Aerosol Property Analysis Based on Ground-Based Lidar in Sansha, China
文献类型:期刊论文
作者 | Kong, Deyi1; He, Hu4; Zhao, Jingang4; Ma, Jianzhe2,3; Gong, Wei1 |
刊名 | ATMOSPHERE |
出版日期 | 2022-09-01 |
卷号 | 13 |
关键词 | aerosol lidar inversion seasonal variations meteorological factors random forest regression |
DOI | 10.3390/atmos13091511 |
通讯作者 | Ma, Jianzhe(2018302141268@whu.edu.cn) |
英文摘要 | Marine aerosol is one of the most important natural aerosols. It has a significant impact on marine climate change, biochemical cycling and marine ecosystems. Previous studies on marine aerosols, especially in the South China Sea, were carried out by satellite and shipborne measurements. The above methods have drawbacks, such as low temporal-spatial resolution and signal interference. However, lidar has high accuracy and high temporal-spatial resolution, so it is suitable for high-precision long-term observations. In this work, we obtain marine aerosol data using Mie Lidar in Sansha, an island in the South Chain Sea. Firstly, by comparing boundary layer height (BLH) between Sansha and Hefei, we found that Sansha's boundary layer height has significant differences with that of inland China. Secondly, we compare the aerosol extinction coefficients and their variation with height in Sansha and Hefei. Finally, we obtain hourly averaged aerosol optical depth at Sansha and explore its relation with weather. To analyze the AOD-weather relation, we select three meteorological factors (sea surface temperature, mean sea level pressure and 10 m u-component of wind) based on their feature importance, which is determined by random forest regression. We also analyze the relationship between AOD and the above meteorological factors in each season separately. The results show that there is a strong relation between the meteorological factors and AOD in spring and summer, while there is no clear correlation in fall and winter. These analyses can provide valid data for future researches on marine aerosols in the South China Sea. |
WOS关键词 | OPTICAL-PROPERTIES ; AIR-POLLUTION ; WIND-SPEED ; DEPTH ; OCEAN ; SEA ; TEMPERATURE ; BACKSCATTER ; DEPENDENCE ; THICKNESS |
资助项目 | National Natural Science Foundation of China[42171464] ; National Natural Science Foundation of China[41827801] ; Key Research and Development Project of Hubei Province[2022BCA057] ; Key Research and Development Project of Hubei Province[2021BCA216] |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:000857395600001 |
资助机构 | National Natural Science Foundation of China ; Key Research and Development Project of Hubei Province |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/128960] |
专题 | 中国科学院合肥物质科学研究院 |
通讯作者 | Ma, Jianzhe |
作者单位 | 1.Wuhan Univ, Sch Elect Informat, Wuhan 430072, Peoples R China 2.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Hefei 230031, Peoples R China 3.Zhonghuan TIG Tianjin Meteorol Instruments Co Ltd, Tianjin 430024, Peoples R China 4.Sinopec Shengli Oilfield Technol Testing Ctr, Dongying 257062, Peoples R China |
推荐引用方式 GB/T 7714 | Kong, Deyi,He, Hu,Zhao, Jingang,et al. Aerosol Property Analysis Based on Ground-Based Lidar in Sansha, China[J]. ATMOSPHERE,2022,13. |
APA | Kong, Deyi,He, Hu,Zhao, Jingang,Ma, Jianzhe,&Gong, Wei.(2022).Aerosol Property Analysis Based on Ground-Based Lidar in Sansha, China.ATMOSPHERE,13. |
MLA | Kong, Deyi,et al."Aerosol Property Analysis Based on Ground-Based Lidar in Sansha, China".ATMOSPHERE 13(2022). |
入库方式: OAI收割
来源:合肥物质科学研究院
浏览0
下载0
收藏0
其他版本
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。