Serviços Personalizados
Journal
Artigo
Indicadores
Citado por SciELO
Acessos
Links relacionados
Citado por Google
Similares em SciELO
Similares em Google
Compartilhar
DYNA
versão impressa ISSN 0012-7353versão On-line ISSN 2346-2183
Resumo
FARIAS, Bettys; MARQUEZ, Adriana; GUEVARA, Edilberto e REY, Demetrio. Geostatistical modeling of surface water balance (SWB) under variable soil moisture conditions in the Pao river basin, Venezuela. Dyna rev.fac.nac.minas [online]. 2020, vol.87, n.213, pp.192-201. ISSN 0012-7353. https://doi.org/10.15446/dyna.v87n213.84446.
The aim of this paper is to develop a geostatistical model for the surface water balance (SWB) under variable soil moisture conditions of the Pao river basin, Venezuela. The novelty of the research consists in identifying a statistical model that will predict the spatial variability of hydro-meteorological data in the basin. A series of meteorological data from 25 stations for the period 2015-2017 were used in connection with the ordinary kriging technique. Infiltration values were analyzed considering three different soil moisture conditions: dry, normal and wet. To represent the semi variances of the SWB variables, the function J-Bessel was used. An adequate mathematical adjustment between observed and predicted values of SWB variables has been found expressed by the correlation coefficient (R) as followes: for precipitation, 0.54-0.81; for infiltration, 0.68-0.95; for runoff, 0.68-0.92: for evapotranspiration, 0.53-0.86; and for the accumulative volume, 0.53-0.95.
Palavras-chave : Geostatistics modeling; kriging; semivariance analysis; water balance; infiltration; soil moisture.