AIMC Topic: Eutrophication

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Holistic characterization of water quality parameters to understand the ecological impacts of eutrophication.

Marine pollution bulletin May 17, 2025
The naturally oligotrophic waters of the Florida Keys, U.S.A., can be impacted by small increases in nutrients, which are reflected by increased phytoplankton productivity and over time, produce hypoxic conditions, a process called "eutrophication." ...
Chlorophyll A Florida Phytoplankton Water Quality Eutrophication Environmental Monitoring
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Optimizing Watershed Land Use to Achieve the Benefits of Lake Carbon Sinks while Maintaining Water Quality.

Environmental science & technology May 6, 2025
Greenhouse gas emissions and water quality decline are two major issues currently affecting lakes worldwide. Determining how to control both greenhouse gas emissions and water quality decline is a long-term challenge. We compiled data on the annual a...
Water Quality Carbon Sequestration Phosphorus Carbon Dioxide Lakes Carbon Eutrophication
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Keystone microbial taxa identified by deep learning reveal mechanisms of phosphorus stoichiometric homeostasis in submerged macrophytes under different hydrodynamic states.

Water research Apr 25, 2025
Phosphorus (P) pollution in aquatic ecosystems triggers eutrophication, disrupting ecological processes. Although phytoremediation using submerged macrophytes is promising, its efficacy depends on plant-microbe interactions and stoichiometric homeost...
Ecosystem Eutrophication Deep Learning Homeostasis Biodegradation, Environmental Rhizosphere Phosphorus Hydrodynamics
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Assessment of marine eutrophication: Challenges and solutions ahead.

Marine pollution bulletin Apr 18, 2025
Marine eutrophication remains a pressing global environmental challenge, demanding urgent advances in science-based assessment frameworks to mitigate its ecological and socio-economic impacts. Current methodologies, however, face critical limitations...
Environmental Monitoring Biodiversity Conservation of Natural Resources Ecosystem Eutrophication Seawater
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Exploring the nexus between coastal tourism growth and eutrophication: Challenges for environmental management.

Marine pollution bulletin Apr 16, 2025
Coastal tourism has witnessed rapid growth over the past two decades, often accompanied by increasing environmental concerns, particularly eutrophication in sensitive marine zones. This study explores the relationship between coastal tourism expansio...
Tourism Mediterranean Sea Environmental Monitoring Water Pollutants, Chemical Water Quality Phosphorus Eutrophication Support Vector Machine Nitrogen Conservation of Natural Resources
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Spatiotemporal dynamics of cyanobacterial blooms: Integrating machine learning and feature selection techniques with uncrewed aircraft systems and autonomous surface vessel data.

Journal of environmental management Apr 9, 2025
Cyanobacterial blooms pose significant threats to aquatic ecosystems and public health due to their ability to release harmful toxins, degrade water quality, disrupt aquatic habitats, and endanger human and animal health through contact or consumptio...
Algorithms Ecosystem Eutrophication Environmental Monitoring Cyanobacteria Machine Learning Aircraft
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U-shaped deep learning networks for algal bloom detection using Sentinel-2 imagery: Exploring model performance and transferability.

Journal of environmental management Apr 3, 2025
Inland water sources, such as lakes, support diverse ecosystems and provide essential services to human societies. However, these valuable resources are under increasing pressure from rapid climate changes and pollution resulting from human activitie...
Lakes Deep Learning Ecosystem Climate Change Algorithms Eutrophication Satellite Imagery Environmental Monitoring
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Comparing the performance of 10 machine learning models in predicting Chlorophyll a in western Lake Erie.

Journal of environmental management Mar 17, 2025
Algal blooms, which have substantial adverse effects, are increasingly occurring worldwide in the context of global warming and eutrophication. Machine learning models (MLMs) are emerging as efficient and promising tools for predicting algal blooms. ...
Environmental Monitoring Machine Learning Chlorophyll Eutrophication Water Quality Lakes Chlorophyll A
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Enhancing short-term algal bloom forecasting through an anti-mimicking hybrid deep learning method.

Journal of environmental management Mar 10, 2025
Accurately predicting algal blooms remains a critical challenge due to their dynamic and non-stationary nature, compounded by high-frequency fluctuations and noise in monitoring data. Additionally, a common issue in time-series forecasting is data re...
Chlorophyll Forecasting China Environmental Monitoring Eutrophication Deep Learning
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Machine learning to identify environmental drivers of phytoplankton blooms in the Southern Baltic Sea.

Scientific reports Jan 24, 2025
Phytoplankton blooms exhibit varying patterns in timing and number of peaks within ecosystems. These differences in blooming patterns are partly explained by phytoplankton:nutrient interactions and external factors such as temperature, salinity and l...
Phytoplankton Salinity Oceans and Seas Ecosystem Chlorophyll Eutrophication Machine Learning Temperature
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