| 污染源反演对重点城市群夏季O3模拟的改进效果评估 |
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| 引用本文： | 宋雅婷,唐晓,孔磊,罗雪纯,王瑶,罗洪艳,吴煌坚,王自发.污染源反演对重点城市群夏季O3模拟的改进效果评估[J].气候与环境研究,2023,28(1):61-73. |
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| 作者姓名： | 宋雅婷 唐晓 孔磊 罗雪纯 王瑶 罗洪艳 吴煌坚 王自发 |
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| 作者单位： | 1.中国科学院大气物理研究所大气边界层物理与大气化学国家重点实验室，北京 1000292.中国科学院大学，北京 1000493.云南大学，昆明 6505004.成都信息工程大学，成都 610225 |
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| 基金项目： | 国家自然科学基金项目 41875164、92044303，中科院战略性先导科技专项 XDA19040201 |
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| 摘 要： | 在嵌套网格空气质量预报模式系统(NAQPMS)的基础上，采用污染源反演方法优化以中国多尺度排放清单(MEIC)为主的先验排放清单中臭氧(O3)前体物排放量估计。分析时段为2019年6～8月，重点评估了污染源反演对我国“2+26”城市、长三角、珠三角、成渝4个重点城市群O3模拟的改进效果。评估结果表明，污染源反演获得的“2+26”城市、长三角、珠三角的氮氧化物(NOx)排放速率整体低于先验清单的排放速率约0.6μg m-2 s-1，但反演的挥发性有机物(VOCs)排放速率在“2+26”城市整体上高于先验清单的排放速率约0.5μg m-2 s-1。利用反演的NOx和VOCs排放量和NAQPMS模式对4个城市群O3进行模拟，发现反演排放数据可以显著改进夏季O3模拟性能，使得O3日最大8小时平均值(MDA8-O3)模拟的均方根误差(R...
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| 关 键 词： | 源反演 O3 数值模拟 “2+26”城市 |
| 收稿时间： | 2021-12-28 |
Improvement of the Summer Ozone Simulation over Key Cite-Clusters in China through Emission Inversion Method |
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| Yating SONG,Xiao TANG,Lei KONG,Xuechun LUO,Yao WANG,Hongyan LUO,Huangjian WU,Zifa WANG.Improvement of the Summer Ozone Simulation over Key Cite-Clusters in China through Emission Inversion Method[J].Climatic and Environmental Research,2023,28(1):61-73. |
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| Authors: | Yating SONG Xiao TANG Lei KONG Xuechun LUO Yao WANG Hongyan LUO Huangjian WU Zifa WANG |
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| Institution: | 1.State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 1000292.University of Chinese Academy of Sciences, Beijing 1000493.Yunnan University, Kunming 6505004.Chengdu University of Information Technology, Chengdu 610225 |
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| Abstract: | Based on the Nested Grid Air Quality Prediction Model System (NAQPMS), the emission source inversion method is utilized to optimize the estimation of ozone (O3) precursor in the emission a priori inventory dominated by China Multi-Scale Emission Inventory (MEIC). From June to August 2019, the effect of improving O3 simulation by employing source inversion emission inventory is mostly examined in “2+26” Cities, Yangtze River Delta, Pearl River Delta, and Chengdu?Chongqing urban agglomerations with severe O3 pollution from June to August 2019 (summer). The evaluation results show that the nitrogen oxide (NOx) emission rate obtained by source inversion is lower than the a priori inventory emission rate of about 0.6 μg m?2 s?1, but the volatile organic compounds (VOCs) emission rate of inversion is higher than the a priori inventory emission rate of about 0.5 μg m?2 s?1 in “2+26” cities. The source inversion emission inventory is used to simulate O3 in four urban agglomerations, and the simulated performance of O3 in summer could be significantly improved by inversion emission data, which reduces the root-mean-square error (RMSE) of the maximum eight-hour mean of O3 (MDA8-O3) from 40–60 μg/m3 to 20–30 μg/m3 and increases the correlation coefficient from 0.6–0.7 to more than 0.8. The discrepancy between the simulated and observed diurnal variation peaks of O3 narrowed from 2–50 μg/m3 to 2–20 μg/m3. The results of this study show that pollution source inversion based on ground observation data may effectively improve the performance of O3 simulation in the key urban agglomeration, and the difference between the emissions of O3 precursor inversion emissions and the a priori inventory may provide a reference for the effectiveness and evaluation of the a priori inventory. |
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