| 应用稳健统计方法对环境空气臭氧自动监测现场比对核查结果的分析研究 |
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| 引用本文： | 师耀龙,杨婧,姚雅伟,李成,滕曼,柴文轩,楚宝临,付强.应用稳健统计方法对环境空气臭氧自动监测现场比对核查结果的分析研究[J].中国环境监测,2017,33(4):207-212. |
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| 作者姓名： | 师耀龙 杨婧 姚雅伟 李成 滕曼 柴文轩 楚宝临 付强 |
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| 作者单位： | 中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,河北农业大学科学技术研究院, 河北 保定 071001,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012,中国环境监测总站, 国家环境保护环境监测质量控制重点实验室, 北京 100012 |
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| 摘 要： | 根据2015年9个城市53台现场臭氧分析仪的现场比对核查结果,比较研究了稳健统计方法和一般统计方法在评价国控网臭氧自动监测数据准确性和精密性上的应用。研究表明:稳健统计能够在不剔除异常数据的前提下降低异常值对正确评价臭氧自动监测数据质量的影响,适合评价现场比对核查结果;采用Hubers方法进行稳健统计,2015年国控网臭氧日常浓度点相对偏差的95%置信区间约为-0.1%至4.5%,95%预测区间为-14.0%~18.3%,变异系数约为9.5%,数据质量仍有提升空间。
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| 关 键 词： | 环境空气监测 臭氧 现场比对核查 稳健统计 |
| 收稿时间： | 2016/5/27 0:00:00 |
| 修稿时间： | 2016/8/25 0:00:00 |
The Application of Robust Statistics in Analyzing Data from the Local Evaluation of Ambient Air Ozone Online Monitoring |
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| SHI Yaolong,YANG Jing,YAO Yawei,LI Cheng,TENG Man,CHAI Wenxuan,CHU Baolin and FU Qiang.The Application of Robust Statistics in Analyzing Data from the Local Evaluation of Ambient Air Ozone Online Monitoring[J].Environmental Monitoring in China,2017,33(4):207-212. |
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| Authors: | SHI Yaolong YANG Jing YAO Yawei LI Cheng TENG Man CHAI Wenxuan CHU Baolin and FU Qiang |
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| Institution: | State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Bejing 100012, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Bejing 100012, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Bejing 100012, China,Institute of Science and Technology, Agricultural University of Hebei, Baoding 071001, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Bejing 100012, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Bejing 100012, China,State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Bejing 100012, China and State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Bejing 100012, China |
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| Abstract: | Based on the data from local evaluations of 53 ambient air ozone analyzers in 9 cities, the application of robust and normal statistics in evaluating the accuracy and precision of the ozone monitoring data from national ambient air monitoring network were compared. The results indicated that robust statistics could reduce the impact of outliers to evaluate the data quality of online ozone monitoring, fitting with the local evaluation data; based on the Hubers robust method, the 95% confidence interval of normal ozone concentration is between -0.1% and 4.5% in 2015, the 95% prediction interval is between -14.0% and 18.3%, the coefficient of variation is 9.5%. The data quality of ozone monitoring still need to be improved. |
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| Keywords: | ambient air monitoring ozone local evaluation robust statistics |
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