AIMC Topic: Nitrogen

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A novel hybrid variable cross layer-based machine learning model improves the accuracy and interpretation of energy intensity prediction of wastewater treatment plant.

Journal of environmental management Nov 15, 2024
Energy intensity (EI) prediction in wastewater treatment plants (WWTPs) suffers from inaccuracy and non-interpretability due to poor data quality, complex mechanisms and various confounding variables. In this study, the novel hybrid variable cross la...
Nitrogen Machine Learning Waste Disposal, Fluid Models, Theoretical Wastewater
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Interpretable causal machine learning optimization tool for improving efficiency of internal carbon source-biological denitrification.

Bioresource technology Nov 8, 2024
Interpretable causal machine learning (ICML) was used to predict the performance of denitrification and clarify the relationships between influencing factors and denitrification. Multiple models were examined, and XG-Boost model provided the best pre...
Carbon Nitrogen Sewage Biological Oxygen Demand Analysis Denitrification Wastewater Water Purification Machine Learning
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Deciphering the impact of cascade reservoirs on nitrogen transport and nitrate transformation: Insights from multiple isotope analysis and machine learning.

Water research Oct 16, 2024
Construction of cascade reservoirs has altered nutrient dynamics and biogeochemical cycles, thereby influencing the composition and productivity of river ecosystems. The Lancang River (LCR), characterized by its cascade reservoir system, presents unc...
Machine Learning Isotopes Environmental Monitoring Nitrates Nitrogen Rivers
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Dynamic patterns and potential drivers of river water quality in a coastal city: Insights from a machine-learning-based framework and water management.

Journal of environmental management Oct 15, 2024
River water quality continues to deteriorate under the coupled effects of climate change and human activities. Machine learning (ML) is a promising approach for analyzing water quality. Nevertheless, the spatiotemporal dynamics of river water quality...
Cities Environmental Monitoring Nitrogen Machine Learning China Rivers Phosphorus Water Quality
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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...
Machine Learning Algorithms Water Quality Florida Environmental Monitoring Nitrogen Phosphorus Eutrophication Lakes
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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...
Waste Disposal, Fluid Ultrasonics Nitrogen Biological Oxygen Demand Analysis Machine Learning Phosphorus Sewage
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Transition from sulfur autotrophic to mixotrophic denitrification: Performance with different carbon sources, microbial community and artificial neural network modeling.

Chemosphere Sep 30, 2024
To address the limitations inherent in both sulfur autotrophic denitrification (SAD) and heterotrophic denitrification (HD) processes, this study introduces a novel approach. Three carbon sources (glucose, methanol, and sodium acetate) were fed into ...
Bioreactors Methanol Glucose Microbiota Nitrogen Neural Networks, Computer Carbon Sodium Acetate Heterotrophic Processes Denitrification Nitrates Sulfur Autotrophic Processes
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Predicting leaf nitrogen content in wolfberry trees by hyperspectral transformation and machine learning for precision agriculture.

PloS one Sep 26, 2024
Leaf nitrogen content (LNC) is an important indicator for scientific diagnosis of the nutrition status of crops. It plays an important role in the growth, yield and quality of wolfberry. This study aimed to develop new spectral indices (NSIs) and con...
Nitrogen Agriculture Machine Learning Lycium Spectrum Analysis Plant Leaves Algorithms
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Thermodynamics and explainable machine learning assist in interpreting biodegradability of dissolved organic matter in sludge anaerobic digestion with thermal hydrolysis.

Bioresource technology Aug 28, 2024
Dissolved organic matter (DOM) is essential in biological treatment, yet its specific roles remain incompletely understood. This study introduces a machine learning (ML) framework to interpret DOM biodegradability in the anaerobic digestion (AD) of s...
Nitrogen Biodegradation, Environmental Hydrolysis Carbon Machine Learning Sewage Anaerobiosis Organic Chemicals Thermodynamics
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Predicting ammonia emissions and global warming potential in composting by machine learning.

Bioresource technology Aug 22, 2024
The amounts of gases emitted from composting are key to evaluating global warming potential (GWP). However, few methods can accurately predict the quantities of relevant gas emissions. In this study, three developed machine-learning models were used ...
Composting Ammonia Global Warming Machine Learning Soil Nitrogen
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