Optimization of agricultural water resources in Zhangweinan River Irrigation Area
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Abstract:
The study developed a linear fractional two stage programming (FTSP) model for agricultural water management and programming in Zhangweinan River Irrigation Area, China. The developed model incorporated the approaches of two-stage stochastic programming (TSP) and linear fractional programming (LFP) within a general optimization framework, and these uncertainties expressed as both fractional and probability distributions can be addressed. Moreover, the model can reflect tradeoffs between conflicting economic benefits and the associated penalties attributed to the violation of irrigation targets. The results demonstrated that different pre-regulating irrigation target policies lead to different system benefit and target-violation risk, and our optimized scenario balanced the system benefit and irrigation target violating risk; water allocation rate of the two channels are different under different scenarios, and all the fifteen subareas received allocated water flow under high inflow level.
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