AIMC Topic: Lakes

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Predicting the Site-Specific Toxicity of Metals to Fishes Using a New Machine Learning-Based Approach.

Environmental science & technology Jul 14, 2025
Fishes of various trophic levels play an important role in the stability and balance of aquatic ecosystems. Metal contaminants can impair the survival and population fitness of fish at elevated concentrations. When universal water quality criteria (W...
Water Quality Metals, Heavy Fishes Endangered Species China Metals Water Pollutants, Chemical Models, Biological Environmental Monitoring Ecosystem Lakes Machine Learning Animals
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Global dominance of seasonality in shaping lake-surface-extent dynamics.

Nature May 28, 2025
Lakes are crucial for ecosystems, greenhouse gas emissions and water resources, yet their surface-extent dynamics, particularly seasonality, remain poorly understood at continental to global scales owing to limitations in satellite observations. Alth...
Ecosystem Lakes Satellite Imagery Seasons
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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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Inversion of lake transparency using remote sensing and deep hybrid recurrent models.

Ecotoxicology and environmental safety Apr 26, 2025
Utilizing computer technology and remote sensing data, the extraction of water-related features of lakes has become a hot topic in lake ecological research. Addressing challenges like the high optical complexity of lake water bodies, the inadequacy o...
Environmental Monitoring Remote Sensing Technology China Models, Theoretical Lakes
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Efficient urban flood control and drainage management framework based on digital twin technology and optimization scheduling algorithm.

Water research Apr 22, 2025
Urban flood control and drainage systems often face significant challenges in coordinating municipal drainage with river-lake flood prevention during flood seasons. Rising river levels can create backwater effects, which substantially increase urban ...
Cities Algorithms Rivers Lakes Floods
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Water quality parameters retrieval and nutrient status evaluation based on machine learning methods and Sentinel- 2 imagery: a case study of the Hongjiannao Lake.

Environmental monitoring and assessment Apr 15, 2025
A timely and accurate understanding of lake water quality is significant for maintaining ecological balance, ensuring water resource security, and promoting regional sustainable development. However, due to the varying numerical ranges and characteri...
Phosphorus Water Quality Algorithms Lakes Nitrogen Chlorophyll Environmental Monitoring Nutrients China Machine Learning Water Pollutants, Chemical
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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...
Algorithms Climate Change Ecosystem Satellite Imagery Eutrophication Deep Learning Lakes Environmental Monitoring
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Identification of key feature variables and prediction of harmful algal blooms in a water diversion lake based on interpretable machine learning.

Environmental research Mar 28, 2025
Harmful algal blooms (HABs) as an increasing environmental problem in lakes, and water diversion has become a common and effective strategy for mitigating HABs. Early and accurate identification of the occurrence of HABs in lakes is essential for sci...
China Environmental Monitoring Harmful Algal Bloom Machine Learning Lakes
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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. ...
Water Quality Lakes Machine Learning Chlorophyll A Chlorophyll Environmental Monitoring Eutrophication
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Integrating partial least square structural equation modelling and machine learning for causal exploration of environmental phenomena.

Environmental research Mar 11, 2025
Understanding the causes of environmental phenomena is crucial for promoting positive outcomes and mitigating negative ones. Partial least squares structural equation modelling (PLS-SEM) is becoming a valuable tool for evaluating causal relationships...
Bayes Theorem Least-Squares Analysis Machine Learning China Lakes Harmful Algal Bloom Environmental Monitoring
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