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61,005 resultsShowing papers similar to Extended Strahler Ordering to Distinguish Mapped River Channels From Overland Flow Pathways and Consistently Compare Digital Networks
ClearComment on egusphere-2023-939
This comment paper proposes a framework for building river network models from geographic information system data to study environmental processes in rivers. Improved river modeling tools help predict how microplastics are transported and distributed through river networks to coastal ecosystems.
Modeling the transport of microplastics along river networks
Researchers built a mathematical model to predict how microplastics travel through river networks, combining water flow dynamics with estimates of human plastic inputs. They tested the model against real-world data from three river systems worldwide and found it reliably predicted microplastic concentrations. The tool could help identify pollution hotspots and guide cleanup priorities across entire river basins.
The role of water management and its effect on microplastic transport and fate
Researchers examined how water management practices affect the transport and fate of microplastics in river networks, which serve as both conduits and sinks for plastic pollution. The study found that flow regulation and water management interventions significantly influence how far microplastics travel and where they accumulate.
On modeling the fate of microplastics along river networks
Researchers developed and applied a modeling framework to simulate the fate and transport of microplastics along river network systems, treating rivers as key conduits transferring land-based microplastic pollution to marine environments. The model accounted for particle ingestion risks to aquatic organisms and evaluated the long-term persistence and transport dynamics of microplastics across freshwater networks.
Interventions of river network structures on urban aquatic microplastic footprint from a connectivity perspective
Researchers analyzed microplastic distribution in a typical urban river network in Nanjing, China, using multiple detection methods and the Renkonen similarity index to assess how river infrastructure structures such as dams and sluices influence microplastic spatial variability and footprint from a connectivity perspective.
Interventions of river network structures on urban aquatic microplastic footprint from a connectivity perspective
Researchers analyzed how urban river network structures influence microplastic distribution in Nanjing, China, finding that river connectivity patterns significantly affect the spatial variability of microplastic footprints in urban waterways.
Prevailing impacts of river management on microplastic transport in contrasting US streams: Rethinking global microplastic flux estimations
Researchers compared microplastic transport in managed versus unmanaged US streams, finding that river management practices like channelization and damming significantly alter MP distribution patterns, suggesting global microplastic budgets need to account for river infrastructure.
A continuation-dynamic constitution analysis approach based on digital stable marker tracing and study on simulation of ecological tidal water diversion
Researchers developed a digital water-tracing method to track how diverted river water mixes and moves through a local canal network in China, quantifying each water source's contribution over time to help engineers optimize water diversion projects that improve water quality in urban waterways.
Interventions of river network structures on urban aquatic microplastic footprint from a connectivity perspective
Researchers analyzed microplastic distribution across a Nanjing, China urban river network using multiple detection methods, finding ubiquitous and abundant microplastics with distinct hotspots and heterogeneous characteristics linked to how river infrastructure structures such as weirs and gates interrupt microplastic connectivity and flow.
Predicting microplastic masses in river networks with high spatial resolution at country level
Scientists built a computer model to predict microplastic levels in every section of Switzerland's rivers and lakes for seven different plastic types. They found that the amount of microplastics in any given spot depends heavily on local features like nearby lakes, land use, and river connections, not just population density. This kind of detailed mapping helps identify pollution hotspots and assess where human exposure through drinking water might be highest.
Spatiotemporal Graph Convolutional Network for Riverine Microplastic Migration Pathway Identification and Pollution Source Tracing
Researchers developed a spatiotemporal graph convolutional network (ST-GCN) framework that integrates hydrological connectivity, flow parameters, and microplastic characteristics to simultaneously identify migration pathways and trace pollution sources in riverine ecosystems. The model outperformed conventional approaches by capturing the spatial heterogeneity and topological complexity of river systems.
Abundance, Distribution and Drivers of Microplastic Contaminant in Urban River Environments
Researchers surveyed microplastic distribution in urban river environments and identified key drivers of accumulation hotspots, finding that land use, hydrology, and infrastructure factors concentrated microplastics at predictable locations that could inform targeted management interventions.
Microplastic distribution in a meandering river bed and its sedimentary predictors
Researchers investigated microplastic distribution patterns within a meandering riverbed and identified sedimentary predictors of microplastic accumulation, advancing understanding of within-channel spatial variability that affects large-scale pollution quantification. The study found that specific geomorphological features of meandering channels are strong predictors of local microplastic hotspots in riverbed sediments.
Microplastic transport in European river networks
Researchers estimated the average annual load of microplastics transported to seas and oceans from 125 European catchments by coupling a mass balance model with a graph-theory river network model incorporating wastewater treatment plant effluents, surface runoff, and combined sewer overflows.
Controlling Factors of Microplastic Riverine Flux and Implications for Reliable Monitoring Strategy
This review examines the controlling factors that determine microplastic flux from rivers to the sea, identifying hydrology, land use, river morphology, and sampling methodology as key variables, and arguing for standardized monitoring approaches to enable reliable riverine flux estimates.
Modelling Microplastic Transport in River Systems Using the SWAT Hydrological Model
Researchers developed a novel modelling approach using the SWAT hydrological model to simulate microplastic transport through river basin systems, integrating hydrological and physical plastic properties. The model provides a tool for understanding the spatial and temporal dynamics of freshwater microplastic pollution to support mitigation planning.
Hydro-geomorphic perspectives on microplastic distribution in freshwater river systems: A critical review
This critical review examined 92 case studies on microplastic distribution in freshwater river systems and highlighted major gaps in how researchers quantify and compare pollution levels. The study found that spatiotemporal aspects and transport mechanisms linking microplastic sources and sinks are insufficiently understood. Researchers developed a new procedure for comparing microplastic measurements across water and sediment samples, offering a path toward more standardized pollution assessment.
Assessment of Different Sampling, Sample Preparation and Analysis Methods Addressing Microplastic Concentration and Transport in Medium and Large Rivers Based on Research in the Danube River Basin
Monitoring microplastics in rivers is hampered by the lack of standardized methods, making it difficult to compare results across studies. This research tested three common sampling approaches on the Danube River and its tributaries, finding that each method produced meaningfully different estimates of microplastic concentrations and transport. The results underscore the urgent need for agreed-upon protocols so that data from different countries and research groups can be reliably combined to track river-to-ocean plastic pollution.
Technical note: Seamless extraction and analysis of river networks in R
Not relevant to microplastics — this is a technical note introducing rivnet, an R software package for extracting and analyzing river network data from digital elevation models, intended for hydrological and ecological modeling.
Analytical Modeling of Microplastic Transport in Rivers: Incorporating Sinking, Removal, and Multi-Phase Dynamics
Scientists developed better computer models to track how tiny plastic particles move through rivers on their way to the ocean. The new models show that many microplastics actually sink and get trapped in river sediments rather than flowing straight to the sea, which means we've been underestimating plastic pollution on river bottoms where fish and other wildlife live. This matters because it helps us better understand where microplastics accumulate in the environment and could eventually enter our food chain through seafood and drinking water.
Knowledge about Microplastic in Mediterranean Tributary River Ecosystems: Lack of Data and Research Needs on Such a Crucial Marine Pollution Source
This review surveys the limited literature on microplastic pollution in freshwater rivers feeding the Mediterranean Sea, finding major gaps in data and inconsistent methods. The authors call for standardized monitoring protocols to better understand how rivers transport microplastics from land to the ocean.
Identification of methodological biases to assess global levels of microplastic pollution in rivers
Scientists analyzed over 7,500 water samples from rivers worldwide and found that different testing methods were giving misleading results about microplastic pollution levels. After correcting for these testing flaws, they discovered some areas have much higher plastic contamination than previously thought, while others have less. This matters because microplastics in rivers can end up in our drinking water and food supply, so getting accurate pollution measurements is crucial for protecting human health.
Evaluation of riverine macro- and mesoplastic monitoring approaches.
This review evaluated and compared existing monitoring approaches for riverine macro- and mesoplastics, identifying key methodological inconsistencies that limit cross-study comparisons and calling for standardization to improve understanding of plastic transport and accumulation in freshwater river systems.
From land to sea: Hydrological source tracking of microplastics in coastal sediments
Using hydrological source tracking in Danish streams, researchers traced the inland origins of coastal sediment microplastics, finding that stream networks act as primary transport corridors and that microplastic polymer composition reflects specific upstream land uses.