Abstract

Data of multiyear observations from Mosecomonitoring network stations were used to calculate the CO, NO, NO₂, SO₂, and PM₁₀ emissions from urban sources, their spatial distribution, and time variations. The emission matrix thus obtained was used in the SILAM chemical transport model to estimate the air quality in the Moscow megacity. The comparisons of the calculations with the observations, performed by applying correlation relations and Student’s test, were used to correct the emission matrix. To optimize the spatial distribution of sources and the magnitude of emissions in the Moscow megacity, air pollutant fields for the summer and winter months were calculated applying chemical transport models SILAM and COSMO-ART using emissions both calculated and available from the TNO emission inventory database. Comparison of these calculations made it possible to reduce the uncertainties of estimating the air quality in the Moscow region.

中文翻译：

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大气化学迁移模型在莫斯科污染物排放验证中的应用

摘要

来自Mosecomonitoring网络站的多年观测数据用于计算CO，NO，NO ₂，SO ₂和PM ₁₀城市排放物，其空间分布和时间变化。如此获得的排放矩阵被用于SILAM化学传输模型中，以估算莫斯科特大城市的空气质量。应用相关关系和Student's test对计算结果和观测值进行比较，以校正排放矩阵。为了优化莫斯科大城市的源头空间分布和排放量，使用化学运输模型SILAM和COSMO-ART使用TNO排放清单数据库计算和获得的排放量，计算了夏季和冬季的空气污染物场。通过对这些计算结果的比较，可以减少估算莫斯科地区空气质量的不确定性。