Chapter
Apr 26, 2012
Increasing Field Work Productivity in Irrigation Evaluation Processes through the Use of Combined Irrigation Models
Authors: Sergio Lecina [email protected], Christopher M. U. Neale [email protected], Gary P. Merkley [email protected], and Carlos A. C. dos Santos, Ph.D. [email protected]Author Affiliations
Publication: World Environmental and Water Resources Congress 2009: Great Rivers
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.
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Copyright
© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Business management
- Construction engineering
- Construction management
- Drainage
- Economic factors
- Engineering fundamentals
- Field tests
- Irrigation
- Irrigation engineering
- Irrigation water
- Personnel management
- Practice and Profession
- Productivity
- Project management
- Surface irrigation
- Tests (by type)
- Water (by type)
- Water and water resources
- Water management
Authors
Affiliations
Visiting Post-doctoral Scholar, Dept. of Biological and Irrigation Engineering. Utah State University. 4105 Old Main Hill. Logan, UT 84322. USA.E-mail: [email protected]
Professor, Dept. of Biological and Irrigation Engineering. Utah State University. 4105 Old Main Hill. Logan, UT 84322. USA.E-mail: [email protected]
Professor, Dept. of Biological and Irrigation Engineering. Utah State University. 4105 Old Main Hill. Logan, UT 84322. USA.E-mail: [email protected]
Student, Dept. of Atmospheric Science. Federal University of Campina Grande. 882 Aprigio Veloso. Campina Grande, PB, 58429-900, Brazil.E-mail: [email protected]
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