Safavi, H.R., Alijanian, M.A. (2011). Optimal crop planning and conjunctive use of surface water and groundwater resources using fuzzy dynamic programming, J. of Irrigation and Drainage Engineering, Vol. 137, No. 6. pp 383-397.
Optimal Crop Planning and Conjunctive Use of Surface Water and Groundwater
Resources Using Fuzzy Dynamic Programming
Optimal crop planning and conjunctive use of surface water and groundwater resources are imperative for the sustainable management of water resources, especially in semiarid regions. In recent years, considerable attention has been given to crop planning and water resources management under uncertainties caused by climate changes that affect irrigation planning in terms of decisions to determine the amounts of water that can/must be allocated. In this paper, optimal crop planning and conjunctive use of surface water and groundwater are developed for the Najafabad plain, a part of the Zayandehrood River Basin in west-central Iran. The fuzzy inference system is used to account for the experience and expert judgments of decision makers and farmers to obtain an optimal crop planning and cultivation with a reliable water demand based on climate conditions. In the present work, fuzzy regression is used for considering uncertainty and ambiguity in the data used in simulation model as well as the uncertainties in interactions between surface water and groundwater. The objective function of the optimization model is to minimize shortages in supplying for irrigation demands. The results are applicable to a wide range of climate conditions.
CE Database subject headings: Crop planning; Conjunctive use; Monthly water demand; Optimization; Fuzzy dynamic programming; Fuzzy inference system.