AIMC Topic: Phosphorus

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Machine learning prediction and exploration of phosphorus migration and transformation during hydrothermal treatment of biomass waste.

The Science of the total environment Oct 11, 2024
Hydrothermal treatment (HTT) held promise for phosphorus (P) recovery from high-moisture biomass. However, traditional experimental studies of P hydrothermal conversion were time-consuming and labor-intensive. Thus, based on biomass characteristics a...
Phosphorus Biomass Water Pollutants, Chemical Machine Learning
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Application of machine learning in ultrasonic pretreatment of sewage sludge: Prediction and optimization.

Environmental research Oct 5, 2024
In this research, typical industrial scenarios were analyzed optimized by machine learning algorithms, which fills the gap of massive data and industrial requirements in ultrasonic sludge treatment. Principal component analysis showed that the ultras...
Machine Learning Waste Disposal, Fluid Sewage Ultrasonics Biological Oxygen Demand Analysis Nitrogen Phosphorus
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Machine learning-driven prediction of phosphorus adsorption capacity of biochar: Insights for adsorbent design and process optimization.

Journal of environmental management Sep 4, 2024
Phosphorus (P) pollution in aquatic environments poses significant environmental challenges, necessitating the development of effective remediation strategies, and biochar has emerged as a promising adsorbent for P removal at the cost of extensive re...
Water Pollutants, Chemical Adsorption Phosphorus Charcoal Machine Learning Algorithms Water Purification
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Supporting data-enhanced hybrid ordinary differential equation model for phosphate dynamics in municipal wastewater treatment.

Bioresource technology Aug 6, 2024
A parallel hybrid ordinary differential equation (ODE) integrating the Activated Sludge Model No. 2d (ASM2d) and an artificial neural network (ANN) was developed to simulate biological phosphorus removal (BPR) with high accuracy and interpretability....
Neural Networks, Computer Wastewater Water Purification Models, Theoretical Bioreactors Phosphorus Cities Waste Disposal, Fluid Sewage Phosphates
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Pollution loads in the middle-lower Yangtze river by coupling water quality models with machine learning.

Water research Jul 30, 2024
Pollution control and environmental protection of the Yangtze River have received major attention in China. However, modeling the river's pollution load remains challenging due to limited monitoring and unclear spatiotemporal distribution of pollutio...
Rivers Biological Oxygen Demand Analysis Water Pollution Machine Learning Phosphorus Environmental Monitoring Water Quality China Water Pollutants, Chemical Models, Theoretical
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An ensemble model for accurate prediction of key water quality parameters in river based on deep learning methods.

Journal of environmental management Jul 22, 2024
Deep learning models provide a more powerful method for accurate and stable prediction of water quality in rivers, which is crucial for the intelligent management and control of the water environment. To increase the accuracy of predicting the water ...
Models, Theoretical Environmental Monitoring Deep Learning Phosphorus Water Quality Rivers
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Artificial neural network modeling for the prediction, estimation, and treatment of diverse wastewaters: A comprehensive review and future perspective.

Chemosphere Jul 15, 2024
The application of artificial neural networks (ANNs) in the treatment of wastewater has achieved increasing attention, as it enhances the efficiency and sustainability of wastewater treatment plants (WWTPs). This paper explores the application of ANN...
Phosphorus Biological Oxygen Demand Analysis Water Purification Waste Disposal, Fluid Bioreactors Neural Networks, Computer Nitrogen Water Pollutants, Chemical Wastewater
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Optimization of a Novel Engineered Ecosystem Integrating Carbon, Nitrogen, Phosphorus, and Sulfur Biotransformation for Saline Wastewater Treatment Using an Interpretable Machine Learning Approach.

Environmental science & technology Jul 10, 2024
The denitrifying sulfur (S) conversion-associated enhanced biological phosphorus removal (DS-EBPR) process for treating saline wastewater is characterized by its unique microbial ecology that integrates carbon (C), nitrogen (N), phosphorus (P), and S...
Biotransformation Sulfur Waste Disposal, Fluid Carbon Phosphorus Denitrification Nitrogen Machine Learning Wastewater Ecosystem
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Predicting the governing factors for the release of colloidal phosphorus using machine learning.

Chemosphere Jun 27, 2024
Predicting the parameters that influence colloidal phosphorus (CP) release from soils under different land uses is critical for managing the impact on water quality. Traditional modeling approaches, such as linear regression, may fail to represent th...
Phosphorus Environmental Monitoring Machine Learning Soil Pollutants Soil Linear Models Colloids Iron
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Machine learning in soil nutrient dynamics of alpine grasslands.

The Science of the total environment Jun 25, 2024
As a terrestrial ecosystem, alpine grasslands feature diverse vegetation types and play key roles in regulating water resources and carbon storage, thus shaping global climate. The dynamics of soil nutrients in this ecosystem, responding to regional ...
Nitrogen Machine Learning Nutrients Soil Climate Change Phosphorus Ecosystem Grassland Environmental Monitoring
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