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Papers
61,005 resultsShowing papers similar to Simulation of nutrient management and hydroclimatic effects on coastal water quality and ecological status—The Baltic Himmerfjärden Bay case
ClearDynamics of oxygen sources and sinks in the Baltic Sea under different nutrient inputs
Not a microplastics paper — this oceanographic modeling study simulates how the Baltic Sea's oxygen and hydrogen sulfide levels would respond under different nutrient reduction scenarios, finding that even full compliance with the Baltic Sea Action Plan would not quickly reverse the widespread oxygen depletion caused by decades of nutrient pollution.
Good eutrophication status is a challenging goal for coastal waters
Not relevant to microplastics — this study models nutrient pollution and eutrophication in the Baltic Sea's Archipelago Sea, finding that meeting current international nutrient reduction targets can improve outer coastal water quality but is insufficient for inner coastal zones, without addressing microplastic pollution.
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.
Preliminary approach to modelling eutrophication – anthropopressure impact on sea water quality
This chapter reviews methods for modeling eutrophication — the process by which excess nutrients cause algal blooms and oxygen depletion in water — with a focus on the Baltic Sea. Eutrophication interacts with microplastic pollution because nutrient-rich conditions promote the biofilm communities that colonize plastic particles.
Data-Driven Models’ Integration for Evaluating Coastal Eutrophication: A Case Study for Cyprus
Researchers developed and compared two artificial neural network models trained on in situ monitoring data to predict coastal eutrophication in Cypriot waters, demonstrating a data-driven approach to environmental monitoring that supports the aquaculture industry's regulatory compliance requirements.
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.
First Steps towards a near Real-Time Modelling System of Vibrio vulnificus in the Baltic Sea
Researchers developed initial steps toward a near real-time modeling system for Vibrio vulnificus in the Baltic Sea, testing hydrodynamic and biogeochemical model data as inputs to predict pathogen concentrations along the German coast.
Challenges in coastal ecosystem Sustainability: Drivers of water quality degradation and their ecological impact
This review examines multiple drivers of water quality degradation in coastal ecosystems—including nutrient pollution, sedimentation, microplastics, and climate change—and discusses management strategies for improving coastal ecosystem sustainability.
Data-Driven Models for Evaluating Coastal Eutrophication: A Case Study for Cyprus
Researchers developed data-driven models to evaluate coastal eutrophication using Cyprus as a case study, examining how monitoring data can be used to assess hypoxia and harmful cyanotoxin production risks in island coastal waters. The models demonstrated the utility of machine learning approaches for eutrophication assessment where direct measurement programmes are limited.
Deriving pre-eutrophic conditions from an ensemble model approach for the North-West European seas
An eight-model ensemble approach simulated pre-eutrophic (circa 1900) conditions for North-West European seas, finding distinctly lower nutrient concentrations and altered nitrogen-to-phosphorus ratios in coastal areas compared to current conditions, providing a science-based reference for eutrophication management.
Economic and Ecological Impacts of Climate Change on Coastal Fisheries: A Global Analysis of Vulnerability and Adaptive Management Strategies
Researchers conducted a global analysis of how climate change compounds existing threats to coastal fisheries, including pollution from microplastics and other anthropogenic stressors. The study evaluated vulnerability across regions and assessed adaptive management strategies. The findings suggest that integrated approaches addressing both climate and pollution pressures are needed to sustain coastal fisheries.
System Dynamics Modeling for Effective Strategies in Water Pollution Control: Insights and Applications
Researchers applied system dynamics modeling to simulate how different waste disposal scenarios affect water pollution, particularly from dumping waste into the sea. The approach uses feedback loops and cause-and-effect relationships to predict long-term environmental and health impacts. The study suggests that this modeling technique can help policymakers develop more effective strategies for managing marine waste and protecting water quality.
Scientific, societal and pedagogical approaches to tackle the impact of climate change on marine pollution
Researchers combined ocean elevation data, climate models, and computer simulations to show that climate change could alter the concentration and flow of marine pollution across European seas, identifying rivers near cities, coastal population growth, shipping lanes, and industrial fishing as the main sources of ocean contamination.
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.
Urban Microplastics Emissions: Effectiveness of Retention Measures and Consequences for the Baltic Sea
Researchers estimated that 6.7 x 10^13 microplastic particles enter the Baltic Sea annually from urban sewage pathways, with stormwater runoff accounting for 62% of emissions, and modeled scenarios showing that improved retention measures in wastewater infrastructure could substantially reduce these inputs.
Modeling drift and fate of microplastics in the Baltic Sea
Researchers developed a hydrodynamic model to track the drift and accumulation of microplastics in the Baltic Sea, linking coastal emission sources to offshore accumulation zones and identifying key oceanographic processes that govern the fate of land-derived plastic pollution.
Mapping microplastic pathways and accumulation zones in the Gulf of Finland, Baltic Sea – insights from modeling
A hydrodynamic-particle tracking model of the Gulf of Finland found that rivers contribute 76% of microplastic inputs while wastewater treatment plants account for 24%, with most plastics accumulating within the gulf rather than drifting to the broader Baltic Sea.
Monitoring, modeling, and forecasting long-term changes in coastal seawater quality due to climate change
This study used an 8-year dataset from a coastal offshore area to model water quality changes over the next 80 years under climate change scenarios. The results predict that rising CO2-related ocean chemistry changes will progressively displace trace elements important for marine life, highlighting compound risks from climate change and chemical pollution in coastal waters.
Overview of the (Smart) Stormwater Management around the Baltic Sea
Researchers reviewed stormwater management practices around the Baltic Sea region, focusing on quality monitoring and pollution control. The study found that current management practices underestimate stormwater's environmental impact, including pollutants like microplastics, and recommends digitalization and smart monitoring systems to improve both stormwater quality and quantity management while reducing harm to aquatic ecosystems.
Hydrological modelling: Insights into hydrological signals and contaminant transport
Researchers modeled how future climate-driven changes in hydrological extremes — including floods and droughts — affect contaminant transport in a heavily polluted Scottish catchment, finding that traditional models calibrated on historical data perform poorly when projecting under novel climatic conditions.
Assessing the effectiveness of management measures in the Ria Formosa coastal lagoon, Portugal
Researchers assessed the effectiveness of water quality management measures in the Ria Formosa coastal lagoon of Portugal, evaluating whether interventions implemented under EU Water Framework Directive requirements improved the ecological status of this protected lagoon that supports aquaculture and coastal tourism.
Monitoring, Modeling and Management of Water Quality
This special issue introduction summarizes a collection of research papers covering water quality monitoring, computer modeling of water systems, and management strategies. The articles address topics ranging from cyanobacteria detection to large-scale water quality management.
Model uncertainties of a storm and their influence on microplastics / sediment transport in the Baltic Sea
Researchers used ocean circulation modeling to simulate how microplastics and sediment are transported in the Baltic Sea during storm events, identifying uncertainty in the models as a key challenge. Despite this, the approach helps predict where microplastics accumulate on the seafloor, which is otherwise expensive to measure directly.
Coastal Wetland Restoration Strategies Based on Ecosystem Service Changes: A Case Study of the South Bank of Hangzhou Bay
Researchers analyzed coastal wetland restoration strategies based on ecosystem service changes along Hangzhou Bay's south bank, identifying priority restoration areas where interventions would maximize ecological benefits including pollution filtration and biodiversity support.