AIMC Topic: Phosphorus

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Incorporation of water quality index models with machine learning-based techniques for real-time assessment of aquatic ecosystems.

Environmental pollution (Barking, Essex : 1987) May 27, 2024
Water quality index (WQI) is a well-established tool for assessing the overall quality of fresh inland-waters. However, the effectiveness of real-time assessment of aquatic ecosystems using the WQI is usually impacted by the absence of some water qua...
Biological Oxygen Demand Analysis Ecosystem Finland Lakes Environmental Monitoring Water Pollutants, Chemical Phosphorus Water Quality Machine Learning
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Machine learning-driven prediction of phosphorus removal performance of metal-modified biochar and optimization of preparation processes considering water quality management objectives.

Bioresource technology May 18, 2024
Developing an optimized and targeted design approach for metal-modified biochar based on water quality conditions and management is achievable through machine learning. This study leveraged machine learning to analyze experimental data on phosphate a...
Machine Learning Water Purification Metals Hydrogen-Ion Concentration Phosphorus Water Quality Water Pollutants, Chemical Adsorption Charcoal
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Prediction models for bioavailability of Cu and Zn during composting: Insights into machine learning.

Journal of hazardous materials Apr 23, 2024
Bioavailability assessment of heavy metals in compost products is crucial for evaluating associated environmental risks. However, existing experimental methods are time-consuming and inefficient. The machine learning (ML) method has demonstrated exce...
Neural Networks, Computer Machine Learning Soil Copper Nitrogen Hydrogen-Ion Concentration Zinc Models, Theoretical Soil Pollutants Electric Conductivity Phosphorus Composting Biological Availability
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Spatiotemporal variation reconstruction of total phosphorus in the Great Lakes since 2002 using remote sensing and deep neural network.

Water research Mar 19, 2024
Total phosphorus (TP) is non-optically active, thus TP concentration (CTP) estimation using remote sensing still exists grand challenge. This study developed a deep neural network model (DNN) for CTP estimation with synchronous in-situ measurements a...
Phosphorus Seasons Neural Networks, Computer Lakes Environmental Monitoring Remote Sensing Technology
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Identification of pollution source and prediction of water quality based on deep learning techniques.

Journal of contaminant hydrology Dec 23, 2023
Semi-arid rivers are particularly vulnerable and responsive to the impacts of industrial contamination. Prompt identification and projection of pollutant dynamics are crucial in the accidental pollution incidents, therefore required the timely inform...
Ammonia Phosphorus Water Quality Rivers Nitrogen Water Pollution Deep Learning China Environmental Monitoring Water Pollutants, Chemical
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Application of classification machine learning algorithms for characterizing nutrient transport in a clay plain agricultural watershed.

Journal of environmental management Sep 6, 2023
Excess nutrients in surface water and groundwater can lead to water quality deterioration in available water resources. Thus, the classification of nutrient concentrations in water resources has gained significant attention during recent decades. Mac...
Phosphorus Clay Algorithms Ontario Machine Learning Nutrients
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Prediction and sensitivity analysis of chlorophyll a based on a support vector machine regression algorithm.

Environmental monitoring and assessment May 20, 2023
Outbreaks of planktonic algae seriously affect the water quality of rivers and are difficult to control. Based on the analysis of the temporal and spatial variation characteristics of environmental factors, this study uses a support vector machine re...
Environmental Monitoring Support Vector Machine Nitrogen Phosphorus Rivers Chlorophyll Eutrophication Lakes China Chlorophyll A
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Large-scale prediction of stream water quality using an interpretable deep learning approach.

Journal of environmental management Jan 17, 2023
Deep learning methods, which have strong capabilities for mapping highly nonlinear relationships with acceptable calculation speed, have been increasingly applied for water quality prediction in recent studies. However, it is argued that the practica...
Water Quality Rivers Water Pollutants, Chemical Nitrogen Phosphorus Deep Learning China Environmental Monitoring
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In vivo magnetic resonance P-Spectral Analysis With Neural Networks: 31P-SPAWNN.

Magnetic resonance in medicine Sep 25, 2022
PURPOSE: We have introduced an artificial intelligence framework, 31P-SPAWNN, in order to fully analyze phosphorus-31 ( P) magnetic resonance spectra. The flexibility and speed of the technique rival traditional least-square fitting methods, with th...
Reproducibility of Results Phosphorus Magnetic Resonance Spectroscopy Humans Neural Networks, Computer Artificial Intelligence
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Effects of nitrogen and phosphorus addition on growth and leaf nitrogen metabolism of alfalfa in alkaline soil in Yinchuan Plain of Hetao Basin.

PeerJ Apr 13, 2022
Alkaline soil is widely distributed in China. Its rational utilization is an effective measure to solve land shortage and improve the environment. Alfalfa is characterized by strong salt and alkali tolerance and high yield and protein content. Nitrog...
Phosphorus Amino Acids Chlorophyll A Nitrogen Soil Plants Nitrate Reductase Medicago sativa Transaminases
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