Spatio-Temporal Prediction of Ground-Level Ozone Concentration Based on Bayesian Maximum Entropy by Combining Monitoring and Satellite Data

Spatio-Temporal Prediction of Ground-Level Ozone Concentration Based on Bayesian Maximum Entropy by Combining Monitoring and Satellite Data

Ozone (O<sub>3</sub>) pollution is one of the predominant environmental problems, and exposure to high O<sub>3</sub> concentrations has a significant negative influence on both human health and ecosystems. Therefore, it is essential to analyze spatio-temporal characteristics...

Full description

Bibliographic Details
Main Authors: Shiwen Xu, Chen Cui, Mei Shan, Yaxin Liu, Zequn Qiao, Li Chen, Zhenxing Ma, Hui Zhang, Shuang Gao, Yanling Sun
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Atmosphere
Subjects:
O<sub>3</sub>
OMI
Bayesian maximum entropy
exposure level
BTH region
Online Access:https://www.mdpi.com/2073-4433/13/10/1568

Internet

https://www.mdpi.com/2073-4433/13/10/1568

Similar Items