天津市PM_(10)污染控制决策模型

Decision-making Model for Controlling Urban Atmospheric Particulate Matter Pollution in Tianjin City

探索了城市空气颗粒物污染控制决策的流程.分析了颗粒物排放源类的分担率、颗粒物的可削减空间、控制措施实施的可执行性及控制技术经济成本等方面对颗粒物污染控制决策的影响,在此基础上,结合空气质量模型、颗粒物来源解析、层次分析法等技术,建立了颗粒物污染控制方案优选方法及相应的决策模型.以天津市为例,分别设定颗粒物各排放源类的控制情景,计算不同控制情景下环境空气中ρ(PM10)削减率,在对所有方案初筛的基础上,采用层次分析法确定颗粒物污染控制的最优方案组合.

The decision-making process for controlling urban atmospheric particulate matter pollution was studied in this work. The eftects of source contributions, reducible space of particulate matter, enforceability of control measures, and technical and economie cost of control measures on the decision-making process were discussed. Optimization and decision-making models of particulate pollution control were established and combined with air quality models, ambient source apportionment, and analytic hierarchy process. Taking Tianjin City as an example, various control scenarios were set, and the reducible percentage of PM10 concentration for each scenario was calculated. After initial screening of all possible schemes, the analytic hierarchy process method was applied to determine the optimal scheme of particulate control.