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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentificadorJ8LNKAN8RW/36KNR8C
Repositóriodpi.inpe.br/plutao@80/2009/12.22.15.40.13   (acesso restrito)
Última Atualização2010:09.15.14.39.08 (UTC) marciana
Repositório de Metadadosdpi.inpe.br/plutao@80/2009/12.22.15.40.14
Última Atualização dos Metadados2018:06.05.00.12.59 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.1016/j.ecolmodel.2009.06.003
ISSN0304-3800
Rótulolattes: 5421394642444587 2 CaetanoGherRibeYone:2009:ReCOEm
Chave de CitaçãoCaetanoGherRibeYone:2009:ReCOEm
TítuloReduction of CO2 emission by optimally tracking a pre-defined target
Ano2009
MêsOct
Data de Acesso12 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1097 KiB
2. Contextualização
Autor1 Caetano, Marco Antonio Leonel
2 Gherardi, Douglas Francisco Marcolino
3 Ribeiro, Gustavo de Paula
4 Yoneyama, Takashi
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JGU3
Grupo1
2 DSR-OBT-INPE-MCT-BR
Afiliação1 INSPER, Instituto de Ensino e Pesquisa, São Paulo, Brazil
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 NSPER, Instituto de Ensino e Pesquisa, São Paulo, Brazi
4 ITA, Instituto Tecnológico de Aeronáutica, São José dos Campos, Brazil
Endereço de e-Mail do Autor1
2 douglas@dsr.inpe.br
Endereço de e-Maildouglas@dsr.inpe.br
RevistaEcological Modelling
Volume220
Número19
Páginas2536-2542
Nota SecundáriaA2_CIÊNCIA_DE_ALIMENTOS A1_CIÊNCIAS_BIOLÓGICAS_I A2_ECOLOGIA_E_MEIO_AMBIENTE A2_ENGENHARIAS_II A1_ENGENHARIAS_III B1_ENGENHARIAS_IV A2_GEOCIÊNCIAS A1_INTERDISCIPLINAR A2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA
Histórico (UTC)2009-12-23 14:00:51 :: lattes -> marciana ::
2011-11-03 12:14:33 :: marciana -> administrator :: 2009
2016-06-04 01:08:40 :: administrator -> marciana :: 2009
2016-10-04 14:42:24 :: marciana -> administrator :: 2009
2018-06-05 00:12:59 :: administrator -> marciana :: 2009
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveCarbon abatement
Clean technologies
Climate policy
Dynamic relation
Emission targets
European Countries
Financial crisis
Global scale
KYOTO protocol
Policy makers
Simulation
Carbon dioxide
Carbon monoxide
Economics
Emission control
Global warming
Greenhouse effect
Greenhouse gases
Greenhouses
Investments
Reforestation
Resource allocation
Revegetation
Simulators
Targets
Mathematical models
carbon dioxide
carbon emission
cleaner production
environmental policy
financial crisis
global economy
global warming
greenhouse gas
investment
Kyoto Protocol
numerical model
policy making
reforestation
Eurasia
Europe
ResumoThe recent global financial crisis has highlighted the need for balanced and efficient investments in the reduction of the greenhouse effect caused by emissions of CO2 on a global scale. In a previous paper, the authors proposed a mathematical model describing the dynamic relation of CO2 emission with investment in reforestation and clean technology. An efficient allocation of resources to reduce the greenhouse effect has also been proposed. Here, this model is used to provide estimates of the investments needed in land reforestation and in the adoption of clean technologies for an optimum emission and abatement of CO2, for the period of 19962014. The required investments are computed to minimize deviations with respect to the emission targets proposed in the Kyoto Protocol for European Countries. The emission target can be achieved by 2014 with investments in reforestation peaking in 2004, and a reduction of the expected GDP of 42%, relative to 2006. Investments in clean technology should increase between 2008 and 2010 with maximum transfer figures around 70 million American dollars. Total (cumulative) costs are, however, relatively high depending on the price of carbon abatement and the rate at which the expected CO2 concentration in the atmosphere should be reduced. Results highlight the advantages for policy makers to be able to manage investments in climate policy more efficiently, controlling optimum transfers based on a portfolio of actions that tracks a pre-defined CO2 concentration target.
ÁreaSRE
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Conteúdo da Pasta sourcenão têm arquivos
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvoduglas.pdf
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Grupo de Leitoresadministrator
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Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
DivulgaçãoWEBSCI
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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