSOs (~ 23 million m 3 in 2021) during periods of intense rainfall (Flipo et al., 2020(Flipo et al., , 2021)). Studies (Dris et al., 2015;Treilles et al., 2022) have highlighted MP contamination in the Seine around Paris, exhibiting 4-5,000 particles m -3 as median concentration.Further insights into the complex dynamics of MP occurrence in the Seine River are needed. This data paper is the basis for further analyses presented later answering questions like: Are MP concentrations increased downstream of Paris, indicating significant urban contribution to the contamination and which urban sources could be important contributors? How is MP occurrence linked to the different MP sources along the river stream? Therefore, a one-year MP monitoring campaign in the Seine River upstream and downstream of Greater Paris was conducted. This paper describes the unique MP monitoring dataset of the Seine River including 1) an overview of MP occurrence in the Seine between July 2021 and July 2022 based on four sampling campaigns, 2) data on physical water parameters, 3) data on hydrological conditions including a water balance, and 4) data on potential sewer point sources. This dataset provides comprehensive data reporting to foster cross-study comparisons (Cowger et al., 2020).
Monitoring included collecting MP data and some physical water quality and hydrological parameters from field samples and measurements. Detailed hydrological and meteorological data (river discharge, water level, precipitation) and data on sewage discharges (WWTPs, CSOs) were collected by third parties.

The monitoring area (Figure 1 A) is situated in the upper Seine catchment (~67×10 3 km 2 ). The oceanic climate has annual average temperatures of 19.5°C in summer and 5°C in winter, with low temporal variations in rainfall (mean annual precipitation 642mm). The Seine (mean discharge in Paris: 319m 3 s - 1 ) has two distinct seasonal flow regimes: a low flow during summer (mean 125m 3 s -1 ) and a high flow during winter (mean 583m 3 s -1 ) (Flipo et al., 2021). This seasonality is driven by evapotranspiration in the catchment and the presence of natural aquifers. Four upstream reservoirs maintain summer flows above 100 m 3 s -1 and contribute to regulate flood periods. Twelve tributaries flow into the Seine within the monitored area, including the three preeminent tributaries Yonne, Marne, and Oise. Six sampling sites reached downstream spanning 442km along the Seine from Marnay-sur-Seine to Poses before the estuary influence (Figure 1). The two sampling sites Marnay-sur-Seine (S1) and Choisy-le-Roi (S2) are located upstream of Paris, and four sampling sites at the locations Suresnes (S3), Bougival (S4), Triel-sur-Seine (S5), and Poses (S6) are located downstream of Paris. An additional sampling site just before the Seine-Marne confluence at Marne à Alfortville (M1) was monitored to account for MPs entering from the Marne River. All sampling sites exhibited anthropogenically modified riverbanks varying from concrete walls to overgrown slopes. Two sampling campaigns per river flow season (low and high) were carried out. The four sampling campaigns were conducted in July 12-22, 2021, November 2-11,2021, February 15-24, 2022, and July 20-27, 2022.

MPs with a major particle diameter (further on referred to as particle size) between 25µm and 300µm were assessed. The lower sampling mesh size was 10µm. MP samples were collected ca. 1-3 meter away from the river shore at the sampling sites during daylight for all four sampling campaigns in the surface water (upper 0.1-0.3m) using an in-situ cascade filtration pump (Universal Filtration Object (UFO) developed by Aalborg University, (Rist et al., 2020), Supplementary Information (SI) Figure 1). Seven liters per minute of water were pumped through a 5,000µm grid cage and stainless-steel tube over stainless steel filters of first 300µm and then 10µm pore-size. One sample consisted of four filter (16 cm in diameter and 10 µm pore size). A pressure threshold of 1.8 bar indicated filter clogging. Sampling volumes vary from 74L to 940L depending on the water conditions as higher suspended particulate matter in the water led to faster clogging.The loaded filters were rinsed and ultrasonicated (2-4 minutes) before hydrogen peroxide (10 vol-% H2O2) wet oxidation for 18-24 hours at 30°C, and the solution was filtered afterwards. This was followed by sodium-iodide (density 1.63-1.7g cm -3 NaI) density separation using JAMSS density separator units (Nakajima et al., 2019) and volume-reducing "anodisc" (0.2 µm, Whatman) filtration.During the procedures, the filters were stored in clean glass Petri dishes at room temperature. After oxidation and density separation, the filters were rinsed and ultrasonicated. The extracted particles on the anodisc filters were then analyzed by micro-Fourier transform infrared spectroscopy (µ-FTIR, SI 2) with a detection limit (pixel resolution) of 25µm. Spectra were further interpreted using systematic identification of MP in the environment (siMPle®) software (SI 3, Primpke et al. ( 2020)) providing characteristics such as polymer type, particle dimensions, and mass (calculated by the software using minor and major dimension, particle thickness estimated at 0.6 x 2 x minor dimension, polymer density, and assuming an ellipsoid shape). The sample processing is visualized in SI 4.Throughout the study, strict protocols were followed to ensure the integrity of the samples and prevent MP contamination. To minimize the risk of synthetic material contamination, all personnel always wore cotton lab coats and refrained from wearing synthetic clothing. All procedures were executed under a laminar flow bench or fume hood. All solutions used were pre-filtered (GF/D 2.7µm, Whatman). Glassware, glass-fiber, and stainless-steel filters were muffled, i.e., temperature treatment at 500°C for 2-3 hours. Workspaces were routinely cleaned. Plastic materials were avoided during laboratory processes except for sample processing for campaigns July 2021 and November 2021, where PE squeezing bottles were utilized for rinsing PE bottles with PP caps. Procedural blanks (~100mL of filtered tab water) were carried out in parallel to the sample processing as of the H2O2 oxidation for MPs (results see dataset sheet MP blanks).
Temperature, pH, and conductivity were measured during each MP sampling campaign using a multiprobe (Multiline P4, WTW). A clean stainless-steel bucket was filled with >5L of river surface water, and measurements were taken inside the bucket. Turbidity was measured as nephelometric turbidity units (NTU) in triplicate using an in-situ turbidity meter (Hach 2100P Turbidimeter). Suspended sediment concentration (SSC) was determined from a one-liter sample of river water following the standard procedure ASTM D3977 with a slight modification of drying temperature (>48 hours at 60°C). The total sample was filtered on a muffled GF/F filter (pore size 0.7µm, Whatman), dried and weighted.
For each sampling site, the distance from the river source and the river catchment area up to that point are obtained from HydroSHEDS data (Lehner & Grill, 2013).Data of river discharge (Q, m 3 s -1 ) and water level (H, m) for the Seine and Marne Rivers and relevant tributaries near the confluences were obtained from 18 hydrological monitoring stations as daily averaged values from the Central Service for Hydrometeorology and Support for Flood Forecasting in France (Hydro Eaufrance, 2023).Flow velocity (five replicates, m s -1 ) was measured in the surface water during MP sampling with a portable flowmeter (Flo-mate Model 2000, Marsh-McBirney Inc.). Measurements were not always possible or reliable due to challenging conditions, especially low water flow close to the shore, and the limitation of the instruments' accuracy (+/-2% plus zero stability [1.5m s -1 ]).Daily precipitation data were obtained from Prevision-Meteo (2023) for three weather stations for the months of the sampling campaigns. Data from station Paris-Montsouris, located in central Paris, were used for sampling sites M1, S2, S3, S4, and S5. Precipitation data from Paris Melun-Villaroche and Evreux-Fauville were related to sampling sites S1 and S6, respectively.
The acquired data included locations and daily discharge volumes for five selected WWTP effluent locations and twelve of 38 CSO outfall locations, each holding >1% of discharge and together presenting 91% of the CSO volumes discharged during the monitoring period (Figure 1 (B) and (C)). Data were provided by SIAAP. The CSO outfall sites Clichy and La Briche are located downstream of sampling site S3, holding 31% and 25%, respectively.Four large WWTPs are located along the Seine in the Paris urban area. Notably, the WWTP Paris Seine-Amont (SAM) is located a few kilometers before sampling site S2, while the WWTP Seine-Centre (SEC) is upstream of site S4. WWTPs Seine-Aval (SAV) and Seine Grésillons (SEG) are between S4 and S5. WWTP Marne Aval (MAV) is in the Marne River and related to sampling site M1.
We used the free software for statistical computing R (version 4.3.0) to conduct the data analyses (R Core Team, 2021). A Non-parametric Spearman rank test was applied to assess correlations between variables. Replicates of physical water parameters were averaged. For MP summary (dataset) MP (mass) concentrations and fluxes were reported as a sum of all individual particles per sample. MP polymer type proportions and sizes per campaign were weighted by sample size.
MP data exploration followed the protocol outlined by (Zuur et al., 2010). Some particles with major dimension above 300µm (6.2%) went through the filter during sampling. For comparability, MP particles from 25-300µm were analyzed. The size limits were chosen to focus on smaller MP with comparability to other studies (Dris et al., 2024).MP numeric (further on referred to as MP concentration) and mass concentrations (Equation (Eq.) 1, 2) were calculated as the number of observations (N) or particle mass divided by the sampling volume (VS) of the respective sample and converted into number of particles m -3 and µgL -1 . The concentrations were estimated for different groups, e.g., per campaign and sampling site, and polymer type.
-□□ ] = □□ [□□□□□□□□□□□□□□□□□□] □□ □□ [□□ □□ ](Eq. 1)□□□□ □□□□□□□□ □□□□□□□□□□□□□□□□□□□□□□□□□□ [µ□□ □□ -□□ ] = □□□□□□□□ □□ □□ [□□](Eq. 2)The MP (mass) flux (Eq. 3, 4) was calculated as MP (mass) concentration multiplied by the river discharge (Q) per sampling event as particles s -1 or mg s -1 .□□□□ □□□□□□□□ [□□□□□□□□□□□□□□□□□□ □□ -□□ ] = □□□□ □□□□□□□□□□□□□□□□□□□□□□□□□□ [□□□□□□□□□□□□□□□□□□ □□ -□□ ] * □□ [□□ □□ □□ -□□ ] (Eq. 3)□□□□ □□□□□□□□ □□□□□□□□ [□□□□□□ -□□ ] = □□□□ □□□□□□□□ □□□□□□□□□□□□□□□□□□□□□□□□□□ [□□□□ □□ -□□ ] * □□ [□□ □□ □□ -□□ ] (Eq. 4)
For the one-year monitoring period (with sampling durations of about two weeks per campaign) a water balance (SI 5) of the Seine River discharge was conducted to quantify the hydrodynamic conditions and to study MP transport and fate. Balances were generated for the hydrological stations in the Seine. Discharge data of the Seine and tributaries were considered. The balances were calculated as the differences between the inflows and outflows. The downstream discharge Qx (Eq. 5) is the sum of the previous upstream discharge (Q0) and the incoming tributary discharges (Qi) between Q0 and Qx.Acknowledging that ground water flow into the river and evaporation are to be assumed negligible with respect to the discharge, the difference (Eq. 6) should be close to 0m 3 s -1 .□□ □□ = □□ □□ + ∑ □□ □□ (Eq. 5)□□□□□□□□□□□□□□□□□□□□ = □□ □□ -□□ □□ -∑ □□ □□ ≝ □□ (Eq. 6)4 Description of the data and initial analyses
The dataset contains comprehensive data of individual MP particles (total N = 5,922) per sampling site and sampling day, detailing particle characteristics (mass, polymer type, minor, major, and ferret dimension). For number and mass, MP concentrations and MP fluxes were estimated for each campaign per sampling date, and sampling site (Figure 2 (B) and (C), dataset MP summary). The median MP concentration was ~600 particles m -3 and MP flux 165×10 3 particles s -1 . MP mass concentrations and mass fluxes ranged between 2 and 960mg m -3 , and 57 and 500×10 3 mg s -1 , respectively. The annual estimated MP concentration and MP mass flux in the Seine are 5.19 x 10 12 particles yr -1 and 816 t yr -1 , respectively.MP concentrations varied across sampling sites and campaigns between 14 particles m -3 (S1) and 4,700 particles m -3 (S3). MP fluxes ranged from 300 particles s -1 (S1) to 2.67×10 6 particles s -1 (S6). For each campaign, the lowest MP concentrations were always found at the upstream sampling site S1. The MP fluxes for S1 (ranging from 300 to 6,000 particles s-1) are smaller than the MP flux values of sampling sites S2 -S6 (ranging between 13×10 3 and 2.76×10 6 particles s -1 ), with a median of 165×10 3 particles s -1 . MP concentration correlates moderately (ρ=0.65, p<0.01) to river discharge, MP (mass) flux ( ρ=0.89, p<0.01; ρ=0.85, p<0.01) correlate stronger.The MP concentration in the Seine are comparable to higher concentrations reported in European rivers' surface water (Gao et al., 2023).Sixteen polymer types were identified including acrylics, epoxy and rubber (SI 5), and the most abundant polymer types across all Seine samples were PP (concentration: 67%, mass concentration: 48%), PE (19%, 38%), and PS (10%, 10%), reflecting similar findings in European rivers (Gao et al., 2023;Scherer et al., 2020). The polymer type distribution is relatively consistent across the four campaigns (Figure 2 D) and similar across sampling sites with deviations observed for some individual samples (SI 5). The median MP particle minor and major dimensions overall were 53µm and 96µm (SI 6). Smaller MPs consistently exhibited higher MP concentrations and fluxes across all samples. PE particles are found to be larger than PS and PP (PP exhibits the smallest sizes overall).
Suspended sediment concentration (SSC) ranged from 0.5mg L -1 (S1) to 51.7mg L -1 (S3). Turbidity values ranged from 2.6 to 23.7NTU, pH was between 7.5 and 8.3, and water temperatures ranged from 7 to 26°C. Spearman correlation test resulted in turbidity and SSC, as expected due to collinearity, being correlated (ρ=0.77, p<0.05). Turbidity correlated with MP concentration (ρ=-0.50, p<0.05) and flux (ρ=0.64, p<0.05).
The flow regimes during the monitoring did not conform to the habitual low flows during summer and high flows during winter. High precipitation in July 2021 in Western Europe influenced the summer flow in the Seine. On the contrary, fall has been dry leading to low flows. We captured different river discharge conditions ranging from 23 to 719m 3 s -1 (Figure 2 A). River discharges on sampling days across all Seine sampling sites (S1-S6) were higher during the July 2021 and February 2022 campaigns (range, median: 52-719, 364m 3 s -1 ; and 70-628, 328m 3 s -1 , respectively), but lower in November 2021 (48-327, 212m 3 s -1 ), and lowest during July 2022 (23-138, 92m 3 s -1 ). The dataset contains the river discharge for each relevant sampling.Water balances are important for evaluating MP flux and concentration observations. Fluctuations in river discharge and deviations in the water balances can be used to understand MP dynamics. For example, the MP concentration in the Seine River may be elevated due to tributary contribution, sewage overflow and runoff during peak discharge. Five water balance calculations with daily river discharge data were conducted (SI 7). As a result of the discharge differences, the balances show deviations around normal levels (up to ~10%). Discharge data per hydrostation are included in the dataset (Waterbalance).We collected precipitation data concerning the monitoring period (from two weeks before the start of a sampling campaign until the end) to later assess its influence on the river flow dynamics and MP concentration. Precipitation can lead to increased river discharge, turbulence, CSOs, and surface runoff, potentially transporting MPs into rivers.
Between July 1, 2021, and August 1, 2022, WWTP effluent daily discharge volumes (dataset sheet WWTP discharges). ranged from around 150×10 3 -1×10 6 m 3 day -1 (SAM), 1×10 6 -3.4×10 6 m 3 day -1 (SAV), up to 500×10 3 m 3 day -1 (SEC), 30×10 3 -325×10 3 m 3 day -1 (SEG), and 14×10 3 -100×10 3 m 3 day - 1 (MAV).Up to 47 CSOs happened during the one-year monitoring period. Several CSOs were recorded just before and during the sampling campaign in July 2021, and one CSO event before the campaign in November 2021 for CSO outfall sites La Briche and Clichy (dataset CSO discharges). The maximum daily discharge volumes during the monitoring periods occurred on July 13, 2021, and were 945×10 3 m 3 (Clichy) and 963×10 3 m 3 (La Briche). Other CSO outfall sites contribute significantly to the annual CSO discharge.
This dataset presents comprehensive data of MP contamination in the Seine River and various environmental and hydrological conditions. Preliminary results show that MP levels are locally highly variable which may be attributed to hydrological conditions. It facilitates the calculation of MP contamination metrics, analysis of relationships with environmental and hydrological variables, and the assessment of the environmental impact. The knowledge derived from analyses offers insights for research, modelling, environmental education, and policy of MP pollution in rivers. The dataset can be augmented with future data.


Keywords: Microplastic Fluxes, water balance, River catchment, Urban plastic pollution, Sewer discharges

Received: 15 Feb 2024; Accepted: 07 May 2024.

Copyright: © 2024 Stratmann, Dris, Gasperi, Buschman, Markus, Guerin, Vethaak and Tassin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Mx. Cleo N. Stratmann, LEESU, Ecole des Ponts ParisTech, Université Paris Est Créteil, Marne la Vallée, France
Mx. Rachid Dris, LEESU, Ecole des Ponts ParisTech, Université Paris Est Créteil, Marne la Vallée, France