AIMC Topic: Water Quality

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Sentinel-2 imagery coupled with machine learning to modelling water turbidity in the Doce River Basin, Brazil.

Environmental monitoring and assessment Mar 22, 2025
Remote sensing and machine learning are techniques that can be used to monitor water quality properties, surpassing the limitations of the conventional techniques. Turbidity is an important water quality property directly influenced by the Fundão dam...
Water Quality Rivers Machine Learning Water Pollutants, Chemical Brazil Remote Sensing Technology Environmental Monitoring
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Artificial intelligence based detection and control strategies for river water pollution: A comprehensive review.

Journal of contaminant hydrology Mar 17, 2025
Water quality (WQ) is a metric for assessing the overall health and safety of water bodies like a river. Owing to the habitation of anthropogenic habitation around its basin, the rivers can become one of the most contaminated water sources globally. ...
Environmental Monitoring Water Pollutants, Chemical Water Quality Rivers Water Pollution Neural Networks, Computer Artificial Intelligence
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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. ...
Lakes Environmental Monitoring Water Quality Machine Learning Eutrophication Chlorophyll Chlorophyll A
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Prediction of suspended sediment load in Sungai Semenyih using extreme learning machines and metaheuristic optimization approach.

Journal of environmental management Mar 17, 2025
Suspended sediment load (SSL) refers to sediment particles, such as silt and clay, that are suspended in water. It plays a critical role in hydrology and water quality management, influencing factors such as water quality, river erosion, sedimentatio...
Machine Learning Environmental Monitoring Water Quality Extreme Learning Machines Rivers Geologic Sediments
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Integrated machine learning based groundwater quality prediction through groundwater quality index for drinking purposes in a semi-arid river basin of south India.

Environmental geochemistry and health Mar 14, 2025
The main objective of this study is to predict and monitor groundwater quality through the use of modern Machine Learning (ML) techniques. By employing ML techniques, the research effectively evaluates groundwater quality to forecast its future trend...
Rivers India Groundwater Drinking Water Water Pollutants, Chemical Water Quality Environmental Monitoring Machine Learning
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Prediction of river dissolved oxygen (DO) based on multi-source data and various machine learning coupling models.

PloS one Mar 4, 2025
Too low a concentration of dissolved oxygen (DO) in a river can disrupt the ecological balance, while too high a concentration may lead to eutrophication of the water body and threaten the health of the aquatic environment. Therefore, accurate predic...
Models, Theoretical Rivers Machine Learning Water Quality Environmental Monitoring Principal Component Analysis Algorithms Oxygen
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Tracking the spatiotemporal evolution of groundwater chemistry in the Quaternary aquifer system of Debrecen area, Hungary: integration of classical and unsupervised learning methods.

Environmental science and pollution research international Mar 1, 2025
Monitoring changes in groundwater quality over time helps identify time-dependent factors influencing water safety and supports the development of effective management strategies. This study investigates the spatiotemporal evolution of groundwater ch...
Groundwater Environmental Monitoring Water Pollutants, Chemical Principal Component Analysis Hungary Cluster Analysis Water Quality Unsupervised Machine Learning
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Developing a real-time water quality simulation toolbox using machine learning and application programming interface.

Journal of environmental management Feb 28, 2025
Rivers are vital for sustaining human life as they foster social development, provide drinking water, maintain aquatic ecosystems, and offer recreational spaces. However, most rivers are being increasingly contaminated by pollutants from non-point so...
Environmental Monitoring Rivers Neural Networks, Computer Water Pollutants, Chemical Nitrogen Machine Learning Phosphorus Water Quality Algorithms
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Enhanced water quality prediction model using advanced hybridized resampling alternating tree-based and deep learning algorithms.

Environmental science and pollution research international Feb 24, 2025
Water quality modeling in riverine systems is crucial for effective water resource management and pollution mitigation planning. However, the intricate interplay of anthropogenic activities with hydrological, climatic, and fluvial processes presents ...
Rivers Environmental Monitoring Algorithms Water Quality Deep Learning
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Change analysis of surface water clarity in the Persian Gulf and the Oman Sea by remote sensing data and an interpretable deep learning model.

Environmental science and pollution research international Feb 18, 2025
The health of an ecosystem and the quality of water can be determined by the clarity of the water. The Persian Gulf and Oman Sea have a unique ecosystem, and monitoring their water clarity is necessary for sustainable development. Here, various crite...
Deep Learning Environmental Monitoring Chlorophyll Ecosystem Indian Ocean Chlorophyll A Remote Sensing Technology Seawater Water Quality Salinity Oman
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