<b>Spatial variability of hydraulic conductivity and water infiltration in the soil</b> - DOI: 10.4025/actasciagron.v32i1.959

  • Clementina Scherpinski UNIOESTE
  • Miguel Angel Uribe Opazo UNIOESTE
  • Marcio Antonio Vilas Boas UNIOESTE
  • Silvio César Sampaio UNIOESTE
  • Jerry Adriani Johann UNIOESTE
Keywords: Guelph permeameter, geostatistics, spatial autocorrelation

Abstract

When cultivated areas are used with intense agricultural production, the soil presents spatial and temporal alterations in its hydrophysical attributes so that the economical viability of the agricultural production depends on those attributes, requiring detailed studies consequently about the spatial variability of the soil. Thus, the objective of this work was to evaluate the spatial variability of the saturated hydraulic conductivity and water infiltration in the soil, in an area of 20 ha, characterized by intensive grain production, was used a grid of 50 x 50 m grating, using the Guelph Permeameter. In the spatial variability analyses, geostatistics methods were used. It was concluded that the hydrophysical attributes studied presented structures of spatial dependence and behaved proportionally, but did not show spatial correlation in the 50 m density of studied.

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Author Biography

Clementina Scherpinski, UNIOESTE
Atualmente é professor titular da Secretaria de Estado da Educação do Paraná (SEED) e professor Colaborador da Universidade Estadual do Oeste do Paraná, campus de Cascavel. Atua no Ensino de Matemática desde 1994 e como professor colaborador na Universidade Estadual do Oeste do Paraná desde 2007. Faz parte de grupo de pesquisa da Unioeste atuando principalmente nos seguintes temas: Geoestatística, Métodos Estatísticos e Variabilidade Espacial. Currículo Lattes
Published
2009-11-04
How to Cite
Scherpinski, C., Uribe Opazo, M. A., Vilas Boas, M. A., Sampaio, S. C., & Johann, J. A. (2009). <b>Spatial variability of hydraulic conductivity and water infiltration in the soil</b&gt; - DOI: 10.4025/actasciagron.v32i1.959. Acta Scientiarum. Agronomy, 32(1), 7-13. https://doi.org/10.4025/actasciagron.v32i1.959
Section
Agricultural Engineering

 

2.0
2019CiteScore
 
 
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2.0
2019CiteScore
 
 
60th percentile
Powered by  Scopus