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松弛涡旋累积法获取细颗粒物湍流通量的实验研究
引用本文:卫茁睿,张宏昇,葛红星,蔡旭晖,宋宇,康凌.松弛涡旋累积法获取细颗粒物湍流通量的实验研究[J].环境科学学报,2020,40(7):2400-2407.
作者姓名:卫茁睿  张宏昇  葛红星  蔡旭晖  宋宇  康凌
作者单位:北京大学物理学院大气与海洋科学系,气候与海-气实验室,北京100871,北京大学物理学院大气与海洋科学系,气候与海-气实验室,北京100871,南京电子技术研究所,南京210039,北京大学环境科学与工程学院环境科学系,环境模拟与污染控制国家重点联合实验室,北京100871,北京大学环境科学与工程学院环境科学系,环境模拟与污染控制国家重点联合实验室,北京100871,北京大学环境科学与工程学院环境科学系,环境模拟与污染控制国家重点联合实验室,北京100871
基金项目:国家重点基础研究发展规划项目(No.2017YFC0209600,2016YFC0203300);国家自然科学基金(No.91837209,41544216);新疆维吾尔自治区高层次(柔性)人才引进项目(2018)
摘    要:利用2018年12月27日-2019年1月8日山东省平原县大气环境实验站观测资料,基于近地面层各物理量湍流输送特征的相似性,以温度(T)作为代理变量,采用松弛涡旋累积法(The Relaxed Eddy Accumulation,REA)计算了重霾天气过程细颗粒物湍流通量,并给出了可信度验证.结果表明:实验观测期间,温度(T)、水汽(H2O)、二氧化碳(CO2)等不同物理量的REA法获取的湍流通量的经验系数b分别为bT=0.56、bH2O=0.56、bCO2=0.56.经验系数b的中位数随归一化采样阈值HREA的增大而逐渐减小;b值的离散性随HREA的变化存在一个极小值;考虑到温度b值的离散性最小,建议选取温度作为代理变量.REA法计算的细颗粒物湍流通量结果与细颗粒物湍流通量测量装置的结果具有较好的一致性,说明采用代理变量的REA法适用于细颗粒物湍流通量的获取.

关 键 词:松弛涡旋累积法  代理变量  细颗粒物  湍流通量  重霾天气
收稿时间:2019/12/22 0:00:00
修稿时间:2020/3/15 0:00:00

Estimating the turbulent flux of the fine particulate matter by the relaxed eddy accumulation method
WEI Zhuorui,ZHANG Hongsheng,GE Hongxing,CAI Xuhui,SONG Yu,KANG Ling.Estimating the turbulent flux of the fine particulate matter by the relaxed eddy accumulation method[J].Acta Scientiae Circumstantiae,2020,40(7):2400-2407.
Authors:WEI Zhuorui  ZHANG Hongsheng  GE Hongxing  CAI Xuhui  SONG Yu  KANG Ling
Institution:Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871;Nanjing Research Institute of Electronics Technology, Nanjing 210039;State Key Joint Laboratory of Environmental Simulation and Pollution Control, Department of Environmental Science, College of Environmental Sciences and Engineering, Peking University, Beijing 100871
Abstract:Based on the relaxed eddy accumulation (REA) method, the turbulent flux of the fine particulate matter was estimated by using the data collected at the atmospheric environmental station in Pingyuan county, Shandong Province during a heavy haze event from December 27, 2018 to January 8, 2019. The results show that the empirical coefficients b of various physical quantities (temperature(T), water vapor(H2O), and carbon dioxide(CO2)) for estimating the turbulent fluxes by the REA method are bT=0.56, bH2O=0.56, and bCO2=0.56, respectively. The median of b gradually decreases with the increase of the normalized sampling threshold HREA. The corresponding parameters were selected when the dispersion of b reaches minimum. The turbulent flux calculated by the REA method is compared well with the observations from the rapid response measuring equipment. The method proposed in this study could be used to estimate the turbulent flux of the fine particulate matter.
Keywords:the Relaxed Eddy Accumulation method  representative quantity  the fine particulate matter  turbulent flux  heavy haze pollution
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