AIMC Topic: Climate Change

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Predicting the influence of extreme temperatures on grain production in the Middle-Lower Yangtze Plains using a spatially-aware deep learning model.

PeerJ Oct 18, 2024
Grain crops are vulnerable to anthropogenic climate change and extreme temperature events. Despite this, previous studies have often neglected the impact of the spatio-temporal distribution of extreme temperature events on regional grain outputs. Thi...
Edible Grain Deep Learning Climate Change China Crops, Agricultural
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Hypoxia extreme events in a changing climate: Machine learning methods and deterministic simulations for future scenarios development in the Venice Lagoon.

Marine pollution bulletin Oct 3, 2024
Climate change pressures include the dissolved oxygen decline that in lagoon ecosystems can lead to hypoxia, i.e. low dissolved oxygen concentrations, which have consequences to ecosystem functioning including biogeochemical cycling from mild to seve...
Ecosystem Models, Theoretical Environmental Monitoring Machine Learning Water Quality Climate Change Seawater Italy Seasons Oxygen
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Beach nourishment for coastal aquifersimpacted by climate change and population growth using machine learning approaches.

Journal of environmental management Sep 26, 2024
Groundwater in coastal regions is threatened by saltwater intrusion (SWI). Beach nourishment is used in this study to manage SWI in the Biscayne aquifer, Florida, USA, using a 3D SEAWAT model nourishment considering the future sea level rise and fres...
Florida Groundwater Population Growth Support Vector Machine Neural Networks, Computer Climate Change Machine Learning
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Leveraging machine learning algorithms in dynamic modeling of urban expansion, surface heat islands, and carbon storage for sustainable environmental management in coastal ecosystems.

Journal of environmental management Sep 20, 2024
Climate change and rapid urbanization are dramatically altering coastal ecosystems worldwide, with significant implications for land surface temperatures (LST) and carbon stock concentration (CSC). This study investigates the impacts of day and night...
Urbanization Carbon Sequestration Climate Change Bangladesh Machine Learning Algorithms Ecosystem Carbon
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Comparison of RNN-LSTM, TFDF and stacking model approach for weather forecasting in Bangladesh using historical data from 1963 to 2022.

PloS one Sep 19, 2024
Forecasting the weather in an area characterized by erratic weather patterns and unpredictable climate change is a challenging endeavour. The weather is classified as a non-linear system since it is influenced by various factors that contribute to cl...
Humidity Neural Networks, Computer Humans Machine Learning Data Mining Decision Trees Forecasting Climate Change Weather Bangladesh
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Unraveling the complex interactions between ozone pollution and agricultural productivity in China's main winter wheat region using an interpretable machine learning framework.

The Science of the total environment Sep 14, 2024
Surface ozone has become a significant atmospheric pollutant in China, exerting a profound impact on crop production and posing a serious threat to food security. Previous studies have extensively explored the physiological mechanisms of ozone damage...
Climate Change Ozone Triticum China Agriculture Air Pollutants Air Pollution Environmental Monitoring Machine Learning
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Applications of Artificial Intelligence for Heat Stress Management in Ruminant Livestock.

Sensors (Basel, Switzerland) Sep 11, 2024
Heat stress impacts ruminant livestock production on varied levels in this alarming climate breakdown scenario. The drastic effects of the global climate change-associated heat stress in ruminant livestock demands constructive evaluation of animal pe...
Animals Livestock Heat Stress Disorders Ruminants Climate Change Artificial Intelligence Machine Learning Algorithms Neural Networks, Computer
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Deep learning models map rapid plant species changes from citizen science and remote sensing data.

Proceedings of the National Academy of Sciences of the United States of America Sep 5, 2024
Anthropogenic habitat destruction and climate change are reshaping the geographic distribution of plants worldwide. However, we are still unable to map species shifts at high spatial, temporal, and taxonomic resolution. Here, we develop a deep learni...
Humans Ecosystem Plants Biodiversity Forests Deep Learning Remote Sensing Technology Conservation of Natural Resources California Citizen Science Wildfires Climate Change
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Addressing pollution challenges for enterprises under diverse extreme climate conditions: artificial intelligence-driven experience and policy support of top Chinese enterprises.

Frontiers in public health Sep 5, 2024
INTRODUCTION: This study investigates the experiences of leading Chinese companies in environmental conservation under varying extreme climate conditions, focusing on the role of artificial intelligence (AI) and governmental assistance.
Conservation of Natural Resources Artificial Intelligence China Surveys and Questionnaires Environmental Pollution Climate Change
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Leveraging experimental and computational tools for advancing carbon capture adsorbents research.

Environmental science and pollution research international Sep 3, 2024
CO emissions have been steadily increasing and have been a major contributor for climate change compelling nations to take decisive action fast. The average global temperature could reach 1.5 °C by 2035 which could cause a significant impact on the e...
Carbon Sequestration Machine Learning Adsorption Carbon Dioxide Climate Change Carbon
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