AN ANALYSIS OF THE RAINFALL ANOMALY INDEX IN VITORIA DE SANTO ANTÃO MICROREGION – PERNAMBUCO

The microregion of Vitória de Santo Antão stands out for its agricultural production, being considered the green belt of the Metropolitan Region of Recife (RMR). The present study aims to evaluate the spatialtemporal variability of rainfall in Vitória de Santo Antão microregion by using the Rainfal...

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Main Author: Amanda Steffany Quirino de Alcântara
Format: Article
Language:Portuguese
Published: Programa de Pós-graduação em Geografia (PPGEO) 2018-12-01
Series:GeoNordeste
Subjects:
IAC
Online Access:https://seer.ufs.br/index.php/geonordeste/article/view/9210/pdf
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spelling doaj-082489e12e4e485baf2bf44f87d32fc52020-11-24T22:10:30ZporPrograma de Pós-graduação em Geografia (PPGEO)GeoNordeste1518-60592318-26952018-12-01XXIX289106AN ANALYSIS OF THE RAINFALL ANOMALY INDEX IN VITORIA DE SANTO ANTÃO MICROREGION – PERNAMBUCOAmanda Steffany Quirino de Alcântara 0MacielThe microregion of Vitória de Santo Antão stands out for its agricultural production, being considered the green belt of the Metropolitan Region of Recife (RMR). The present study aims to evaluate the spatialtemporal variability of rainfall in Vitória de Santo Antão microregion by using the Rainfall Anomaly Index (IAC). The mean values of the precipitation of the historical series from 1960 to 2015, measured from 5 meteorological stations, obtained through Pernambuco State of Waters and Climates (APAC) were used. The average air temperature data were obtained by using Estima_T software, which estimates air temperatures through multiple regressions as a function of local coordinates. The RAI created by Rooy (1965) was analyzed, as well as the Rainfall Probability (P) analysis and its Return Period (t). The results indicated that microregion has pluviometric irregularities due to atmospheric events that operate in the region, such as El Niño, showing a marked interannual variability of precipitation with tendencies of rainfall reduction. The techniques probability occurrence of rains and the average period of return were indispensable for the estimation of extreme climatic events.https://seer.ufs.br/index.php/geonordeste/article/view/9210/pdfIACRainfall Probability.Mean Recurrence Interval.
collection DOAJ
language Portuguese
format Article
sources DOAJ
author Amanda Steffany Quirino de Alcântara
spellingShingle Amanda Steffany Quirino de Alcântara
AN ANALYSIS OF THE RAINFALL ANOMALY INDEX IN VITORIA DE SANTO ANTÃO MICROREGION – PERNAMBUCO
GeoNordeste
IAC
Rainfall Probability.
Mean Recurrence Interval.
author_facet Amanda Steffany Quirino de Alcântara
author_sort Amanda Steffany Quirino de Alcântara
title AN ANALYSIS OF THE RAINFALL ANOMALY INDEX IN VITORIA DE SANTO ANTÃO MICROREGION – PERNAMBUCO
title_short AN ANALYSIS OF THE RAINFALL ANOMALY INDEX IN VITORIA DE SANTO ANTÃO MICROREGION – PERNAMBUCO
title_full AN ANALYSIS OF THE RAINFALL ANOMALY INDEX IN VITORIA DE SANTO ANTÃO MICROREGION – PERNAMBUCO
title_fullStr AN ANALYSIS OF THE RAINFALL ANOMALY INDEX IN VITORIA DE SANTO ANTÃO MICROREGION – PERNAMBUCO
title_full_unstemmed AN ANALYSIS OF THE RAINFALL ANOMALY INDEX IN VITORIA DE SANTO ANTÃO MICROREGION – PERNAMBUCO
title_sort analysis of the rainfall anomaly index in vitoria de santo antão microregion – pernambuco
publisher Programa de Pós-graduação em Geografia (PPGEO)
series GeoNordeste
issn 1518-6059
2318-2695
publishDate 2018-12-01
description The microregion of Vitória de Santo Antão stands out for its agricultural production, being considered the green belt of the Metropolitan Region of Recife (RMR). The present study aims to evaluate the spatialtemporal variability of rainfall in Vitória de Santo Antão microregion by using the Rainfall Anomaly Index (IAC). The mean values of the precipitation of the historical series from 1960 to 2015, measured from 5 meteorological stations, obtained through Pernambuco State of Waters and Climates (APAC) were used. The average air temperature data were obtained by using Estima_T software, which estimates air temperatures through multiple regressions as a function of local coordinates. The RAI created by Rooy (1965) was analyzed, as well as the Rainfall Probability (P) analysis and its Return Period (t). The results indicated that microregion has pluviometric irregularities due to atmospheric events that operate in the region, such as El Niño, showing a marked interannual variability of precipitation with tendencies of rainfall reduction. The techniques probability occurrence of rains and the average period of return were indispensable for the estimation of extreme climatic events.
topic IAC
Rainfall Probability.
Mean Recurrence Interval.
url https://seer.ufs.br/index.php/geonordeste/article/view/9210/pdf
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