Performance Evaluation and Sensitivity Analysis of Various Models of SIRMOD Software in Furrow Irrigation Design

As furrow irrigation is practiced on a large percentage of farm fields in Iran, the design and operation of this system calls for improvement. As collecting the necessary data to predict of advance and recession curves in a furrow requires field accurate measurements. These operations are costly and...

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Main Authors: M. M, S. B, R. L, M. B
Format: Article
Language:fas
Published: Marvdasht Branch, Islamic Azad University 2013-11-01
Series:مهندسی منابع آب
Subjects:
Online Access:https://wej.marvdasht.iau.ir/article_299_20e6a82ba36c860c3549ef9cf45cc926.pdf
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author M. M
S. B
R. L
M. B
author_facet M. M
S. B
R. L
M. B
author_sort M. M
collection DOAJ
description As furrow irrigation is practiced on a large percentage of farm fields in Iran, the design and operation of this system calls for improvement. As collecting the necessary data to predict of advance and recession curves in a furrow requires field accurate measurements. These operations are costly and time consuming and the use of approved models is advantageous. The main objective of this study was evaluating the hydrodynamic, zero inertia, and kinematic wave models prediction by field observation using the SIRMOD software. Sensitivity analysis for this software was performed by employing three input parameters: discharge, Manning's roughness coefficient and furrow slope. Field experiment performed at the Research Farm of Faculty of Water Sciences Engineering, the Shahid Chamran University of Ahvaz. Data were collected from three furrows, 60, 80 and 90 meters long, with three replications and three discharges of 1.0, 1.25 and 1.5 liters.sec-1. Four indices: 45 degree line (a), model average prediction error (Er), regression coefficient (R2) and average relative error of model (Ea) were used to evaluate the model’s predictions. The results of sensitivity analysis indicated that the SIRMOD software was sensitive to variations of input parameters. The predicted values of advance phase for all models were more than the observed values, but, generally, the amounts of (a) and R2 indicated that the hydrodynamic and zero inertia models had better performance in prediction of advance phase compared with the kinematic wave model. Moreover, the hydrodynamic and zero inertia models, as in the advance phase, predicted the regression phase better compared with the kinematic wave model.
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spelling doaj.art-cfb16c6dfa1848f683d53b4a9c1e68b02024-01-10T08:06:25ZfasMarvdasht Branch, Islamic Azad Universityمهندسی منابع آب2008-63772423-71912013-11-016شماره 186374299Performance Evaluation and Sensitivity Analysis of Various Models of SIRMOD Software in Furrow Irrigation DesignM. M0S. B1R. L2M. B3دانشجوی دکتری آبیاری و زهکشی دانشگاه شهید چمران اهوازاستاد گروه آبیاری و زهکشی دانشگاه شهید چمران اهوازدانشجوی دکتری آبیاری و زهکشی دانشگاه شهید چمران اهوازدکتری آبیاری و زهکشی دانشگاه شهید چمران اهوازAs furrow irrigation is practiced on a large percentage of farm fields in Iran, the design and operation of this system calls for improvement. As collecting the necessary data to predict of advance and recession curves in a furrow requires field accurate measurements. These operations are costly and time consuming and the use of approved models is advantageous. The main objective of this study was evaluating the hydrodynamic, zero inertia, and kinematic wave models prediction by field observation using the SIRMOD software. Sensitivity analysis for this software was performed by employing three input parameters: discharge, Manning's roughness coefficient and furrow slope. Field experiment performed at the Research Farm of Faculty of Water Sciences Engineering, the Shahid Chamran University of Ahvaz. Data were collected from three furrows, 60, 80 and 90 meters long, with three replications and three discharges of 1.0, 1.25 and 1.5 liters.sec-1. Four indices: 45 degree line (a), model average prediction error (Er), regression coefficient (R2) and average relative error of model (Ea) were used to evaluate the model’s predictions. The results of sensitivity analysis indicated that the SIRMOD software was sensitive to variations of input parameters. The predicted values of advance phase for all models were more than the observed values, but, generally, the amounts of (a) and R2 indicated that the hydrodynamic and zero inertia models had better performance in prediction of advance phase compared with the kinematic wave model. Moreover, the hydrodynamic and zero inertia models, as in the advance phase, predicted the regression phase better compared with the kinematic wave model.https://wej.marvdasht.iau.ir/article_299_20e6a82ba36c860c3549ef9cf45cc926.pdffurrow irrigationadvance phaserecession phasesensitivity analysissirmod
spellingShingle M. M
S. B
R. L
M. B
Performance Evaluation and Sensitivity Analysis of Various Models of SIRMOD Software in Furrow Irrigation Design
مهندسی منابع آب
furrow irrigation
advance phase
recession phase
sensitivity analysis
sirmod
title Performance Evaluation and Sensitivity Analysis of Various Models of SIRMOD Software in Furrow Irrigation Design
title_full Performance Evaluation and Sensitivity Analysis of Various Models of SIRMOD Software in Furrow Irrigation Design
title_fullStr Performance Evaluation and Sensitivity Analysis of Various Models of SIRMOD Software in Furrow Irrigation Design
title_full_unstemmed Performance Evaluation and Sensitivity Analysis of Various Models of SIRMOD Software in Furrow Irrigation Design
title_short Performance Evaluation and Sensitivity Analysis of Various Models of SIRMOD Software in Furrow Irrigation Design
title_sort performance evaluation and sensitivity analysis of various models of sirmod software in furrow irrigation design
topic furrow irrigation
advance phase
recession phase
sensitivity analysis
sirmod
url https://wej.marvdasht.iau.ir/article_299_20e6a82ba36c860c3549ef9cf45cc926.pdf
work_keys_str_mv AT mm performanceevaluationandsensitivityanalysisofvariousmodelsofsirmodsoftwareinfurrowirrigationdesign
AT sb performanceevaluationandsensitivityanalysisofvariousmodelsofsirmodsoftwareinfurrowirrigationdesign
AT rl performanceevaluationandsensitivityanalysisofvariousmodelsofsirmodsoftwareinfurrowirrigationdesign
AT mb performanceevaluationandsensitivityanalysisofvariousmodelsofsirmodsoftwareinfurrowirrigationdesign