Ozone (O3) in the troposphere is an air pollutant and a greenhouse gas. In mainland China,
after the Air Pollution Prevention and Action Plan was implemented in 2013—and despite …

Ozone concentration Monitoring is essential to atmospheric pollution prevention and control.
Against the background of severe ozone pollution over China in recent years, a …

Hybrid Climate Forecasting: Variational Mode Decomposition and Convolutional Neural
Network with Long-Term Short Memory Page 1 Pol. J. Environ. Stud. Vol. 33, No. 2 (2024) …

High ozone concentrations have adverse effects on human health and ecosystems. In recent
years, the ambient ozone concentration in China has shown an upward trend, and high …

River system is critical for the future sustainability of our planet but is always under the
pressure of food, water and energy demands. Recent advances in machine learning bring a …

The short-term risks associated with atmospheric trace gases, particularly carbon monoxide
(CO), are critical for ecological security and human health. Traditional statistical methods …

The observed radiation data from the second-generation Hyperspectral Infrared
Atmospheric Sounder (HIRAS-II) on the Fengyun-3E (FY-3E) satellite contain useful vertical …

In recent years, the escalating ozone (O 3) concentration has significantly damaged human
health. The machine learning models are widely used to estimate ground-level O 3 …

Prediction of ionospheric parameters, such as ionospheric F2 layer critical frequency (foF2)
at low latitude regions is of significant interest in understanding ionospheric variation effects …

Given the significant environmental and health risks associated with near-surface nitrogen
dioxide (NO2), machine learning is frequently employed to estimate near-surface NO2 …