Predictive machine learning and geospatial modeling reveal PM10 hotspots and guide targeted air pollution interventions in Addis Ababa, Ethiopia

Abstract Air pollution is a critical twenty-first century environmental and public health challenge that is linked to millions of deaths and ecological harm. Accurate prediction of pollutants such as PM10 is vital for mitigation and urban sustainability. This study combines geospatial modeling with...

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Autors principals:	Kalid Hassen Yasin, Muaz Ismael Yasin, Anteneh Derribew Iguala, Tadele Bedo Gelete, Diriba Tulu, Erana Kebede
Format:	Artigo
Idioma:	Inglês
Publicat:	Springer 2025-03-01
Col·lecció:	Discover Applied Sciences
Matèries:	Air quality Atmospheric pollution Particulate matter Public health Remote sensing
Accés en línia:	https://doi.org/10.1007/s42452-025-06723-w
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