Alternative methods of estimation of reference evapotranspiration in the Yauri station (Cusco, Peru)
Descripción del Articulo
Reference evapotranspiration (ΕΤo) is a major component of the hydrological cycle and its estimation is essential for the net irrigation requirement, planning and management of regional water resources. The objective was to evaluate the performance of different empirical methods to estimate the refe...
Autores: | , , |
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Formato: | artículo |
Fecha de Publicación: | 2019 |
Institución: | Universidad Nacional del Altiplano |
Repositorio: | Revista de Investigaciones Altoandinas |
Lenguaje: | español |
OAI Identifier: | oai:ojs.pkp.sfu.ca:article/175 |
Nivel de acceso: | acceso abierto |
Materia: | High Apurímac basin Hargreaves-Samani Penman-Monteith Ravazzani Serruto Turc Cuenca Alto Apurímac Hargreaves-Saman |
Sumario: | Reference evapotranspiration (ΕΤo) is a major component of the hydrological cycle and its estimation is essential for the net irrigation requirement, planning and management of regional water resources. The objective was to evaluate the performance of different empirical methods to estimate the reference evapotranspiration and propose an alternative to estimate the ETo in cases of limitation of meteorological data at the Yauri weather station. The methodology consisted of comparing the results of different empirical methods with the evapotranspiration estimated using the standard method of FAO-56 Penman-Monteith. The performance of the methods was compared using a qualitative evaluation (scatter plots) and quantitative statistical indicators percentage error (PE), root of the mean square error (RMSE), concordance index (d), correlation coefficient (r) and confidence index (c). The results are encouraging for the HS_Berti method because statistically it has an optimal performance with respect to the other methods, with an RMSE=0.22mm / day, PE=3.24%, d=0.29, r=0.95 and c=0.27. It is concluded that the HS_Berti method, having the best performance, can be used as an alternative for the estimation of ETo in cases of limited meteorological data. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).