Related Experiment Video
Updated: Sep 15, 2025
05:31
Sampling, Sorting, and Characterizing Microplastics in Aquatic Environments with High Suspended Sediment Loads and Large Floating Debris
Published on: July 28, 2018
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Uncertainties in Visual Observations of Floating Riverine Plastic
Paul Vriend1,2, Thijs Bosker1, Yvette Mellink3
1Institute of Environmental Sciences, Leiden University, 2300 RA Leiden, The Netherlands.
ACS ES&T Water
|July 17, 2025
Summary
Visual riverine macroplastic monitoring needs better uncertainty analysis. This study quantifies errors from observation design, improving plastic pollution reduction strategies and data reliability.
Area of Science:
- Environmental Science
- Water Quality Monitoring
- Pollution Control
Background:
- Macroplastic pollution in rivers requires accurate monitoring for effective reduction strategies.
- Visual observation from bridges is a common method for estimating riverine plastic flux.
- Current methods often lack robust uncertainty quantification, leading to unknown error margins.
Purpose of the Study:
- To quantify uncertainties in visual macroplastic monitoring in rivers.
- To identify key design elements contributing to monitoring uncertainty.
- To improve the design and effectiveness of riverine plastic monitoring protocols.
Main Methods:
- Quantified uncertainties related to cross-sectional coverage, observation time, and frequency.
- Conducted a case study in the Dutch Rhine-Meuse delta.
- Integrated uncertainty optimization into monitoring design.
Main Results:
- Demonstrated quantification of uncertainties in visual macroplastic monitoring.
- Showcased how quantified uncertainties inform monitoring design decisions.
- Highlighted the importance of the detection rate (recovery rate) in uncertainty analysis.
Conclusions:
- Quantifying uncertainties enhances the reliability of riverine macroplastic monitoring data.
- Optimizing monitoring design based on uncertainty analysis improves efficiency and effectiveness.
- Improved data quality supports better plastic pollution mitigation strategies.
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