The GAR(1) model with fragment method for hydrological drought risk assessment in semiarid regions / O modelo GAR(1) com método de fragmento para avaliação de risco de seca hidrológica em regiões semiáridas
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Veras |
Texto Completo: | https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/3666 |
Resumo: | The Northeast Brazil has been recognized as an area that will suffer greatly from the effects of variability and climate change. This will lead to a reduction of precipitation and streamflow in the region, causing greater pressure on the scarce water resources of the region, especially on the water stored in the reservoirs. Optimization of the design and operation of multipurpose reservoir systems depends on the ability of synthetic streamflow generation models to reproduce the typical intermittent characteristics of semi-arid rivers. A Gamma Autoregressive – GAR(1) model have been tested and applied, for generating annual flows, coupled with the Fragment Method to disaggregate the annual flows to monthly ones. This coupled model was applied to four typical intermittent basins of the NE-Brazil, with drainage area varying from 410 to 5.695 Km². In order to analyze the performance of the model not only the statistical parameters (mean, variance, lag-1 serial correlation, etc.) of the historical and generated series were examined, but also a storage analysis by mean of the Sequent-Peak-Algorithm (SPA) was performed and additionally the preservation of the droughts and floods characteristics (duration, severity and magnitude) of the historical series was analyzed. This model was able to preserve the statistical parameters of the historical time series. However, when the generated synthetic flows were used to a storage analysis the model was not adequate to reproduce, particularly, the persistence (long periods of low and high flow) encountered in the historical series, which is fundamental by the reservoir design and for hydrological drought risk assessment. |
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The GAR(1) model with fragment method for hydrological drought risk assessment in semiarid regions / O modelo GAR(1) com método de fragmento para avaliação de risco de seca hidrológica em regiões semiáridashydrological droughtintermittent riversreservoir operation optimization.The Northeast Brazil has been recognized as an area that will suffer greatly from the effects of variability and climate change. This will lead to a reduction of precipitation and streamflow in the region, causing greater pressure on the scarce water resources of the region, especially on the water stored in the reservoirs. Optimization of the design and operation of multipurpose reservoir systems depends on the ability of synthetic streamflow generation models to reproduce the typical intermittent characteristics of semi-arid rivers. A Gamma Autoregressive – GAR(1) model have been tested and applied, for generating annual flows, coupled with the Fragment Method to disaggregate the annual flows to monthly ones. This coupled model was applied to four typical intermittent basins of the NE-Brazil, with drainage area varying from 410 to 5.695 Km². In order to analyze the performance of the model not only the statistical parameters (mean, variance, lag-1 serial correlation, etc.) of the historical and generated series were examined, but also a storage analysis by mean of the Sequent-Peak-Algorithm (SPA) was performed and additionally the preservation of the droughts and floods characteristics (duration, severity and magnitude) of the historical series was analyzed. This model was able to preserve the statistical parameters of the historical time series. However, when the generated synthetic flows were used to a storage analysis the model was not adequate to reproduce, particularly, the persistence (long periods of low and high flow) encountered in the historical series, which is fundamental by the reservoir design and for hydrological drought risk assessment. Brazilian Journals Publicações de Periódicos e Editora Ltda.2019-10-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/366610.34117/bjdv5n10-086Brazilian Journal of Development; Vol. 5 No. 10 (2019); 18267-18281Brazilian Journal of Development; Vol. 5 Núm. 10 (2019); 18267-18281Brazilian Journal of Development; v. 5 n. 10 (2019); 18267-182812525-8761reponame:Revista Verasinstname:Instituto Superior de Educação Vera Cruz (VeraCruz)instacron:VERACRUZporhttps://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/3666/3476Copyright (c) 2019 Brazilian Journal of Developmentinfo:eu-repo/semantics/openAccessFreitas, Marcos Airton de SousaFreitas, Gabriel Belmino2019-11-25T18:28:02Zoai:ojs2.ojs.brazilianjournals.com.br:article/3666Revistahttp://site.veracruz.edu.br:8087/instituto/revistaveras/index.php/revistaveras/PRIhttp://site.veracruz.edu.br:8087/instituto/revistaveras/index.php/revistaveras/oai||revistaveras@veracruz.edu.br2236-57292236-5729opendoar:2024-10-15T16:03:25.063061Revista Veras - Instituto Superior de Educação Vera Cruz (VeraCruz)false |
dc.title.none.fl_str_mv |
The GAR(1) model with fragment method for hydrological drought risk assessment in semiarid regions / O modelo GAR(1) com método de fragmento para avaliação de risco de seca hidrológica em regiões semiáridas |
title |
The GAR(1) model with fragment method for hydrological drought risk assessment in semiarid regions / O modelo GAR(1) com método de fragmento para avaliação de risco de seca hidrológica em regiões semiáridas |
spellingShingle |
The GAR(1) model with fragment method for hydrological drought risk assessment in semiarid regions / O modelo GAR(1) com método de fragmento para avaliação de risco de seca hidrológica em regiões semiáridas Freitas, Marcos Airton de Sousa hydrological drought intermittent rivers reservoir operation optimization. |
title_short |
The GAR(1) model with fragment method for hydrological drought risk assessment in semiarid regions / O modelo GAR(1) com método de fragmento para avaliação de risco de seca hidrológica em regiões semiáridas |
title_full |
The GAR(1) model with fragment method for hydrological drought risk assessment in semiarid regions / O modelo GAR(1) com método de fragmento para avaliação de risco de seca hidrológica em regiões semiáridas |
title_fullStr |
The GAR(1) model with fragment method for hydrological drought risk assessment in semiarid regions / O modelo GAR(1) com método de fragmento para avaliação de risco de seca hidrológica em regiões semiáridas |
title_full_unstemmed |
The GAR(1) model with fragment method for hydrological drought risk assessment in semiarid regions / O modelo GAR(1) com método de fragmento para avaliação de risco de seca hidrológica em regiões semiáridas |
title_sort |
The GAR(1) model with fragment method for hydrological drought risk assessment in semiarid regions / O modelo GAR(1) com método de fragmento para avaliação de risco de seca hidrológica em regiões semiáridas |
author |
Freitas, Marcos Airton de Sousa |
author_facet |
Freitas, Marcos Airton de Sousa Freitas, Gabriel Belmino |
author_role |
author |
author2 |
Freitas, Gabriel Belmino |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Freitas, Marcos Airton de Sousa Freitas, Gabriel Belmino |
dc.subject.por.fl_str_mv |
hydrological drought intermittent rivers reservoir operation optimization. |
topic |
hydrological drought intermittent rivers reservoir operation optimization. |
description |
The Northeast Brazil has been recognized as an area that will suffer greatly from the effects of variability and climate change. This will lead to a reduction of precipitation and streamflow in the region, causing greater pressure on the scarce water resources of the region, especially on the water stored in the reservoirs. Optimization of the design and operation of multipurpose reservoir systems depends on the ability of synthetic streamflow generation models to reproduce the typical intermittent characteristics of semi-arid rivers. A Gamma Autoregressive – GAR(1) model have been tested and applied, for generating annual flows, coupled with the Fragment Method to disaggregate the annual flows to monthly ones. This coupled model was applied to four typical intermittent basins of the NE-Brazil, with drainage area varying from 410 to 5.695 Km². In order to analyze the performance of the model not only the statistical parameters (mean, variance, lag-1 serial correlation, etc.) of the historical and generated series were examined, but also a storage analysis by mean of the Sequent-Peak-Algorithm (SPA) was performed and additionally the preservation of the droughts and floods characteristics (duration, severity and magnitude) of the historical series was analyzed. This model was able to preserve the statistical parameters of the historical time series. However, when the generated synthetic flows were used to a storage analysis the model was not adequate to reproduce, particularly, the persistence (long periods of low and high flow) encountered in the historical series, which is fundamental by the reservoir design and for hydrological drought risk assessment. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-07 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/3666 10.34117/bjdv5n10-086 |
url |
https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/3666 |
identifier_str_mv |
10.34117/bjdv5n10-086 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/3666/3476 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Brazilian Journal of Development info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Brazilian Journal of Development |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Brazilian Journals Publicações de Periódicos e Editora Ltda. |
publisher.none.fl_str_mv |
Brazilian Journals Publicações de Periódicos e Editora Ltda. |
dc.source.none.fl_str_mv |
Brazilian Journal of Development; Vol. 5 No. 10 (2019); 18267-18281 Brazilian Journal of Development; Vol. 5 Núm. 10 (2019); 18267-18281 Brazilian Journal of Development; v. 5 n. 10 (2019); 18267-18281 2525-8761 reponame:Revista Veras instname:Instituto Superior de Educação Vera Cruz (VeraCruz) instacron:VERACRUZ |
instname_str |
Instituto Superior de Educação Vera Cruz (VeraCruz) |
instacron_str |
VERACRUZ |
institution |
VERACRUZ |
reponame_str |
Revista Veras |
collection |
Revista Veras |
repository.name.fl_str_mv |
Revista Veras - Instituto Superior de Educação Vera Cruz (VeraCruz) |
repository.mail.fl_str_mv |
||revistaveras@veracruz.edu.br |
_version_ |
1813645425207410688 |