Research On Emission Reduction Optimal Model Based On Water Pollutant Total Amount Control Under The Application Of IFLP-PSO

In views of multiple sources, water polluting for the Songhua River tributaries-Yitong River, the heavily polluting tributary water pollution control and treatment, non-point source pollution control is extremely necessary. The "Yitong River Basin water pollution control technology research and demonstration research" project is based on the research of "Eleventh Five-Year", takes the water quality improvement of the Yitong River watershed environment as a core objective to slash industrial, life and agricultural non-point source pollution load, then, through improving water quality of Yitong River to further improve the technology and management system of heavily polluted river water environment governance and reconstruction, provide a basis for Yitong River basin-wide functional area standards during "Thirteenth Five-Year" and make demonstration river reaches complete "Songhua River Basin Water Pollution prevention Plan (2011-2015)" water quality planning objectives.In discussing the natural geography, social economy, the development and utilization of water resources situation and the main environmental problems of YiTong river basin, this paper has established a complete material transport model to implement river basin water power-water quality coupling simulation of YiTong river basin based on hydrodynamic of MIKE11, pollution load and water quality simulation. Combined with linear programming method, under the basis of the total amount control policy and water environmental carrying capacity calculation, we have taken the minimum river basin water pollutant emissions as the goal, the urbanization rate, emissions of industrial wastewater, livestock breeding, farmland find and total land use area as decision variables, to establish the river basin water pollution reducing optimization model based on the total amount control, then with YiTong river basin as the study case to obtain the optimal decision of river basin water pollution control plan. The smallest reduction of COD and ammonia nitrogen is73361.87tons and6478.35tons respectively in2010which has decreased by34.10%and32.04%compared with2015, the smallest reduction of COD and ammonia nitrogen is55799.04tons and5197.58tons for2020, down by23.94%and19.77%compared with2015. Through the model establishing, solving and analysis, the obtained optimization results could provide decision-making support for the river basin water pollution control and improve the management of river basin water pollutant total amount control.Considering the double interference of natural environment and human behavior, there are great uncertainty of water cycle and multi-source compound pollution for YiTong river system. In order to more truly reflect the multiple relations between river basin water pollutant behavior and water pollutant total policy, we take the maximum membership degree in system as the goal to adjust the model by using interval fuzzy linear programming method and particle swarm optimization algorithm (PSO) to the interval fuzzy-PSO river basin water pollutant emission reduction optimization model based on total amount control, obtaining the optimal decision scheme of water environmental pollution control under the membership level of λ=0.837. The smallest reduction of COD and ammonia nitrogen are69777.27tons and6212.40tons for2015which has decreased by37.32%and34.83%compared with2010, and51265.36tons and4877.35tons for2020, down26.53%and21.49%compared with2015. The interval fuzzy-PSO could evade the problem of too large or local range effectively and get optimal results under the best satisfaction situation, making decision easier to use.