Water Resources Managment Model Of Bayannaoer Under Uncertainty

In this study, an inexact chance-constrained water resources management model was developed for regional water resources planning in the Bayannaoer, China. Two available water resources and multiple water users were considered in the optimization model, with net system benefit, resource cost, water supply cost, and wastewater treatment cost of each unit being analyzed. Interval-parameter linear programming (ILP) coupled with chance-constrained programming (CCP) was used to tackle uncertainties described by both interval values and probability distributions. A number of violating probabilities corresponding to different Yellow River inflow levels were examined, and the results indicated that different inflow levels could lead to different water allocation schemes with varied system benefits.In general, the model can provide acceptable water assignments under water shortage with diverse inflow probabilities. The modeling results were valuable for supporting the adjustment or justification of the existing water allocation schemes within a complicated water resources system under uncertainty.