Thirty-Year Variability and Meteorological Controls of PM2.5 over Bengaluru, India (1995–2025): Evidence from MERRA-2 Reanalysis

Spatiotemporal analysis of atmospheric methane over Kazakhstan using Sentinel-5P satellite observations between 2019–2024

Methane (CH 4 ) is a potent greenhouse gas whose short-term radiative forcing significantly exceeds that of CO 2 , poses significant risks for regions with intensive hydrocarbon production, such as Kazakhstan.This study provides a country-wide spatiotemporal assessment of methane concentrations over Kazakhstan fo...

Spatiotemporal Variations and Trends in Tropospheric NO2 over Chongqing, a Mountainous Megacity in Southwest China, Based on Sentinel-5P TROPOMI Observations (2019–2024)

Nitrogen dioxide (NO2) drives ozone and secondary aerosol formation and harms human health. Chongqing, a mountainous megacity of 32 million people, lacks a fine-scale satellite assessment of its NO2 evolution. We analyzed tropospheric NO2 vertical column density (VCD) over Chongqing for 2019–2024. The analysis used Sen...

Mapping seasonal PM2.5 distribution in Novi Sad: From sensor-based observations to land use regression modelling

Air pollution in Serbia is characterized by pronounced seasonal variability, with the heating period representing the most critical phase in terms of fine particulate matter (PM2.5). Understanding both short-term dynamics and the spatial distribution of PM2.5 in urban environments remains a key challenge. This study fo...

Evaluating regional and seasonal variations of PM2.5 and O3 across Malaysia using XGBoost and SHAP-based interpretability.

Evaluating regional and seasonal air pollution variability is essential for monitoring tropical environments. This study evaluated regional and seasonal variations in fine particulate matter (PM2.5) and ground-level ozone (O3) across five regions of Malaysia using daily atmospheric and meteorological observations from...

Daily 1 km satellite-based PM2.5 exposure estimates in Bangladesh, 2020-2025: spatiotemporal patterns and implications for environmental health.

Bangladesh experiences some of the highest ambient PM2.5 concentrations globally and remains one of the most monitoring-sparse high-burden regions. To address this gap, we developed daily 1 km PM2.5 exposure estimates for Bangladesh from January 1, 2020, to January 31, 2025 by integrating satellite observations, reanal...

Climate variability and its implications for water resources in Gauteng, South Africa (1984–2050) based on NASA POWER (MERRA-2) observations and CMIP6 SSP2-4.5 projections