Temporal trend of drought and aridity indices in semi-arid pernambucano to determine susceptibility to desertification
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
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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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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1754734701978845184 |