Plastic pollution on Moroccan beaches: Toward baselines for large-scale assessment

Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 201, P. 116288 - 116288

Published: March 26, 2024

Language: Английский

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Efficient plastic detection in coastal areas with selected spectral bands

Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 207, P. 116914 - 116914

Published: Sept. 7, 2024

Language: Английский

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Preliminary assessment of waste accumulation along riverbanks in Italy

Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Language: Английский

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Remote Sensing for Monitoring Macroplastics in Rivers: A Review

Wiley Interdisciplinary Reviews Water, Journal Year: 2025, Volume and Issue: 12(2)

Published: March 1, 2025

ABSTRACT Given the exponential rise in global plastic production and its significant ecological socio‐economic impacts, monitoring macroplastics rivers has become a central focus of water management efforts. However, standardized methodologies are lagging behind rate waste currently entering aquatic systems on scale. This translates into shortage spatially temporally refined data macroplastic pollution circulating inland waters. Recent advancements remote sensing techniques, primarily satellites, UASs, fixed handheld cameras combined with crowd‐sourced automated detection using machine deep learning, offer promising opportunities for versatile solutions. Thus, this paper reviews state‐of‐the‐art approaches emerging methods identification to provide researchers comprehensive inventory techniques encourage scientific community harmonize define standard protocols. According our investigation, addressing challenges sensing‐based river mandates further efforts enhance integrate multiple platforms an emphasis long‐term monitoring.

Language: Английский

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The modelling of river water contamination by tailings mudflows: The case of phosphorus in the Paraopeba River basin

Case Studies in Chemical and Environmental Engineering, Journal Year: 2024, Volume and Issue: 9, P. 100701 - 100701

Published: March 26, 2024

The Soil and Water Assessment Tool (SWAT) was used to assess total phosphorus concentrations (TOT-P) fluxes (TOT_P) in the Paraopeba River basin, located state of Minas Gerais, Brazil, following collapse tailings dam B1 Brumadinho. model calibrated validated for periods before (2000–2018) after (2019–2021) Brumadinho 25 January 2019, with great accuracy measured by various performance indicators (e.g., R2 ≈ 0.8). flow phosphorus-containing sludge from iron-ore explored Córrego do Feijão Mine Vale, SA, released break has impacted water through large increments TOT-P near site (60–100%, pre-rupture values varying between 0.06 0.1 mg/L). But other major sources were flagged, namely urban Betim region that raised 0.9 mg/L periodically during entire simulation period. study also revealed controls concentration coverage forests lowered down at 0.5–0.8 μg/L.km2. lowering rate was, however, dependent on occupation argisols. As per results, larger percentage argisols a will be surrounding courses, meaning are prone erosion leaching. A cluster analysis input terrain slope, soil type) output runoff) variables SWAT allowed relating surface- TOT_P underground-dominant hydrological processes, respectively runoff groundwater flow, linking them specific environmental such as steep slopes first case latosols smooth landscapes second case. management implications retrieved this holistic assessment discussed. Finally, checked against Brazilian standards. In regard, compared limits established Resolution 454/2012 National Environmental Council – CONAMA. Some sub-basins exhibited levels above legal threshold, contamination viewed systemic requiring immediate action implementation sewage treatment best practices agriculture), well monitoring spatial temporal frames. existence extreme rainfall events basin main cause inaccuracies, overestimated TOT-P.

Language: Английский

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Fuzzy C-Means Algorithm Modification Based on Distance Measurement for River Water Quality

Kinetik Game Technology Information System Computer Network Computing Electronics and Control, Journal Year: 2024, Volume and Issue: unknown

Published: July 19, 2024

River water quality could be determined by understanding the capacity of pollutants in a body. Fuzzy C-Means (FCM) is one fuzzy clustering methods for determining river measuring parameters, that is, dissolved oxygen (DO) and total solids (TDS). The FCM algorithm an effective grouping data but often produces local inconsistent optimal solutions due to partition matrix's random initialisation process. Therefore, this study proposes modify precise matrix process using several distance concepts. purpose proposed modification get more consistent results minimise stop iterations. validation uses algorithm, three namely Partition Coefficient Index (PCI), Entropy (PEI) Silhouette Score (SS). experiments were conducted with replications various showed number iterations stopped has different values PCI, PEI, SS, objective functions each trial. On contrary, SS values, stops fewer modified initialising can used C-means algorithm.

Language: Английский

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Mismanaged plastic waste as a predictor for river plastic pollution

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175463 - 175463

Published: Aug. 15, 2024

Hydrometeorological processes are often assumed to be key drivers of plastic transport. However, the predominant focus on these factors overlooks impact anthropogenic factors, such as mismanaged waste (MPW) transport variability. Here, we investigate roles both and hydrometeorological pollution in Odaw catchment, Ghana. Data macroplastic density were collected at ten locations between December 2021 2022. We tested for differences wet dry seasons applied a multiple regression analysis examine separate combined variables (rainfall, discharge, windspeed) Additionally, analyzed spatial correlation transport/density with MPW population density. collection involved visual counting floating macroplastics 10 river litter 9 riverbanks land locations. Rainfall data was sourced from TAHMO (Trans-African Observatory), discharge measured during field campaigns, windspeed global climate provider. used globally modelled estimates represent factors. Contrary previous studies, found no seasonal only weak correlations observed strong pollution. hypothesize that, influence depend relative Our research highlights limited role hydrometeorology, showing significant monitored variability catchment. This insight is essential future it importance holistically investigating explaining retention dynamics. developing interventions that effectively address catchments.

Language: Английский

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Wasted shores: Using drones to monitor the spatio-temporal evolution of debris accumulation hotspots on South Africa's Umgeni River

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 955, P. 176791 - 176791

Published: Oct. 9, 2024

Rivers are major contributors of plastic waste to the oceans. Running through northern part 1.3 million-inhabitants City Durban, South Africa, Umgeni River is estimated flush in order tens hundreds tonnes into Indian Ocean every year. The riverbanks lined with and other macro-waste accumulation zones formed due direct littering occasional deposition river debris loads. This study presents use Unmanned Aerial Vehicles (UAVs) hydro-meteorological sensors (1) identify, quantify monitor such anthropogenic hotspots; (2) investigate influence rainfall, water level a flood event on spatio-temporal evolution hotspots, evidencing debris' availability leak Ocean. one-year aerial monitoring (2021-2022) hotspots shows that extreme hydrometeorological events have an immediate but short-term effect erosion stocks riverine systems. We observe reduction mean index changes hotspot surface area after flooding were 2-5 times higher than non-flood conditions. Despite visual evidence seasonality between wet dry season, only 'natural' type showed significant change. Our findings support reported inconsistencies macro-debris hydrological factors. Although data contributes baseline for River, future ground truth sampling finer scales important fully understand transfer mapping understanding their dynamics supports policymakers planning timing mitigate environmental pollution.

Language: Английский

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Riverbank plastic distributions and how to sample them

Microplastics and Nanoplastics, Journal Year: 2024, Volume and Issue: 4(1)

Published: Nov. 1, 2024

Abstract As plastic pollution exists in aquatic ecosystems globally, monitoring its abundance and distribution has become crucial for understanding transport pathways, sources, sinks, impacts. Riverbanks are accumulation zones plastic, but the selection of methods is constrained by research goals, available resources, site-specific conditions. This diversity approaches led to disparate datasets, highlighting need standardized protocols. Here, we study spatial at riverbank scale, quantify uncertainty existing methods, provide recommendations improved based on balance between loss increase effort. We measured eight Dutch riverbanks, categorizing items using 108 item categories (River-OSPAR). For every riverbank, an area 100 25 meters was subdivided into five-by-five-meter squares, resulting individual monitored sub-areas. found exhibited high variability, with deposition patterns ranging from parallel waterline clustered, random, or uniform (Moran’s I -0.050 0.301). Individual measurements diverse sampling protocols 5-49 times less accurate than estimates derived extensive sampling, diminishing impact specific increased data collection. Lastly, our findings suggest that increasing quickly reaches returns terms accuracy. Reducing sampled 80% only increases estimating true density 20%. While essential comparability, a rigid, approach may be efficient resource-intensive flexible (step-wise) strategy adapts local By demonstrating can mitigate differences unique protocols, this promotes shift towards monitoring, ultimately accelerating global efforts combat pollution.

Language: Английский

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Preliminary Assessment of Waste Accumulation along Riverbanks in Italy

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 30, 2024

This paper presents a preliminary assessment of waste accumulation along riverbanks in Italy, aiming to provide baseline data for future monitoring and management efforts. The study surveyed 18 stations 16 rivers across different regions from north south, quantify characterise the types abundance litter present their banks. Field surveys were conducted by Legambiente citizen scientists applying standardised protocol record categorise items systematically. Results indicate widespread accumulation, with median density 457 items/100 m. A diverse range was observed, including artificial polymer materials (56%), glass/ceramics (20%), metal (11%) paper/cardboard (6%). Half belonged just four categories: glass bottles (17%), cigarette butts (14%), plastic pieces (11%), wet wipes (8%). Differences composition observed according land use (urban, agricultural, natural, urban park) area surrounding stations. Riverbanks included parks presented highest densities. They characterised high presence recreational activities (glass bottles, cigarettes, caps, pull tabs), suggesting uncivil behaviour visitors. findings this allow identification sources underscore importance science filling information gaps since no previous on Italy available.

Language: Английский

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