With the development and improvement of optimization algorithms, machine learning
models have become more important in air quality prediction. These models can be used to …

Abstract Ground-level ozone (O 3) is a pollutant with a great impact on human health and
the environment. As a secondary air contaminant of photochemical origin, those areas with …

This study analyzed the increase in the surface ozone over Beijing-Tianjin-Hebei (BTH) and
its surrounding areas during the period of 2005–2018 using satellite-retrieved data. First, a …

In recent years, ground-level ozone (O 3) pollution has increasingly impacted both climate
and human health in China. This study used the Bayesian space-time hierarchy model to …

Abstract Ground-level ozone (O 3) pollution has become an increasingly prominent
environmental problem in China and India, causing serious negative health effects. Based …

Many studies have reported that exposure to ambient air pollution has adverse effects on
health. However, there are little researches to explore the relationship between ambient air …

Globally, gas flaring caused 350 million tonnes of CO 2 emissions in 2018. In addition to
climate change, this burning practice also has other negative consequences for humans (eg …

Chemical boundary conditions (BCs) are important inputs for regional chemical transport
models. In this study, we use the brute-force method (BFM), process analysis (PA) and …

China's industrial restructuring and pollution controls have altered the contributions of
individual sources to varying air quality over the past decade. We used the GEOS-Chem …

Ozone has become the primary air pollutant in the subtropical regions (ie, Guangzhou,
China). This significantly hinders the sustainable development of cities. The purpose of this …