An inexact two-stage stochastic programming model for water resources management under uncertainty

An inexact two-stage stochastic programming (ITSP) model is proposed for wa ter resources management under uncertainty. The model is a hybrid of inexac t optimization and two-stage stochastic programming. It can reflect not onl y uncertainties expressed as probability distributions but also those being available as intervals. The solution method for ITSP is computationally ef fective, which makes it applicable to practical problems. The ITSP is appli ed to a hypothetical case study of water resources system operation. The re sults indicate that reasonable solutions have been obtained. They are furth er analyzed and interpreted for generating decision alternatives and identi fying significant factors that affect the system's performance. The informa tion obtained through these post-optimality analyses can provide useful dec ision support for water managers.