| 中国青岛市近年来灰霾污染数值模拟研究 |
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| 引用本文： | 单华瑶,高阳,姚小红. 中国青岛市近年来灰霾污染数值模拟研究[J]. 中国海洋大学学报(自然科学版), 2021, 51(5): 88-95 |
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| 作者姓名： | 单华瑶 高阳 姚小红 |
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| 作者单位： | 中国海洋大学深海圈层与地球系统前沿科学中心,海洋环境与生态教育部重点实验室,山东 青岛 266100;中国海洋大学深海圈层与地球系统前沿科学中心,海洋环境与生态教育部重点实验室,山东 青岛 266100;青岛海洋科学与技术试点国家实验室 海洋生态与环境科学功能实验室,山东 青岛 266237 |
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| 基金项目： | 国家重点研究发展计划项目(2017YFC1404101);国家自然科学基金项目(41776086)资助。 |
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| 摘 要： | 基于SO2和PM2.5的小时观测数据,本研究发现青岛市2014—2018年采暖期间SO2和PM2.5平均浓度呈现下降的趋势,但是高浓度PM 2.5在不同年份偏移明显,尤其是2015年高浓度PM 2.5显著高于其它年份.为阐明这一时期高浓度PM2.5的物理化学过程,利用区域气象化学模式Weather Research a...
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| 关 键 词： | PM2.5 浓度-百分位 WRF-CMAQ 过程分析 |
The Numerical Modeling of Recent Haze Pollution in Qingdao,China |
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| SHAN Hua-Yao,GAO Yang,YAO Xiao-Hong. The Numerical Modeling of Recent Haze Pollution in Qingdao,China[J]. Periodical of Ocean University of China, 2021, 51(5): 88-95 |
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| Authors: | SHAN Hua-Yao GAO Yang YAO Xiao-Hong |
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| Affiliation: | (Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China;Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology(Qingdao), Qingdao 266237, China) |
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| Abstract: | Based on the hourly monitoring data of SO2and PM2.5in Qingdao,this study illustrates a decreasing trend of SO2and PM2.5concentration during the heating period from 2014 to 2018 in Qingdao.However,the high concentration of PM2.5shifted significantly in different years,especially in 2015,when the high PM2.5concentration was significantly larger than the other years.In order to elucidate the physical and chemical processes governing the high PM2.5concentration during this period,regional model Weather Research and Forecasting-Community Multiscale Air Quality Model(WRF-CMAQ)was used to elucidate the processes modulating the accumulation and removal of PM2.5during December 2015 and January 2016.The analysis showed that the accumulation of PM2.5was mainly contributed by emission,aerosol process and vertical advection,whereas the major removal processes included vertical diffusion and horizontal advection.Meanwhile,focusing on two episodic events during December 29 to 31,2015 and January 15 to 17,2016,we found that the main components of PM2.5were secondary inorganic ions(SNA)and organic aerosol(OA),with SNA accounting for 44%and OA nearly 30%.SNA is mainly controlled by the aerosol process,vertical and horizontal advection,while OA is mainly influenced by vertical and horizontal advection.The elucidation of physical and chemical processes affecting the PM2.5compositions,on the one hand,may help to foster a more appropriate air pollution control strategy;On the other hand,from the perspective of model development,improving the ability of the model in simulating the components with high portion such as SNA and OA is of great significance in understanding the mechanism responsible for the accumulation and removal of PM2.5. |
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| Keywords: | PM2.5 concentration-percentile WRF-CMAQ process analysis |
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