MARATTO

article · Modeling Earth Systems and Environment

Modelling spatiotemporal concentrations of PM2.5 over Nigerian cities using machine learning algorithms and open-source data

20246 citationsUniversity of Ilorin

In plain language

No abstract is available for this record, so no summary has been generated.

Research topics

  • Air Quality Monitoring and Forecasting
  • Impact of Light on Environment and Health
  • Air Quality and Health Impacts

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1007/s40808-024-02192-z

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.