Delhi’s urban form shapes PM2.5 differently across scales, study finds
A multiscale modelling study links Delhi’s changing urban form with spatially variable PM2.5 patterns and finds stronger explanatory performance than ...
A multiscale modelling study links Delhi’s changing urban form with spatially variable PM2.5 patterns and finds stronger explanatory performance than ...
A study using 2013–2023 data from three aggregated Tabriz monitoring stations found that boosting models performed best for short-term forecasts, ...
An interpretable machine-learning study of hourly ozone at one Wuhan monitoring site from 2019–2025 found strong short-term persistence and a ...
Jaroslav Fous's Diamond Dust Sky Eye took the Grand Prize in the 2026 AMS Photo Contest, which drew 1,075 photographers ...
A new cloud-edge AI framework called SMWPF combines a lightweight edge predictor with a Qwen-based cloud model to cut wind ...
A systematic review of 190 studies finds that integrated geospatial, meteorological, hydrological and AI-based approaches are transforming flood risk assessment, ...
A hybrid feature selection framework combining correlation analysis, PCA, neural sensitivity testing, and SHAP/LIME explainability reveals that average battery voltage ...
A seven-year study of springtime PM2.5 in Riyadh reveals severe pollution peaks, persistent hotspots in the city's south and center, ...
An eight-year analysis of in situ measurements across India shows particulate pollution declining over much of the Indo-Gangetic Plain while ...
Researchers at the University of Bonn have developed a spatial Bayesian hierarchical extreme value model that calibrates wind gusts from ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine