空气污染物小时监测数据的质量控制研究

发布时间：2018-05-20 04:37

本文选题：空气污染物 + 小时监测数据　；参考：《华东师范大学》2016年硕士论文

【摘要】：近年来日益频发的空气污染事件给人类生活和生态环境带来了严重的危害。建立完善的污染物监测网络,开展相关的质量保证和质量控制工作是进行进一步研究和分析的基础。目前我国关于环境空气污染物监测数据质量控制方面研究较少,且主要集中在关于质量保证工作的规范性内容方面,而针对原始监测数据进行数据审核、质量控制和数据质量评估方面的研究很少。根据这一现状,本文以环保部公布的2年时长的6种主要空气污染物小时监测数据为研究对象,设计了包含界限值检验,极值检验,时间一致性检验,变量间一致性检验和人工审核等步骤的质量控制方案,编制了对应不同数据质量的质量控制码,并选择了不一致性检验,Hanning滤波和稳健回归作为极值检验、时间一致性检验、变量间一致性检验步骤的主要检验方法。经检验,空气污染监测数据的整体数据质量较差,6种主要空气污染物中PM2.5, PM10, NO2和03的数据质量较好,多数站点的有效数据时长比例在70%-90%；CO序列中存在许多数据漂移现象；SO2中的部分站点存在大量的钉型跳变异常值。未来我国还应加强空气污染监测数据质量控制方面的研究和规范。
[Abstract]:In recent years, the increasingly frequent air pollution events have brought serious harm to human life and ecological environment. The foundation of further research and analysis is to establish a perfect pollutant monitoring network and carry out related quality assurance and quality control work. At present, there are few researches on the quality control of environmental air pollutants monitoring data in China, and mainly on the normative content of the quality assurance work. There is little research on quality control and data quality assessment. According to this situation, this paper takes the hourly monitoring data of 6 kinds of major air pollutants published by the Ministry of Environmental Protection as the research object, including limit value test, extreme value test, time consistency test, etc. The quality control codes corresponding to different data quality are worked out, and the inconsistency check Hanning filter and robust regression are selected as extremum test and time consistency test. The main method for checking the consistency between variables. The data quality of PM2.5, PM10, NO2 and 03 of the six major air pollutants is poor. The data quality of PM2.5, PM10, NO2 and 03 is better than that of PM2.5, PM10, NO2 and 03. There are many data drift phenomena in the 70 ~ 90 CO sequence and there are a large number of spike-type abnormal jump values in some stations in so _ 2. In the future, China should also strengthen the research and standardization of air pollution monitoring data quality control.
【学位授予单位】：华东师范大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：X831

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