Development of an annual drought classification system based on drought severity indexes

Detalhes bibliográficos
Autor(a) principal: LIMA,RAFAEL P.C.
Data de Publicação: 2019
Outros Autores: SILVA,DEMETRIUS D. DA, MOREIRA,MICHEL C., PASSOS,JÉSSICA B.M.C., COELHO,CLÍVIA D., ELESBON,ABRAHÃO A.A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000100852
Resumo: Abstract: In order to characterize the occurrence and intensity of droughts in the Doce River Basin, as well as to develop a system for its classification, four different drought indexes were evaluated: Percent of Normal Precipitation (PNP), Deciles Method (DM), Rainfall Anomaly Index (RAI) and Standardized Precipitation Index (SPI). The indices were calculated annually, based on precipitation data from 89 rainfall stations of the Brazilian National Water Agency (ANA). Nine analysis units (AUs) were determined in the basin and the Thiessen Polygons method was used to obtain the average precipitation in the respective drainage areas. The indices were calculated for each AU and then related to the drought intensity classes. An overall classification of the indices was proposed for the drought classification system for a 30-year base period, from 1985 to 2015. The most critical hydrological years of the Doce River Basin in relation to the drought were 1994/1995, 2000/2001 and 2014/2015, the latter being the most critical of the last 30 years. The results show that the annual drought classification system proved to be efficient in the identification of events, allowing to verify that the Doce River Basin presents a severe climatic drought condition, on average, every seven years.
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spelling Development of an annual drought classification system based on drought severity indexesclimatic conditionDoce riverprecipitationrainfall seasonriver basinAbstract: In order to characterize the occurrence and intensity of droughts in the Doce River Basin, as well as to develop a system for its classification, four different drought indexes were evaluated: Percent of Normal Precipitation (PNP), Deciles Method (DM), Rainfall Anomaly Index (RAI) and Standardized Precipitation Index (SPI). The indices were calculated annually, based on precipitation data from 89 rainfall stations of the Brazilian National Water Agency (ANA). Nine analysis units (AUs) were determined in the basin and the Thiessen Polygons method was used to obtain the average precipitation in the respective drainage areas. The indices were calculated for each AU and then related to the drought intensity classes. An overall classification of the indices was proposed for the drought classification system for a 30-year base period, from 1985 to 2015. The most critical hydrological years of the Doce River Basin in relation to the drought were 1994/1995, 2000/2001 and 2014/2015, the latter being the most critical of the last 30 years. The results show that the annual drought classification system proved to be efficient in the identification of events, allowing to verify that the Doce River Basin presents a severe climatic drought condition, on average, every seven years.Academia Brasileira de Ciências2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000100852Anais da Academia Brasileira de Ciências v.91 n.1 2019reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765201920180188info:eu-repo/semantics/openAccessLIMA,RAFAEL P.C.SILVA,DEMETRIUS D. DAMOREIRA,MICHEL C.PASSOS,JÉSSICA B.M.C.COELHO,CLÍVIA D.ELESBON,ABRAHÃO A.A.eng2019-04-16T00:00:00Zoai:scielo:S0001-37652019000100852Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2019-04-16T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Development of an annual drought classification system based on drought severity indexes
title Development of an annual drought classification system based on drought severity indexes
spellingShingle Development of an annual drought classification system based on drought severity indexes
LIMA,RAFAEL P.C.
climatic condition
Doce river
precipitation
rainfall season
river basin
title_short Development of an annual drought classification system based on drought severity indexes
title_full Development of an annual drought classification system based on drought severity indexes
title_fullStr Development of an annual drought classification system based on drought severity indexes
title_full_unstemmed Development of an annual drought classification system based on drought severity indexes
title_sort Development of an annual drought classification system based on drought severity indexes
author LIMA,RAFAEL P.C.
author_facet LIMA,RAFAEL P.C.
SILVA,DEMETRIUS D. DA
MOREIRA,MICHEL C.
PASSOS,JÉSSICA B.M.C.
COELHO,CLÍVIA D.
ELESBON,ABRAHÃO A.A.
author_role author
author2 SILVA,DEMETRIUS D. DA
MOREIRA,MICHEL C.
PASSOS,JÉSSICA B.M.C.
COELHO,CLÍVIA D.
ELESBON,ABRAHÃO A.A.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv LIMA,RAFAEL P.C.
SILVA,DEMETRIUS D. DA
MOREIRA,MICHEL C.
PASSOS,JÉSSICA B.M.C.
COELHO,CLÍVIA D.
ELESBON,ABRAHÃO A.A.
dc.subject.por.fl_str_mv climatic condition
Doce river
precipitation
rainfall season
river basin
topic climatic condition
Doce river
precipitation
rainfall season
river basin
description Abstract: In order to characterize the occurrence and intensity of droughts in the Doce River Basin, as well as to develop a system for its classification, four different drought indexes were evaluated: Percent of Normal Precipitation (PNP), Deciles Method (DM), Rainfall Anomaly Index (RAI) and Standardized Precipitation Index (SPI). The indices were calculated annually, based on precipitation data from 89 rainfall stations of the Brazilian National Water Agency (ANA). Nine analysis units (AUs) were determined in the basin and the Thiessen Polygons method was used to obtain the average precipitation in the respective drainage areas. The indices were calculated for each AU and then related to the drought intensity classes. An overall classification of the indices was proposed for the drought classification system for a 30-year base period, from 1985 to 2015. The most critical hydrological years of the Doce River Basin in relation to the drought were 1994/1995, 2000/2001 and 2014/2015, the latter being the most critical of the last 30 years. The results show that the annual drought classification system proved to be efficient in the identification of events, allowing to verify that the Doce River Basin presents a severe climatic drought condition, on average, every seven years.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000100852
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000100852
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765201920180188
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.91 n.1 2019
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
instacron:ABC
instname_str Academia Brasileira de Ciências (ABC)
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reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
repository.mail.fl_str_mv ||aabc@abc.org.br
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