Abstract Ground-level ozone (O 3), fine particles (PM 2.5), and nitrogen dioxide (NO 2) are
the most harmful urban air pollutants regarding human health effects. Here, we aimed at …

South Asia, a develo** region housing almost a quarter of the world population, faces
stringent energy and environmental problems including acute vulnerability to climate …

Exposure to outdoor fine particulate matter (PM2. 5) is a leading risk factor for mortality. We
develop global estimates of annual PM2. 5 concentrations and trends for 1998–2018 using …

This paper describes the latest version of the algorithm MAIAC used for processing the
MODIS Collection 6 data record. Since initial publication in 2011–2012, MAIAC has …

To determine the heavy metal contamination of agricultural soil in the Hexi Corridor, 376 soil
samples were collected and analyzed for their heavy metal content. The geochemical …

The study aimed to assess the human health risk of PM 2.5-bound heavy metals from
anthropogenic sources in Khon Kaen Province, Thailand between December 2020 and …

Abstract The Multiangle Implementation of Atmospheric Correction (MAIAC) is a new generic
algorithm applied to collection 6 (C6) MODIS measurements to retrieve Aerosol Optical …

With the economic development in China, haze risks are frequent. It is important to study the
urban haze risk assessment to manage the haze disaster. The haze risk assessment …

Introduction: Worsening air quality and pollution lead to numerous environmental health and
sustainability issues in the South Asia region. This study analyzes India, Nepal, Bangladesh …

Abstract Particulate matter 2.5 (PM 2.5) pollution has long been a global environmental
problem and still poses a great threat to public health. This study investigates global …