The sequestration and storage model of atmospheric carbon dioxide
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/220329 |
Resumo: | Carbon dioxide (CO2) is the most important greenhouse gas. A gradual increase on its atmospheric concentration threatens significantly the climate. One of the main challenges of environment planning is to identify a model that connects all factors that determine the carbon cycle, that is, ocean-terrestrial ecosystem-anthropogenic emissions-atmosphere. Basic thermodynamic principles can be applied in a statistical modeling with historic time series to obtain atmospheric CO2 concentration, creating the possibility of construction of scenarios that will help decision making. A model that links all carbon cycle factors was developed in this dissertation work, focusing in four thermal of climatic zones (Boreal, Temperate, Tropical, and Polar) for calculations of atmospheric CO2 storage. It was developed with nonparametric models based in carbon dioxide records from station measurement: EIA (Energy Information Administration), CDIAC (Carbon Dioxide Information Analysis Center), FAO (Food and Agriculture /organization), SIO (Scripp Institution Oceanography), etc. Results show that in 2100, the atmospheric CO2 concentration will reach a value four times higher than that of the preindustrial period. The temperate zone already emits almost half of the carbon dioxide to the atmosphere; by 2100, this emission will increase 15 times more than that corresponding to the tropical zone. China will be responsible for emissions in a proportion of 24 to 11 in comparison to that of the United States. Stabilization of CO2 concentrations in the atmosphere will be obtained when the anthropogenic carbon dioxide emissions attain a decrease of at least 34% in 2100 in the temperate zone |
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The sequestration and storage model of atmospheric carbon dioxideCarbon captureChemisorptions system CO2Optimization processCarbon dioxide (CO2) is the most important greenhouse gas. A gradual increase on its atmospheric concentration threatens significantly the climate. One of the main challenges of environment planning is to identify a model that connects all factors that determine the carbon cycle, that is, ocean-terrestrial ecosystem-anthropogenic emissions-atmosphere. Basic thermodynamic principles can be applied in a statistical modeling with historic time series to obtain atmospheric CO2 concentration, creating the possibility of construction of scenarios that will help decision making. A model that links all carbon cycle factors was developed in this dissertation work, focusing in four thermal of climatic zones (Boreal, Temperate, Tropical, and Polar) for calculations of atmospheric CO2 storage. It was developed with nonparametric models based in carbon dioxide records from station measurement: EIA (Energy Information Administration), CDIAC (Carbon Dioxide Information Analysis Center), FAO (Food and Agriculture /organization), SIO (Scripp Institution Oceanography), etc. Results show that in 2100, the atmospheric CO2 concentration will reach a value four times higher than that of the preindustrial period. The temperate zone already emits almost half of the carbon dioxide to the atmosphere; by 2100, this emission will increase 15 times more than that corresponding to the tropical zone. China will be responsible for emissions in a proportion of 24 to 11 in comparison to that of the United States. Stabilization of CO2 concentrations in the atmosphere will be obtained when the anthropogenic carbon dioxide emissions attain a decrease of at least 34% in 2100 in the temperate zoneFaculty of Engineering, São Paulo State University, Av. Dr. Ariberto Pereira da Cunha, 333Medical School, University of Taubaté, Av. Tiradentes, 500Faculty of Engineering, São Paulo State University, Av. Dr. Ariberto Pereira da Cunha, 333Universidade Estadual Paulista (UNESP)Medical School, University of TaubatéFerrufino, G. L.A.A. [UNESP]Carvalho, J. A. [UNESP]Nascimento, L. F.C.2022-04-28T19:00:56Z2022-04-28T19:00:56Z2009-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1329-1338ECOS 2009 - 22nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, p. 1329-1338.http://hdl.handle.net/11449/2203292-s2.0-84925038037Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengECOS 2009 - 22nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systemsinfo:eu-repo/semantics/openAccess2022-04-28T19:00:56Zoai:repositorio.unesp.br:11449/220329Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:00:56Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
The sequestration and storage model of atmospheric carbon dioxide |
title |
The sequestration and storage model of atmospheric carbon dioxide |
spellingShingle |
The sequestration and storage model of atmospheric carbon dioxide Ferrufino, G. L.A.A. [UNESP] Carbon capture Chemisorptions system CO2 Optimization process |
title_short |
The sequestration and storage model of atmospheric carbon dioxide |
title_full |
The sequestration and storage model of atmospheric carbon dioxide |
title_fullStr |
The sequestration and storage model of atmospheric carbon dioxide |
title_full_unstemmed |
The sequestration and storage model of atmospheric carbon dioxide |
title_sort |
The sequestration and storage model of atmospheric carbon dioxide |
author |
Ferrufino, G. L.A.A. [UNESP] |
author_facet |
Ferrufino, G. L.A.A. [UNESP] Carvalho, J. A. [UNESP] Nascimento, L. F.C. |
author_role |
author |
author2 |
Carvalho, J. A. [UNESP] Nascimento, L. F.C. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Medical School, University of Taubaté |
dc.contributor.author.fl_str_mv |
Ferrufino, G. L.A.A. [UNESP] Carvalho, J. A. [UNESP] Nascimento, L. F.C. |
dc.subject.por.fl_str_mv |
Carbon capture Chemisorptions system CO2 Optimization process |
topic |
Carbon capture Chemisorptions system CO2 Optimization process |
description |
Carbon dioxide (CO2) is the most important greenhouse gas. A gradual increase on its atmospheric concentration threatens significantly the climate. One of the main challenges of environment planning is to identify a model that connects all factors that determine the carbon cycle, that is, ocean-terrestrial ecosystem-anthropogenic emissions-atmosphere. Basic thermodynamic principles can be applied in a statistical modeling with historic time series to obtain atmospheric CO2 concentration, creating the possibility of construction of scenarios that will help decision making. A model that links all carbon cycle factors was developed in this dissertation work, focusing in four thermal of climatic zones (Boreal, Temperate, Tropical, and Polar) for calculations of atmospheric CO2 storage. It was developed with nonparametric models based in carbon dioxide records from station measurement: EIA (Energy Information Administration), CDIAC (Carbon Dioxide Information Analysis Center), FAO (Food and Agriculture /organization), SIO (Scripp Institution Oceanography), etc. Results show that in 2100, the atmospheric CO2 concentration will reach a value four times higher than that of the preindustrial period. The temperate zone already emits almost half of the carbon dioxide to the atmosphere; by 2100, this emission will increase 15 times more than that corresponding to the tropical zone. China will be responsible for emissions in a proportion of 24 to 11 in comparison to that of the United States. Stabilization of CO2 concentrations in the atmosphere will be obtained when the anthropogenic carbon dioxide emissions attain a decrease of at least 34% in 2100 in the temperate zone |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-01-01 2022-04-28T19:00:56Z 2022-04-28T19:00:56Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
ECOS 2009 - 22nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, p. 1329-1338. http://hdl.handle.net/11449/220329 2-s2.0-84925038037 |
identifier_str_mv |
ECOS 2009 - 22nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, p. 1329-1338. 2-s2.0-84925038037 |
url |
http://hdl.handle.net/11449/220329 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
ECOS 2009 - 22nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1329-1338 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799965593357516800 |