Source Analysis of Ozone Pollution in Liaoyuan City’s Atmosphere Based on Machine Learning Models and HYSPLIT Clustering Method

Source Analysis of Ozone Pollution in Liaoyuan City’s Atmosphere Based on Machine Learning Models and HYSPLIT Clustering Method

Firstly, this study investigates the spatiotemporal distribution characteristics of the ozone (O<sub>3</sub>) pollution in Liaoyuan City using monitoring data from 2015 to 2024. Then, three machine learning models (ML)—random forest (RF), support vector machine (SVM), and artificial neur...

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Bibliographic Details
Main Authors: Xinyu Zou, Xinlong Li, Dali Wang, Ju Wang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Toxics
Subjects:
ozone pollution
machine learning
random forest
regional transport
HYSPLIT clustering
Online Access:https://www.mdpi.com/2305-6304/13/6/500
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