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Papers
61,005 resultsShowing papers similar to Supplying demands of aquatic ecosystems using bivariate optimization of water depletion strategies under uncertainty
ClearOptimal Allocation of Water Resources Considering Virtual Water Trade: A Case Study of the Yellow River
This study optimizes water resource allocation across the Yellow River basin in China by integrating both physical and virtual water flows. The study is focused on water resource management and is not directly related to microplastic research.
Towards nutrient neutrality: A review of agricultural runoff mitigation strategies and the development of a decision-making framework.
This paper is not about microplastics; it reviews agricultural runoff mitigation strategies to reduce nutrient pollution in waterways.
Water Pollution and Agriculture: Multi-pollutant Perspectives
This review examines agriculture as a multi-pollutant source of water contamination, identifying large spatial and temporal variation in nutrient, pesticide, plastic, and pathogen loads and arguing that agricultural water management strategies must account for these simultaneous pollutant interactions.
Modelling to inform the conservation and management of aquatic ecosystems: A synthesis of five case studies
Not relevant to microplastics — this paper presents five modeling case studies for managing aquatic ecosystems under threats including invasive species, over-exploitation, and climate change; microplastics are briefly mentioned as one of many stressors but are not the paper's focus.
Ten years of MARINA modeling: Multi-pollutant hotspots and their sources under global change
A decade of MARINA water quality modeling identified multi-pollutant hotspots in rivers, lakes, and coastal waters under historical and projected future global change scenarios, highlighting nutrient pollution and microplastics as co-occurring stressors in heavily impacted watersheds.
Uneven Distribution of Microplastic Pollution in Paddy Fields Driven by Irrigation Hydrodynamics
Microplastic distribution in paddy fields was found to be uneven, with accumulation patterns influenced by irrigation, tillage, and proximity to field edges. The study maps how common rice cultivation practices drive heterogeneous microplastic distribution in one of the world's most important cropping systems.
Integrating alternate wetting and drying irrigation with duckweed for potential microplastic mitigation in rice ecosystems
Researchers investigated whether alternate wetting and drying irrigation combined with duckweed cultivation could mitigate microplastic contamination in rice ecosystems, finding that duckweed floating on paddy water captures microplastics which can then be removed through regular harvesting.
Scenarios for future microplastic pollution reduction: an integrated modeling approach for over 10,000 rivers
Researchers used the MARINA-Plastics model to simulate microplastic inputs from sewage and open defecation into over 10,000 rivers globally from 2010 to 2100 under multiple SDG-aligned scenarios, finding that combined improvements in sewage treatment and reduced per capita plastic consumption could substantially reduce river pollution, while Africa's contribution is projected to surpass Europe's in the future.
Water pollution from food production: lessons for optimistic and optimal solutions
Researchers proposed a multi-pollutant framework for assessing water pollution from food production, drawing lessons from how air quality science handles multiple contaminants simultaneously. The study argues that future water quality assessments should better integrate economic and social goals alongside environmental targets, using participatory approaches to develop practical and politically feasible solutions.
Combining the multivariate statistics and dual stable isotopes methods for nitrogen source identification in coastal rivers of Hangzhou Bay, China
Researchers combined dual stable isotope analysis with statistical modeling to trace nitrogen pollution sources in two coastal rivers flowing into Hangzhou Bay, finding that soil runoff and domestic wastewater together contributed roughly two-thirds of total nitrogen, with aquaculture tailwater as the second-largest source.
Future coastal water pollution under global change: multi-pollutant modeling
Researchers describe a global multi-pollutant modeling framework for assessing future coastal water pollution from nutrients, plastics, and chemicals under climate change and urbanization scenarios, arguing that managing multiple pollutants together is essential for achieving clean coastal water goals.
Traceability of River Water Pollution Based on MFO and M-H Algorithms
This paper is not about microplastics. It describes a mathematical model for tracing the source of water pollution incidents using optimization algorithms. While water pollution tracing technology could theoretically be applied to tracking microplastic contamination sources, this study focuses on general pollutant migration modeling with no specific connection to microplastics or their health effects.
Future Scenarios for River Exports of Multiple Pollutants by Sources and Sub‐Basins Worldwide: Rising Pollution for the Indian Ocean
Global modeling projected that under an economy-driven scenario, river exports of nutrients and microplastics would double by 2100, with the Indian Ocean facing the largest increases, while a sustainability-driven scenario could achieve up to 83% reductions.
Assessment of sustainable drainage strategies in urban water systems using urban water metabolism and multi-criteria decision analyses
This study simulated the performance of seven different urban drainage strategies — from conventional to sustainable systems — using urban water metabolism and multicriteria decision analysis. Sustainable drainage systems are relevant to microplastic management because they can reduce the volume of stormwater runoff that carries microplastics from roads and urban surfaces into waterways.
Domestic waste management strategies to reduce future river export of macro- and microplastics to the coastal waters of Africa
Researchers applied the MARINA-Plastics model to African river systems to identify effective domestic waste management strategies, finding that improved waste collection and treatment could substantially reduce river export of macro- and microplastics to coastal waters under urbanization and climate change pressures.
The role of water management and its effect on microplastic transport and fate
This study examined how water management decisions, such as dam operations and irrigation withdrawals, influence microplastic concentrations and transport in river systems. Flow regulation was found to alter how microplastics accumulate and flush through river networks.
Global multi-pollutant modelling of water quality: scientific challenges and future directions
Researchers argue that tackling global water pollution requires modeling multiple contaminants — microplastics, nutrients, chemicals, and pathogens — simultaneously rather than studying each in isolation. They identify pollution hotspots across Europe, North America, and South Asia where rivers carry dangerous combinations of these pollutants, and call for models that can directly inform policy decisions.
Combined Effects of Treatment and Sewer Connections to Reduce Future Microplastic Emissions in Rivers
Researchers applied the global water quality model MARINA-Plastics across 10,226 sub-basins worldwide to assess how different microplastic emission reduction scenarios would affect river inputs over the period 2010-2100. They found that combining improved wastewater treatment with expanded sewer connections produced the greatest reductions, highlighting the need for integrated infrastructure and treatment strategies.
Methodology for the study of the traceability of runoff water feeding reservoirs
Not relevant to microplastics — this paper presents a GIS-based methodology for tracing the agricultural plots whose rainwater runoff feeds a reservoir, extending the D8 drainage algorithm with land-use and rainfall data to assess agrochemical contamination pathways.
Prediction of Microplastic Emissions in River Basins Based on Mathematical Models
Researchers developed a mathematical model integrating multivariate linear regression and stepwise regression to predict microplastic emissions in the Guangzhou section of the Pearl River Basin, using historical abundance data to forecast 2025 annual average concentrations in this urban river system.
Strategies to Reduce Risk and Mitigate Impacts of Disaster: Increasing Water Quality Resilience from Microplastics in the Water Supply System
Researchers propose a disaster management framework for addressing microplastic contamination in water supply systems, arguing that this type of pollution meets the criteria for a disaster. They developed a mathematical model to assess the risks microplastics pose to water infrastructure, public health, and economic stability. The study calls for integrating microplastic mitigation strategies into existing water quality resilience planning.
Interconnected impacts of water resource management and climate change on microplastic pollution and riverine biocoenosis: A review by freshwater ecologists
Researchers reviewed how river hydrology, water resource management, and climate change interact to influence microplastic pollution in freshwater ecosystems. They found that floods can flush microplastics from catchments, while reservoirs act as both sinks and sources, and extreme weather events driven by climate change tend to concentrate microplastics and threaten aquatic organisms. The study highlights a critical gap in research that jointly addresses these interconnected factors and calls for integrated policy approaches.
Evolving environmental awareness and shifts in management priorities: a socioeconomic lens on the min river basin, China
Not relevant to microplastics — this paper uses socioeconomic analysis and machine learning to study shifting environmental management priorities in China's Min River basin, focusing on water quality and land use.
Hitting the sweet spot of complexity: Reasons why the development of new custom-tailored models is still warranted and should be encouraged in aquatic sciences
This paper discusses why process-based computer models of freshwater ecosystems need to strike a balance between complexity and usability. Such models are increasingly used to study how pollutants like microplastics move and accumulate in aquatic environments.