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Author

M. Sani

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Open access Aug 2026

Machine Learning-Based Estimation of Surface PM2.5 in Nigeria Using Integration of Satellite, Ground Observations and Reanalysis Data

It is demonstrated that multi-source machine learning data fusion substantially improves surface PM2.5 estimation over Nigeria with scalable framework and identifies relative humidity as the dominant predictor, followed by MERRA-2 PM2.5.

M. Sani, Anass Houdou, R. Sa'id · 0 citations
Open access Aug 2026

Model Estimation of Ground-based PM2.5 Concentration Over Nigeria and Its Assessment Using MERRA-2 Reanalysis

Accurate estimation of fine particulate matter (PM2.5) remains a major challenge in data-sparse regions such as West Africa because of limited ground-based monitoring networks and highly variable atmospheric conditions. This study evaluated statistical and machine-learning models for predicting ground-level PM2.5 conce...

M. Sani, R. Sa'id · 0 citations

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