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作 者:姜亦飞[1,2] 王先桥[1,2] 王海燕[2] 许宇山 吕洪刚[1,2] JIANG Yi-fei;WANG Xian-qiao;WANG Hai-yan;XU Yu-shan;LÜHong-gang(Key Laboratory of Marine Hazards Forecasting,National Marine Environmental Forecasting Center,Ministry of Natural Resources,Beijing 100081,China;National Marine Environmental Forecasting Center,Beijing 100081,China;Sansha Marine Environmental Monitoring Center,State Oceanic Administration,Haikou 570311,China)
机构地区:[1]国家海洋环境预报中心,自然资源部海洋灾害预报技术重点实验室,北京100081 [2]国家海洋环境预报中心,北京100081 [3]国家海洋局三沙海洋环境监测中心站,海南海口570311
出 处:《中国环境科学》2021年第11期5054-5059,共6页China Environmental Science
基 金:国家重点研发计划(2017YFC1403306)。
摘 要:依托国家海洋局三沙海洋环境监测中心站,基于激光大气温室气体分析仪(GLA331-GGA),搭建了一套全自动、连续、高精度观测大气CH_(4)的观测系统.通过气团后向轨迹输送特征,结合数值统计方法(局部近似回归法),对西沙永兴岛区域2013年12月~2017年11月期间的观测数据进行了数据筛分和分析.结果显示:西沙海域大气CH_(4)季节变化与北半球大气本底变化状况类似,冬季高、夏季低,年平均增长率约为11.9×10^(-9),年平均季节振幅为81.1×10^(-9);其日变化呈现中午低、凌晨高的单周期正弦变化特征;该区域风场数据和气团后向轨迹分析表明:季风是影响该区域CH_(4)浓度变化的最主要因素.Based on the laser greenhouse gas analyser(GLA331-GGA),an automatic continuous high-accuracy observation system was set up for real-time measurement of atmospheric CH_(4) supported by the Sansha Marine Environmental Monitoring Center of State Oceanic Administration.According to the characteristics revealed by backward trajectory of air masses,combining with numerical statistical methods(e.g.robust local regression),the real-time observation data of atmospheric methane in Yongxing Island during the period from December 2013 to October 2017 were screened and analyzed.The results indicate that the concentration of atmospheric CH_(4) in Yongxing Island presented an apparent seasonal variation:high in winter and low in summer,which is similar to that of the atmospheric background in the Northern Hemisphere.The annual growth rate of CH_(4) was about 11.9×10^(-9) on average,and the annual average seasonal amplitude was 81.1 ppb.The diurnal variation of CH_(4) concentration showed a single-period sinusoidal variation:low at noon and high in the wee hours.The analysis of wind field data and backward trajectory of air masses demonstrated that the monsoon is the key factor impacting on the variations of CH_(4) concentration in the area.
分 类 号:X511[环境科学与工程—环境工程]
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