Can China reach the CO
CO2 emission peak prediction
Grey prediction model
IPCC
Rolling mechanism
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
21 Nov 2023
21 Nov 2023
Historique:
received:
07
06
2023
accepted:
28
10
2023
medline:
21
11
2023
pubmed:
21
11
2023
entrez:
21
11
2023
Statut:
aheadofprint
Résumé
With the continuous emission of greenhouse gases, climate issues such as global warming have attracted widespread attention. As the largest CO
Identifiants
pubmed: 37987978
doi: 10.1007/s11356-023-30812-1
pii: 10.1007/s11356-023-30812-1
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : the Natural Science Foundation of China
ID : 22162007
Organisme : the Science and Technology Supporting Project of Guizhou Province
ID : [2021]480
Organisme : the Science and Technology Supporting Project of Guizhou Province
ID : [2023]379
Organisme : the Wengfu (Group) Co., Ltd. Technology Development Project
ID : WH-220787(YF)
Organisme : Project from Guizhou Institute of Innovation and development of dual-carbon and new energy technologies
ID : DCRE-2023-05
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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