SPATIAL VARIABILITY OF THE RAINFALL EROSIVE POTENTIAL IN THE STATE OF MATO GROSSO DO SUL, BRAZIL


Autoria(s): Oliveira, Paulo Tarso Sanches de; Rodrigues, Dulce Buchala Bicca; Alves Sobrinho, Teodorico; Carvalho, Daniel F. de; Panachuki, Eloi
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

01/11/2013

01/11/2013

2012

Resumo

Information about rainfall erosivity is important during soil and water conservation planning. Thus, the spatial variability of rainfall erosivity of the state Mato Grosso do Sul was analyzed using ordinary kriging interpolation. For this, three pluviograph stations were used to obtain the regression equations between the erosivity index and the rainfall coefficient EI30. The equations obtained were applied to 109 pluviometric stations, resulting in EI30 values. These values were analyzed from geostatistical technique, which can be divided into: descriptive statistics, adjust to semivariogram, cross-validation process and implementation of ordinary kriging to generate the erosivity map. Highest erosivity values were found in central and northeast regions of the State, while the lowest values were observed in the southern region. In addition, high annual precipitation values not necessarily produce higher erosivity values.

Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)

ConselhoNacional de Desenvolvimento Cientifico e Tecnologico - CNPq

Fundacao de Apoio ao e Desenvolvimento do Ensino, Ciencia e Tecnologia do Estado do Mato Grosso do Sul - FUNDECT

FUNDECT (Fundacao de Apoio ao Desenvolvimento do Ensino, Ciencia e Tecnologia do Estado de Mato Grosso do Sul)

Identificador

ENGENHARIA AGRICOLA, JABOTICABAL, v. 32, n. 1, supl., Part 1-2, pp. 69-79, JAN-FEB, 2012

1809-4430

http://www.producao.usp.br/handle/BDPI/37263

10.1590/S0100-69162012000100008

http://dx.doi.org/10.1590/S0100-69162012000100008

Idioma(s)

eng

Publicador

SOC BRASIL ENGENHARIA AGRICOLA

JABOTICABAL

Relação

ENGENHARIA AGRICOLA

Direitos

openAccess

Copyright SOC BRASIL ENGENHARIA AGRICOLA

Palavras-Chave #WATER EROSION #RAINFALL EROSIVITY INDEX #GEOSTATISTICS #PATTERNS #AGRICULTURAL ENGINEERING
Tipo

article

original article

publishedVersion