Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/15613
Título: Spatial distribution of top soil water content in an experimental catchment of Southeast Brazil
Título(s) alternativo(s): Distribuição espacial da umidade superficial do solo em uma bacia hidrográfica experimental do Sudeste do Brasil
Palavras-chave: Soil moisture – Spatial distribution
Geology – Statistical methods
Hydrology – Mantiqueira Range, State of Minas Gerais, Brazil
Solos – Umidade – Distribuição espacial
Geologia – Métodos estatísticos
Hidrologia – Serra da Mantiqueira, MG
Data do documento: Mai-2011
Editor: Universidade de São Paulo: Escola Superior de Agricultura "Luiz de Queiroz"
Citação: MELLO, C. R. de et al. Spatial distribution of top soil water content in an experimental catchment of Southeast Brazil. Scientia Agricola, Piracicaba, v. 68, n. 3, p. 285-294, May/June 2011.
Resumo: Soil water content is essential to understand the hydrological cycle. It controls the surface runoff generation, water infiltration, soil evaporation and plant transpiration. This work aims to analyze the spatial distribution of top soil water content and to characterize the spatial mean and standard deviation of top soil water content over time in an experimental catchment located in the Mantiqueira Range region, state of Minas Gerais, Brazil. Measurements of top soil water content were carried out every 15 days, between May/2007 and May/2008. Using time-domain reflectometry (TDR) equipment, 69 points were sampled in the top 0.2 m of the soil profile. Geostatistical procedures were applied in all steps of the study. First, the spatial continuity was evaluated, and the experimental semi-variogram was modeled. For the development of top soil water content maps over time a co-kriging procedure was used having the slope as a secondary variable. Rainfall regime controlled the top soil water content during the wet season. Land use was also another fundamental local factor. The spatial standard deviation had low values under dry conditions, and high values under wet conditions. Thus, more variability occurs under wet conditions.
URI: repositorio.ufla.br/jspui/handle/1/15613
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