Characterizing a Heavy Dust Storm Event in 2021: Transport, Optical Properties and Impact, Using Multi-Sensor Data Observed in Jinan, China
文献类型:期刊论文
作者 | Tu, Aiqin4,5,6; Wang, Zhenzhu3,6; Wang, Zhifei2; Zhang, Wenjuan2; Liu, Chang1; Zhu, Xuanhao5,6; Li, Ji4; Zhang, Yujie4; Liu, Dong3,6; Weng, Ningquan3,6 |
刊名 | REMOTE SENSING |
出版日期 | 2022-08-01 |
卷号 | 14 |
关键词 | dust storm lidar optical properties particle size distribution aerosol mass concentration atmospheric inversion layer |
DOI | 10.3390/rs14153593 |
通讯作者 | Wang, Zhenzhu(zzwang@aiofm.ac.cn) |
英文摘要 | On 15 March 2021, the strongest sandstorm of the last 10 years occurred in China. The MODIS, MPL lidar, EDM 180, ADI 2080 and Meteorological observation instruments were used to observe the dust in Jinan, China, while the HYSPLIT model was also employed to find the source. It was found that the dust originated from Mongolia and the Gobi desert and was transported to Jinan at night on 14th March, lasting until the 18th. Multi-layer dust was observed, of which the dust below the height of 1 km was strongest with the VDR about 0.2 and the maximum extinction coefficient up to 3 km(-1). The values of AOD and AE were greater than 2 and less than 0.25, respectively. The mass concentrations of PM10 and PM2.5 increased rapidly, and were up to 573 mu g/m(3) and 3406 mu g/m(3), respectively. Additionally, the mass concentration ratio decreased rapidly, with a minimum of 17%. The particle size of the dust was mainly distributed between 0.58-6.50 micros due to larger particles increasing dramatically; simultaneously, both the proportion and the value for calcium ions in PM2.5 went up. The dust had an obvious impact on the vertical structure of the air temperature, resulting in occurrence of a strong inversion layer. |
WOS关键词 | ASIAN DUST ; SYSTEM |
资助项目 | National Natural Science Foundation of China[41975038] ; National Natural Science Foundation of China[42111530028] ; Natural Science Foundation of Anhui Province[2008085J33] ; Key research and Development Program of Anhui Province[2022h11020008] ; Youth Innovation Promotion Association CAS[Y2021113] |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:000839850000001 |
资助机构 | National Natural Science Foundation of China ; Natural Science Foundation of Anhui Province ; Key research and Development Program of Anhui Province ; Youth Innovation Promotion Association CAS |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/132043] |
专题 | 中国科学院合肥物质科学研究院 |
通讯作者 | Wang, Zhenzhu |
作者单位 | 1.Shandong Meteorol Observ, Jinan 250031, Peoples R China 2.Jinan Environm Monitoring Ctr Shandong Prov, Jinan 250101, Peoples R China 3.Adv Laser Technol Lab Anhui Prov, Hefei 230037, Peoples R China 4.Shandong Meteorol Bur, Atmospher Sounding Technol Support Ctr, Jinan 250031, Peoples R China 5.Univ Sci & Technol China, Grad Sch, Sci Isl Branch, Hefei 230026, Peoples R China 6.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Key Lab Atmospher Opt, Hefei 230031, Peoples R China |
推荐引用方式 GB/T 7714 | Tu, Aiqin,Wang, Zhenzhu,Wang, Zhifei,et al. Characterizing a Heavy Dust Storm Event in 2021: Transport, Optical Properties and Impact, Using Multi-Sensor Data Observed in Jinan, China[J]. REMOTE SENSING,2022,14. |
APA | Tu, Aiqin.,Wang, Zhenzhu.,Wang, Zhifei.,Zhang, Wenjuan.,Liu, Chang.,...&Weng, Ningquan.(2022).Characterizing a Heavy Dust Storm Event in 2021: Transport, Optical Properties and Impact, Using Multi-Sensor Data Observed in Jinan, China.REMOTE SENSING,14. |
MLA | Tu, Aiqin,et al."Characterizing a Heavy Dust Storm Event in 2021: Transport, Optical Properties and Impact, Using Multi-Sensor Data Observed in Jinan, China".REMOTE SENSING 14(2022). |
入库方式: OAI收割
来源:合肥物质科学研究院
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