My SciELO
Services on Demand
Article
Indicators
Cited by SciELO
Related links
Similars in SciELO
Share
Revista Ciencias Técnicas Agropecuarias
On-line version ISSN 2071-0054
Abstract
ALVAREZ-SEVILLA, Isaí; BROWN-MANRIQUE, Oscar and DEL CID-COLINDRES, Erika Paola. Estimation of Hydrological Variables Using Regression Models in the Suchiate River Basin, Guatemala. Rev Cie Téc Agr [online]. 2017, vol.26, n.3, pp. 22-29. ISSN 2071-0054.
The objective of this work is to develop regression models for the estimation of hydrological variables in the Suchiate river basin, Guatemala, which contributes to the sustainable use of water in productive activities of irrigation and electric power production. Four models were obtained, one of the type Richards with an independent variable and three potential multiples of two and three independent variables that allow determining the flow rate, the coefficient of transposition and the intensity of the rain at the basin level. The Correlation Coefficient and the Average Percent Error were checked for their usefulness in order to be applied satisfactorily for predictive purposes
Keywords : flow simulation; hydrological variables; transposition coefficient.