文献类型：期刊文献

英文题名：Three-dimensional analysis of ozone and PM2.5 distributions obtained by observations of tethered balloon and unmanned aerial vehicle in Shanghai, China

作者：Li, Xiao-Bing[1];Wang, Dongfang[2];Lu, Qing-Chang[1];Peng, Zhong-Ren[1,3,4];Fu, Qingyan[2];Hu, Xiao-Ming[5];Huo, Juntao[2];Xiu, Guangli[6];Li, Bai[1];Li, Chao[1];Wang, Dong-Sheng[1];Wang, Hanyu[1]

机构：[1]Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China;[2]Shanghai Environm Monitoring Ctr, Shanghai 200030, Peoples R China;[3]Shanghai Jiao Tong Univ, China Inst Urban Governance, Shanghai 200240, Peoples R China;[4]Univ Florida, Dept Urban & Reg Planning, POB 115706, Gainesville, FL 32611 USA;[5]Univ Oklahoma, Ctr Anal & Predict Storms, Norman, OK 73019 USA;[6]East China Univ Sci & Technol, Res Ctr Risk Assessment & Control Hazardous Chem, Shanghai 200237, Peoples R China

年份：2018

卷号：32

期号：5

起止页码：1189

外文期刊名：STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

收录：;EI(收录号：20181504998173);WOS:【SCI-EXPANDED(收录号:WOS:000429464900001)】；

基金：This study was Funded by the National Key R&D Program of China (No. 2016YFC0200500), the Shanghai Environmental Protection Bureau (No. 2014-8) and the National Planning Office of Philosophy and Social Science (No. 16ZDA048). We express our sincere appreciation to the Second Surveying and Mapping Institute of Zhejiang Province for their help in flying the UAV. We are very grateful for the help from No. 38 institute of China Electronics Technology Group Company in operating the tethered balloon platform.

语种：英文

外文关键词：UAS; Air pollution; Generalized additive model; Lower tropospheric ozone; Fine aerosol particles

摘要：A lightweight unmanned aerial vehicle (UAV) and a tethered balloon platform were jointly used to investigate three-dimensional distributions of ozone and PM2.5 concentrations within the lower troposphere (1000 m) at a localized coastal area in Shanghai, China. Eight tethered balloon soundings and three UAV flights were conducted on May 25, 2016. Generalized additive models (GAMs) were used to quantitatively describe the relationships between air pollutants and other obtained parameters. Field observations showed that large variations were captured both in the vertical and horizontal distributions of ozone and PM2.5 concentrations. Significant stratified layers of ozone and PM2.5 concentrations as well as wind directions were observed throughout the day. Estimated bulk Richardson numbers indicate that the vertical mixing of air masses within the lower troposphere were heavily suppressed throughout the day, leading to much higher concentrations of ozone and PM2.5 in the planetary boundary layer (PBL). The NO and NO2 concentrations in the experimental field were much lower than that in the urban area of Shanghai and demonstrated totally different vertical distribution patterns from that of ozone and PM2.5. This indicates that aged air masses of different sources were transported to the experimental field at different heights. Results derived from the GAMs showed that the aggregate impact of the selected variables for the vertical variations can explain 94.3% of the variance in ozone and 94.5% in PM2.5. Air temperature, relative humidity and atmospheric pressure had the strongest effects on the variations of ozone and PM2.5. As for the horizontal variations, the GAMs can explain 56.3% of the variance in ozone and 57.6% in PM2.5. The strongest effect on ozone was related to air temperature, while PM2.5 was related to relative humidity. The output of GAMs also implied that fine aerosol particles were in the stage of growth in the experimental field, which is different from ozone (aged air parcels of ozone). Geographical parameters influenced the horizontal variations of ozone and PM2.5 concentrations by changing underlying surface types. The differences of thermodynamic properties between land and sea resulted in quick changes of PBL height, air temperature and dew point over the coastal area, which was linked to the extent of vertical mixing at different locations. The results of GAMs can be used to analyze the sources and formation mechanisms of ozone and PM2.5 pollutions at a localized area.