Journal of Arid Meteorology ›› 2022, Vol. 40 ›› Issue (2): 256-265.DOI: 10.11755/j.issn.1006-7639(2022)-02-0256

• Articles • Previous Articles     Next Articles

Spatio-temporal distribution characteristics of greenhouse gases and their influence factors in Linfen with typical high-carbon emission

GAO Xingai(), ZHU Lingyun(), YAN Shiming, PEI Kunning, ZHANG Fengsheng, WANG Shumin, CHENG Pengwei   

  1. Shanxi Provincial Institute of Meteorological Sciences, Taiyuan 030002, China
  • Received:2021-06-15 Revised:2021-11-04 Online:2022-04-30 Published:2022-05-10
  • Contact: ZHU Lingyun

典型高碳排放城市临汾温室气体时空分布特征及影响因素

高兴艾(), 朱凌云(), 闫世明, 裴坤宁, 张逢生, 王淑敏, 成鹏伟   

  1. 山西省气象科学研究所,山西 太原 030002
  • 通讯作者: 朱凌云
  • 作者简介:高兴艾(1992— ),女,硕士,工程师,主要从事大气环境及温室气体监测研究. E-mail: gaoxa15@163.com
  • 基金资助:
    国家重点研发计划项目(2019YFC1510304);山西省重点研发计划项目(201803D31220);山西省基础研究计划青年科学研究项目(20210302124617);山西省气象局青年基金项目(SXKQNDW20205241);山西省气象局面上项目(SXKMSDQ20185122)

Abstract:

Based on observation data of CO2, CH4 mole fraction and temperature, relative humidity, wind speed and wind direction at Linfen station of Shanxi from 2013 to 2018, and ERA-5 PBL (planet boundary layer) reanalysis data from the European Center for Mediumrange Weather Forecasts (ECMWF) and GDAS (global data assimilation system) reanalysis data from the National Centers for Environmental Prediction (NCEP), the spatio-temperal distribution characteristics of two greenhouse gases concentration and their influence factors were analyzed in Linfen with high carbon emission. The results show that the annual average CO2 and CH4 mole fractions were 441.7×10-6 and 2359.5×10-9 at Linfen station, respectively, they were higher than that at background stations of globe and Waliguan of Qinghai Province and other city stations such as Pudong of Shanghai. There are very significantly positive correlations between CO2 and CH4 concentrations at Linfen in spring, autumn and winter, which indicates that the anthropogenic emissions dominate to carbon cycle of Linfen. The monthly change of CO2 and CH4 mole fraction with single peak and single valley pattern was obvious at Linfen, and the CO2 mole fraction was the highest in winter and the lowest in summer, while the CH4 mole fraction was the highest in winter and the lowest in spring. The CO2 and CH4 mole fraction were higher from 06:00 BST to 09:00 BST, while those were lower from 15:00 BST to 17:00 BST at Linfen, and their diurnal change ranges were the smallest in spring, while that of CO2 and CH4 mole fraction was the greatest in summer and winter, respectively. Apart from carbon emission source, the influence of meteorological conditions on CO2 and CH4 concentration is obvious in Linfen. The influence of temperature and humidity was more in summer, while that in other seasons was less. The photosynthesis and photochemical reactions enhance in summer, which lead to the decrease of CO2 and CH4 concentration, therefore the high temperature and low humidity are beneficial to the decrease of concentration. The average wind speed has significantly negative correlation with two greenhouse gases mole fraction, and the low wind speed is beneficial to the increase of concentration. In addition, the northeast and southeast winds are likely to transport industrial and other emission gases to the observation site and surrounding, which lead to the increase of two gases concentration at the site. Due to the influence of anthropogenic emission sources is most, the spatial distribution characteristic of CO2 concentration is better similar to CH4 concentration in Linfen in winter. In addition, the CH4 concentration in eastern Linfen is higher in the whole year, which may be attributed to the Qinshui coal field with the most yields in China.

Key words: CO2, CH4, spatio-temperal distribution characteristics, trajectory mapping, anthropogenic carbon emissions, Linfen of Shanxi Province

摘要:

利用山西省临汾城市站2013—2018年CO2、CH4摩尔分数及气温、相对湿度、风速风向观测资料,以及欧洲中期天气预报中心ERA-5 PBL(planet boundary layer)再分析资料和美国国家环境预报中心GDAS(global data assimilation system)再分析资料,分析高碳排放城市临汾两种温室气体浓度的时空分布特征及影响因素。结果表明:临汾市年平均CO2和CH4摩尔分数分别为441.7×10-6和2359.5×10-9,均高于全球平均值、青海瓦里关本底站以及上海浦东等城市站,且春、秋、冬季两种气体浓度具有极显著的正相关,临汾市人为碳排放是碳循环的主导因素。临汾市CO2和CH4摩尔分数呈明显的“单峰单谷型”月际变化,冬季两种气体摩尔分数均最高,而CO2夏季最低,CH4春季最低;CO2和CH4摩尔分数06:00—09:00(北京时,下同)较高,15:00—17:00较低,前者日变化幅度夏季最大、春季最小,而后者冬季最大、春季最小。除排放源外,气象条件对临汾市两种温室气体浓度也有一定影响。其中,夏季光合作用和光化学反应增强,高温低湿环境有利于CO2和CH4浓度降低,而其他季节二者受温度、湿度影响较小;平均风速与两种气体摩尔分数之间存在显著负相关关系,低风速有利于气体浓度升高,且东北风和东南风易将工业及其他排放气体输送到站点附近,导致气体浓度升高。临汾市冬季CO2和CH4浓度空间分布特征较为相似,主要是因为冬季两种气体受人为排放源影响最大。此外,临汾东部区域全年CH4浓度较高,这可能是该区域拥有中国产煤最多的沁水煤田。

关键词: CO2, CH4, 时空分布特征, 轨迹映射, 人为碳排放, 山西临汾市

CLC Number: