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." ...
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...
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...
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...
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...
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...
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. ...
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...
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...
Multi-modal learning-based algae phyla identification using image and particle modalities.
Water research
Jan 21, 2025
Algal blooms in freshwater, which are exacerbated by urbanization and climate change, pose significant challenges in the water treatment process. These blooms affect water quality and treatment efficiency. Effective identification of algal proliferat...
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