主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

气象与环境学报 ›› 2023, Vol. 39 ›› Issue (5): 44-52.doi: 10.3969/j.issn.1673-503X.2023.05.006

• 论文 • 上一篇    下一篇

2009—2019年黑龙江龙凤山区域大气本底站CO2浓度变化特征

谢桐川1,2(),赵胡笳1,*(),王鹏2,代家庚2,孙敬敏2,侯续丽3,吕明佳4,马文博5,刘宁微1   

  1. 1. 中国气象局沈阳大气环境研究所,辽宁沈阳 110166
    2. 龙凤山区域大气本底站,黑龙江哈尔滨 150200
    3. 鹤岗市气象局,黑龙江鹤岗 154100
    4. 佳木斯气象卫星地面站,黑龙江佳木斯 154008
    5. 延吉市气象局,吉林延吉 133001
  • 收稿日期:2022-04-19 出版日期:2023-10-28 发布日期:2023-11-28
  • 通讯作者: 赵胡笳 E-mail:qwe521328@163.com;tjzhj4659@sina.com
  • 作者简介:谢桐川,男, 1985年生,工程师,主要从事大气成分观测与科研服务研究,E-mail: qwe521328@163.com
  • 基金资助:
    龙凤山科技野外试验平台开放项目(LFS202107);国家自然科学基金面上项目(42175185);上甸子大气本底站开放研究课题(SDZ20220912);辽宁省自然科学基金面上项目(2022-MS-098)

Long-term variation of CO2 concentration at Longfengshan regional background station in Heilongjiang province from 2009 to 2019

Tongchuan XIE1,2(),Hujia ZHAO1,*(),Peng WANG2,Jiageng DAI2,Jingmin SUN2,Xuli HOU3,Mingjia LV4,Wenbo MA5,Ningwei LIU1   

  1. 1. Institute of Atmospheric Environment, China Meteorologial Administration, Shenyang 110016, China
    2. Longfengshan Regional Atmospheric Background Station, Harbin 150200, China
    3. Hegang Meteorological Service, Hegang 154100, China
    4. Meteorological Satellite Earth Station of Jiamusi, Jiamusi 154008, China
    5. Yanji Meteorological Service, Yanji 133001, China
  • Received:2022-04-19 Online:2023-10-28 Published:2023-11-28
  • Contact: Hujia ZHAO E-mail:qwe521328@163.com;tjzhj4659@sina.com

摘要:

利用2009—2019年黑龙江龙凤山区域大气本底站CO2浓度长期监测数据,分析了中国东北区域大气本底站CO2浓度的日变化、月变化以及年际变化趋势,探讨了影响龙凤山区域大气本底站CO2浓度的气象驱动因子。结果表明: 龙凤山大气本底站CO2浓度日变化表现为在夏季变化幅度最大,其次是秋季,春季次之,冬季变化幅度最小,每日峰值出现在08:00之前,16:00左右出现最低值。CO2浓度月变化表现为最大值出现在1月,平均值约为416.1×10-6,最小值出现在7月,平均值为391.1×10-6。CO2浓度季节变化表现为冬季CO2浓度明显高于其他季节,平均值为415.4×10-6,夏季出现最低值,其平均值为395.8×10-6。研究期内龙凤山区域大气本底站CO2平均浓度呈现增长趋势,增长率为2.45×10-6/a。龙凤山区域大气本底站春季最大频率风向出现在SSW方向(21.0%),夏季最大频率风向出现在SSW和S方向(23.1%和22.7%),秋季最大频率风向出现在SSW方向(23.4%),冬季风向频率最大值出现在SW方向(31.6%),不同季节CO2浓度高值均出现在北风主导条件下。龙凤山区域大气本底站CO2浓度与温度呈负相关(-0.54),相对湿度与CO2浓度在春季和秋季呈显著负相关(-0.44和-0.55),CO2浓度与风速相关性较小,可能与较高浓度CO2源输送有关。

关键词: 温室气体, CO2, 气象要素, 区域大气本底站

Abstract:

The long-term monitoring data of CO2 concentration in the Longfengshan regional atmospheric background station from 2009 to 2019 were used to analyze the daily, monthly, and interannual variation trends of CO2 concentration in Northeast China.The meteorological driving factors affecting the CO2 concentration of atmospheric background stations in the Longfengshan region were discussed.The results show that the diurnal variation of CO2 concentration in Longfengshan atmospheric background station is the largest in summer, followed by autumn, spring, and the smallest in winter.The daily peak value occurs before 08:00 and the lowest value occurs around 16:00.The monthly variation of CO2 concentration shows that the maximum value appears in January, with an average value of about 416.1×10-6, and the minimum value appeared in July, with an average value of 391.1×10-6.The seasonal variation of CO2 concentration shows that the CO2 concentration in winter is significantly higher than that in other seasons, with an average value of 415.4×10-6, and the lowest value appeared in summer, with an average value of 395.8×10-6.During the study period, the average CO2 concentration of Longfengshan station shows an increasing trend, with an annual growth rate of 2.45×10-6/a.At the Longfengshan background station, the maximum frequency wind direction appears in SSW direction in spring (21.0%), the maximum frequency wind direction appears in SSW and S direction in summer (23.1% and 22.7%), the maximum frequency wind direction appears in SSW direction in autumn (23.4%), and the maximum frequency wind direction appears in SW direction in winter (31.6%).The high CO2 concentration in different seasons occurs under the north wind dominant condition.There is a negative correlation between CO2 concentration and temperature (- 0.54), and a significant negative correlation between relative humidity and CO2 concentration in spring and autumn (- 0.44 and - 0.55).There is a small correlation between CO2 concentration and wind speed, which may be related to the transport of higher-concentration CO2 sources.

Key words: Greenhouse gases, CO2, Meteorological elements, Regional background station

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