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研究报告

张婷慧,陈报章,王瑾,黄丛吾,陈龙,张子旺.基于CAMx的徐州市2016年冬季PM_2.5污染过程及来源分析[J].环境科学学报,2017,37(10):3918-3925

Process analysis and source apportionment of PM_2.5 pollution in Xuzhou in winter 2016 based on CAMx

摘要：徐州地处江苏西北部、华北平原的东南部，为内陆资源型工业城市，近几年来环境监测数据显示，徐州地区大气复合污染问题日益突出，准确模拟大气污染物状况及来源对于空气污染的防治十分关键.2016年1月，徐州市出现了多次持续的重污染天气，研究中以此次污染事件为例，首先基于WRF-CAMx空气质量模型系统对这次细颗粒物污染过程进行全面的模拟与分析，其次利用CAMx-PSAT系统模拟和分析本次污染的区域传输过程.研究结果显示：此次细颗粒物污染中，PM_2.5组成成分以硫酸盐、元素碳、硝酸盐和铵盐为主，分别占月平均浓度的29%、15%、14%、14%；PM_2.5的区域传输贡献中，长距离传输所占比重最大，月平均贡献率达46%，其次为本地源排放，平均贡献率为39%；重污染天气期间，PM_2.5污染主要从西北方向输入，此时长距离传输的影响明显增大.

Abstract：Xuzhou is a typical inland resource-intensive industrial city located in the northwest of Jiangsu Province and southeast of North China Plain. In recent years, the air pollution complex in Xuzhou has become increasingly serious. To control air pollution, accurately modeling of air pollutants and analyzing their sources are of crucial importance. This study focused on modeling and analyzing continuous severe pollution processes at Xuzhou in January 2016. The WRF-CAMx air quality model was utilized to simulate and analyze the process of fine particulate matter (PM_2.5) pollution, and the CAMx-PSAT system was then utilized to further analyze the regional transport process. The results suggested that PM_2.5 in this pollution process was mainly composed of sulfate (29%), elemental carbon (15%), nitrate (14%) and ammonium salt (14%). For the PM_2.5 transport processes, super-regional transport accounted for the largest proportion with the month average contribution ratio of 46%. In comparison, local emissions accounted for 39% of the PM_2.5. During the serious pollution processes, the main transport route of PM_2.5 was from northwest direction, and the contributor of super-regional transport was significant.