为解决区域水污染物排放控制与经济发展的平衡问题，本项目将水污染物排放控制的多种措施引入到水环境-社会经济系统中进行动态模拟，寻求最优解决方案。以吉林省为研究区，基于水污染物排放拓展的投入产出模型，建立量化分析指标组合，对水污染物排放与社会经济活动之间的关系进行量化分析，导出拟进行综合模拟的控制措施和对应技术。基于投入产出分析理论将水污染物排放、社会经济活动和控制措施三者进行链接与耦合，建立以经济增长最大化为目标方程、水污染物排放控制为限制条件的综合动态最优化模型。模拟2016至2025年各控制措施的应用对水污染物排放、产业结构和经济增长的影响；内生水污染物排放控制措施的最优组合，量化水污染物直接去除措施以及间接减排措施的资金来源与分配以及水污染物削减量。研究成果可为决策者关于区域水污染排放控制提供具有可实施性的参考意见。

This program intends to introduce the combination of various water pollution control measures into the water environment-socioeconomic system to accomplish the balance between regional water pollution control and socioeconomic development. Jilin Province is selected as the empirical study area. An indicator combination will be constructed via a water pollutant extended input-output model to analyze the interrelationships between water pollutant discharge and the socioeconomic activities quantitatively, then, the control measures will be derived. Water pollutant discharge, socioeconomic activities and control measures will be integrated in order to construct a dynamic optimization simulation input-output model that incorporates the maximization of economic development as the objective function and the water pollutant discharge control as constraint. The simulation will be performed by the model within a 10-year time horizon spanning 2016 to 2025. The impacts on water pollutant discharge and economic development of introducing these control measures will be simulated. An optimized combination of control measures will be formed endogenously. The amount of pollutants mitigated and the source and allocation of investment for the control measures will be quantified spatially and temporally. Industrial restructuring will be achieved endogenously and the impacts of control measures on industrial structure will be analyzed quantitatively. It is expected to provide applicable suggestions regarding regional water pollution control for decision-makers.