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龙凤山本底站大气CO2数据筛分及浓度特征研究
引用本文:栾天,周凌晞,方双喜,姚波,王红阳,刘钊.龙凤山本底站大气CO2数据筛分及浓度特征研究[J].环境科学,2014,35(8):2864-2870.
作者姓名:栾天  周凌晞  方双喜  姚波  王红阳  刘钊
作者单位:中国气象科学研究院中国气象局大气化学重点开放实验室, 北京 100081;南京信息工程大学大气物理学院, 南京 210044;中国气象科学研究院中国气象局大气化学重点开放实验室, 北京 100081;中国气象科学研究院中国气象局大气化学重点开放实验室, 北京 100081;中国气象科学研究院中国气象局大气化学重点开放实验室, 北京 100081;中国气象科学研究院中国气象局大气化学重点开放实验室, 北京 100081;中国气象科学研究院中国气象局大气化学重点开放实验室, 北京 100081
基金项目:国家自然科学基金项目(41175116);国家重点基础研究发展规划(973)项目(2010CB950601);中国气象局气候变化专项(CCSF201345);江苏省普通高校研究生科研创新计划项目(CXZZ13_0510);中国气象局关键技术集成与应用项目(CMAGJ2013M73)
摘    要:针对黑龙江龙凤山区域大气本底站2009年1月~2011年12月低层(离地10 m)和高层(离地80 m)大气CO2在线观测数据,选取低层数据重点开展研究,分析地面风向和风速等因素对观测CO2浓度的影响.结果表明,龙凤山低层大气CO2浓度明显受局地源汇影响,其与高层观测结果差异在白天08:00~17:00相对较小,小于(0.5±0.5)×10-6(物质的量比).春、夏和秋这3个季节E-ESE-SE-SSE扇区来向的地面风会明显抬升大气CO2浓度,而冬季N-NNW-NW-WNW扇区CO2浓度明显较高.该站4个季节近地面CO2浓度随着风速增大而逐渐减小,在冬季尤为明显.结合日变化及地面风的影响,对低层观测数据进行初步本底/非本底筛分,筛选出代表东北区域混合均匀CO2水平的本底数据占总数据的30.7%.本底CO2浓度季节变化显示该站大气CO2浓度呈现冬季高夏季低的趋势,季振幅约为(36.3±1.4)×10-6,明显大于同期WMO/GAW同纬度站点观测结果,2009~2011年龙凤山大气CO2平均增长率为2.4×10-6a-1.

关 键 词:大气CO2  龙凤山  数据筛选  浓度  趋势变化
收稿时间:2013/12/9 0:00:00
修稿时间:2014/2/24 0:00:00

Atmospheric CO2 Data Filtering Method and Characteristics of the Molar Fractions at the Longfengshan WMO/GAW Regional Station in China
LUAN Tian,ZHOU Ling-xi,FANG Shuang-xi,YAO Bo,WANG Hong-yang and LIU Zhao.Atmospheric CO2 Data Filtering Method and Characteristics of the Molar Fractions at the Longfengshan WMO/GAW Regional Station in China[J].Chinese Journal of Environmental Science,2014,35(8):2864-2870.
Authors:LUAN Tian  ZHOU Ling-xi  FANG Shuang-xi  YAO Bo  WANG Hong-yang and LIU Zhao
Institution:Key Laboratory for Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China;School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China;Key Laboratory for Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China;Key Laboratory for Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China;Key Laboratory for Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China;Key Laboratory for Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China;Key Laboratory for Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China
Abstract:Based on the in-situ observation results of atmospheric CO2 molar fractions at two levels (10 m and 80 m above the ground) at Longfengshan (LFS) regional background station in Heilongjiang Province during January 2009 to December 2011, this study mainly focused on the results from 10 m above the ground level (a.g.l.). The results indicated that the observed data from 10 m were strongly affected by the local sources/sinks. The differences between the 10 m and 80 m results were relatively small during the daytime (08:00-17:00) with values smaller than (0.5±0.5)×10-6. In spring, summer and winter, higher CO2 molar fractions were observed when surface winds came from the E-ESE-SE-SSE sectors, while, in winter, surface winds from the N-NNW-NW-WNW sectors obviously enhanced the observed values. Generally, lower CO2 values were accompanied with higher wind speed in the four seasons. This phenomenon was most obvious in winter. Based on the analysis of the observed diurnal cycles and the local meteorological conditions, the observed data from 10 m were filtered into background/non-background events. About 30.7% valid hourly data were filtered as regional background representative. The background CO2 variation displayed a peak in winter and a valley in summer with a seasonal peak to peak amplitude of (36.3±1.4)×10-6, which was higher than the values at similar latitude from Marine Boundary Layer (MBL) References and WMO/GAW stations. The yearly CO2 increasing rate at LFS was roughly estimated to be 2.4×10-6 a-1.
Keywords:atmospheric CO2  Longfengshan regional background station  data selection  molar fraction  trend variation
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