Development of an on-line source-tagged model for sulfate, nitrate and ammonium: A modeling study for highly polluted periods in Shanghai, China
Development of an on-line source-tagged model for sulfate, nitrate and ammonium: A modeling study for highly polluted periods in Shanghai, China
复制标题
硫酸盐、硝酸盐和铵在线源标记模型的开发：中国上海高污染时期的模型研究
DOI：
10.1016/j.envpol.2016.11.061
复制
发表时间：
2017
影响因子：
8.9
通讯作者：
Chang Luyu
中科院分区：
文献类型：
--
作者：
Wu Jian-Bin;Wang Zifa;Wang Qian;Li Jie;Xu Jianming;Chen HuanSheng;Ge Baozhu;Zhou Guangqiang;Chang Luyu
利用嵌套空气质量预报模式系统（Nested Air Quality Prediction Model System，NAQPMS）和在线源标记模式，对上海市典型冬季的一次硫酸盐、二次硝酸盐和二次铵（Ssingle bondNsingle bondA）的源贡献进行了估算。这个源标记的模型系统可以同时跟踪Ssingle bondNsingle bondA的空间和时间源，这些源在模拟运行中被分配到它们各自的主要前体。结果表明，在研究期内，上海市的本地排放占到了Ssingle bond贡献的20%以上，江苏省和山东省是上海市的两个主要非本地排放源。特别是，在有记录的污染期间，非本地排放的贡献更大。这表明污染物的输送在上海大气污染中起着关键作用。时间贡献表明，“当天”的排放（模型模拟当天的排放贡献）贡献了60%~ 70%的硫酸盐和铵浓度，但仅贡献了10%~ 20%的硝酸盐浓度，而前几天的贡献在记录的污染期间有所增加。2013年1月，三天内释放的排放量平均占单一债券的85%以上。为了评估源标记的模式系统，通过敏感性分析（排放扰动为-30%）和后向轨迹分析对结果进行了比较。比较结果的一致性表明，源标记的模型系统可以跟踪源的S单键N单键A具有合理的精度。
An on-line source-tagged model coupled with an air quality model (Nested Air Quality Prediction Model System, NAQPMS) was applied to estimate source contributions of primary and secondary sulfate, nitrate and ammonium (Ssingle bondNsingle bondA) during a representative winter period in Shanghai. This source-tagged model system could simultaneously track spatial and temporal sources of Ssingle bondNsingle bondA, which were apportioned to their respective primary precursors in a simulation run. The results indicate that in the study period, local emissions in Shanghai accounted for over 20% of Ssingle bondNsingle bondA contributions and that Jiangsu and Shandong were the two major non-local sources. In particular, non-local emissions had higher contributions during recorded pollution periods. This suggests that the transportation of pollutants plays a key role in air pollution in Shanghai. The temporal contributions show that the emissions from the “current day” (emission contribution from the current day during which the model was simulating) contributed 60%–70% of the sulfate and ammonium concentrations but only 10%–20% of the nitrate concentration, while the previous days’ contributions increased during the recorded pollution periods. Emissions that were released within three days contributed over 85% averagely for Ssingle bondNsingle bondA in January 2013. To evaluate the source-tagged model system, the results were compared by sensitivity analysis (emission perturbation of −30%) and backward trajectory analysis. The consistency of the comparison results indicated that the source-tagged model system can track sources of Ssingle bondNsingle bondA with reasonable accuracy.