An Interval-Fuzzy Emissions Reduction Optimization Model for Regional Water Pollutant Total Amount Control
Combining environment policies of structure emissions reduction, engineering emissions reduction and management emissions reduction, this paper uses an interval-fuzzy linear programming and builds an optimization model for total amount control of regional water pollution, on account of severe water pollution condition. The developed model is applied to a case of Hunan Province to validate its validity and reliability. The optimal result demonstrated that the emission reduction of COD and NH3-N are [43.39, 47.57] and [7.05, 7.64] (104 tons), and the optimal total costs of reduction is [35.11, 37.35] (billion yuan), which decreases 6.32~11.20% than the existed recommended scheme (39.87 billion yuan). This method can be used for providing technical support and thus achieves the 12th Five-year goals of the environment protection plan more effectively.