Year: 2025
Type: article
Abstract: In the recent century, humans have been using fossil fuels without restraint, causing significant changes in the Earth's atmospheric environment, resulting in increased intensity and frequency of extreme weather/climate events and natural disasters. Natural disasters bring enormous risks and economic losses to human society, and natural disasters are a major challenge that human society have to face. Applying the scientific technology to predict, monitor, evaluate and manage the natural disasters has become a concern for governments, academia, and the general public all over the world. In recent years, the remarkable improvement of science and technology lead to a great concern of the application of machine learning technology of monitoring and managing the natural disasters Based on literature retrieval of professional databases. This article review some research papers related in model algorithms of machine learning, application status and future research directions of machine learning applications in natural disasters such as earthquakes, geological disasters, meteorological disasters.
DOI: 10.54097/zx4yng38
Author: Yuxuan Wang
Institution: Henan University
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4407728175