TAGE:一种新的大气污染物来源及输送情况的网格化分析方法

提出了一种新的大气污染物来源及输送情况的网格化分析方法.首先，不依赖于排放源清单，而是以预设的网格化排放源来运行空气质量模型，得到排放源的污染影响因子.然后，结合污染物监测数据，构建排放源总合排放强度求解方程组，并利用遗传算法进行求解.最后，基于排放源的污染影响因子和总合排放强度，计算出排放源的污染贡献占比，从而完成对大气污染物来源及输送情况的网格化分析.这一方法的提出，为缺少准确排放源清单情况下大气污染状况的分析与治理，提供了新的思路.利用此方法，对北京市、石家庄市、保定市2017年10~12月期间PM_2.5的来源及输送情况进行了验证性实验.

TAGE:a new grid analysis method for source and transport of atmospheric pollutants

This paper proposes a new grid analysis method for the source and transportation of atmospheric pollutants. First, the air quality model can be operated without the emission source list, but just utilize a pre-set gridded emission source to obtain the pollution impact factor of the emission source. Second, in combination with the pollutant monitoring data, the equations for the total emission intensity of the emission source are constructed and solved by genetic algorithm. Finally, the pollution contribution ratio of the emission source can be calculated based on the pollution impact factor and total emission intensity of the emission source, thereby completing the grid analysis of the source and transportation of the atmospheric pollutant. The proposed method provides a new idea for the analysis and treatment of air pollution conditions without accurate inventory lists. This method has been applied in the tests conducted on the source and transport of PM_2.5 during the period from October to December 2017 in the cities of Beijing, Shijiazhuang and Baoding.