Please use this identifier to cite or link to this item:
http://hdl.handle.net/10261/27810
Share/Export:
![]() |
|
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Title: | Increasing field work productivity in irrigation evaluation processes through the use of combined irrigation models |
Authors: | Lecina Brau, Sergio CSIC; Neale, C. M. U.; Merkley, G. P.; dos Santos, C. A. C. | Issue Date: | May-2009 | Publisher: | American Society of Civil Engineers | Citation: | Lecina, S., Neale, C.M.U., Merkley, G.P., dos Santos, C.A.C. 2009. Increasing field work productivity in irrigation evaluation processes through the use of combined irrigation models. Proceedings of World Environmental and Water Resources Congress 2009. Environmental and Water Resources Institute-ASCE. 17-21 de mayo. Kansas City (MO), EEUU. | Abstract: | A surface irrigation evaluation process in an irrigation project requires expensive field work. Models that reproduce irrigation events help to analyse the data obtained, and evaluate different scenarios of improvement. The use of combined models that reproduce the interaction between irrigation water and the conveyance and drainage network, agricultural production, and the environment can increase the productivity of the field work. Their results surpass the analyses based only on application efficiency, and provide a wide range of irrigation, hydrological and economic indicators. The application of one of these models (Ador-Simulation) in a study area of the Bear River irrigation project (UT) showed that an increase in irrigation efficiency from 56 to 77 % can be achieved optimizing current irrigation time. This results in a 27 % of water saving over the 2008 demand, and in a little increase in current low economic productivities. | Description: | 13 Pag., 2 Tabl., 4 Fig. | URI: | http://hdl.handle.net/10261/27810 |
Appears in Collections: | (EEAD) Comunicaciones congresos |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
LecinaS_CongEWRI09.pdf | 107,27 kB | Adobe PDF | ![]() View/Open |
Review this work
Page view(s)
277
checked on Aug 14, 2022
Download(s)
257
checked on Aug 14, 2022
Google ScholarTM
Check
WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.