Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)

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Advances in Natural Hazard Prediction Modeling Based on Artificial Intelligence Vision

Authors
Zihuai Xiong1, *
1Mingde Huaxing Middle School, Changsha, 410005, China
*Corresponding author. Email: ouren@wejoyedu.cn
Corresponding Author
Zihuai Xiong
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-821-9_73How to use a DOI?
Keywords
Artificial Intelligence Vision; Natural Hazards Early Warning Models; Research Progress; Challenges; Development Direction
Abstract

The frequent occurrence of natural disasters has seriously affected human survival and development. As well as the rapid development of artificial intelligence vision technology provides a new solution to solve the natural disaster challenges. This paper systematically reviews the progress of research on artificial intelligence vision technology in natural disaster prediction. Firstly, the limitations of traditional prediction methods in the context of frequent occurrence of natural disasters around the world are described, leading to the new solutions brought by AI vision technology; then the efficacy of mainstream technology models in different disaster scenarios is sorted out, comparing the performance boundaries and limitations of different models; and then the multiple challenges faced by the current research are analyzed. Finally, we put forward targeted suggestions from the dimensions of technology optimization, interdisciplinary collaboration, and policy governance, aiming to help global disaster governance to move towards a higher level of intelligence and synergy.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
Series
Advances in Engineering Research
Publication Date
31 August 2025
ISBN
978-94-6463-821-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-821-9_73How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zihuai Xiong
PY  - 2025
DA  - 2025/08/31
TI  - Advances in Natural Hazard Prediction Modeling Based on Artificial Intelligence Vision
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 756
EP  - 764
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_73
DO  - 10.2991/978-94-6463-821-9_73
ID  - Xiong2025
ER  -