Air pollution over China has attracted wide interest from public and academic community.
PM 2.5 is the primary air pollutant across China. Quantifying interactions between …

Abstract Machine learning models based on satellite remote sensing have gained
widespread use in estimating ground-level air pollutant concentrations, which overcome the …

Tropospheric ozone (O 3) has increased globally since the end of 20th century. Its formation
undergoes complicated photochemical reactions and processes in the lower boundary …

This study develops an augmented geographically weighted regression (GWR) model to
analyze the spatial distribution of PM 2.5 concentrations through the incorporation of …

Volatile organic compounds (VOCs) are easily degraded by oxidants during atmospheric
transport. Therefore, the contribution of VOCs to ozone (O 3) and secondary organic aerosol …

This paper employs the slack-based measure method and an extended Luenberger
productivity indicator to estimate and decompose the atmospheric environmental …

Global urbanization is exerting severe stress and having far-reaching impacts on the eco-
environment, and yet there exists a complex non-linear coupling relationship between the …

Meteorological conditions within the planetary boundary layer (PBL) are closely governed
by large-scale synoptic patterns and play important roles in air quality by directly and …

Climate change is causing the surface temperature to rise and the extreme weather events
to increase in frequency and intensity, which will pose potential threats to the survival and …

Air pollution is an important matter for local authorities in Bogotá (Colombia), with PM 10 and
PM 2.5 being the most serious air pollutants in the city. In the present study, data mining …