Estimating monthly surface ozone using multi-source satellite products in China based on deep forest model
Abstract Surface ozone (O 3), a well-recognized air pollutant, exists in the atmosphere,
which has a detrimental effect on public health and the ecological environment. It is reported …
which has a detrimental effect on public health and the ecological environment. It is reported …
Ozone concentration estimation and meteorological impact quantification in the Beijing‐Tianjin‐Hebei region based on machine learning models
Z Luo, P Lu, Z Chen, R Liu - Earth and Space Science, 2024 - Wiley Online Library
Accurate estimation of ozone (O3) concentrations and quantitative meteorological
contribution are crucial for effective control of O3 pollution. In recent years, there has been a …
contribution are crucial for effective control of O3 pollution. In recent years, there has been a …
[PDF][PDF] Interpretable machine learning approaches for forecasting and predicting air pollution: A systematic review
A Houdou, I El Badisy, K Khomsi, S Andrade - Machine Learning, 2022 - aaqr.org
Query/download date or version of the database Database query/download date or version
of the database must be reported. Or the final dataset (that is, after editing and quality …
of the database must be reported. Or the final dataset (that is, after editing and quality …
Unveiling air pollution patterns in Yemen: a spatial–temporal functional data analysis
MA Hael - Environmental Science and Pollution Research, 2023 - Springer
The application of spatiotemporal functional analysis techniques in environmental pollution
research remains limited. As a result, this paper suggests spatiotemporal functional data …
research remains limited. As a result, this paper suggests spatiotemporal functional data …
Estimation of Near-Ground Ozone with High Spatio-Temporal Resolution in the Yangtze River Delta Region of China Based on a Temporally Ensemble Model
Z Li, H Dong, Z Zhang, L Luo… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Recently, the near-ground ozone pollution has become an important factor restricting
economic development and ecological environment protection. Due to the aging equipment …
economic development and ecological environment protection. Due to the aging equipment …
Evaluation of Machine Learning Models for Ozone Concentration Forecasting in the Metropolitan Valley of Mexico
R Domínguez-García, M Arellano-Vázquez - Applied Sciences, 2024 - mdpi.com
In large and densely populated cities, the concentration of pollutants such as ozone and its
dispersion is related to effects on people's health; therefore, its forecast is of great …
dispersion is related to effects on people's health; therefore, its forecast is of great …
Prediction of Ground-Level Ozone in Bengaluru Using Machine Learning Techniques
T Venuka, KS Khare, MT Nikhil… - 2024 IEEE 9th …, 2024 - ieeexplore.ieee.org
An increase in surface-level ozone concentration is a spiking issue in today's world. Surface
ozone is a secondary polluting agent that forms a mix of primary pollutants, meteorological …
ozone is a secondary polluting agent that forms a mix of primary pollutants, meteorological …