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Title: Simulation and optimization for irrigation and crop planning
Authors: Darshana
Pandey, Ashish
Ostrowski M.
Pandey R.P.
Published in: Irrigation and Drainage
Abstract: In this study, simulation and optimization models were assembled for the optimization of irrigation systems and their operation. The simulation model CROPWAT was used for estimation of the crop water requirement, time and depth. The evolutionary algorithm (GANetXL) was used for the optimal planning of cropping pattern, maximization of net benefits and minimization of irrigation water requirements for the study area of Holeta catchment, Ethiopia. The study area encompasses three command areas, i.e. farm A, farm B and Tsedey State Farm, and five different type of crops, i.e. potato, tomato, apple, peach and winter wheat. The simulation results of the CROPWAT model illustrated that crop water requirement for apple was highest (993mm), followed by peach (908mm), tomato (470mm), potato (443mm) and wheat (294mm). The study reveals that fruit crops have more crop water requirements than cereals. The results of the GANetXL show that when the cropped area and water allocated was varied between extreme values, 23% of water can be saved. The total benefit from the study area can be enhanced by USD 34ha-1 and can be helpful in improving the economic conditions of the farmers. © 2011 John Wiley & Sons, Ltd.
Citation: Irrigation and Drainage, 61(2): 178-188
Issue Date: 2012
Keywords: CROPWAT model
Genetic algorithm
ISSN: 15310353
Author Scopus IDs: 37118396500
Author Affiliations: Darshana, Department of Water Resources Development and Management, IIT Roorkee, Roorkee, India
Pandey, A., Department of Water Resources Development and Management, IIT Roorkee, Roorkee, India
Ostrowski, M., T.U. Darmstadt, Germany
Pandey, R.P., National Institute of Hydrology Roorkee, Roorkee, India
Funding Details: 
Corresponding Author: Pandey, A.; Department of Water Resources Development and Management, , Roorkee, India; email:
Appears in Collections:Journal Publications [WR]

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