Temporal trend of drought and aridity indices in semi-arid pernambucano to determine susceptibility to desertification

Detalhes bibliográficos
Autor(a) principal: Silva,Fabianny Joanny Bezerra Cabral da
Data de Publicação: 2020
Outros Autores: Azevedo,José Roberto Gonçalves de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: RBRH (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312020000100227
Resumo: ABSTRACT In semi-arid regions, the use of drought and aridity indices in order to establish diagnoses and prognoses that help in water resources management is crucial, above all, for the evaluation of long-term water availability, and monitoring hydrological extreme events. Therefore, the aim of this study was to evaluate the trends of extreme events to determine susceptibility to desertification in the Brígida river basin, by Drought (RAI, SPI and PDSI) and Aridity (MIA, AI and AIASD) Indices. The results of these indices submitted to statistical analysis (Tukey Test) and to the evaluation of the climate trend (TREND software). The Tukey Test indicated that the PDSI and RAI method are the most suitable for drought analysis, while AI is most appropriate for aridity. The results indicated that regardless of the indices employed, the stations presented significant results in the trend analysis, suggesting intensification of these events over time. Therefore, concluded that drought and aridity indices could help water resources management by managing bodies, indicating the evolution of extreme hydrological phenomena, suggesting the adoption of preventive and mitigating actions regarding the use of water priority. In conclusion, these indices can be used as a tool for indicating areas susceptible to the desertification process.
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spelling Temporal trend of drought and aridity indices in semi-arid pernambucano to determine susceptibility to desertificationRainfall Anomaly Index (RAI)Standardized Precipitation Index (SPI)Palmer Drought Severity Index (PDSI)Martonne’s Aridity (MIA)Thornthwaite’s Aridity (AI)Brígida river basinABSTRACT In semi-arid regions, the use of drought and aridity indices in order to establish diagnoses and prognoses that help in water resources management is crucial, above all, for the evaluation of long-term water availability, and monitoring hydrological extreme events. Therefore, the aim of this study was to evaluate the trends of extreme events to determine susceptibility to desertification in the Brígida river basin, by Drought (RAI, SPI and PDSI) and Aridity (MIA, AI and AIASD) Indices. The results of these indices submitted to statistical analysis (Tukey Test) and to the evaluation of the climate trend (TREND software). The Tukey Test indicated that the PDSI and RAI method are the most suitable for drought analysis, while AI is most appropriate for aridity. The results indicated that regardless of the indices employed, the stations presented significant results in the trend analysis, suggesting intensification of these events over time. Therefore, concluded that drought and aridity indices could help water resources management by managing bodies, indicating the evolution of extreme hydrological phenomena, suggesting the adoption of preventive and mitigating actions regarding the use of water priority. In conclusion, these indices can be used as a tool for indicating areas susceptible to the desertification process.Associação Brasileira de Recursos Hídricos2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312020000100227RBRH v.25 2020reponame:RBRH (Online)instname:Associação Brasileira de Recursos Hídricos (ABRH)instacron:ABRH10.1590/2318-0331.252020190145info:eu-repo/semantics/openAccessSilva,Fabianny Joanny Bezerra Cabral daAzevedo,José Roberto Gonçalves deeng2020-06-23T00:00:00Zoai:scielo:S2318-03312020000100227Revistahttps://www.scielo.br/j/rbrh/https://old.scielo.br/oai/scielo-oai.php||rbrh@abrh.org.br2318-03311414-381Xopendoar:2020-06-23T00:00RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)false
dc.title.none.fl_str_mv Temporal trend of drought and aridity indices in semi-arid pernambucano to determine susceptibility to desertification
title Temporal trend of drought and aridity indices in semi-arid pernambucano to determine susceptibility to desertification
spellingShingle Temporal trend of drought and aridity indices in semi-arid pernambucano to determine susceptibility to desertification
Silva,Fabianny Joanny Bezerra Cabral da
Rainfall Anomaly Index (RAI)
Standardized Precipitation Index (SPI)
Palmer Drought Severity Index (PDSI)
Martonne’s Aridity (MIA)
Thornthwaite’s Aridity (AI)
Brígida river basin
title_short Temporal trend of drought and aridity indices in semi-arid pernambucano to determine susceptibility to desertification
title_full Temporal trend of drought and aridity indices in semi-arid pernambucano to determine susceptibility to desertification
title_fullStr Temporal trend of drought and aridity indices in semi-arid pernambucano to determine susceptibility to desertification
title_full_unstemmed Temporal trend of drought and aridity indices in semi-arid pernambucano to determine susceptibility to desertification
title_sort Temporal trend of drought and aridity indices in semi-arid pernambucano to determine susceptibility to desertification
author Silva,Fabianny Joanny Bezerra Cabral da
author_facet Silva,Fabianny Joanny Bezerra Cabral da
Azevedo,José Roberto Gonçalves de
author_role author
author2 Azevedo,José Roberto Gonçalves de
author2_role author
dc.contributor.author.fl_str_mv Silva,Fabianny Joanny Bezerra Cabral da
Azevedo,José Roberto Gonçalves de
dc.subject.por.fl_str_mv Rainfall Anomaly Index (RAI)
Standardized Precipitation Index (SPI)
Palmer Drought Severity Index (PDSI)
Martonne’s Aridity (MIA)
Thornthwaite’s Aridity (AI)
Brígida river basin
topic Rainfall Anomaly Index (RAI)
Standardized Precipitation Index (SPI)
Palmer Drought Severity Index (PDSI)
Martonne’s Aridity (MIA)
Thornthwaite’s Aridity (AI)
Brígida river basin
description ABSTRACT In semi-arid regions, the use of drought and aridity indices in order to establish diagnoses and prognoses that help in water resources management is crucial, above all, for the evaluation of long-term water availability, and monitoring hydrological extreme events. Therefore, the aim of this study was to evaluate the trends of extreme events to determine susceptibility to desertification in the Brígida river basin, by Drought (RAI, SPI and PDSI) and Aridity (MIA, AI and AIASD) Indices. The results of these indices submitted to statistical analysis (Tukey Test) and to the evaluation of the climate trend (TREND software). The Tukey Test indicated that the PDSI and RAI method are the most suitable for drought analysis, while AI is most appropriate for aridity. The results indicated that regardless of the indices employed, the stations presented significant results in the trend analysis, suggesting intensification of these events over time. Therefore, concluded that drought and aridity indices could help water resources management by managing bodies, indicating the evolution of extreme hydrological phenomena, suggesting the adoption of preventive and mitigating actions regarding the use of water priority. In conclusion, these indices can be used as a tool for indicating areas susceptible to the desertification process.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
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=S2318-03312020000100227
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312020000100227
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2318-0331.252020190145
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 Associação Brasileira de Recursos Hídricos
publisher.none.fl_str_mv Associação Brasileira de Recursos Hídricos
dc.source.none.fl_str_mv RBRH v.25 2020
reponame:RBRH (Online)
instname:Associação Brasileira de Recursos Hídricos (ABRH)
instacron:ABRH
instname_str Associação Brasileira de Recursos Hídricos (ABRH)
instacron_str ABRH
institution ABRH
reponame_str RBRH (Online)
collection RBRH (Online)
repository.name.fl_str_mv RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)
repository.mail.fl_str_mv ||rbrh@abrh.org.br
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