Research Journal of Ecology and Environmental Sciences

Volume 3, Number 1, 2023

Open Access December 14, 2022 Endnote/Zotero/Mendeley (RIS) BibTeX

Applying Artificial Intelligence (AI) for Mitigation Climate Change Consequences of the Natural Disasters

Research Journal of Ecology and Environmental Sciences 2023, 3(1), 1-8. DOI: 10.31586/rjees.2022.343
Abstract
Climate change and weather-related disasters are speeded very fast in the last decades with the consequences bringing to humanity: insecurity, destructing the ecological systems, increasing poverty, human victims, and economical losses everywhere on the planet. The innovative methods applied to mitigate the magnitudes of natural disasters and to combat effectively
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Climate change and weather-related disasters are speeded very fast in the last decades with the consequences bringing to humanity: insecurity, destructing the ecological systems, increasing poverty, human victims, and economical losses everywhere on the planet. The innovative methods applied to mitigate the magnitudes of natural disasters and to combat effectively their negative impact consist of remote and earth constantly monitoring, data collection, creation of models for big data extrapolation, prediction, in-time warning for prevention, and others. Artificial intelligence (AI) is used to deal with big data, for calculations, forecasts, predictions of natural disasters in the near future, the establishment of the possibilities to escape the hazards or risky situations, as well as to prepare the human being for adverse changes, and drawing the different choices as assistance the right decision to be accepted. Many projects, programs, and frameworks are adopted and carried out the separate governments and business makers to common goals and actions for the formation of a friendly environment and measures for reducing undesired climate alterations and cataclysms. The aim of the article is to review the last programs and innovations applied in the mitigation of climate change using AI.Full article
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ISSN: 2770-5536
DOI prefix: 10.31586/rjees
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