Machine learning models application for spatiotemporal patterns of particulate matter prediction and forecasting over Morocco in north of Africa-Reference-Cited by-同舟云学术

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

Published:2024-09 Issue:9 Volume:15 Page:102239
ISSN:1309-1042
Container-title:Atmospheric Pollution Research
language:en
Short-container-title:Atmospheric Pollution Research

Author:

Salah Eddine Sbai^ORCID,Drissi Lalla Btissam^ORCID,Mejjad Nezha^ORCID,Mabrouki Jamal^ORCID,Romanov Aleksey A.^ORCID

Publisher

Elsevier BV

Reference66 articles.

1. Aerosol chemistry resolved by mass spectrometry: insights into particle growth after ambient new particle formation;Alexander;Environ. Sci. Technol.,2016

2. Black carbon or brown carbon? The nature of light-absorbing carbonaceous aerosols;Andreae;Atmos.Chem. and Phy.,2006

3. Atmospheric degradation of volatile organic compounds;Atkinson;Chem Rev,2003

4. Does lockdown reduce air pollution? Evidence from 44 cities in northern China;Bao;Sci. Total Environ.,2020

5. Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe–The ESCAPE project;Beelen;Atmo. Environ.,2013

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