Variation Characteristics and Transportation of Aerosol, NO2, SO2, and HCHO in Coastal Cities of Eastern China: Dalian, Qingdao, and Shanghai
文献类型：期刊论文
| 作者 | Li, Xiaomei2,3; Xie, Pinhua2,3,4,5 ; Li, Ang2; Xu, Jin2; Hu, Zhaokun2; Ren, Hongmei2,3; Zhong, Hongyan2,6; Ren, Bo2,3; Tian, Xin2,6; Huang, Yeyuan2,3
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| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-03-01 |
| 卷号 | 13 |
| 关键词 | AOD PM2.5 NO2 SO2 HCHO coastal city flux MAX-DOAS CA MS |
| DOI | 10.3390/rs13050892 |
| 通讯作者 | Li, Ang(angli@aiofm.ac.cn) |
| 英文摘要 | This paper studied the method for converting the aerosol extinction to the mass concentration of particulate matter (PM) and obtained the spatio-temporal distribution and transportation of aerosol, nitrogen dioxide (NO2), sulfur dioxide (SO2), and formaldehyde (HCHO) based on multi-axis differential optical absorption spectroscopy (MAX-DOAS) observations in Dalian (38.85 degrees N, 121.36 degrees E), Qingdao (36.35 degrees N, 120.69 degrees E), and Shanghai (31.60 degrees N, 121.80 degrees E) from 2019 to 2020. The PM2.5 measured by the in situ instrument and the PM2.5 simulated by the conversion formula showed a good correlation. The correlation coefficients R were 0.93 (Dalian), 0.90 (Qingdao), and 0.88 (Shanghai). A regular seasonality of the three trace gases is found, but not for aerosols. Considerable amplitudes in the weekly cycles were determined for NO2 and aerosols, but not for SO2 and HCHO. The aerosol profiles were nearly Gaussian, and the shapes of the trace gas profiles were nearly exponential, except for SO2 in Shanghai and HCHO in Qingdao. PM2.5 presented the largest transport flux, followed by NO2 and SO2. The main transport flux was the output flux from inland to sea in spring and winter. The MAX-DOAS and the Copernicus Atmosphere Monitoring Service (CAMS) models' results were compared. The overestimation of NO2 and SO2 by CAMS is due to its overestimation of near-surface gas volume mixing ratios. |
| 资助项目 | National Key Research and Development Program of China[2018YFC0213201] ; National Key Research and Development Program of China[2017YFC0209902] ; National Key Research and Development Program of China[2018YFC0213801] ; National Natural Science Foundation of China[41530644] ; National Natural Science Foundation of China[41775029] ; National Natural Science Foundation of China[41975037] ; National Natural Science Foundation of China[U19A2044] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000628512600001 |
| 出版者 | MDPI |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/121201]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Li, Ang |
| 作者单位 | 1.China Natl Environm Monitoring Ctr, Beijing 100012, Peoples R China 2.Chinese Acad Sci, Hefei Inst Phys Sci, Anhui Inst Opt & Fine Mech, Key Lab Environm Opt & Technol, Hefei 230031, Peoples R China 3.Univ Sci & Technol China, Hefei 230026, Peoples R China 4.Chinese Acad Sci, Inst Urban Environm, CAS Ctr Excellence Urban Atmospher Environm, Xiamen 361021, Peoples R China 5.Univ Chinese Acad Sci, Hefei 230031, Peoples R China 6.Anhui Univ, Hefei 230601, Peoples R China 7.Dalian Maritime Univ, Dalian 116026, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Xiaomei,Xie, Pinhua,Li, Ang,et al. Variation Characteristics and Transportation of Aerosol, NO2, SO2, and HCHO in Coastal Cities of Eastern China: Dalian, Qingdao, and Shanghai[J]. REMOTE SENSING,2021,13. |
| APA | Li, Xiaomei.,Xie, Pinhua.,Li, Ang.,Xu, Jin.,Hu, Zhaokun.,...&Li, Qingbo.(2021).Variation Characteristics and Transportation of Aerosol, NO2, SO2, and HCHO in Coastal Cities of Eastern China: Dalian, Qingdao, and Shanghai.REMOTE SENSING,13. |
| MLA | Li, Xiaomei,et al."Variation Characteristics and Transportation of Aerosol, NO2, SO2, and HCHO in Coastal Cities of Eastern China: Dalian, Qingdao, and Shanghai".REMOTE SENSING 13(2021). |
入库方式： OAI收割
来源：合肥物质科学研究院
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