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河北省中南部冬季SO_(2)和NO_(2)源同化模拟研究

Inverse Modeling of SO_(2) and NO_(2) Emissions by Numerical Simulation and Its Application in Winter in Central and Southern Hebei Province
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摘要 文章利用地面观测数据及nudging污染源同化反演技术,反演2017年冬季河北中南部地区SO_(2)和NO_(2)污染排放源强,得到了高分辨率特征污染源排放结果。应用反演后的排放源和初始源模拟一次重污染过程中SO_(2)和NO_(2)浓度,并与观测数据进行对比,检验反演源的效果。研究结果表明SO_(2)、NO_(2)反演排放源强的空间分布和强度优于初始源,且能反映出河北中南部地区冬季大气污染存在区域性差异特征。基于nudging模式的源同化反演技术适用于SO_(2)、NO_(2)排放源的优化改进,对于冬季重污染的SO_(2)和NO_(2)具有很好的模拟效果,反演源模拟结果更加接近于观测值。 In this study,SO_(2) and NO_(2) emissions over the Central and Southern Hebei Province are determined using an adaptive“nudging”constrained method and a variation processing technique based on surface measurement data collected in 2017 winter.The application of the method can provide reliable and high-resolution mapping of sources of SO_(2) and NO_(2) emissions.Simulated results are compared with the station observations data from the Hebei National Environmental Monitoring Center.The difference caused by the initial emission and the inverse emission and the advantage of improved emission are analyzed.It is found that the inverse emission sources are better than the initial emission with high emission source intensity of SO_(2) and NO_(2) in the key areas being unversed.By the improved emission,SO_(2) and NO_(2) concentrations could be simulated well during the heavy pollution process in Central and Southern Hebei.Simulated results using optimized emissions are closer to the observed value in Central and Southern Hebei.
作者 焦亚音 Jiao Yayin(Hebei Meteorological Disaster Prevention and Environmental Meteorology Center, Shijiazhuang 050021, China;Key Laboratory of Meteorology and Ecological Environment of Hebei Province, Shijiazhuang 050021, China)
出处 《环境科学与管理》 CAS 2022年第5期52-55,共4页 Environmental Science and Management
关键词 河北中南部 源同化 CMAQ模式 重污染 central and Southern Hebei inversing emission inventory CMAQ model heavy pollution
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