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Optimal crop water allocation based on constraint-state method and nonnormal stochastic variable

Integrated and holistic approach of water resources management is important for sustainability. Since the optimum use of water resources needs taking into account different environmental issues. Accordingly, the use of supportive models in decision making as an effective tool is significantly import...

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Main Authors:	Kaviani, S., Hassanli, A.M., Homayounfar, M.
Format:	Article
Language:	English
Published:	Springer Verlag 2015
Subjects:	T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.um.edu.my/13934/1/Optimal_Crop_Water_Allocation_Based_on_Constraint-State_Method.pdf http://eprints.um.edu.my/13934/ http://link.springer.com/article/10.1007%2Fs11269-014-0856-z
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spelling	my.um.eprints.139342019-09-11T04:39:27Z http://eprints.um.edu.my/13934/ Optimal crop water allocation based on constraint-state method and nonnormal stochastic variable Kaviani, S. Hassanli, A.M. Homayounfar, M. T Technology (General) TA Engineering (General). Civil engineering (General) Integrated and holistic approach of water resources management is important for sustainability. Since the optimum use of water resources needs taking into account different environmental issues. Accordingly, the use of supportive models in decision making as an effective tool is significantly important. To addressing uncertainty in crop water allocation, several methodologies have been proposed. The most of these models consider rainfall as a stochastic variable affecting soil moisture. Applying a new methodology/model while considering the stochastic variable in nonnormal state and uncertainties for both irrigation depth and soil moisture looks more realistic. In this research, a mathematical model was developed based on Constraint-State equation optimization model and Beta function. The first and the second moments of soil moisture are used as constraints in optimization process. This model uses the soil moisture budget equation for a specific plant (winter wheat) on a weekly basis, considering the root depth, soil moisture, irrigation depth, rainfalls, evapotranspiration, leaching depth, soil physical properties and a stochastic variable. The model was written in MATLAB and was run for winter wheat in Badjgah, south of Iran. The results were compared with the results obtained from a simulation model. Based on the results, the optimum net irrigation depth of winter wheat including the rainfall was 306.2 mm. The insignificant difference of simulation and optimization results showed that, the optimization model works properly and is acceptable for optimization of irrigation depth, as its reliability index is 96.86. Springer Verlag 2015-03 Article PeerReviewed application/pdf en http://eprints.um.edu.my/13934/1/Optimal_Crop_Water_Allocation_Based_on_Constraint-State_Method.pdf Kaviani, S. and Hassanli, A.M. and Homayounfar, M. (2015) Optimal crop water allocation based on constraint-state method and nonnormal stochastic variable. Water Resources Management, 29 (4). pp. 1003-1018. ISSN 0920-4741 http://link.springer.com/article/10.1007%2Fs11269-014-0856-z DOI: 10.1007/s11269-014-0856-z
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
language	English
topic	T Technology (General) TA Engineering (General). Civil engineering (General)
spellingShingle	T Technology (General) TA Engineering (General). Civil engineering (General) Kaviani, S. Hassanli, A.M. Homayounfar, M. Optimal crop water allocation based on constraint-state method and nonnormal stochastic variable
description	Integrated and holistic approach of water resources management is important for sustainability. Since the optimum use of water resources needs taking into account different environmental issues. Accordingly, the use of supportive models in decision making as an effective tool is significantly important. To addressing uncertainty in crop water allocation, several methodologies have been proposed. The most of these models consider rainfall as a stochastic variable affecting soil moisture. Applying a new methodology/model while considering the stochastic variable in nonnormal state and uncertainties for both irrigation depth and soil moisture looks more realistic. In this research, a mathematical model was developed based on Constraint-State equation optimization model and Beta function. The first and the second moments of soil moisture are used as constraints in optimization process. This model uses the soil moisture budget equation for a specific plant (winter wheat) on a weekly basis, considering the root depth, soil moisture, irrigation depth, rainfalls, evapotranspiration, leaching depth, soil physical properties and a stochastic variable. The model was written in MATLAB and was run for winter wheat in Badjgah, south of Iran. The results were compared with the results obtained from a simulation model. Based on the results, the optimum net irrigation depth of winter wheat including the rainfall was 306.2 mm. The insignificant difference of simulation and optimization results showed that, the optimization model works properly and is acceptable for optimization of irrigation depth, as its reliability index is 96.86.
format	Article
author	Kaviani, S. Hassanli, A.M. Homayounfar, M.
author_facet	Kaviani, S. Hassanli, A.M. Homayounfar, M.
author_sort	Kaviani, S.
title	Optimal crop water allocation based on constraint-state method and nonnormal stochastic variable
title_short	Optimal crop water allocation based on constraint-state method and nonnormal stochastic variable
title_full	Optimal crop water allocation based on constraint-state method and nonnormal stochastic variable
title_fullStr	Optimal crop water allocation based on constraint-state method and nonnormal stochastic variable
title_full_unstemmed	Optimal crop water allocation based on constraint-state method and nonnormal stochastic variable
title_sort	optimal crop water allocation based on constraint-state method and nonnormal stochastic variable
publisher	Springer Verlag
publishDate	2015
url	http://eprints.um.edu.my/13934/1/Optimal_Crop_Water_Allocation_Based_on_Constraint-State_Method.pdf http://eprints.um.edu.my/13934/ http://link.springer.com/article/10.1007%2Fs11269-014-0856-z
_version_	1646210134001582080
score	13.211869

Optimal crop water allocation based on constraint-state method and nonnormal stochastic variable

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