Risk Minimization Model for River Water Quality Management

Methodology for minimization of risk in a river water quality management problem is presented. The risk minimization model is developed to minimize the fuzzy risk of low water quality along a river in the face of conflict among various stake holders.The model consists of three parts: a water quality simulation model, a risk evaluation model with uncertainty analysis and an optimization model. Fuzzy multiobjective programming is used to develop the multiobjective model. Probabilistic Global Search Laussane, a global search algorithm is used for the non-linear optimization. The result of the model is compared with the result of FWLAM, when the methodology is applied to the case study of Tunga-Bhadra River in southern India