GEOSTATISTICAL MODELING OF THE TEN-DAY RAINFALL IN MATO GROSSO STATE

Authors

  • Vanessa Rakel de Moraes DIAS UNEMAT
  • Fernando da Silva SALLO Universidade Federal do Mato Grosso
  • Luciana SANCHES Universidade Federal do Mato Grosso
  • Rivanildo DALLACORT UNEMAT

DOI:

https://doi.org/10.5016/geografia.v42i3.13092

Abstract

Mapping the spatial-temporal distribution of rainfall allows the analysis of tendencies and changes on local and regional scale, which is crucial for the development of environmental and agricultural projects. The objective of this paper is to adjust and choose semivariographic mathematical models to analyze the spatial variability of the 75 percentile rainfall in Mato Grosso State, covering October to March, to subsequently represent it on maps using Kriging techniques. Data from 155 weather stations in Mato Grosso S and around were used, with data for over ten years provided by the National Water Agency. The semivariograms were adjusted using the least squares method and chosen among spherical, exponential, and Gaussian models. The exponential model adjusted best to the experimental semivariograms using the criterion of standard deviation in reduced errors obtained from cross validation and level of dependence. The spatial variability of the rainfall was then mapped using Kriging techniques

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Published

2018-03-08

Issue

Vol. 42 No. 3 (2017): NÚMERO ESPECIAL - GEOPANTANAL

Section

Article

License

The authors maintain the copyright and grant GEOGRAFIA the right of first publication, with the articles simultaneously licensed under the Creative Commons BY 4.0 License, which allows sharing and adapting the articles for any purpose, as long as appropriate credits and provisions of image rights, privacy or moral rights. Other legal attributions can be accessed at: https://creativecommons.org/licenses/by/4.0/legalcode.en.

 

Geography, Rio Claro, SP, Brazil - eISSN 1983-8700 is licensed under the Creative Commons BY 4.0 License.

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