10 papers analyzed
These studies suggest that artificial intelligence and machine learning play a significant role in predicting, managing, and responding to natural disasters and climate change by enhancing forecasting, situational awareness, risk assessment, early warning systems, and recovery operations.
Artificial intelligence (AI) and machine learning (ML) have emerged as powerful tools in predicting, managing, and responding to natural disasters and climate change. These technologies can process vast amounts of data, identify patterns, and provide actionable insights, thereby enhancing the efficiency and effectiveness of disaster management and climate change mitigation efforts.
Enhanced Disaster Management through AI and ML:
Hydrological Forecasting and Water Resources Management:
Climate Change Analysis and Preparedness:
Big Data Analytics in Disaster Management:
Integration of AI in Various Disaster Management Stages:
Global and Interdisciplinary Efforts:
AI and ML play a pivotal role in enhancing the prediction, management, and response to natural disasters and climate change. These technologies enable more accurate forecasts, efficient resource management, and timely responses to extreme events. By leveraging vast amounts of data and advanced analytical techniques, AI and ML contribute significantly to mitigating the impacts of climate change and improving disaster resilience.
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