Vol. 1 No. 7 (2026), Articles
Vol. 1 No. 7 (2026)

EARLY PREDICTION OF FLOODS AND MUDFLOWS USING ARTIFICIAL INTELLIGENCE

Articles
Published 2026-07-07
Boboqulov Ozodbek
Academy of the Ministry of Emergency Situations
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Keywords

artificial intelligence, flood, mudflow, machine learning, neural networks, hydrological monitoring, prediction, emergency situations.

How to Cite

Boboqulov Ozodbek. (2026). EARLY PREDICTION OF FLOODS AND MUDFLOWS USING ARTIFICIAL INTELLIGENCE. Journal of Technology and Innovative Research, 1(7), 21-29. https://innopublication.com/index.php/jtir/article/view/930
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Abstract

This article examines the use of artificial intelligence technologies for the early prediction of floods and mudflows. Due to climate change, increasing precipitation, and the growing complexity of hydrological processes, the number of water-related emergencies continues to rise. During the study, a prediction model was developed based on machine learning algorithms, neural networks, and meteorological data. The proposed model analyzes factors such as precipitation, river water levels, soil moisture, and air temperature to predict the likelihood of floods and mudflows before they occur. The research findings demonstrate that the application of artificial intelligence technologies contributes to preventing emergency situations and improving the effectiveness of timely public warning systems.

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