AIMC Topic: Lakes
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Exploring the response of bacterial community functions to microplastic features in lake ecosystems through interpretable machine learning.
Environmental research
Feb 10, 2025
Microplastics (MPs) are ubiquitous and have various characteristics. However, their impacts on bacterial community functions in lakes remain elusive. In this study, we identified 33 different MPs features including their abundance, shape, color, size...
Spatiotemporal variation in biomass abundance of different algal species in Lake Hulun using machine learning and Sentinel-3 images.
Scientific reports
Jan 21, 2025
Climate change and human activities affect the biomass of different algal and the succession of dominant species. In the past, phytoplankton phyla inversion has been focused on oceanic and continental shelf waters, while phytoplankton phyla inversion...
Cyanobacteria hot spot detection integrating remote sensing data with convolutional and Kolmogorov-Arnold networks.
The Science of the total environment
Jan 6, 2025
Prompt and accurate monitoring of cyanobacterial blooms is essential for public health management and understanding aquatic ecosystem dynamics. Remote sensing, in particular satellite observations, presents a good alternative for continuous monitorin...
Integrating machine learning and remote sensing for long-term monitoring of chlorophyll-a in Chilika Lagoon, India.
Environmental monitoring and assessment
Dec 26, 2024
Chlorophyll-a (Chla) is recognized as a key indicator of water quality and ecological health in aquatic ecosystems, offering valuable insights into ecosystem dynamics and changes over time. This study aimed to to develop and validate a robust ML mode...
Accurate prediction of pollution and health risks of iodinated X-ray contrast media in Taihu Lake with machine learning and revealing key environmental factors.
Water research
Dec 17, 2024
Iodinated X-ray contrast media (ICM) are commonly detected at considerable concentrations in aquatic environments. The long-term pollution trends in ICM at the whole lake/river scale have not yet been investigated; therefore, the risks associated wit...
Balanced hydropower and ecological benefits in reservoir-river-lake system: An integrated framework with machine learning and game theory.
Journal of environmental management
Dec 17, 2024
The negative impacts of large hydroelectric reservoirs on downstream ecosystems have attracted worldwide attention. Few attempts have been made to dynamically predict ecological benefits and rationally negotiation in the reservoir-river-lake (RRL) sy...
Unsupervised learning for lake underwater vegetation classification: Constructing high-precision, large-scale aquatic ecological datasets.
The Science of the total environment
Dec 7, 2024
Monitoring underwater vegetation is vital for evaluating lake ecosystem health. Automated data collection and analysis play key roles in achieving large-scale, high-precision, and high-frequency monitoring. While technologies such as unmanned vessels...
Dongting Lake algal bloom forecasting: Robustness and accuracy analysis of deep learning models.
Journal of hazardous materials
Dec 5, 2024
Harmful algal blooms (HABs) pose a significant threat to aquatic ecosystems, prompting efforts to predict their occurrence for swift action by water management agencies. Despite the potential for high-precision forecasting through machine learning, t...
Are more data always better? - Machine learning forecasting of algae based on long-term observations.
Journal of environmental management
Dec 2, 2024
Bloom-forming algae present a unique challenge to water managers as they can significantly impair provision of important ecosystem services and cause health risks to humans and animals. Consequently, effective short-term algae forecasts are important...
Projected response of algal blooms in global lakes to future climatic and land use changes: Machine learning approaches.
Water research
Nov 29, 2024
The eutrophication of lakes and the subsequent algal blooms have become significant environmental issues of global concern in recent years. With ongoing global warming and intensifying human activities, water quality trends in lakes worldwide varied ...
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