Pilot monitoring drijvend zwerfafval en macroplastics in rivieren: jaarmeting 2021

Emmerik, Tim van; Lange, Sjoukje de

doi:10.18174/566475

Cited by 5 publications

(7 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We therefore recommend using the item‐mass statistics of the specific categories for future estimates. Openly available databases (van Emmerik & de Lange, 2022) can be used for more accurate estimates in case limited resources are available for detailed data collection.…”

Section: Resultsmentioning

confidence: 99%

“…Note that the range of values refer to the estimates based on the mean (first value) and median (second value) item flux. The mass statistics were taken from (van Emmerik & de Lange, 2022).…”

Section: Methodsmentioning

confidence: 99%

“…In total, this yielded eight values of total yearly mass transport for each location. For the mass statistics we used a detailed data set of over 16,000 sampled and analyzed macrolitter items, collected from riverbanks at the same time as the visual counting measurements (van Emmerik & de Lange, 2022). We use this data set to calculate the mean and median mass per item for (a) all items, (b) all plastic and non‐plastic items, and (c) all 16 item categories.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Hydrology as a Driver of Floating River Plastic Transport

et al. 2022

View full text Add to dashboard Cite

Plastic pollution in aquatic ecosystems is a growing threat to ecosystem health and human livelihood. Recent studies show that the majority of environmental plastics accumulate within river systems for years, decades and potentially even longer. Long‐term and system‐scale observations are key to improve the understanding of transport and retention dynamics, to identify sources and sinks, and to assess potential risks. The goal of this study was to quantify and explain the variation in floating plastic transport in the Rhine‐Meuse delta, using a novel 1‐year observational data set. We found a strong positive correlations between floating plastic transport and discharge. During peak discharge events, plastic transport was found up to six times higher than under normal conditions. Plastic transport varied up to a factor four along the Rhine and Meuse rivers, which is hypothesized to be related to the complex river network, locations of urban areas, and tidal dynamics. Altogether, our findings demonstrate the important role of hydrology as driving force of plastic transport dynamics. Our study emphasizes the need for exploring other factors that may explain the spatiotemporal variation in floating plastic transport. The world's most polluted rivers are connected to the ocean through complex deltas. Providing reliable observations and data‐driven insights in the transport and dynamics are key to optimize plastic pollution prevention and reduction strategies. With our paper we aim to contribute to both advancing the fundamental understanding of plastic transport dynamics, and the establishment of long‐term and harmonized data collection at the river basin scale.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Hydrology as a Driver of Floating River Plastic Transport

et al. 2022

View full text Add to dashboard Cite

show abstract

“…To compute the total emission fluxes in the IJ river, the F outlet values of all six outlets were summed and extrapolated to a time period of one year. In addition, an estimate of the floating litter mass transport M outlet was made using the F outlet flux, and the mean/median mass statistics of a detailed dataset containing over 16,000 weighed macrolitter items collected from Dutch riverbanks [43]. The following equation was used to calculate the litter mass transport per outlet:…”

Section: Study Areamentioning

confidence: 99%

Urban water systems as entry points for river plastic pollution

Tasseron

Begemann

Joosse

et al. 2022

Preprint

View full text Add to dashboard Cite

Accumulation of plastic in aquatic environments negatively impacts ecosystems and human livelihood. Urban areas are assumed to the main source of plastic pollution in these environments, because of high anthropogenic activity. Yet, the drivers of plastic emissions, abundance and retention within these systems and subsequent transport to river systems is poorly understood. In this study, we demonstrate that urban water systems function as major contributors to river plastic pollution, and explore the potential driving factors contributing to the transport dynamics. Monthly visual counting of floating litter at six outlets of the Amsterdam water system results in an estimated 2.7 million items to enter the closely connected IJ river annually, ranking it among the most polluting systems measured in the Netherlands and Europe. Subsequent analyses of environmental drivers (including rainfall, sunlight, wind speed and tidal regimes) and litter flux showed no strong correlations (r = -0.19 - 0.16), implying additional investigation of potential drivers is required. High frequency observations at various locations within the urban water system and advanced monitoring using novel technologies could be explored to harmonize and automate monitoring. Once litter type and abundance are well-defined with a clear origin, communication of the results with local communities and stakeholders could help co-develop solutions and stimulate behavioural change geared to reduce plastic pollution in urban environments.

show abstract

“…For the hyperspectral imaging in a natural aquatic environment, plastic litter items harvested in a 100 meter by 5 meter area from the Meuse riverbank near Griendpark, Maastricht (50°51'15.5"N 5°41'50.0"E) were used. These items were collected as part of a floating macroplastic monitoring programme "Pilot monitoring floating litter and macroplastics in the Dutch Rhine and Meuse rivers" [26]. In total, 26 plastic items were arranged in a wooden frame (Fig.…”

Section: Riverbank-harvested Plastic Samplesmentioning

confidence: 99%

Towards Robust River Plastic Detection: Combining Lab and Field-based Hyperspectral Imagery

Tasseron¹,

Schreyers²,

Peller³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

Plastic pollution in aquatic ecosystems has increased dramatically in the last five decades, with strong impacts on human and aquatic life. Recent studies endorse the need for innovative approaches to monitor the presence, abundance, and types of plastic in these ecosystems. One approach gaining rapid traction is the use of multi- and hyperspectral cameras. However, most experiments using this approach have been conducted in controlled environments, making findings challenging to apply in natural environments. We present a method linking lab- and field-based identification of macroplastics using hyperspectral data (1150-1675 nm). Experiments using riverbank-harvested macroplastics were set up in (1) a laboratory environment, and (2) on the banks of the Rhine River. Representative pixel selections of eleven lab-based images (n = 786,264 pixels) and two field-based images (n = 40,289 pixels) were used to analyse the differences between these two environments. Next, classifier algorithms such as support vector machines (SVM), spectral angle mappers (SAM) and spectral information divergence (SID) were applied, because of their robustness to varying light conditions and high accuracies in mapping spectral similarities. Our results showed that SAM classifiers are most robust in separating plastic debris from natural or anthropogenic background elements. By applying lab-based data for plastic detection in field-based images, user accuracies for plastics to up to 93.6\% (n = 8,370 plastic pixels) were attained. This study provides key fundamental insights in linking lab-based data to plastic detection in the field. With this paper we aim to contribute to the development of future spectral missions to detect and monitor plastic pollution in aquatic ecosystems.

show abstract

Pilot monitoring drijvend zwerfafval en macroplastics in rivieren: jaarmeting 2021

Abstract: Versie: maart 2022 Dit rapport is geschreven in opdracht van Rijkswaterstaat WVL. Dit werk valt onder een Creative Commons Naamsvermelding 4.0 Internationaal-licentie (CC BY 4.0).

Cited by 5 publications

References 7 publications

Hydrology as a Driver of Floating River Plastic Transport

Hydrology as a Driver of Floating River Plastic Transport

Urban water systems as entry points for river plastic pollution

Towards Robust River Plastic Detection: Combining Lab and Field-based Hyperspectral Imagery

Contact Info

Product

Resources

About