AIMC Topic: Water Quality

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Emerging applications of fluorescence excitation-emission matrix with machine learning for water quality monitoring: A systematic review.

Water research Feb 13, 2025
Fluorescence excitation-emission matrix (FEEM) spectroscopy is increasingly utilized in water quality monitoring due to its rapid, sensitive, and non-destructive measurement capabilities. The integration of machine learning (ML) techniques with FEEM ...
Water Quality Machine Learning Fluorescence Water Pollutants, Chemical Spectrometry, Fluorescence Environmental Monitoring
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Machine learning-based evolution of water quality prediction model: An integrated robust framework for comparative application on periodic return and jitter data.

Environmental pollution (Barking, Essex : 1987) Feb 9, 2025
Accurate water quality prediction is paramount for the sustainable management of surface water resources. Current deep learning models face challenges in reliably forecasting water quality due to the non-stationarity of environmental conditions and t...
Forecasting Environmental Monitoring Water Quality Machine Learning
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Integrated machine learning-based optimization framework for surface water quality index comparing coastal and non-coastal cases of Guangxi, China.

Marine pollution bulletin Feb 3, 2025
In this study, an optimized comprehensive water quality index (WQI) model framework is developed, which combines advanced machine learning technology to compare different types of surface water quality assessment. The proposed framework enhancement e...
Environmental Monitoring Water Quality Machine Learning Rivers China
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Assessing the impact of rainfall, topography, and human disturbances on nutrient levels using integrated machine learning and GAMs models in the Choctawhatchee River Watershed.

Journal of environmental management Jan 31, 2025
Nutrient pollution caused by excessive total nitrogen (TN) and total phosphorus (TP) is a significant environmental challenge globally, threatening water quality and ecosystem health. This study investigates the interplay between rainfall, topography...
Rain Phosphorus Environmental Monitoring Water Quality Humans Nitrogen Water Pollutants, Chemical Rivers Nutrients Machine Learning
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Integrating machine learning models for optimizing ecosystem health assessments through prediction of nitrate-N concentrations in the lower stretch of Ganga River, India.

Environmental science and pollution research international Jan 30, 2025
Nitrate, a highly reactive form of inorganic nitrogen, is commonly found in aquatic environments. Understanding the dynamics of nitrate-N concentration in rivers and its interactions with other water-quality parameters is crucial for effective freshw...
Environmental Monitoring Water Pollutants, Chemical Nitrates Water Quality Nitrogen Ecosystem India Machine Learning Rivers
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Attention-based deep learning models for predicting anomalous shock of wastewater treatment plants.

Water research Jan 23, 2025
Quickly grasping the time-consuming water quality indicators (WQIs) such as total nitrogen (TN) and total phosphorus (TP) of influent is an essential prerequisite for wastewater treatment plants (WWTPs) to prompt respond to sudden shock loads. Soft d...
Deep Learning Wastewater Neural Networks, Computer Phosphorus Waste Disposal, Fluid Machine Learning Nitrogen Water Purification Water Quality
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Optimizing papermaking wastewater treatment by predicting effluent quality with node-level capsule graph neural networks.

Environmental monitoring and assessment Jan 18, 2025
Papermaking wastewater consists of a sizable amount of industrial wastewater; hence, real-time access to precise and trustworthy effluent indices is crucial. Because wastewater treatment processes are complicated, nonlinear, and time-varying, it is e...
Water Pollutants, Chemical Water Quality Wastewater Biological Oxygen Demand Analysis Waste Disposal, Fluid Neural Networks, Computer Industrial Waste Graph Neural Networks Environmental Monitoring
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Optimal selection of machine learning algorithms for ciprofloxacin prediction based on conventional water quality indicators.

Ecotoxicology and environmental safety Jan 6, 2025
The long-term presence of antibiotics in the aquatic environment will affect ecology and human health. Techniques for determining antibiotics are often time-consuming, labor-intensive and costly, and it is desirable to seek new methods to achieve rap...
Environmental Monitoring Water Pollutants, Chemical Ciprofloxacin Algorithms Anti-Bacterial Agents Water Quality Neural Networks, Computer Machine Learning
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Improving groundwater quality predictions in semi-arid regions using ensemble learning models.

Environmental science and pollution research international Jan 4, 2025
Groundwater resources constitute one of the primary sources of freshwater in semi-arid and arid climates. Monitoring the groundwater quality is an essential component of environmental management. In this study, a comprehensive comparison was conducte...
Machine Learning Desert Climate Groundwater Neural Networks, Computer Water Quality Ensemble Learning Environmental Monitoring Iran
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AQuA-P: A machine learning-based tool for water quality assessment.

Journal of contaminant hydrology Jan 3, 2025
This study addresses the critical challenge of assessing the quality of groundwater and surface water, which are essential resources for various societal needs. The main contribution of this study is the application of machine learning models for eva...
Mexico Decision Trees Water Quality Groundwater Environmental Monitoring Machine Learning Software
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