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Prediction of evapotranspiration in a Mediterranean region using basic meteorological variables

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Prediction of evapotranspiration in a Mediterranean region using basic meteorological variables

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dc.contributor.author Jato-Espino, D. es_ES
dc.contributor.author Charlesworth, S. es_ES
dc.contributor.author Perales Momparler, Sara es_ES
dc.contributor.author Andrés Doménech, Ignacio es_ES
dc.date.accessioned 2020-09-09T03:31:42Z
dc.date.available 2020-09-09T03:31:42Z
dc.date.issued 2017-04 es_ES
dc.identifier.issn 1084-0699 es_ES
dc.identifier.uri http://hdl.handle.net/10251/149644
dc.description.abstract [EN] A critical need for farmers, particularly those in arid and semiarid areas is to have a reliable, accurate and reasonably accessible means of estimating the evapotranspiration rates of their crops to optimize their irrigation requirements. Evapotranspiration is a crucial process because of its influence on the precipitation that is returned to the atmosphere. The calculation of this variable often starts from the estimation of reference evapotranspiration, for which a variety of methods have been developed. However, these methods are very complex either theoretically and/ or because of the large amount of parameters on which they are based, which makes the development of a simple and reliable methodology for the prediction of this variable important. This research combined three concepts such as cluster analysis, multiple linear regression (MLR), and Voronoi diagrams to achieve that end. Cluster analysis divided the study area into groups based on its weather characteristics, whose locations were then delimited by drawing the Voronoi regions associated with them. Regression equations were built to predict daily reference evapotranspiration in each cluster using basic climate variables produced in forecasts made by meteorological agencies. Finally, the Voronoi diagrams were used again to regionalize the crop coefficients and calculate evapotranspiration from the values of reference evapotranspiration derived from the regression models. These operations were applied to the Valencian region (Spain), a Mediterranean area which is partly semiarid and for which evapotranspiration is a critical issue. The results demonstrated the usefulness and accuracy of the methodology to predict the water demands of crops and hence enable farmers to plan their irrigation needs. (C) 2016 American Society of Civil Engineers. es_ES
dc.description.sponsorship This paper was possible thanks to the research project RHIVU (Ref. BIA2012-32463), financed by the Spanish Ministry of Economy and Competitiveness with funds from the State General Budget (PGE) and the European Regional Development Fund (ERDF). es_ES
dc.language Inglés es_ES
dc.publisher American Society of Civil Engineers es_ES
dc.relation.ispartof Journal of Hydrologic Engineering es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Cluster analysis es_ES
dc.subject Crop coefficient es_ES
dc.subject Evapotranspiration es_ES
dc.subject Multiple linear regression es_ES
dc.subject Reference evapotranspiration es_ES
dc.subject Voronoi diagrams es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.title Prediction of evapotranspiration in a Mediterranean region using basic meteorological variables es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1061/(ASCE)HE.1943-5584.0001485 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//BIA2012-32463/ES/REHABILITACION HIDROLOGICA DE INFRAESTRUCTURAS VIALES URBANAS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.description.bibliographicCitation Jato-Espino, D.; Charlesworth, S.; Perales Momparler, S.; Andrés Doménech, I. (2017). Prediction of evapotranspiration in a Mediterranean region using basic meteorological variables. Journal of Hydrologic Engineering. 22(4):1-11. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001485 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1061/(ASCE)HE.1943-5584.0001485 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 11 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 22 es_ES
dc.description.issue 4 es_ES
dc.relation.pasarela S\321686 es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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