Field evaluation of various mathematical models for furrow and border irrigation systems

In this study, three mathematical models in the SIRMOD package including the hydrodynamic (HD), zero inertia (ZI), and kinematic wave (KW) models were tested using the data from several field experiments for both border and furrow irrigation systems. Five data sets for borders and seven data sets fo...

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Published in:Soil and Water Research - UZEI (Czech Republic) Vol. 6; no. 2; pp. 91 - 101
Main Authors: Ebrahimian, H.,University of Tehran, Karaj (Iran Islamic Republic). Dept. of Irrigation and Reclamation Engineering, Liaghat, A.,University of Tehran, Karaj (Iran Islamic Republic). Dept. of Irrigation and Reclamation Engineering
Format: Journal Article
Language:English
Published: Prague Czech Academy of Agricultural Sciences (CAAS) 01.01.2011
Czech Academy of Agricultural Sciences
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ISSN:1801-5395, 1805-9384
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Summary:In this study, three mathematical models in the SIRMOD package including the hydrodynamic (HD), zero inertia (ZI), and kinematic wave (KW) models were tested using the data from several field experiments for both border and furrow irrigation systems. Five data sets for borders and seven data sets for furrows were used in this assessment. The results indicated that the performance of all models was satisfactory for the prediction of the advance and recession times. There was no difference in the prediction of the advance and recession times, and infiltrated and runoff volumes between the hydrodynamic and zero-inertia approaches of the SIRMOD software. The HD, ZI, and KW models predicted the recession times better than the advance times for both the experimental borders and furrows. The predicted advance and recession times were estimated by these models more accurately than the infiltrated and runoff volumes. Also the accuracy of these models for the prediction of the advance and recession times was better for the experimental furrows in comparison with the experimental borders.
Bibliography:F06
2011000604
http://www.agriculturejournals.cz/web/swr.htm
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ISSN:1801-5395
1805-9384
DOI:10.17221/34/2010-swr