Quality assessment of monitored environmental data in the frequency domain

G. Latini, G. Passerini
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引用次数: 1

Abstract

Ozone is a secondary pollutant that forms in the atmosphere through complex chemical reactions mainly between Nitrogen Oxides and Volatile Organic Compounds. Such reactions are triggered by the presence of solar radiation. On August 2000 several Ozone episodes occurred in Falconara Marittima, a municipality of Ancona Province that hosts an oil refinery. Data acquired at monitoring stations showed high levels of Ozone and very high levels of Hydrocarbons. Two years later, we were asked to study the episodes. Some specialists had argued that monitored data, although validated and accepted by authorities, seemed affected by errors. Being impossible to exclude a fault, we thought to reduce the range of plausible malfunctions. In fact, environmental data sets, acquired at monitoring stations, may be analyzed in the frequency domain to reveal periodic components that do not emerge after a preliminary study of time series. This procedure may help data validation procedures, especially when data sets are supposed prone to errors.
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频域环境监测数据的质量评价
臭氧是一种二次污染物,主要通过氮氧化物和挥发性有机化合物之间的复杂化学反应在大气中形成。这种反应是由太阳辐射引起的。2000年8月,安科纳省的法尔科纳拉马里蒂玛市发生了几次臭氧事件,该市拥有一家炼油厂。监测站获得的数据显示臭氧含量很高,碳氢化合物含量非常高。两年后,我们被要求研究这些情节。一些专家认为,监控数据虽然得到了当局的验证和接受,但似乎受到了错误的影响。由于无法排除故障,我们想减少可能出现故障的范围。事实上,在监测站获得的环境数据集可以在频域进行分析,以揭示在时间序列的初步研究之后没有出现的周期性成分。这个过程可以帮助数据验证过程,特别是当数据集被认为容易出错时。
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