Predicting modeling scenarios of climate change impact on the $ CO_{2} $ emissions from an Amazonian hydroelectric reservoir
Abstract We simulated the carbon dioxide ($ CO_{2} $) 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 Pa...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Curtarelli, Marcelo [verfasserIn] Stech, José [verfasserIn] Lorenzzetti, João [verfasserIn] Alcântara, Enner [verfasserIn] Ogashawara, Igor [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Modeling earth systems and environment - Berlin : Springer, 2015, 7(2020), 1 vom: 09. Aug., Seite 631-639 |
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| Übergeordnetes Werk: |
volume:7 ; year:2020 ; number:1 ; day:09 ; month:08 ; pages:631-639 |
| Links: |
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| DOI / URN: |
10.1007/s40808-020-00930-7 |
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| Katalog-ID: |
SPR043116264 |
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| 245 | 1 | 0 | |a Predicting modeling scenarios of climate change impact on the $ CO_{2} $ emissions from an Amazonian hydroelectric reservoir |
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| 520 | |a Abstract We simulated the carbon dioxide ($ CO_{2} $) 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ emission from Amazonian reservoirs in the future. We highlight that the $ CO_{2} $ 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 $ CO_{2} $ emission from other energy sources. | ||
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| 650 | 4 | |a Amazon |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Climate changes |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Land use and cover changes |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Stech, José |e verfasserin |4 aut | |
| 700 | 1 | |a Lorenzzetti, João |e verfasserin |4 aut | |
| 700 | 1 | |a Alcântara, Enner |e verfasserin |4 aut | |
| 700 | 1 | |a Ogashawara, Igor |e verfasserin |4 aut | |
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10.1007/s40808-020-00930-7 doi (DE-627)SPR043116264 (DE-599)SPRs40808-020-00930-7-e (SPR)s40808-020-00930-7-e DE-627 ger DE-627 rakwb eng 333.7 ASE 333.7 ASE Curtarelli, Marcelo verfasserin aut Predicting modeling scenarios of climate change impact on the $ CO_{2} $ emissions from an Amazonian hydroelectric reservoir 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We simulated the carbon dioxide ($ CO_{2} $) 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ emission from Amazonian reservoirs in the future. We highlight that the $ CO_{2} $ 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 $ CO_{2} $ emission from other energy sources. Carbon dioxide (dpeaa)DE-He213 Hydroelectric reservoirs (dpeaa)DE-He213 Amazon (dpeaa)DE-He213 Climate changes (dpeaa)DE-He213 Land use and cover changes (dpeaa)DE-He213 Stech, José verfasserin aut Lorenzzetti, João verfasserin aut Alcântara, Enner verfasserin aut Ogashawara, Igor verfasserin aut Enthalten in Modeling earth systems and environment Berlin : Springer, 2015 7(2020), 1 vom: 09. Aug., Seite 631-639 (DE-627)825736587 (DE-600)2821317-8 2363-6211 nnns volume:7 year:2020 number:1 day:09 month:08 pages:631-639 https://dx.doi.org/10.1007/s40808-020-00930-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 7 2020 1 09 08 631-639 |
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10.1007/s40808-020-00930-7 doi (DE-627)SPR043116264 (DE-599)SPRs40808-020-00930-7-e (SPR)s40808-020-00930-7-e DE-627 ger DE-627 rakwb eng 333.7 ASE 333.7 ASE Curtarelli, Marcelo verfasserin aut Predicting modeling scenarios of climate change impact on the $ CO_{2} $ emissions from an Amazonian hydroelectric reservoir 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We simulated the carbon dioxide ($ CO_{2} $) 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ emission from Amazonian reservoirs in the future. We highlight that the $ CO_{2} $ 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 $ CO_{2} $ emission from other energy sources. Carbon dioxide (dpeaa)DE-He213 Hydroelectric reservoirs (dpeaa)DE-He213 Amazon (dpeaa)DE-He213 Climate changes (dpeaa)DE-He213 Land use and cover changes (dpeaa)DE-He213 Stech, José verfasserin aut Lorenzzetti, João verfasserin aut Alcântara, Enner verfasserin aut Ogashawara, Igor verfasserin aut Enthalten in Modeling earth systems and environment Berlin : Springer, 2015 7(2020), 1 vom: 09. Aug., Seite 631-639 (DE-627)825736587 (DE-600)2821317-8 2363-6211 nnns volume:7 year:2020 number:1 day:09 month:08 pages:631-639 https://dx.doi.org/10.1007/s40808-020-00930-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 7 2020 1 09 08 631-639 |
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10.1007/s40808-020-00930-7 doi (DE-627)SPR043116264 (DE-599)SPRs40808-020-00930-7-e (SPR)s40808-020-00930-7-e DE-627 ger DE-627 rakwb eng 333.7 ASE 333.7 ASE Curtarelli, Marcelo verfasserin aut Predicting modeling scenarios of climate change impact on the $ CO_{2} $ emissions from an Amazonian hydroelectric reservoir 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We simulated the carbon dioxide ($ CO_{2} $) 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ emission from Amazonian reservoirs in the future. We highlight that the $ CO_{2} $ 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 $ CO_{2} $ emission from other energy sources. Carbon dioxide (dpeaa)DE-He213 Hydroelectric reservoirs (dpeaa)DE-He213 Amazon (dpeaa)DE-He213 Climate changes (dpeaa)DE-He213 Land use and cover changes (dpeaa)DE-He213 Stech, José verfasserin aut Lorenzzetti, João verfasserin aut Alcântara, Enner verfasserin aut Ogashawara, Igor verfasserin aut Enthalten in Modeling earth systems and environment Berlin : Springer, 2015 7(2020), 1 vom: 09. Aug., Seite 631-639 (DE-627)825736587 (DE-600)2821317-8 2363-6211 nnns volume:7 year:2020 number:1 day:09 month:08 pages:631-639 https://dx.doi.org/10.1007/s40808-020-00930-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 7 2020 1 09 08 631-639 |
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10.1007/s40808-020-00930-7 doi (DE-627)SPR043116264 (DE-599)SPRs40808-020-00930-7-e (SPR)s40808-020-00930-7-e DE-627 ger DE-627 rakwb eng 333.7 ASE 333.7 ASE Curtarelli, Marcelo verfasserin aut Predicting modeling scenarios of climate change impact on the $ CO_{2} $ emissions from an Amazonian hydroelectric reservoir 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We simulated the carbon dioxide ($ CO_{2} $) 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ emission from Amazonian reservoirs in the future. We highlight that the $ CO_{2} $ 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 $ CO_{2} $ emission from other energy sources. Carbon dioxide (dpeaa)DE-He213 Hydroelectric reservoirs (dpeaa)DE-He213 Amazon (dpeaa)DE-He213 Climate changes (dpeaa)DE-He213 Land use and cover changes (dpeaa)DE-He213 Stech, José verfasserin aut Lorenzzetti, João verfasserin aut Alcântara, Enner verfasserin aut Ogashawara, Igor verfasserin aut Enthalten in Modeling earth systems and environment Berlin : Springer, 2015 7(2020), 1 vom: 09. Aug., Seite 631-639 (DE-627)825736587 (DE-600)2821317-8 2363-6211 nnns volume:7 year:2020 number:1 day:09 month:08 pages:631-639 https://dx.doi.org/10.1007/s40808-020-00930-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 7 2020 1 09 08 631-639 |
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10.1007/s40808-020-00930-7 doi (DE-627)SPR043116264 (DE-599)SPRs40808-020-00930-7-e (SPR)s40808-020-00930-7-e DE-627 ger DE-627 rakwb eng 333.7 ASE 333.7 ASE Curtarelli, Marcelo verfasserin aut Predicting modeling scenarios of climate change impact on the $ CO_{2} $ emissions from an Amazonian hydroelectric reservoir 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We simulated the carbon dioxide ($ CO_{2} $) 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ emission from Amazonian reservoirs in the future. We highlight that the $ CO_{2} $ 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 $ CO_{2} $ emission from other energy sources. Carbon dioxide (dpeaa)DE-He213 Hydroelectric reservoirs (dpeaa)DE-He213 Amazon (dpeaa)DE-He213 Climate changes (dpeaa)DE-He213 Land use and cover changes (dpeaa)DE-He213 Stech, José verfasserin aut Lorenzzetti, João verfasserin aut Alcântara, Enner verfasserin aut Ogashawara, Igor verfasserin aut Enthalten in Modeling earth systems and environment Berlin : Springer, 2015 7(2020), 1 vom: 09. Aug., Seite 631-639 (DE-627)825736587 (DE-600)2821317-8 2363-6211 nnns volume:7 year:2020 number:1 day:09 month:08 pages:631-639 https://dx.doi.org/10.1007/s40808-020-00930-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 7 2020 1 09 08 631-639 |
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English |
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Enthalten in Modeling earth systems and environment 7(2020), 1 vom: 09. Aug., Seite 631-639 volume:7 year:2020 number:1 day:09 month:08 pages:631-639 |
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Modeling earth systems and environment |
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Curtarelli, Marcelo @@aut@@ Stech, José @@aut@@ Lorenzzetti, João @@aut@@ Alcântara, Enner @@aut@@ Ogashawara, Igor @@aut@@ |
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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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ emission from Amazonian reservoirs in the future. We highlight that the $ CO_{2} $ emissions from future planed Amazonian hydroelectric reservoirs are uncertain and will be highly dependent of regional climate and LULC changes. 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Curtarelli, Marcelo |
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Curtarelli, Marcelo ddc 333.7 misc Carbon dioxide misc Hydroelectric reservoirs misc Amazon misc Climate changes misc Land use and cover changes Predicting modeling scenarios of climate change impact on the $ CO_{2} $ emissions from an Amazonian hydroelectric reservoir |
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333.7 ASE Predicting modeling scenarios of climate change impact on the $ CO_{2} $ emissions from an Amazonian hydroelectric reservoir Carbon dioxide (dpeaa)DE-He213 Hydroelectric reservoirs (dpeaa)DE-He213 Amazon (dpeaa)DE-He213 Climate changes (dpeaa)DE-He213 Land use and cover changes (dpeaa)DE-He213 |
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ddc 333.7 misc Carbon dioxide misc Hydroelectric reservoirs misc Amazon misc Climate changes misc Land use and cover changes |
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Predicting modeling scenarios of climate change impact on the $ CO_{2} $ emissions from an Amazonian hydroelectric reservoir |
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predicting modeling scenarios of climate change impact on the $ co_{2} $ emissions from an amazonian hydroelectric reservoir |
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Predicting modeling scenarios of climate change impact on the $ CO_{2} $ emissions from an Amazonian hydroelectric reservoir |
| abstract |
Abstract We simulated the carbon dioxide ($ CO_{2} $) 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ emission from Amazonian reservoirs in the future. We highlight that the $ CO_{2} $ 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 $ CO_{2} $ emission from other energy sources. |
| abstractGer |
Abstract We simulated the carbon dioxide ($ CO_{2} $) 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ emission from Amazonian reservoirs in the future. We highlight that the $ CO_{2} $ 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 $ CO_{2} $ emission from other energy sources. |
| abstract_unstemmed |
Abstract We simulated the carbon dioxide ($ CO_{2} $) 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ 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 $ CO_{2} $ emission from Amazonian reservoirs in the future. We highlight that the $ CO_{2} $ 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 $ CO_{2} $ emission from other energy sources. |
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| container_issue |
1 |
| title_short |
Predicting modeling scenarios of climate change impact on the $ CO_{2} $ emissions from an Amazonian hydroelectric reservoir |
| url |
https://dx.doi.org/10.1007/s40808-020-00930-7 |
| remote_bool |
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| author2 |
Stech, José Lorenzzetti, João Alcântara, Enner Ogashawara, Igor |
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Stech, José Lorenzzetti, João Alcântara, Enner Ogashawara, Igor |
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| doi_str |
10.1007/s40808-020-00930-7 |
| up_date |
2024-07-03T16:42:58.865Z |
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| score |
7.4020405 |