Yunjie Wang

TL;DR: Wang et al. as mentioned in this paper analyzed the three-decade progress of air pollution controls in China, highlighting a strategic transformation from emission control toward air quality management with an emphasis on their complex photochemical interactions.

TL;DR: In this paper, a machine learning technique was adopted to analyze the air quality impact of the pandemic of coronavirus disease 2019 (COVID-19) resulted in a stringent lockdown in China to reduce infection rate.

TL;DR: In this article, the authors developed a link-level emissions inventory of vehicular pollutants, called EMBEV-Link, based on multiple datasets extracted from the extensive road traffic monitoring network that covers the entire municipality of Beijing, China.

TL;DR: The results indicate that the implementation of multimodal transportation systems could notably reduce the truck volume along major freight corridors, except for roads adjacent to the planned inland ports, resulting in a drastic reduction in the emission intensity.

TL;DR: Li et al. as discussed by the authors developed high-resolution vehicular NH3 emission inventories for Beijing and Shanghai based on detailed link-level traffic profiles and conducted atmospheric simulations of ambient PM2.5.