AIMC Topic: Methane

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Machine learning-based analysis of microplastic-induced changes in anaerobic digestion parameters influencing methane yield.

Journal of environmental management Feb 23, 2025
Microplastics (MPs) present significant challenges for anaerobic digestion (AD) processes used in energy recovery from contaminated organic waste. Given that optimal AD conditions vary widely across studies when MPs are present, a robust predictive m...
Microplastics Anaerobiosis Methane Machine Learning
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Deciphering and Mitigating of Dynamic Greenhouse Gas Emission in Urban Drainage Systems with Knowledge-Infused Graph Neural Network.

Environmental science & technology Feb 12, 2025
Deciphering and mitigating dynamic greenhouse gas (GHG) emissions under environmental fluctuation in urban drainage systems (UDGSs) is challenging due to the absence of a high-prediction model that accurately quantifies the contributions of biologica...
Neural Networks, Computer Greenhouse Gases Nitrous Oxide Graph Neural Networks Wastewater Methane
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Trustworthy and Human Centric neural network approaches for prediction of landfill methane emission and sustainable waste management practices.

Waste management (New York, N.Y.) Jan 30, 2025
Landfills rank third among the anthropogenic sources of methane gas in the atmosphere, hence there is a need for greater emphasis on the quantification of landfill methane emission for mitigating environmental degradation. However, the estimation and...
India Environmental Monitoring Air Pollutants Methane Neural Networks, Computer China Humans Waste Disposal Facilities Indonesia Waste Management
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Improving Bond Dissociations of Reactive Machine Learning Potentials through Physics-Constrained Data Augmentation.

Journal of chemical information and modeling Jan 28, 2025
In the field of computational chemistry, predicting bond dissociation energies (BDEs) presents well-known challenges, particularly due to the multireference character of reactive systems. Many chemical reactions involve configurations where single-re...
Methane Quantum Theory Machine Learning Thermodynamics
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An ML-Enhanced Laser-Based Methane Slip Sensor Using Wavelength Modulation Spectroscopy.

ACS sensors Jan 15, 2025
Natural gas (NG) is a promising alternative to diesel for sustainable transport, potentially reducing GHG and air quality emissions significantly. However, the GHG benefits hinge on managing methane slip, the unburned methane in the exhaust of NG eng...
Vehicle Emissions Natural Gas Spectrum Analysis Lasers Machine Learning Methane
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Accelerated Screening of Highly Sensitive Gas Sensor Materials for Greenhouse Gases Based on DFT and Machine Learning Methods.

ACS sensors Jan 6, 2025
Greenhouse gases (GHGs) have caused great harm to the ecological environment, so it is necessary to screen gas sensor materials for detecting GHGs. In this study, we propose an ideal gas sensor design strategy with high screening efficiency and low c...
Greenhouse Gases Carbon Dioxide Gases Machine Learning Adsorption Density Functional Theory Methane
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Optimizing LandGEM model parameters using a machine learning method to improve the accuracy of landfill methane gas generation estimates in the United States.

Journal of environmental management Jan 5, 2025
Municipal solid waste (MSW) landfills significantly contribute to global methane gas production, underscoring the critical need for accurate emission gas estimation within an effective gas management strategy. While first-order models such as LandGEM...
Machine Learning Environmental Monitoring Air Pollutants Methane Waste Disposal Facilities United States Models, Theoretical
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Global forecasting of carbon concentration through a deep learning spatiotemporal modeling.

Journal of environmental management Nov 15, 2024
Given the global urgency to mitigate climate change, a key action is the development of effective carbon concentration reduction policies. To this end, an influential factor is the availability of accurate predictions of carbon concentration trends. ...
Methane Models, Theoretical Forecasting Neural Networks, Computer Carbon Dioxide Carbon Deep Learning Climate Change
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Microbial-Guided prediction of methane and sulfide production in Sewers: Integrating mechanistic models with Machine learning.

Bioresource technology Oct 15, 2024
Accurate modeling of methane (CH) and sulfide (HS) production in sewer systems was constrained by insufficient consideration of microbial processes under dynamic environmental conditions. This study introduces a microbial-guided machine learning (ML)...
Sulfides Sewage Hydrogen Sulfide Methane Models, Biological Machine Learning
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Neural Network Based Aliasing Spectral Decoupling Algorithm for Precise Mid-Infrared Multicomponent Gases Sensing.

ACS sensors Aug 16, 2024
Owing to the overlapping and cross-interference of absorption lines in multicomponent gases, the simultaneous measurement of such gases via laser absorption spectroscopy frequently necessitates the use of supplementary pressure sensors to distinguish...
Ethane Methane Steam Gases Spectrophotometry, Infrared Water Limit of Detection Neural Networks, Computer Algorithms
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