A Hybrid Model for Enhanced Forecasting of PM

CMAQ LSTM PM(2.5) forecast machine learning random forest

Journal

Environmental pollution (Barking, Essex : 1987)
ISSN: 1873-6424
Titre abrégé: Environ Pollut
Pays: England
ID NLM: 8804476

Informations de publication

Date de publication:
28 May 2024
Historique:
received: 27 10 2023
revised: 26 05 2024
accepted: 27 05 2024
medline: 31 5 2024
pubmed: 31 5 2024
entrez: 30 5 2024
Statut: aheadofprint

Résumé

Forecasting concentrations of PM

Identifiants

pubmed: 38815889
pii: S0269-7491(24)00977-1
doi: 10.1016/j.envpol.2024.124263
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

124263

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:

Auteurs

Xiaoxiao Feng (X)

Institute of Environmental Engineering (IfU), ETH Zürich, Zürich, 8093, Switzerland; Laboratory for Advanced Analytical Technologies, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf 8600, Switzerland.

Xiaole Zhang (X)

Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China.

Stephan Henne (S)

Laboratory for Advanced Analytical Technologies, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf 8600, Switzerland.

Yi-Bo Zhao (YB)

Institute of Environmental Engineering (IfU), ETH Zürich, Zürich, 8093, Switzerland; Laboratory for Advanced Analytical Technologies, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf 8600, Switzerland.

Jie Liu (J)

School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China.

Tse-Lun Chen (TL)

Institute of Environmental Engineering (IfU), ETH Zürich, Zürich, 8093, Switzerland; Laboratory for Advanced Analytical Technologies, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf 8600, Switzerland.

Jing Wang (J)

Institute of Environmental Engineering (IfU), ETH Zürich, Zürich, 8093, Switzerland; Laboratory for Advanced Analytical Technologies, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf 8600, Switzerland. Electronic address: jing.wang@ifu.baug.ethz.ch.

Classifications MeSH