Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-20-2839-2020 |
Modeling diurnal variation of surface PM2.5 concentrations over East China with WRF-Chem: impacts from boundary-layer mixing and anthropogenic emission | |
Du, Qiuyan1; Zhao, Chun1,2; Zhang, Mingshuai1; Dong, Xue1,3; Chen, Yu1; Liu, Zhen4; Hu, Zhiyuan5,6,7; Zhang, Qiang8; Li, Yubin9; Yuan, Renmin1; Miao, Shiguang10 | |
2020-03-06 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2020 |
卷号 | 20期号:5页码:2839-2863 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; Scotland |
英文摘要 | Diurnal variation of surface PM2.5 concentration (diurnal PM2.5) could dramatically affect aerosol radiative and health impacts and can also well reflect the physical and chemical mechanisms of air pollution formation and evolution. So far, diurnal PM2.5 and its modeling capability over East China have not been investigated and therefore are examined in this study. Based on the observations, the normalized diurnal amplitude of surface PM2.5 concentrations averaged over East China is weakest (similar to 1.2) in winter and reaches similar to 1.5 in other seasons. The diurnal PM2.5 shows the peak concentration during the night in spring and fall and during the daytime in summer. The simulated diurnal PM2.5 with WRF-Chem and its contributions from multiple physical and chemical processes are examined in the four seasons. The simulated diurnal PM2.5 with WRF-Chem is primarily controlled by planetary boundary layer (PBL) mixing and emission variations and is significantly overestimated against the observation during the night. This modeling bias is likely primarily due to the inefficient PBL mixing of primary PM2.5 during the night. The simulated diurnal PM2.5 is sensitive to the PBL schemes and vertical-layer configurations with WRF-Chem. Besides the PBL height, the PBL mixing coefficient is also found to be the critical factor determining the PBL mixing of pollutants in WRF-Chem. With reasonable PBL height, the increase in the lower limit of the PBL mixing coefficient during the night can significantly reduce the modeling biases in diurnal PM2.5 and also the mean concentrations, particularly in the major cities of East China. It can also reduce the modeling sensitivity to the PBL vertical-layer configurations. The diurnal variation and injection height of anthropogenic emissions also play roles in simulating diurnal PM2.5, but the impact is relatively smaller than that from the PBL mixing. This study underscores that more efforts are needed to improve the boundary mixing process of pollutants in models with observations of PBL structure and mixing fluxes in addition to PBL height, in order to simulate reasonably the diurnal PM2.5 over East China. The diurnal variation and injection height of anthropogenic emissions must also be included to simulate the diurnal PM2.5 over East China. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000518834600004 |
WOS关键词 | YANGTZE-RIVER DELTA ; PROVINCIAL CAPITAL CITIES ; FINE PARTICULATE MATTER ; 4-DIMENSIONAL DATA ASSIMILATION ; AEROSOL OPTICAL-PROPERTIES ; CRITERIA AIR-POLLUTANTS ; DUST MASS-BALANCE ; NORTH CHINA ; SEASONAL-VARIATIONS ; ORGANIC-COMPOUNDS |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/278672 |
专题 | 地球科学 |
作者单位 | 1.Univ Sci & Technol China, Sch Earth & Space Sci, Hefei 230026, Peoples R China; 2.USTC, CAS Ctr Excellence Comparat Planetol, Hefei 230026, Peoples R China; 3.PowerChina Huadong Engn Corp Ltd, Hangzhou, Peoples R China; 4.Univ Edinburgh, Sch Geosci, Edinburgh, Midlothian, Scotland; 5.Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai, Peoples R China; 6.Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change & Nat Disas, Zhuhai, Peoples R China; 7.Southern Marine Sci & Engn Guangdong Lab, Zhuhai, Peoples R China; 8.Tsinghua Univ, Dept Earth Syst Sci, Beijing, Peoples R China; 9.Nanjing Univ Informat & Technol, Sch Atmospher Phys, Nanjing, Peoples R China; 10.Chinese Meteorol Adm, Inst Urban Meteorol, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Du, Qiuyan,Zhao, Chun,Zhang, Mingshuai,et al. Modeling diurnal variation of surface PM2.5 concentrations over East China with WRF-Chem: impacts from boundary-layer mixing and anthropogenic emission[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2020,20(5):2839-2863. |
APA | Du, Qiuyan.,Zhao, Chun.,Zhang, Mingshuai.,Dong, Xue.,Chen, Yu.,...&Miao, Shiguang.(2020).Modeling diurnal variation of surface PM2.5 concentrations over East China with WRF-Chem: impacts from boundary-layer mixing and anthropogenic emission.ATMOSPHERIC CHEMISTRY AND PHYSICS,20(5),2839-2863. |
MLA | Du, Qiuyan,et al."Modeling diurnal variation of surface PM2.5 concentrations over East China with WRF-Chem: impacts from boundary-layer mixing and anthropogenic emission".ATMOSPHERIC CHEMISTRY AND PHYSICS 20.5(2020):2839-2863. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论