AIMC Topic: Climate Change
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Machine learning and CORDEX-Africa regional model for assessing the impact of climate change on the Gilgel Gibe Watershed, Ethiopia.
Journal of environmental management
Jun 9, 2024
Climate change is one of the most pressing challenges of our time, profoundly impacting global water resources and sustainability. This study aimed to predict the long-term effects of climate change on the Gilgel Gibe watershed by integrating machine...
Investigating the effect of climate factors on fig production efficiency with machine learning approach.
Journal of the science of food and agriculture
May 31, 2024
BACKGROUND: This study employs a machine learning approach to investigate the impact of climate change on fig production in Turkey. The eXtreme Gradient Boosting (XGBoost) algorithm is used to analyze production performance and climate variable data ...
Development and application of machine learning models for prediction of soil available cadmium based on soil properties and climate features.
Environmental pollution (Barking, Essex : 1987)
May 10, 2024
Identifying the key influencing factors in soil available cadmium (Cd) is crucial for preventing the Cd accumulation in the food chain. However, current experimental methods and traditional prediction models for assessing available Cd are time-consum...
An evaluative technique for drought impact on variation in agricultural LULC using remote sensing and machine learning.
Environmental monitoring and assessment
May 6, 2024
Drought events threaten freshwater reservoirs and agricultural productivity, particularly in semi-arid regions characterized by erratic rainfall. This study evaluates a novel technique for assessing the impact of drought on LULC variations in the con...
Using AI to help address skin health challenges caused by climate change.
International journal of dermatology
May 4, 2024
Predicting carbon dioxide emissions in the United States of America using machine learning algorithms.
Environmental science and pollution research international
Apr 30, 2024
Carbon dioxide (CO) emissions result from human activities like burning fossil fuels. CO is a greenhouse gas, contributing to global warming and climate change. Efforts to reduce CO emissions include transitioning to renewable energy. Monitoring and ...
Quantifying the scale of erosion along major coastal aquifers of Pakistan using geospatial and machine learning approaches.
Environmental science and pollution research international
Apr 25, 2024
Insufficient freshwater recharge and climate change resulted in seawater intrusion in most of the coastal aquifers in Pakistan. Coastal aquifers represent diverse landcover types with varying spectral properties, making it challenging to extract info...
Transportation infrastructure upgrading and green development efficiency: Empirical analysis with double machine learning method.
Journal of environmental management
Apr 23, 2024
In order to deal with the environmental problems such as pollution emissions and climate change, sustainable development in the field of transportation has gradually become a hot topic to all sectors of society. In addition, promoting the green and l...
Illuminating patterns of firefly abundance using citizen science data and machine learning models.
The Science of the total environment
Apr 10, 2024
As insect populations decline in many regions, conservation biologists are increasingly tasked with identifying factors that threaten insect species and developing effective strategies for their conservation. One insect group of global conservation c...
SegX-Net: A novel image segmentation approach for contrail detection using deep learning.
PloS one
Mar 5, 2024
Contrails are line-shaped clouds formed in the exhaust of aircraft engines that significantly contribute to global warming. This paper confidently proposes integrating advanced image segmentation techniques to identify and monitor aircraft contrails ...
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