Deep Learning Models Forecast Multi-Horizon Ozone Trends in Megacity Shanghai
Researchers evaluated six deep learning architectures across forecast horizons up to 60 days, identifying horizon-dependent models for urban ozone prediction ...
Researchers evaluated six deep learning architectures across forecast horizons up to 60 days, identifying horizon-dependent models for urban ozone prediction ...
Atmospheric modeling reveals that regional transport and four major precursor emissions account for the vast majority of Hanoi's fine particulate ...
A cross-sectional study in Accra, Ghana, revealed that informal roadside traffic workers face substantial non-carcinogenic health risks from ambient fine ...
An observational evaluation combining satellite retrievals and atmospheric reanalysis across Tunisia found that strict pandemic lockdowns substantially reduced primary industrial ...
Researchers coupled an extended gradient boosting model with an improved grasshopper optimization algorithm to predict hourly PM2.5 concentrations across 26 ...
A newly developed satellite-driven intelligence platform reveals that nitrogen dioxide exposure across West Africa concentrates heavily along the Gulf of ...
A winter field study in Turin shows that simple linear regression provides more stable air quality sensor calibrations than complex ...
A descriptive study of CPCB data from seven Indian cities found lockdown AQI declines of 17 to 53 percent, steep ...
A yearlong study of Tehran's air found that submicron PM0.4 particles peak in warm months, correlate strongly with temperature, and ...
A wintertime street canyon study in central Helsinki shows that fleet emissions of ultrafine particles, nitrogen oxides and particulate matter ...
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© 2026 Scienmag - Science Magazine