El Niño/La Niña influence in number of days with rain in Bom Jesus - Piauí, Brazil

Authors

  • Raimundo Mainar Medeiros Universidade Federal de Campina Grande, Campina Grande
  • José Ivaldo Barbosa de Brito Universidade Federal de Campina Grande, Campina Grande
  • Virgínia Mirtes de Alcântara Silva Universidade Federal de Campina Grande, Campina Grande
  • Valneli da Silva Melo Universidade Federal de Campina Grande, Campina Grande
  • Francisco de Assis da Costa Neto Universidade Federal de Campina Grande, Campina Grande

DOI:

https://doi.org/10.18378/rvads.v11i2.3993

Keywords:

Linear regression, rainfall variability, climatic series

Abstract

In Bom Jesus city, the temporal variability of precipitation characteristics are from different active weather systems. Often the lack of rain for extended periods, causing serious problems for society, agricultural and natural ecosystems. The objective is to analyze the relationship between the number of days with rain and precipitation in the city under study between the 1960-2014 period and its influence among Niño(a) phenomena, we used the daily data of rainfall year 1960-2014 provided by Superintendence of Northeast Development (SUDENE) and the Company's extension of the Piaui state (EMTERPI). The use of statistical package spreadsheet for graphing with monthly variability of days with rainfall events (DCC). In addition to the data mentioned, we used the data intensity of ENSO, obtained from the service of the USA National Climatological - NOAA for the same period. Analyses were performed for every month of the year in study of Bom Jesus city, generating information that will serve as a code for proper use of water for agriculture, irrigation, power generation, water and natural resources and the urban water supply/rural and local economy. The analysis of 1960-2014 data collection allowed that end: In the years where rainfall was below average (984.8 mm), there were better temporal distribution of rainfall, the opposite of when it rained above average. There was an increase in precipitation and number of days with rain in the 1st quarter of the year; while on the 2nd and 4th quarter is reducing both the rainfall and the number of rainy days, the number of days with extreme rains were above or below the average were not explicitly associated with ENSO.

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Author Biographies

Raimundo Mainar Medeiros, Universidade Federal de Campina Grande, Campina Grande

Graduado, mestre e doutor em meteorologia, Universidade Federal de Campina Grande, especialização em meio ambiente e gestão de recurso hídricos.

José Ivaldo Barbosa de Brito, Universidade Federal de Campina Grande, Campina Grande

Professor Doutor do Departamento de Ciências Atmosféricas, Universidade Federal de Campina Grande, Brasil.

Virgínia Mirtes de Alcântara Silva, Universidade Federal de Campina Grande, Campina Grande

Doutoranda em Recursos Naturais, Universidade Federal de Campina Grande, PB, Brasil.

Valneli da Silva Melo, Universidade Federal de Campina Grande, Campina Grande

Mestra em Meteorologia, Universidade Federal de Campina Grande, PB, Brasil.

Francisco de Assis da Costa Neto, Universidade Federal de Campina Grande, Campina Grande

Especialista em Engenharia Civil, Universidade Federal de Campina Grande, PB, Brasil.

Published

18-04-2016

How to Cite

MEDEIROS, R. M.; BRITO, J. I. B. de; SILVA, V. M. de A.; MELO, V. da S.; COSTA NETO, F. de A. da. El Niño/La Niña influence in number of days with rain in Bom Jesus - Piauí, Brazil. Revista Verde de Agroecologia e Desenvolvimento Sustentável, [S. l.], v. 11, n. 2, p. 16–23, 2016. DOI: 10.18378/rvads.v11i2.3993. Disponível em: https://www.gvaa.com.br/revista/index.php/RVADS/article/view/3993. Acesso em: 14 oct. 2024.

Issue

Section

INTERDISCIPLINARY

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