In this study, regarding to special condition of Sistan region, Stochastic Helmand River flow in border of Iran and direct relation between farmer’s income and cost with water flow of Chahnimeh reservoir, to allocate water stochastic dynamic programming and markov chain were used. For this reason first data series were gathered for 20 (1999-2009) years. Then a good model was made to show the region condition. Finally, regarding to different states of system in farming season and their probabilities, water allocate optimally between Sistan, Zahak and Miankangi and cropping area were determined. Results show that using stochastic dynamic programming reservoir ‘water was optimally managed, water demand was determined in each area and cropping area was estimated. Therefore, this model is suggested to Chahnimeh Reservoir management.
Kehkha, A. A., & Mosannan Mozafari, M. (2014). Optimal Water Allocation of Chahnimeh to Sistan Agricultural Sector by Stochastic Dynamic Programming. Agricultural Economics, 8(1), 47-62.
MLA
Ahmad Ali Kehkha; Mahdieh Mosannan Mozafari. "Optimal Water Allocation of Chahnimeh to Sistan Agricultural Sector by Stochastic Dynamic Programming". Agricultural Economics, 8, 1, 2014, 47-62.
HARVARD
Kehkha, A. A., Mosannan Mozafari, M. (2014). 'Optimal Water Allocation of Chahnimeh to Sistan Agricultural Sector by Stochastic Dynamic Programming', Agricultural Economics, 8(1), pp. 47-62.
VANCOUVER
Kehkha, A. A., Mosannan Mozafari, M. Optimal Water Allocation of Chahnimeh to Sistan Agricultural Sector by Stochastic Dynamic Programming. Agricultural Economics, 2014; 8(1): 47-62.
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