AIMC Topic: Lakes

Clear Filters Showing 21 to 30 of 73 articles

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...
Machine Learning Forecasting Lakes Environmental Monitoring Chlorophyll Ecosystem Eutrophication
View on PubMed DOI

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 ...
Environmental Monitoring Water Quality Eutrophication Lakes Climate Change Machine Learning
View on PubMed DOI

Habitat selection ecology of the aquatic beetle community using explainable machine learning.

Scientific reports Nov 21, 2024
The aim of our work is to determine the importance of habitat features for the selection of the aquatic beetle community. Insects are represented by their general ecological traits such as body size, ecological element and trophic type, which are cat...
Animals Ecosystem Lakes Machine Learning Coleoptera Body Size
View on PubMed DOI

Leveraging explainable machine learning for enhanced management of lake water quality.

Journal of environmental management Oct 13, 2024
Freshwater lakes worldwide suffer from eutrophication caused by excessive nutrient loads, particularly nitrogen (N) and phosphorus (P) from wastewater and runoff, affecting aquatic life and public health. Using a large (1800 km) subtropical lake as a...
Eutrophication Lakes Nitrogen Machine Learning Phosphorus Water Quality Algorithms Environmental Monitoring Florida
View on PubMed DOI

Integrating multisource data and machine learning for supraglacial lake detection: Implications for environmental management and sustainable development goals in high mountainous regions.

Journal of environmental management Sep 24, 2024
The accurate detection and monitoring of supraglacial lakes in high mountainous regions are crucial for understanding their dynamic nature and implications for environmental management and sustainable development goals. In this study, we propose a no...
Support Vector Machine Pakistan Ice Cover Sustainable Development Lakes Environmental Monitoring Neural Networks, Computer Machine Learning
View on PubMed DOI

Long-term trend forecast of chlorophyll-a concentration over eutrophic lakes based on time series decomposition and deep learning algorithm.

The Science of the total environment Aug 10, 2024
Long-term trend forecast of chlorophyll-a concentration (Chla) holds significant implications for eutrophication management and pollution control planning on lakes, especially under the background of climate change. However, it is a challenging task ...
Environmental Monitoring Seasons Chlorophyll Chlorophyll A Climate Change Forecasting Deep Learning China Eutrophication Lakes
View on PubMed DOI

Machine learning-based analysis of heavy metal contamination in Chinese lake basin sediments: Assessing influencing factors and policy implications.

Ecotoxicology and environmental safety Aug 1, 2024
Sediments are important heavy metal sinks in lakes, crucial for ensuring water environment safety. Existing studies mainly focused on well-studied lakes, leaving gaps in understanding pollution patterns in specific basins and influencing factors.We c...
Water Pollutants, Chemical China Rivers Environmental Monitoring Geologic Sediments Metals, Heavy Machine Learning Environmental Policy Lakes
View on PubMed DOI

Predicting abrupt depletion of dissolved oxygen in Chaohu lake using CNN-BiLSTM with improved attention mechanism.

Water research Jul 3, 2024
Depletion of dissolved oxygen (DO) is a significant incentive for biological catastrophic events in freshwater lakes. Although predicting the DO concentrations in lakes with high-frequency real-time data to prevent hypoxic events is effective, few re...
Neural Networks, Computer Lakes Oxygen Water Quality China Environmental Monitoring
View on PubMed DOI

Analyzing variation of water inflow to inland lakes under climate change: Integrating deep learning and time series data mining.

Environmental research Jun 23, 2024
The alarming depletion of global inland lakes in recent decades makes it essential to predict water inflow from rivers to lakes (WIRL) trend and unveil the dominant influencing driver, particularly in the context of climate change. The raw time serie...
Climate Change Environmental Monitoring Lakes Data Mining Deep Learning
View on PubMed DOI

Exploring spatiotemporal patterns of algal cell density in lake Dianchi with explainable machine learning.

Environmental pollution (Barking, Essex : 1987) Jun 18, 2024
The escalating global occurrence of algal blooms poses a growing threat to ecosystem services. In this study, the spatiotemporal heterogeneity of water quality parameters was leveraged to partition Lake Dianchi into three clusters. Considering water ...
Environmental Monitoring Water Quality Machine Learning Eutrophication Ecosystem Lakes
View on PubMed DOI
Popular Topics
Recent Journals