Furrow Irrigation Management and Design Criteria Using Efficiency Parameters and Simulation Models

This study analyzes the relationship between the variables of furrow irrigation and the irrigation performance parameters, crop yield, and deep percolation as a basis for furrow irrigation design and management. Application efficiency (AE), requirement efficiency (RE), requirement distribution effic...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Holzapfel,Eduardo A., Leiva,Carlos, Mariño,Miguel A., Paredes,Jerónimo, Arumí,José L., Billib,Max
Lenguaje:English
Publicado: Instituto de Investigaciones Agropecuarias, INIA 2010
Materias:
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392010000200012
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:scielo:S0718-58392010000200012
record_format dspace
spelling oai:scielo:S0718-583920100002000122018-10-01Furrow Irrigation Management and Design Criteria Using Efficiency Parameters and Simulation ModelsHolzapfel,Eduardo A.Leiva,CarlosMariño,Miguel A.Paredes,JerónimoArumí,José L.Billib,Max furrow irrigation performance parameters model yield leaching This study analyzes the relationship between the variables of furrow irrigation and the irrigation performance parameters, crop yield, and deep percolation as a basis for furrow irrigation design and management. Application efficiency (AE), requirement efficiency (RE), requirement distribution efficiency (RDE), total distribution efficiency (TDE), and furrow irrigation management, operation, and design variables (inflow discharge, furrow length, and irrigation cutoff time) were correlated. The relationship between performance irrigation parameters and relative yield was also examined. In addition, environmental aspects related to leaching and runoff were also presented for each of the parameters. Study results indicate that increasing the length of the furrow reduces RE, RDE, and TDE values. However, an increase in inflow discharge and cutoff time increases efficiency. In contrast, an increase in furrow length increases AE while an increase in inflow discharge and cutoff time reduces it. Unlike AE, RE, RDE, and TDE parameters are well-correlated with relative yield. TDE and AE are recommended parameters for the design, management, and operation of furrow irrigation systems, in order to establish good irrigation practices, and to prevent contamination.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.70 n.2 20102010-06-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392010000200012en10.4067/S0718-58392010000200012
institution Scielo Chile
collection Scielo Chile
language English
topic furrow
irrigation
performance parameters
model
yield
leaching
spellingShingle furrow
irrigation
performance parameters
model
yield
leaching
Holzapfel,Eduardo A.
Leiva,Carlos
Mariño,Miguel A.
Paredes,Jerónimo
Arumí,José L.
Billib,Max
Furrow Irrigation Management and Design Criteria Using Efficiency Parameters and Simulation Models
description This study analyzes the relationship between the variables of furrow irrigation and the irrigation performance parameters, crop yield, and deep percolation as a basis for furrow irrigation design and management. Application efficiency (AE), requirement efficiency (RE), requirement distribution efficiency (RDE), total distribution efficiency (TDE), and furrow irrigation management, operation, and design variables (inflow discharge, furrow length, and irrigation cutoff time) were correlated. The relationship between performance irrigation parameters and relative yield was also examined. In addition, environmental aspects related to leaching and runoff were also presented for each of the parameters. Study results indicate that increasing the length of the furrow reduces RE, RDE, and TDE values. However, an increase in inflow discharge and cutoff time increases efficiency. In contrast, an increase in furrow length increases AE while an increase in inflow discharge and cutoff time reduces it. Unlike AE, RE, RDE, and TDE parameters are well-correlated with relative yield. TDE and AE are recommended parameters for the design, management, and operation of furrow irrigation systems, in order to establish good irrigation practices, and to prevent contamination.
author Holzapfel,Eduardo A.
Leiva,Carlos
Mariño,Miguel A.
Paredes,Jerónimo
Arumí,José L.
Billib,Max
author_facet Holzapfel,Eduardo A.
Leiva,Carlos
Mariño,Miguel A.
Paredes,Jerónimo
Arumí,José L.
Billib,Max
author_sort Holzapfel,Eduardo A.
title Furrow Irrigation Management and Design Criteria Using Efficiency Parameters and Simulation Models
title_short Furrow Irrigation Management and Design Criteria Using Efficiency Parameters and Simulation Models
title_full Furrow Irrigation Management and Design Criteria Using Efficiency Parameters and Simulation Models
title_fullStr Furrow Irrigation Management and Design Criteria Using Efficiency Parameters and Simulation Models
title_full_unstemmed Furrow Irrigation Management and Design Criteria Using Efficiency Parameters and Simulation Models
title_sort furrow irrigation management and design criteria using efficiency parameters and simulation models
publisher Instituto de Investigaciones Agropecuarias, INIA
publishDate 2010
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392010000200012
work_keys_str_mv AT holzapfeleduardoa furrowirrigationmanagementanddesigncriteriausingefficiencyparametersandsimulationmodels
AT leivacarlos furrowirrigationmanagementanddesigncriteriausingefficiencyparametersandsimulationmodels
AT marinomiguela furrowirrigationmanagementanddesigncriteriausingefficiencyparametersandsimulationmodels
AT paredesjeronimo furrowirrigationmanagementanddesigncriteriausingefficiencyparametersandsimulationmodels
AT arumijosel furrowirrigationmanagementanddesigncriteriausingefficiencyparametersandsimulationmodels
AT billibmax furrowirrigationmanagementanddesigncriteriausingefficiencyparametersandsimulationmodels
_version_ 1714205282926592000