Showing 2 results for Simulation.
J. Torkmani, Sh. Shajari,
Volume 12, Issue 44 (7-2008)
Abstract
The main objective of this paper is to study the differential impacts of various irrigation water pricing policies. The methodology used is based upon Multi-Attribute Utility Theory (MAUT) mathematical programming models and also simulation. Two kinds of data needed to feed the models were obtained from official records and surveying. The analysis of water pricing policy indicates that the most important relative savings take place in the more conservative farmers due to their risk-aversion behavior. Also it can be seen that in the elastic segments of the demand curves the increase in the price of water encourages great saving in consumption due to changes in mixed crops, crops production by deficit irrigation methods and production of rain-fed crops. Results clearly demonstrate that each homogenous group of farmers displays different behavior patterns related to this natural resource. Therefore, this shows the usefulness of differential analysis in evaluating the impact of water pricing policy.
T. Honar, A. Sabet-Sarvestani, A. Sepaskhah, A. A. Kamgar-Haghighi1, Sh. Shams,
Volume 16, Issue 59 (4-2012)
Abstract
In recent years, simulatiom modelling of yield has been the focus of attention for many researchers. Because, while reducing adminestrative costs, it can easily provide simulation models of different situations. In this study, while a subroutine on simulation of canola was added to CRPSM model, effect of different water treatments on canola was also investigated. In this research, canola (Talaye) under 5 irrigation treatments (full irrigation treatment during the growing period, water stress treatment at the spring re-growth stage, the flowering stage and pod formation, the grain formation stage and dry land treatment) was sown in complete randomized block designs at the college of Agriculture, Shiraz University during 2007-2008, and then the model was calibrated based on available information (soil-location -plant-water). Review of statistical indicators between simulated and measured yield show high accuracy in the estimation of crop yield (R2=0.98) and soil water content. The result of model validation with independent data series also showed that the result of soil water content is desirable except in dry treatment, and the corrolation coeficient between simulated and measured crop yield (R2=0.98) was acceptable.
