摘要
基于江西景德镇温室气体站2017年12月~2018年11月筛分获得的CH_(4)及CO大气本底和污染浓度数据,对大气CH_(4)和CO浓度季节变化及其排放源特征进行研究,结果表明:大气CH_(4)和CO本底浓度季节变化特征与浙江临安本底站类似,即夏季低而冬季高,而夏季江西地区水稻田和湿地排放导致CH_(4)污染浓度显著抬升,相比本底浓度抬升幅度可达133.9×10^(-9),冬季受西北部地区取暖排放的区域输送的影响,1月CO污染平均浓度较本底浓度抬升达227.2×10^(-9).基于本底数据及污染数据,结合后向轨迹模型分析发现景德镇站大气CO潜在排放源主要分布在湖北东南部(四季)、安徽(秋冬季)、山东中部(秋季)、长江三角洲上海及杭州(夏秋季)、湖南东部和江西地区(冬季)等区域,其中冬季湖南东部和江西地区贡献率达53.7%,CH_(4)排放源主要集中在江西地区(夏季)、长江三角洲杭州、南京及安徽南部覆盖区域(夏季)、湖北东南部(夏秋季)以及安徽(秋季)、山东中部(秋季)等区域,夏季南京、杭州及安徽南部覆盖区域的CH_(4)排放对景德镇站CH_(4)浓度抬升的贡献率达到69.5%.大气CH_(4)及CO呈现较好的相关性,冬季其相关系数可达0.86,受CH_(4)和CO源汇季节变化影响,CH_(4)/CO排放比呈现冬季低值(0.31)、夏季高值(1.06).
Continuous observations of CH_(4) and CO concentrations were conducted at the Jingdezhen(JDZ)station in Jiangxi Province from December 2017 to November 2018,which was further filtered into background and polluted compositions to better evaluate their seasonal variations and emission sources.Results showed that the seasonal characteristics of both background CH_(4) and CO were similar with those conducted at Lin’an station in Zhejiang Province,with the minimum in summer and the maximum in winter.Compare with background,the polluted concentration of atmospheric summertime CH_(4) exhibited strong enhancements above the background values(133.9×10^(-9))due to the emissions from rice paddies and wetland.Meanwhile,the polluted concentration of atmospheric wintertime CO also exhibited enhancements relative to the background values(227.2×10^(-9))due to the emission of anthropogenic emission such as biomass burning and heating,which was transported from the northwestern regions.In general,we found the potential emission sources of atmospheric CO distributed in the southeast part in Hubei Province during the whole year,Anhui Province during the autumn and winter,the central Shandong Province during the autumn,Shanghai and Hangzhou during the summer and autumn,eastern region in Hunan Province and Jiangxi Province during the winter by using the HYPSLIT model,among which the contribution of the eastern region in Hunan Province and Jiangxi Province reached up to 53.7%.For CH_(4),its potential sources mainly distributed in Jiangxi Province,Hangzhou and Nanjing city in Yangtze River Delta,the southern parts in Anhui Province,and the southeastern regions in Hubei Province during the summer,and the central Shandong Province during the autumn.The contribution of the emission from Nanjing,Hangzhou,and the southern region of Anhui Province to the enhancement of the background CH_(4) concentration was as high as 69.5%.High correlation coefficient between CH_(4) and CO was found as high as 0.86 and the emission ratio of CH_(4) to CO exhibited significant variation with low value in winter(0.31)and high value in summer that can be explained by the seasonal variation in the sources and sinks of CH_(4) and CO(1.06).
作者
夏玲君
张根
陈昆
占明锦
孔萍
李柏贞
戴志健
XIA Ling-jun;ZHANG Gen;CHEN Kun;ZHAN Ming-jin;KONG Ping;LI Bo-zhen;DAI Zhi-jian(Jiangxi Ecological Meteorology Center,Nanchang 330096,China;State Key Laboratory of Severe Weather&Key Laboratory of Atmospheric Chemistry of CMA,Chinese Academy of Meteorological Sciences,Beijing 100081,China;Jingdezhen Meteorological Bureau of Jiangxi Province,Jingdezhen 333000,China)
出处
《中国环境科学》
EI
CAS
CSCD
北大核心
2021年第12期5485-5494,共10页
China Environmental Science
基金
国家自然科学基金资助项目(42105159,42075112,41775127)
中国气象科学研究院基本科研业务费资助项目(2020Z002)
江苏省大气环境监测与污染控制高技术研究重点实验室开放基金资助项目(KHK1903)
江西省气象局重点项目(201905)。
