Air pollution has become one of the critical environmental problem in the 21st century and
has attracted worldwide attentions. To mitigate it, many researchers have investigated the …

Air pollution is a significant global environmental issue. Nevertheless, the importance of
rational urban planning in mitigating it is frequently disregarded. Conducting air quality …

The prediction of the band gap of semiconductor materials using machine learning has
gradually progressed in recent years. However, the performance of such prediction still …

Abstract In summer, Ozone (O 3) pollution and urban heat island (UHI) pose serious health
risks to humans. To obtain the spatial distributions of ozone and urban heat island in Xi'an in …

Meteorology, human activities, and other emission sources drive diurnal cyclic patterns of air
pollution. Previous studies mainly focused on the variation of PM 2.5 concentrations during …

Understanding the relationship between atmospheric visibility and aerosol emission sources
and identifying the key drivers of visibility have significant implications for the radiative …

As the fine particulate matter (PM 2.5) polluting seriously threat people's health, exploring its
mitigation strategies has become an urgent issue to be studied. Urban land use, the carrier …

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

Abstract This study incorporates Light Gradient Boosting Machine (LightGBM) to a land use
regression (LUR) model for estimating NO 2 and PM 2.5 levels. The predictions were …

It is generally established that PCDD/Fs is harmful to human health and therefore extensive
field research is necessary. This study is the first to use a novel geospatial-artificial …