Crossmark

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

Crossref DOI link: https://doi.org/10.1007/s42452-025-06723-w

Published Online: 2025-03-26

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Yasin, Kalid Hassen https://orcid.org/0000-0001-6231-1312
Yasin, Muaz Ismael https://orcid.org/0009-0007-7795-0951
Iguala, Anteneh Derribew https://orcid.org/0000-0002-9724-409X
Gelete, Tadele Bedo https://orcid.org/0000-0001-5344-2580
Tulu, Diriba https://orcid.org/0000-0002-6027-3188
Kebede, Erana https://orcid.org/0000-0002-3584-6757
License Information

Text and Data Mining valid from 2025-03-26

Version of Record valid from 2025-03-26
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Article History

Received: 23 December 2024

Accepted: 13 March 2025

First Online: 26 March 2025

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare no competing interests.