Assessment of two different methods in predicting hydrological drought from the perspective of water demand

Detalhes bibliográficos
Autor(a) principal: Medeiros, Giovana Cristina Santos de
Data de Publicação: 2019
Outros Autores: Maia, Adelena Gonçalves, Medeiros, Joana Darc Freire de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/30223
Resumo: The traditional methodologies to determine hydrologic drought use standardized drought indexes, which do not express a drought’s severity in terms of the volume deficit and do not consider water demand as a component of its calculation. To overcome these disadvantages, this work presents a method for the assessment of hydrological drought that determines the volume of water below its demand. A drought can be characterized by its duration, severity and magnitude, using the Threshold Level Method. Complementarily, the method for the assessment of hydrological drought developed by Araújo and Bronstert (2016) was used to compare the characteristics of drought events in the same reservoirs. For this purpose, the droughts that occurred between 1997 and 2015 were studied in two reservoirs in the Piranhas-Açu River basin (Brazil). For both methodologies, the results showed that the reservoir with a higher storage capacity is more efficient and, thus, less susceptible to drought than the smaller. It was found that the basic difference between the two approaches is the time analysis of drought events: while the Threshold Level Method makes it possible to study what occurred in the past to diagnose and plan the use of water in the future, the other method enables the assessment of current conditions to anticipate the start of a hydrologic drought. It is suggested that the two methodologies presented can be used simultaneously by water resource managers to enable a more comprehensive analysis of drought events in the basin
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spelling Medeiros, Giovana Cristina Santos deMaia, Adelena GonçalvesMedeiros, Joana Darc Freire de2020-09-30T18:36:30Z2020-09-30T18:36:30Z2019MEDEIROS, G.C.S.; MAIA, A. G.; MEDEIROS, J. D. F.. Assessment of two different methods in predicting hydrological drought from the perspective of water demand. Water Resources Management, v. 33, p. 1851-1865, 2019. Disponível em: https://link.springer.com/article/10.1007%2Fs11269-019-02218-7. Acesso em: 22 Set. 2020. https://doi.org/10.1007/s11269-019-02218-70920-47411573-1650https://repositorio.ufrn.br/handle/123456789/3022310.1007/s11269-019-02218-7SpringerAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessThreshold level methodWater shortageSemiaridWater resourcesAssessment of two different methods in predicting hydrological drought from the perspective of water demandinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleThe traditional methodologies to determine hydrologic drought use standardized drought indexes, which do not express a drought’s severity in terms of the volume deficit and do not consider water demand as a component of its calculation. To overcome these disadvantages, this work presents a method for the assessment of hydrological drought that determines the volume of water below its demand. A drought can be characterized by its duration, severity and magnitude, using the Threshold Level Method. Complementarily, the method for the assessment of hydrological drought developed by Araújo and Bronstert (2016) was used to compare the characteristics of drought events in the same reservoirs. For this purpose, the droughts that occurred between 1997 and 2015 were studied in two reservoirs in the Piranhas-Açu River basin (Brazil). For both methodologies, the results showed that the reservoir with a higher storage capacity is more efficient and, thus, less susceptible to drought than the smaller. It was found that the basic difference between the two approaches is the time analysis of drought events: while the Threshold Level Method makes it possible to study what occurred in the past to diagnose and plan the use of water in the future, the other method enables the assessment of current conditions to anticipate the start of a hydrologic drought. It is suggested that the two methodologies presented can be used simultaneously by water resource managers to enable a more comprehensive analysis of drought events in the basinengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/30223/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/30223/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53ORIGINALAssessmentDifferentMethods_Maia_2019.pdfAssessmentDifferentMethods_Maia_2019.pdfapplication/pdf1021024https://repositorio.ufrn.br/bitstream/123456789/30223/1/AssessmentDifferentMethods_Maia_2019.pdfaaf54e3dc742972431f86cdb16ee8514MD51TEXTAssessmentDifferentMethods_Maia_2019.pdf.txtAssessmentDifferentMethods_Maia_2019.pdf.txtExtracted texttext/plain42083https://repositorio.ufrn.br/bitstream/123456789/30223/4/AssessmentDifferentMethods_Maia_2019.pdf.txtd4f68770e8e1998774119a08299f3ba8MD54THUMBNAILAssessmentDifferentMethods_Maia_2019.pdf.jpgAssessmentDifferentMethods_Maia_2019.pdf.jpgGenerated Thumbnailimage/jpeg1500https://repositorio.ufrn.br/bitstream/123456789/30223/5/AssessmentDifferentMethods_Maia_2019.pdf.jpgd38b727dceb09801561a1dc0f9d05a72MD55123456789/302232020-10-04 04:47:33.342oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2020-10-04T07:47:33Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Assessment of two different methods in predicting hydrological drought from the perspective of water demand
title Assessment of two different methods in predicting hydrological drought from the perspective of water demand
spellingShingle Assessment of two different methods in predicting hydrological drought from the perspective of water demand
Medeiros, Giovana Cristina Santos de
Threshold level method
Water shortage
Semiarid
Water resources
title_short Assessment of two different methods in predicting hydrological drought from the perspective of water demand
title_full Assessment of two different methods in predicting hydrological drought from the perspective of water demand
title_fullStr Assessment of two different methods in predicting hydrological drought from the perspective of water demand
title_full_unstemmed Assessment of two different methods in predicting hydrological drought from the perspective of water demand
title_sort Assessment of two different methods in predicting hydrological drought from the perspective of water demand
author Medeiros, Giovana Cristina Santos de
author_facet Medeiros, Giovana Cristina Santos de
Maia, Adelena Gonçalves
Medeiros, Joana Darc Freire de
author_role author
author2 Maia, Adelena Gonçalves
Medeiros, Joana Darc Freire de
author2_role author
author
dc.contributor.author.fl_str_mv Medeiros, Giovana Cristina Santos de
Maia, Adelena Gonçalves
Medeiros, Joana Darc Freire de
dc.subject.por.fl_str_mv Threshold level method
Water shortage
Semiarid
Water resources
topic Threshold level method
Water shortage
Semiarid
Water resources
description The traditional methodologies to determine hydrologic drought use standardized drought indexes, which do not express a drought’s severity in terms of the volume deficit and do not consider water demand as a component of its calculation. To overcome these disadvantages, this work presents a method for the assessment of hydrological drought that determines the volume of water below its demand. A drought can be characterized by its duration, severity and magnitude, using the Threshold Level Method. Complementarily, the method for the assessment of hydrological drought developed by Araújo and Bronstert (2016) was used to compare the characteristics of drought events in the same reservoirs. For this purpose, the droughts that occurred between 1997 and 2015 were studied in two reservoirs in the Piranhas-Açu River basin (Brazil). For both methodologies, the results showed that the reservoir with a higher storage capacity is more efficient and, thus, less susceptible to drought than the smaller. It was found that the basic difference between the two approaches is the time analysis of drought events: while the Threshold Level Method makes it possible to study what occurred in the past to diagnose and plan the use of water in the future, the other method enables the assessment of current conditions to anticipate the start of a hydrologic drought. It is suggested that the two methodologies presented can be used simultaneously by water resource managers to enable a more comprehensive analysis of drought events in the basin
publishDate 2019
dc.date.issued.fl_str_mv 2019
dc.date.accessioned.fl_str_mv 2020-09-30T18:36:30Z
dc.date.available.fl_str_mv 2020-09-30T18:36:30Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.citation.fl_str_mv MEDEIROS, G.C.S.; MAIA, A. G.; MEDEIROS, J. D. F.. Assessment of two different methods in predicting hydrological drought from the perspective of water demand. Water Resources Management, v. 33, p. 1851-1865, 2019. Disponível em: https://link.springer.com/article/10.1007%2Fs11269-019-02218-7. Acesso em: 22 Set. 2020. https://doi.org/10.1007/s11269-019-02218-7
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/30223
dc.identifier.issn.none.fl_str_mv 0920-4741
1573-1650
dc.identifier.doi.none.fl_str_mv 10.1007/s11269-019-02218-7
identifier_str_mv MEDEIROS, G.C.S.; MAIA, A. G.; MEDEIROS, J. D. F.. Assessment of two different methods in predicting hydrological drought from the perspective of water demand. Water Resources Management, v. 33, p. 1851-1865, 2019. Disponível em: https://link.springer.com/article/10.1007%2Fs11269-019-02218-7. Acesso em: 22 Set. 2020. https://doi.org/10.1007/s11269-019-02218-7
0920-4741
1573-1650
10.1007/s11269-019-02218-7
url https://repositorio.ufrn.br/handle/123456789/30223
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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