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Optimal Crop Planning Using Chance Constrained Linear Programming Model

DSpace at IIT Bombay

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Title Optimal Crop Planning Using Chance Constrained Linear Programming Model
 
Creator ASOKARAJAN, A
ARUNKUMAR, R
JOTHIPRAKASH, V
 
Subject Annual probability levels; Chance constrained linear programming (CCLP); Crop planning; Monthly probability levels; Optimal operational strategies; Sri Ram Sagar Project
 
Description A monthly time-stepped chance constrained linear programming (CCLP) model was developed to derive optimal cropping patterns and optimal operational strategies for the Sri Ram Sagar Project, with stochastic inflows. The stochastic nature of the inflows was incorporated into the model in its equivalent deterministic form. These equivalent deterministic inflow values were estimated from the annual and monthly probability distribution of observed inflows, and named the chance constrained linear programming model-annual and chance constrained linear programming model-monthly, respectively. The models were solved for nine different dependable inflow levels, namely for 50, 55, 60, 65, 70, 75, 80, 85 and 90% in each CCLP. The results of the models were compared with respect to net benefit, irrigation intensity, total cropped area, optimal cropping pattern, optimal releases, evaporation loss and initial storages. Based on the results obtained, it can be concluded that, in CCLP optimization, the probability distribution of ‘model time period’ (t-month in this case) should be considered rather than the probability of ‘planning time period’ (year in this case).
 
Publisher IWA Publishing
 
Date 2012-07-17T10:27:55Z
2012-07-17T10:27:55Z
2011
 
Type Article
 
Identifier Water Policy,13(5)734-749
1366-7017
http://dspace.library.iitb.ac.in/jspui/handle/100/14393
 
Language English