AIMC Topic: Carbon

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Optimizing Watershed Land Use to Achieve the Benefits of Lake Carbon Sinks while Maintaining Water Quality.

Environmental science & technology May 6, 2025
Greenhouse gas emissions and water quality decline are two major issues currently affecting lakes worldwide. Determining how to control both greenhouse gas emissions and water quality decline is a long-term challenge. We compiled data on the annual a...
Carbon Sequestration Carbon Dioxide Water Quality Eutrophication Lakes Carbon Phosphorus
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Soil fertility matters! A new conceptual model for carbon stewardship in neotropical croplands taking climate-smart agricultural practices into account.

The Science of the total environment Apr 16, 2025
Mismanagement of agroecosystems in Neotropical regions threatens global security, accelerating the transgression of planetary boundaries. Therefore, understanding carbon (C) stewardship and how climate-smart agriculture (CSA) practices change nutrien...
Soil Agriculture Climate Change Fertilizers Tropical Climate Environmental Monitoring Carbon Nitrogen
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Is the energy quota trading policy a solution to carbon inequality in China? Evidence from double machine learning.

Journal of environmental management Apr 15, 2025
Implementing China's energy quota trading policy, as a typical market-based environmental regulation, thoroughly deepens the reform of energy market allocation. While the inhibitory effect of energy quota trading on carbon emissions is evident, its i...
Environmental Policy Machine Learning China Cities Carbon
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Variability analysis of soil organic carbon content across land use types and its digital mapping using machine learning and deep learning algorithms.

Environmental monitoring and assessment Apr 10, 2025
Soil organic carbon (SOC) plays a crucial role in carbon cycle management and soil fertility. Understanding the spatial variations in SOC content is vital for supporting sustainable soil resource management. In this study, we analyzed the variability...
Algorithms Soil Deep Learning Machine Learning Environmental Monitoring Carbon France
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Feasibility study of real-time virtual sensing for water quality parameters in river systems using synthetic data and deep learning models.

Journal of environmental management Apr 2, 2025
With water quality management crucial for environmental sustainability, multiple techniques for real-time monitoring and estimation of water quality parameters have been developed. However, certain data types, such as airborne images, are only access...
Deep Learning Environmental Monitoring Water Pollutants, Chemical Rivers Nitrogen Carbon Phosphorus Feasibility Studies Water Quality
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Machine learning assisted paper-based fluorescent sensor array with metal-doped multicolor carbon quantum dots for identification and inactivation of bacteria.

Talanta Mar 27, 2025
Bacterial infection is a thorny threat in a variety of fields, including medicine, environment, food, and agriculture. A multifunctional platform that meets the demands of both bacterial identification and real-time inactivation is urgently needed. T...
Biosensing Techniques Machine Learning Bacteria Anti-Bacterial Agents Carbon Quantum Dots Paper Fluorescence Copper Fluorescent Dyes Zinc Silver
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Optimization of Decision Support Technology for Offshore Oil Condition Monitoring with Carbon Neutrality as the Goal in the Enterprise Development Process.

PloS one Mar 25, 2025
This study aims to explore the integration of the Faster R-CNN (Region-based Convolutional Neural Network) algorithm from deep learning into the MobileNet v2 architecture, within the context of enterprises aiming for carbon neutrality in their develo...
Carbon Conservation of Natural Resources Petroleum Neural Networks, Computer Decision Support Techniques Algorithms Deep Learning Environmental Monitoring
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Enhancing process monitoring and control in novel carbon capture and utilization biotechnology through artificial intelligence modeling: An advanced approach toward sustainable and carbon-neutral wastewater treatment.

Chemosphere Mar 17, 2025
Integrating carbon capture and utilization (CCU) technologies into wastewater treatment plants (WWTPs) is essential for mitigating greenhouse gas (GHG) emissions and enhancing environmental sustainability, but further advancements in process monitori...
Neural Networks, Computer Artificial Intelligence Greenhouse Gases Photobioreactors Carbon Sequestration Wastewater Carbon Waste Disposal, Fluid Carbon Dioxide Biotechnology
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Machine learning-based biological process optimization for low molecular weight welan gum production.

International journal of biological macromolecules Mar 16, 2025
This study focuses on optimizing the fermentation process for the production of low molecular weight welan gum (LMW-WG) using Sphingomonas sp. ATCC 31555 with glycerol as the sole carbon source. A series of single-factor experiments were conducted to...
Polysaccharides, Bacterial Glycerol Sphingomonas Kinetics Fermentation Molecular Weight Machine Learning Carbon Neural Networks, Computer
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Enhanced nitrogen prediction and mechanistic process analysis in high-salinity wastewater treatment using interpretable machine learning approach.

Bioresource technology Mar 11, 2025
This study introduces an interpretable machine learning framework to predict nitrogen removal in membrane bioreactor (MBR) treating high-salinity wastewater. By integrating Shapley additive explanations (SHAP) with Categorical Boosting (CatBoost), we...
Salinity Nitrogen Machine Learning Carbon Hydrogen-Ion Concentration Bioreactors Wastewater Biological Oxygen Demand Analysis Water Purification
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