Interval stochastic linear programming model for optimal water pollution management

An interval two-stage stochastic linear programming (ITSLP) model for optimal water pollution management at the watershed scale was developed. The modeling framework is established by incorporating the concept of two-stage stochastic programming within an interval-parameter optimization framework. The model can deal with the decision problem in water pollution management under random runoff and streamflow for a water pollution management scheme through minimizing the net direct expenditure on pollution abatement. The constraints included in the model were environmental capacity, farmland, domestic waste water treatment, rural wastes treatment, soil erosion, slope lands, land coverage, lake riparian vegetation buffer and technical constraint. The ITSLP model may help decision maker develop optimal watershed water pollution management strategies.