Predicting modeling scenarios of climate change impact on the CO2 emissions from an Amazonian hydroelectric reservoir

Detalhes bibliográficos
Autor(a) principal: Curtarelli, Marcelo
Data de Publicação: 2020
Outros Autores: Stech, José, Lorenzzetti, João, Alcântara, Enner [UNESP], Ogashawara, Igor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s40808-020-00930-7
http://hdl.handle.net/11449/199223
Resumo: We simulated the carbon dioxide (CO2) emissions from a great Amazonian hydroelectric reservoir under future climate and land use land cover conditions using a three-dimensional ecological model. Future scenarios were developed taking into account the Representatives Concentrations Pathway (RCP) adopted by the Intergovernmental Panel for Climate Change (IPCC) in its fifth Assessment Report (AR5). To investigate the possible effects of future climate and land use changes on CO2 emissions, we compared our results with a previous study that simulated the carbon emissions under present climate conditions. The results showed that under moderate climatic changes scenario associated to the recuperation of natural land covers in the watershed (i.e., increase in forestry areas) the CO2 emissions are estimated to be more than 100% higher than the current emissions in a specific season. On the other hand, in a more extreme climatic changes scenario associated to the expansion of agriculture and pasture areas, the estimates of CO2 emissions along the year decrease of 5% compared to current emissions. Our findings indicate that the processes such as eutrophication, mixing and stratification of water column and the water retention time will be key elements controlling the CO2 emission from Amazonian reservoirs in the future. We highlight that the CO2 emissions from future planed Amazonian hydroelectric reservoirs are uncertain and will be highly dependent of regional climate and LULC changes. Decision makers must to consider these two important factors in the environmental impact studies and comparisons with CO2 emission from other energy sources.
id UNSP_8565f756630d0b582cbf0479edbdf96a
oai_identifier_str oai:repositorio.unesp.br:11449/199223
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Predicting modeling scenarios of climate change impact on the CO2 emissions from an Amazonian hydroelectric reservoirAmazonCarbon dioxideClimate changesHydroelectric reservoirsLand use and cover changesWe simulated the carbon dioxide (CO2) emissions from a great Amazonian hydroelectric reservoir under future climate and land use land cover conditions using a three-dimensional ecological model. Future scenarios were developed taking into account the Representatives Concentrations Pathway (RCP) adopted by the Intergovernmental Panel for Climate Change (IPCC) in its fifth Assessment Report (AR5). To investigate the possible effects of future climate and land use changes on CO2 emissions, we compared our results with a previous study that simulated the carbon emissions under present climate conditions. The results showed that under moderate climatic changes scenario associated to the recuperation of natural land covers in the watershed (i.e., increase in forestry areas) the CO2 emissions are estimated to be more than 100% higher than the current emissions in a specific season. On the other hand, in a more extreme climatic changes scenario associated to the expansion of agriculture and pasture areas, the estimates of CO2 emissions along the year decrease of 5% compared to current emissions. Our findings indicate that the processes such as eutrophication, mixing and stratification of water column and the water retention time will be key elements controlling the CO2 emission from Amazonian reservoirs in the future. We highlight that the CO2 emissions from future planed Amazonian hydroelectric reservoirs are uncertain and will be highly dependent of regional climate and LULC changes. Decision makers must to consider these two important factors in the environmental impact studies and comparisons with CO2 emission from other energy sources.Green Economy Center CERTI FoundationRemote Sensing Division (DSR) National Institute for Space Research (INPE)Department of Environmental Engineering São Paulo State University (UNESP)Department of Experimental Limnology Leibniz-Institute für Gewasserökologie Und BinnenfischerieDepartment of Environmental Engineering São Paulo State University (UNESP)CERTI FoundationNational Institute for Space Research (INPE)Universidade Estadual Paulista (Unesp)Leibniz-Institute für Gewasserökologie Und BinnenfischerieCurtarelli, MarceloStech, JoséLorenzzetti, JoãoAlcântara, Enner [UNESP]Ogashawara, Igor2020-12-12T01:34:01Z2020-12-12T01:34:01Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s40808-020-00930-7Modeling Earth Systems and Environment.2363-62112363-6203http://hdl.handle.net/11449/19922310.1007/s40808-020-00930-72-s2.0-85089097632Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengModeling Earth Systems and Environmentinfo:eu-repo/semantics/openAccess2021-10-23T05:01:59Zoai:repositorio.unesp.br:11449/199223Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:00:41.176970Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Predicting modeling scenarios of climate change impact on the CO2 emissions from an Amazonian hydroelectric reservoir
title Predicting modeling scenarios of climate change impact on the CO2 emissions from an Amazonian hydroelectric reservoir
spellingShingle Predicting modeling scenarios of climate change impact on the CO2 emissions from an Amazonian hydroelectric reservoir
Curtarelli, Marcelo
Amazon
Carbon dioxide
Climate changes
Hydroelectric reservoirs
Land use and cover changes
title_short Predicting modeling scenarios of climate change impact on the CO2 emissions from an Amazonian hydroelectric reservoir
title_full Predicting modeling scenarios of climate change impact on the CO2 emissions from an Amazonian hydroelectric reservoir
title_fullStr Predicting modeling scenarios of climate change impact on the CO2 emissions from an Amazonian hydroelectric reservoir
title_full_unstemmed Predicting modeling scenarios of climate change impact on the CO2 emissions from an Amazonian hydroelectric reservoir
title_sort Predicting modeling scenarios of climate change impact on the CO2 emissions from an Amazonian hydroelectric reservoir
author Curtarelli, Marcelo
author_facet Curtarelli, Marcelo
Stech, José
Lorenzzetti, João
Alcântara, Enner [UNESP]
Ogashawara, Igor
author_role author
author2 Stech, José
Lorenzzetti, João
Alcântara, Enner [UNESP]
Ogashawara, Igor
author2_role author
author
author
author
dc.contributor.none.fl_str_mv CERTI Foundation
National Institute for Space Research (INPE)
Universidade Estadual Paulista (Unesp)
Leibniz-Institute für Gewasserökologie Und Binnenfischerie
dc.contributor.author.fl_str_mv Curtarelli, Marcelo
Stech, José
Lorenzzetti, João
Alcântara, Enner [UNESP]
Ogashawara, Igor
dc.subject.por.fl_str_mv Amazon
Carbon dioxide
Climate changes
Hydroelectric reservoirs
Land use and cover changes
topic Amazon
Carbon dioxide
Climate changes
Hydroelectric reservoirs
Land use and cover changes
description We simulated the carbon dioxide (CO2) emissions from a great Amazonian hydroelectric reservoir under future climate and land use land cover conditions using a three-dimensional ecological model. Future scenarios were developed taking into account the Representatives Concentrations Pathway (RCP) adopted by the Intergovernmental Panel for Climate Change (IPCC) in its fifth Assessment Report (AR5). To investigate the possible effects of future climate and land use changes on CO2 emissions, we compared our results with a previous study that simulated the carbon emissions under present climate conditions. The results showed that under moderate climatic changes scenario associated to the recuperation of natural land covers in the watershed (i.e., increase in forestry areas) the CO2 emissions are estimated to be more than 100% higher than the current emissions in a specific season. On the other hand, in a more extreme climatic changes scenario associated to the expansion of agriculture and pasture areas, the estimates of CO2 emissions along the year decrease of 5% compared to current emissions. Our findings indicate that the processes such as eutrophication, mixing and stratification of water column and the water retention time will be key elements controlling the CO2 emission from Amazonian reservoirs in the future. We highlight that the CO2 emissions from future planed Amazonian hydroelectric reservoirs are uncertain and will be highly dependent of regional climate and LULC changes. Decision makers must to consider these two important factors in the environmental impact studies and comparisons with CO2 emission from other energy sources.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T01:34:01Z
2020-12-12T01:34:01Z
2020-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/s40808-020-00930-7
Modeling Earth Systems and Environment.
2363-6211
2363-6203
http://hdl.handle.net/11449/199223
10.1007/s40808-020-00930-7
2-s2.0-85089097632
url http://dx.doi.org/10.1007/s40808-020-00930-7
http://hdl.handle.net/11449/199223
identifier_str_mv Modeling Earth Systems and Environment.
2363-6211
2363-6203
10.1007/s40808-020-00930-7
2-s2.0-85089097632
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Modeling Earth Systems and Environment
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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_ 1808129481156591616