AIMC Topic: Climate Change

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Soil temperature estimation at different depths using machine learning paradigms based on meteorological data.

Environmental monitoring and assessment Dec 26, 2024
Knowledge of soil temperature (ST) is important for analysing environmental conditions and climate change. Moreover, ST is a vital element of soil that impacts crop growth as well as the germination of the seeds. In this study, four machine-learning ...
Weather Climate Change Temperature Soil Environmental Monitoring Fuzzy Logic India Neural Networks, Computer Machine Learning
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Advancing food security: Rice yield estimation framework using time-series satellite data & machine learning.

PloS one Dec 12, 2024
Timely and accurately estimating rice yields is crucial for supporting food security management, agricultural policy development, and climate change adaptation in rice-producing countries such as Bangladesh. To address this need, this study introduce...
Oryza Food Security Crops, Agricultural Satellite Imagery Climate Change Bangladesh Machine Learning Agriculture
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Investigating the Bromoform Membrane Interactions Using Atomistic Simulations and Machine Learning: Implications for Climate Change Mitigation.

The journal of physical chemistry. B Dec 6, 2024
Methane emissions from livestock contribute to global warming. Seaweeds used as food additive offer a promising emission mitigation strategy because seaweeds are enriched in bromoform─a methanogenesis inhibitor. Therefore, understanding bromoform sto...
Machine Learning Molecular Dynamics Simulation Lipid Bilayers Hydrocarbons, Brominated Trihalomethanes Hydrophobic and Hydrophilic Interactions Climate Change
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Projected response of algal blooms in global lakes to future climatic and land use changes: Machine learning approaches.

Water research Nov 29, 2024
The eutrophication of lakes and the subsequent algal blooms have become significant environmental issues of global concern in recent years. With ongoing global warming and intensifying human activities, water quality trends in lakes worldwide varied ...
Climate Change Lakes Machine Learning Environmental Monitoring Eutrophication Water Quality
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Gross primary productivity estimation through remote sensing and machine learning techniques in the high Andean Region of Ecuador.

International journal of biometeorology Nov 27, 2024
Accurately estimating gross primary productivity (GPP) is crucial for simulating the carbon cycle and addressing the challenges of climate change. However, estimating GPP is challenging due to the absence of direct measurements at scales larger than ...
Seasons Climate Change Ecuador Ecosystem Remote Sensing Technology Machine Learning
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Machine learning estimates on the impacts of detection times on wildfire suppression costs.

PloS one Nov 20, 2024
As climate warming exacerbates wildfire risks, prompt wildfire detection is an essential step in designing an efficient suppression strategy, monitoring wildfire behavior and, when necessary, issuing evacuation orders. In this context, there is incre...
Wildfires Climate Change Time Factors Canada Machine Learning
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A spatial machine learning approach to exploring the impacts of coal mining and ecological restoration on regional ecosystem health.

Environmental research Nov 19, 2024
Ecosystem health is an important approach to measuring urban and regional sustainability. In previous studies, the spatiotemporal changes of ecosystem health have been addressed using comprehensive assessment index system. However, the quantitative c...
Humans Neural Networks, Computer Climate Change China Machine Learning Conservation of Natural Resources Cities Coal Mining Ecosystem
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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. ...
Carbon Dioxide Climate Change Carbon Methane Deep Learning Models, Theoretical Neural Networks, Computer Forecasting
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Comprehensive assessment of cascading dams-induced hydrological alterations in the lancang-mekong river using machine learning technique.

Journal of environmental management Nov 11, 2024
The development of cascading hydropower dams in river basins has significantly altered natural flow regimes in recent decades. This study investigates hydrological alterations caused by cascading hydropower dams in the Lancang-Mekong River Basin (LMR...
Hydrology Rivers Climate Change Machine Learning Environmental Monitoring Humans
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Multi-temporal image analysis of wetland dynamics using machine learning algorithms.

Journal of environmental management Nov 10, 2024
Wetlands play a crucial role in enhancing groundwater quality, mitigating natural hazards, controlling erosion, and providing essential habitats for unique flora and wildlife. Despite their significance, wetlands are facing decline in various global ...
Machine Learning Environmental Monitoring Climate Change Conservation of Natural Resources Algorithms Ecosystem Wetlands Urbanization
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