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本底大气CO_2观测分析过程中QA/QC方法的建立与评估 被引量:4

Establishment and Assessment of QA/QC Method for Sampling and Analysis of Atmosphere Background CO_2
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摘要 建立科学规范的本底大气CO2采样观测分析过程中的质量保证与质量控制方法,是实现该数据资源同化和共享的基础.本研究以中国气象局温室气体网络化采样观测经验为基础,以便携式采样观测、波长扫描-光腔衰荡(WS-CRDS)分析技术为例,系统介绍了我国青海瓦里关全球本底站大气中CO2采样观测过程中的质量保证措施,样品分析过程中的玻璃瓶质量保证措施和样品分析过程中的系统质量控制方法、数据处理过程中的校正方法、数据分级质量标记和数据拟合插补方法等;并重点对该方法中几个关键步骤进行了评估验证;最后,应用本研究方法,对我国3个区域大气本底站CO2的采样观测数据进行了处理和浓度变化特征分析,说明本研究方法也可以较好地捕捉区域和局地环境因素影响对观测结果的影响,并客观、准确地反映该区域的自然和人为活动特征. To strengthen scientific management and sharing of greenhouse gas data obtained from atmospheric background stations in China, it is important to ensure the standardization of quality assurance and quality control method for background CO2 sampling and analysis. Based on the greenhouse gas sampling and observation experience of CMA, using portable sampling observation and WS-CRDS analysis technique as an example, the quality assurance measures for atmospheric CO2 sampling and observation in the Waliguan station (Qinghai), the glass bottle quality assurance measures and the systematic quality control method during sample analysis, the correction method during data processing, as well as the data grading quality markers and data fitting interpolation method were systematically introduced. Finally, using this research method, the CO2 sampling and observation data at the atmospheric background stations in 3 typical regions were processed and the concentration variation characteristics were analyzed, indicating that this research method could well catch the influences of the regional and local environmental factors on the observation results, and reflect the characteristics of natural and human activities in an objective and accurate way.
出处 《环境科学》 EI CAS CSCD 北大核心 2014年第12期4482-4488,共7页 Environmental Science
基金 国家重点基础研究发展规划(973)项目(2010CB950601) 国家自然科学基金项目(40905066 41175116 41273097) 科技部国际合作项目(2011DFA21090) 中国气象局气象关键技术集成与应用项目(CMAGJ2013M73)
关键词 本底大气CO2 质量保证与质量控制 观测分析 数据处理 评估 background CO2 quality assurance and quality control sampling and analysis data processing assessment
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