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WMO Bulletin shows successful recovery of ozone layer, driven by science World Meteorological Organization WMO

Comprehensive 24-hour ground-level ozone monitoring: Leveraging machine learning for full-coverage estimation in East Asia ScienceDirect.com

Comparison of machine learning methods for predicting ground-level ozone pollution in Beijing Frontiers

Bubbleless membrane contactor for enhanced ozone mass transfer and ozonation for water purification ScienceDirect.com

Analysis and prediction of atmospheric ozone concentrations using machine learning Frontiers

Machine Learning-Driven Spatiotemporal Analysis of Ozone Exposure and Health Risks in China AGU Publications

Wednesday Ozone Alert for E. Mass Franklin Observer

Mass. is under an air quality alert. Here's why. NBC Boston

Using machine learning to improve the estimate of U.S. background ozone ScienceDirect.com

Machine learning-based ozone and PM2.5 forecasting: Application to multiple AQS sites in the Pacific Northwest Frontiers

The catalytic oxidation process of atrazine by ozone microbubbles: Bubble formation, ozone mass transfer and hydroxyl radical generation ScienceDirect.com

Machine learning integrated PMF model reveals influencing factors of ozone pollution in a coal chemical industry city at the Jiangsu-Shandong-Henan-Anhui boundary ScienceDirect.com

Predicting ozone formation in petrochemical industrialized Lanzhou city by interpretable ensemble machine learning ScienceDirect.com

Integrated model of ozone mass transfer and oxidation kinetic: Construction, solving and analysis ScienceDirect.com

Can ozone mass transfer in water treatment be enhanced through independent pressurized ozonation? ScienceDirect.com

Hybrid machine learning model for hourly ozone concentrations prediction and exposure risk assessment ScienceDirect.com

Assessing uncertainty and heterogeneity in machine learning-based spatiotemporal ozone prediction in Beijing-Tianjin- Hebei region in China ScienceDirect.com

Application of machine learning to analyze ozone sensitivity to influencing factors: A case study in Nanjing, China ScienceDirect.com

A machine learning model to estimate ground-level ozone concentrations in California using TROPOMI data and high-resolution meteorology ScienceDirect.com

Stratosphere-Troposphere Exchanges of Air Mass and Ozone Concentrations From ERA5 and MERRA2: Annual-Mean Climatology, Seasonal Cycle, and Interannual Variability AGU Publications

Stratosphere-Troposphere Exchanges of Air Mass and Ozone Concentration in the Last Glacial Maximum AGU Publications

Intensification of ozone mass transfer and hydroxyl radical generation in HC-UC/RF coupled system: Promotion and application ScienceDirect.com

Assessing the Significance of Regional Transport in Ozone Pollution through Machine Learning: A Case Study of Hainan Island ACS Publications

Spatiotemporal variations of air pollutants and ozone prediction using machine learning algorithms in the Beijing-Tianjin-Hebei region from 2014 to 2021 ScienceDirect.com

Changes in Stratosphere-Troposphere Exchange of Air Mass and Ozone Concentration in CCMI Models From 1960 to 2099 AGU Publications

Machine learning coupled structure mining method visualizes the impact of multiple drivers on ambient ozone Nature

Ozone membrane contactor to intensify gas/liquid mass transfer and contaminants of emerging concern oxidation ScienceDirect.com

Enhanced Aerosol Mass in the Tropical Tropopause Layer Linked to Ozone Abundance AGU Publications

Ozone Concentration Estimation and Meteorological Impact Quantification in the Beijing-Tianjin-Hebei Region Based on Machine Learning Models AGU Publications

Machine learning models accurately predict ozone exposure during wildfire events ScienceDirect.com

Evaluation of the Effect of Catalysts on Ozone Mass Transfer and Pollutant Abatement during Laboratory Catalytic Ozonation Experiments: Implications for Practical Water and Wastewater Treatment ACS Publications

Machine learning based quantification of VOC contribution in surface ozone prediction ScienceDirect.com

Flexible Bayesian Ensemble Machine Learning Framework for Predicting Local Ozone Concentrations ACS Publications

Forecasting ground-level ozone concentration levels using machine learning ScienceDirect.com

Hydrodynamic cavitation–impinging stream for enhancing ozone mass transfer and oxidation for wastewater treatment ScienceDirect.com

Development of a high-performance machine learning model to predict ground ozone pollution in typical cities of China ScienceDirect.com

A machine learning approach to analyse ozone concentration in metropolitan area of Lima, Peru Nature

Development of a Machine Learning Approach for Local-Scale Ozone Forecasting: Application to Kennewick, WA Frontiers

Unveiling tropospheric ozone by the traditional atmospheric model and machine learning, and their comparison:A case study in hangzhou, China ScienceDirect.com

Spatio-Temporal Hourly and Daily Ozone Forecasting in China Using a Hybrid Machine Learning Model: Autoencoder and Generative Adversarial Networks AGU Publications

LipidOz enables automated elucidation of lipid carbon–carbon double bond positions from ozone-induced dissociation mass spectrometry data | Communications Chemistry Nature

Volcanism-induced ozone depletion may have contributed to Permian mass extinction, study finds Phys.org

A systematic study of enhanced ozone mass transfer for ultrasonic-assisted PTFE hollow fiber membrane aeration process ScienceDirect.com

Orthogonal Method for Double-Bond Placement via Ozone-Induced Dissociation Mass Spectrometry (OzID-MS) ACS Publications

Copier Ozone Leak Closed Centerville Elementary Patch