Work

Machine learning models application for spatiotemporal patterns of particulate matter prediction and forecasting over Morocco in north of Africa

Year: 2024

Type: article

Source: Atmospheric Pollution Research

DOI: 10.1016/j.apr.2024.102239

Authors: Sbai Salah Eddine, Lalla Btissam Drissi, Nezha Mejjad, Jamal Mabrouki, Aleksey A. Romanov

Institutions: Mohammed V University, Hassan II Academy of Science and Technology, National Centre for Nuclear Energy, Science and Technology, Siberian Federal University

Language: English

Topic: Air Quality Monitoring and Forecasting

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W4399992829

FWCI: 1.37

Cites: 61

Cited by: 13

Related to: 10