Predicting Atmospheric Dispersion of Industrial Chemicals Using Machine Learning Approaches

Predicting Atmospheric Dispersion of Industrial Chemicals Using Machine Learning Approaches

This study presents an intelligent framework for assessing atmospheric dispersion in industrial accident scenarios involving chemical substances. The research focuses on modeling the dispersion of key chemicals, such as chlorine, methanol, and propane, under various accident conditions, including le...

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Bibliographic Details
Main Authors: Maria Valle, Jairo A. Cardona, Cesar Viloria-Nunez, Christian G. Quintero M.
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Atmospheric dispersion
intelligent prediction
industrial emergencies
technological risks
machine learning models
Online Access:https://ieeexplore.ieee.org/document/10925212/
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https://ieeexplore.ieee.org/document/10925212/

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