Air pollution is a major issue all over the world because of its impacts on the environment
and human beings. The present review discussed the sources and impacts of pollutants on …

Artificial-intelligence tools are transforming data-driven science—better ethical standards
and more robust data curation are needed to fuel the boom and prevent a bust. Components …

Chronic obstructive pulmonary disease (COPD) is an epidemic in China. Ozone is a
possible risk factor of COPD, with ozone concentrations increasing in China, despite air …

The quantity and complexity of environmental data show exponential growth in recent years.
High-quality big data analysis is critical for performing a sophisticated characterization of the …

Understanding the costs and benefits of climate change mitigation and adaptation options is
crucial to justify and prioritize future decarbonization pathways to achieve net zero. Here, we …

Air pollution exposure is a leading public health problem in China. Despite recent air quality
improvements, fine particulate matter (PM 2.5) exposure remains large, the associated …

Anthropogenic emissions and ambient fine particulate matter (PM2. 5) concentrations have
declined in recent years across China. However, PM2. 5 exposure remains high, ozone (O3) …

Ground-level ozone concentrations rebounded significantly across China in 2022,
challenging air quality management and public health. Identifying the drivers of this rebound …

Simulation outputs from chemical transport models (CTMs) are essential to plan effective air
quality policies. A key strength of these models is their ability to separate out source-specific …

Uncertainty quantification during atmospheric chemistry modeling is computationally
expensive as it typically requires a large number of simulations using complex models. As …