Distribution and transport characteristics of fine particulate matter in beijing with mobile lidar measurements from 2015 to 2018
文献类型:期刊论文
作者 | Ding, Zecong; Sun, Guangzhao; Fu, Fenglian; Ye, Chujia; Lul, Lihui1,2; Zhang, Tianshu1,2,3; Xiang, Yan1,2; Chai, Wenxuan4; Liu, Wenqing3 |
刊名 | JOURNAL OF ENVIRONMENTAL SCIENCES |
出版日期 | 2022-05-01 |
卷号 | 115 |
ISSN号 | 1001-0742 |
关键词 | Aerosol Regional transport Lidar Mobile measurement PM2 5 |
DOI | 10.1016/j.jes.2021.06.013 |
通讯作者 | Lul, Lihui() ; Zhang, Tianshu() |
英文摘要 | Accurately quantifying the concentration and transport flux of atmospheric fine particulate matter (PM 2.5 ) is vital when attempting to thoroughly identify the pollution formation mechanism. In this study, the mobile lidar measurements in Beijing on heavily polluted days in December from 2015 to 2018 are presented. The lidar was mounted on a vehicle, which could perform measurements along designated routes. On the basis of mobile lidar measurements along closed circuits of the 6th Ring Road around Beijing, the spatial distribution and transport flux of PM 2.5 in Beijing were determined with information of wind field. In the spatial distribution, both the concentration and transport of PM 2.5 were revealed to be more significant in the southern section of Beijing. The regional transport layer at heights < 1.3 km plays an important role in pollution formation. The maximum transport flux reached 1600 mu g/(m 2 *sec) on 11 December 2016. With the aerosol boundary layer height determined from the image edge detection (IED) method, the inter-annual variations of the aerosol boundary layer height (ABLH) were also analysed. The ABLH decreased from 0.73 to 0.46 km during the same heavy pollution period from 2015 to 2018. Increasingly adverse aerosol boundary layer (ABL) meteorological factors, including lower ABLH, light winds, temperature inversions, and accumulated moisture, have become necessary for pollution formation in Beijing. (c) 2021 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V. |
WOS关键词 | ENTRAINMENT ZONE THICKNESS ; BOUNDARY-LAYER HEIGHT ; MAX-DOAS OBSERVATIONS ; MASS CONCENTRATION ; AIR-POLLUTION ; NOX EMISSIONS ; PM2.5 ; HAZE ; WINTER ; EVOLUTION |
资助项目 | National Key Project of MOST[2017YFC0213002] ; National Key Project of MOST[2018YFC0213101] ; National Key Project of MOST[2018YFC020101] ; Doctoral Scientific Research Foundation of Anhui University[Y040418191] ; open fund of the Key Laboratory of Environmental Optics and Technology, Chinese Academy of Sciences[K130462001] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | SCIENCE PRESS |
WOS记录号 | WOS:000740441100007 |
资助机构 | National Key Project of MOST ; Doctoral Scientific Research Foundation of Anhui University ; open fund of the Key Laboratory of Environmental Optics and Technology, Chinese Academy of Sciences |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/127331] |
专题 | 中国科学院合肥物质科学研究院 |
通讯作者 | Lul, Lihui; Zhang, Tianshu |
作者单位 | 1.Anhui Univ, Inst Phys Sci, Informat Mat & Intelligent Sensing Lab Anhui Prov, Hefei 230601, Peoples R China 2.Anhui Univ, Inst Informat Technol, Informat Mat & Intelligent Sensing Lab Anhui Prov, Hefei 230601, Peoples R China 3.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Environm Opt & Technol, Hefei 230031, Peoples R China 4.China Natl Environm Monitoring Ctr, Beijing 100012, Peoples R China |
推荐引用方式 GB/T 7714 | Ding, Zecong,Sun, Guangzhao,Fu, Fenglian,et al. Distribution and transport characteristics of fine particulate matter in beijing with mobile lidar measurements from 2015 to 2018[J]. JOURNAL OF ENVIRONMENTAL SCIENCES,2022,115. |
APA | Ding, Zecong.,Sun, Guangzhao.,Fu, Fenglian.,Ye, Chujia.,Lul, Lihui.,...&Liu, Wenqing.(2022).Distribution and transport characteristics of fine particulate matter in beijing with mobile lidar measurements from 2015 to 2018.JOURNAL OF ENVIRONMENTAL SCIENCES,115. |
MLA | Ding, Zecong,et al."Distribution and transport characteristics of fine particulate matter in beijing with mobile lidar measurements from 2015 to 2018".JOURNAL OF ENVIRONMENTAL SCIENCES 115(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。