SPATIAL VARIABILITY OF MONTHLY 75 PERCENTIL PRECIPITATION FOR ESPÍRITO SANTO STATE – BRAZIL

Authors

  • Julião Soares de Souza Lima
  • Samuel Assis Silva
  • Paula Mauri Bernardes
  • Abel Souza Fonseca
  • João Marcelo Soares Pereira

DOI:

https://doi.org/10.13083/reveng.v24i5.700

Keywords:

geoestatística, postos pluviométricos, semivariograma

Abstract

Knowing the amount, intensity and spatial distribution of rainfall contribute to management actions in various sectors of human activity. This work aimed to study the spatial variability of rainfall in the state of the Espírito Santo- Brazil for each month using observation stations of the National Water Agency (NWA), with intervals of observations of 25 to 70 years. By analyzing the monthly precipitation series found the presence of high total amplitude in the data. And thus it was decided to work with the value of the percentiles 75 series each month as the highest rainfall, preventing inform climate anomalies. Data were analyzed by classical statistic measures determining the position and dispersion. Following used geostatistics to defne semivariograms and construction of maps of the spatial distribution of rainfall in each month, using the ordinary kriging. The months with minor occurrences of the percentile 75, setting the dry season, were from april to september. Percentiles 75 Monthly rainfall has strong spatial dependence, except in january, and the spatial dependence ranges vary from 41.6 to 210.6 km between the months. The spatial distribution of percentiles 75 of rainfall showed different microclimates in the state, showing that the municipalities that make up the northwest region has the lowest rainfall, especially in June. The months december, november and january have greater height of rainfall.

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Published

2017-01-26

How to Cite

Lima, J. S. de S., Silva, S. A., Bernardes, P. M., Fonseca, A. S., & Pereira, J. M. S. (2017). SPATIAL VARIABILITY OF MONTHLY 75 PERCENTIL PRECIPITATION FOR ESPÍRITO SANTO STATE – BRAZIL. Engineering in Agriculture, 24(5), 393–405. https://doi.org/10.13083/reveng.v24i5.700

Issue

Vol. 24 No. 5 (2016)

Section

Agricultural Meteorology

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