Sensitivity Analysis of Aquacrop Model for Barley in Pakdasht Region

In recent years, a lot of research has been done on the Aquacrop model, the results show that this model simulates the product performance for deficit irrigation conditions. But this model, like other models, is sensitive to values of independent variables (model inputs). In this research, the sensi...

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Main Authors: H. Karimi Avargani, A. Rahimikhoob, M. H. Nazarifar
Format: Article
Language:fas
Published: Isfahan University of Technology 2019-12-01
Series:علوم آب و خاک
Subjects:
Online Access:http://jstnar.iut.ac.ir/article-1-3672-en.html
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spelling doaj-f2533a78897244838a86f0b52f1eef3a2021-04-20T08:18:13ZfasIsfahan University of Technology علوم آب و خاک2476-35942476-55542019-12-012335363Sensitivity Analysis of Aquacrop Model for Barley in Pakdasht RegionH. Karimi Avargani0A. Rahimikhoob1M. H. Nazarifar2 1. Irrigation and Drainage Engineering Department, Aburaihan College, University of Tehran, Tehran, Iran. 1. Irrigation and Drainage Engineering Department, Aburaihan College, University of Tehran, Tehran, Iran. 1. Irrigation and Drainage Engineering Department, Aburaihan College, University of Tehran, Tehran, Iran. In recent years, a lot of research has been done on the Aquacrop model, the results show that this model simulates the product performance for deficit irrigation conditions. But this model, like other models, is sensitive to values of independent variables (model inputs). In this research, the sensitivity of the Aquacrop model was analyzed for 4 input parameters of reference evapotranspiration, normalized water productivity, initial canopy cover percentage and maximum canopy cover for barley. Irrigation treatments included full irrigation and two deficit irrigation treatments of 80% and 60%, the experiment was done in 2014-15 growing season in the field of Abourihan College. The values of measured biomass were used as the base values for treatments. The Beven’s method (Beven et al., 1979) was used for sensitivity analysis of Aquacrop model. The results showed that the model is most sensitive to the reference crop evapotranspiration, So the sensitivity coefficient for this parameter for full irrigation treatments, 80% full irrigation and 60% full irrigation were -1.1, -1.2 and -2.3 respectively. The negative sign indicates that if the value of reference evapotranspiration input is exceeded the actual value into the model, Yield performance is simulated less than actual value. In the meantime, the higher the degree of deficit irrigation, the greater the sensitivity of the model.http://jstnar.iut.ac.ir/article-1-3672-en.htmlmaximum canopy covernormalized water productivityreference evapotranspirationsimulation of crop growing
collection DOAJ
language fas
format Article
sources DOAJ
author H. Karimi Avargani
A. Rahimikhoob
M. H. Nazarifar
spellingShingle H. Karimi Avargani
A. Rahimikhoob
M. H. Nazarifar
Sensitivity Analysis of Aquacrop Model for Barley in Pakdasht Region
علوم آب و خاک
maximum canopy cover
normalized water productivity
reference evapotranspiration
simulation of crop growing
author_facet H. Karimi Avargani
A. Rahimikhoob
M. H. Nazarifar
author_sort H. Karimi Avargani
title Sensitivity Analysis of Aquacrop Model for Barley in Pakdasht Region
title_short Sensitivity Analysis of Aquacrop Model for Barley in Pakdasht Region
title_full Sensitivity Analysis of Aquacrop Model for Barley in Pakdasht Region
title_fullStr Sensitivity Analysis of Aquacrop Model for Barley in Pakdasht Region
title_full_unstemmed Sensitivity Analysis of Aquacrop Model for Barley in Pakdasht Region
title_sort sensitivity analysis of aquacrop model for barley in pakdasht region
publisher Isfahan University of Technology
series علوم آب و خاک
issn 2476-3594
2476-5554
publishDate 2019-12-01
description In recent years, a lot of research has been done on the Aquacrop model, the results show that this model simulates the product performance for deficit irrigation conditions. But this model, like other models, is sensitive to values of independent variables (model inputs). In this research, the sensitivity of the Aquacrop model was analyzed for 4 input parameters of reference evapotranspiration, normalized water productivity, initial canopy cover percentage and maximum canopy cover for barley. Irrigation treatments included full irrigation and two deficit irrigation treatments of 80% and 60%, the experiment was done in 2014-15 growing season in the field of Abourihan College. The values of measured biomass were used as the base values for treatments. The Beven’s method (Beven et al., 1979) was used for sensitivity analysis of Aquacrop model. The results showed that the model is most sensitive to the reference crop evapotranspiration, So the sensitivity coefficient for this parameter for full irrigation treatments, 80% full irrigation and 60% full irrigation were -1.1, -1.2 and -2.3 respectively. The negative sign indicates that if the value of reference evapotranspiration input is exceeded the actual value into the model, Yield performance is simulated less than actual value. In the meantime, the higher the degree of deficit irrigation, the greater the sensitivity of the model.
topic maximum canopy cover
normalized water productivity
reference evapotranspiration
simulation of crop growing
url http://jstnar.iut.ac.ir/article-1-3672-en.html
work_keys_str_mv AT hkarimiavargani sensitivityanalysisofaquacropmodelforbarleyinpakdashtregion
AT arahimikhoob sensitivityanalysisofaquacropmodelforbarleyinpakdashtregion
AT mhnazarifar sensitivityanalysisofaquacropmodelforbarleyinpakdashtregion
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