AIMC Topic: Climate Change
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Leveraging explainable AI to predict soil respiration sensitivity and its drivers for climate change mitigation.
Scientific reports
Apr 11, 2025
Global warming is one of the most pressing and critical problems facing the world today. It is mainly caused by the increase in greenhouse gases in the atmosphere, such as carbon dioxide (CO). Understanding how soils respond to rising temperatures is...
A coupled machine-learning and sensitivity analysis framework to link dust activity in the Tigris-Euphrates basin to climatic and human-induced drivers.
Environmental research
Apr 9, 2025
This study analyzes the impact of climate-related stressors and water resources development in the Tigris-Euphrates basin on regional dust storm intensity and frequency. To this end, we first utilize remote sensing data on Aerosol Optical Depth (AOD)...
Predictive modeling of climate change impacts using Artificial Intelligence: a review for equitable governance and sustainable outcome.
Environmental science and pollution research international
Apr 4, 2025
The accelerating pace of climate change poses unprecedented challenges to global ecosystems and human societies. In response, this study reviews the power of Artificial Intelligence (AI) to develop advanced predictive models for assessing the multifa...
Resilience response of China's terrestrial ecosystem gross primary productivity under environmental stress.
Environmental research
Apr 3, 2025
Climate change perturbations contribute to the alteration of ecosystem functions and the reduction of their resilience. Understanding this reduction in resilience is fundamental for formulating strategies for sustainable ecosystem management. Consequ...
U-shaped deep learning networks for algal bloom detection using Sentinel-2 imagery: Exploring model performance and transferability.
Journal of environmental management
Apr 3, 2025
Inland water sources, such as lakes, support diverse ecosystems and provide essential services to human societies. However, these valuable resources are under increasing pressure from rapid climate changes and pollution resulting from human activitie...
AI models uncover factors influencing scorpionism in Northern Brazil.
Toxicon : official journal of the International Society on Toxinology
Apr 3, 2025
Envenomation by scorpion stings is a serious public health problem in tropical regions of the world. In Brazil's Northern region, there has been a significant increase in cases over the last decade, accompanied by a rise in the fatality rate. Climate...
Assessing climate change and human impacts on runoff and hydrological droughts in the Yellow River Basin using a machine learning-enhanced hydrological modeling approach.
Journal of environmental management
Mar 26, 2025
Analyzing the impacts of climate change (CC) and human activities (HA) on hydrological events is important for water resource management. This study quantifies the impacts of CC and HA on runoff and hydrological drought characteristics (HDC) in the Y...
Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning.
Geospatial health
Mar 26, 2025
INTRODUCTION: Chronic Obstructive Pulmonary Disease (COPD) mortality rates and global warming have been in the focus of scientists and policymakers in the past decade. The long-term shifts in temperature and weather patterns, commonly referred to as ...
Cluster-based downscaling of precipitation using Kolmogorov-Arnold Neural Networks and CMIP6 models: Insights from Oman.
Journal of environmental management
Mar 20, 2025
Accurate precipitation predictions are crucial for addressing climate change impacts on water resources, especially in arid regions like Oman. Therefore, this study evaluates three machine learning models-Random Forest (RF), Multilayer Perceptron Neu...
Uncovering water conservation patterns in semi-arid regions through hydrological simulation and deep learning.
PloS one
Mar 20, 2025
Under the increasing pressure of global climate change, water conservation (WC) in semi-arid regions is experiencing unprecedented levels of stress. WC involves complex, nonlinear interactions among ecosystem components like vegetation, soil structur...
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