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首页> 外文期刊>Croatica Chemica Acta >Trends, Distribution and Frequency Analysis of Ozone Data from Three Monitoring Stations in Baton Rouge, Louisiana for the Years 1995 to 2005
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Trends, Distribution and Frequency Analysis of Ozone Data from Three Monitoring Stations in Baton Rouge, Louisiana for the Years 1995 to 2005

机译：1995年至2005年路易斯安那州巴吞鲁日三个监测站的臭氧数据趋势，分布和频率分析

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Koncentracije troposferskog ozona pokazuju izražene, karakteristične dnevne i sezonske cikluse. Ti ciklusi obično su dobro definirani. Međutim, događaju se i dodatni ciklusi; oni su u pravilu mnogo niže amplitude od 1-dnevnog i 1-godišnjeg ciklusa i mogu se povezati s ljudskim utjecajem (npr. specifični čovjekom izazvani meteorološki i kemijski utjecaji na pojedinu mjernu stanicu, periodične servisne aktivnosti i dr.). No spektralna analiza podataka fotokemijskog onečišćenja može i ukazati na skrivene uvjete koji utječu na određenu mjernu stanicu. Takva analiza koja se temelji na metodi Fourierove transformacije primijenjena je na dugogodišnje podatke s 3 američke mjerne stanice. Prema očekivanju nađeni su jaki signali za 1-dnevni i 1-godišnji period te periodi od tri i pol i sedam dana kao i neki slabiji signali s periodima između 7 do 90 dana koji su vjerojatno povezani s antropogenim djelovanjem. Primjena metode analize glavne komponente (Principal Component Anal-ysis, PCA) na te periode dala je rangiranje stanica obzirom na ozonsko onečišćenje. Europski i američki podaci su upoređeni te istraženi efekti orkana Katrina na ozonske podatke.%Troposphere ozone concentrations exhibit pronounced, characteristic diurnal and seasonal cycles. These cycles are usually well defined. However, additional oscillations also occur; these are generally much smaller in amplitude than the 1-day or 1-year cycles and they might be attributable to anthropogenic influences (e.g., specific man-induced meteorological and chemical influences on an individual monitoring station, periodic maintenance activities, etc.). Indeed, it is possible that the spectral analysis of photochemical pollution data could pinpoint hidden conditions that affect particular monitoring stations. Such an analysis, one based on Fourier transform methods, was applied to long-term data from 3 American monitoring stations. As would be expected, strong signals were found for the 1-day and 1-year periods; however, some weaker signals, ones probably associable with anthropogenic affairs, were also observed. A principal component analysis (PCA) was applied to the transformed data sets in order to identify these periods. Periods of 3.5-days and 7-days, as well as a number of other cycles, were found and can be considered to be markers of anthropogenic influences. European and American data will be compared and the effects of Hurricane Katrina will be examined.
机译：对流层臭氧浓度显示出明显的特征性昼夜和季节周期。这些周期通常是明确定义的。但是，还会发生其他循环。它们的幅度通常比1天和1年周期低得多，并且可能与人为影响有关（例如，人为对特定测量站产生的气象和化学影响，定期服务活动等）。但是，对光化学污染数据的光谱分析也可能表明影响特定测量站的潜在条件。这种基于傅立叶变换法的分析被应用于来自3个美国测量站的长期数据。正如预期的那样，在1天和1年期间以及3天半和7天期间发现了强烈的信号，而在7到90天之间的一些较弱的信号可能与人为活动有关。主成分分析法（PCA）在这些时期的应用使细胞在臭氧污染方面排名靠前。比较了欧洲和美国的数据，并研究了卡特里娜飓风对臭氧数据的影响。对流层臭氧浓度显示出明显的，特征性的昼夜和季节周期。这些周期通常是明确定义的。但是，还会发生其他振荡。它们的幅度通常比1天或1年周期小得多，并且可能归因于人为影响（例如，个别监测站的特定人为气象和化学影响，定期维护活动等）。确实，光化学污染数据的光谱分析有可能查明影响特定监测站的隐患。这种分析是基于傅立叶变换方法的，已应用于来自3个美国监测站的长期数据。不出所料，在1天和1年期间发现了强烈的信号。但是，还观察到一些较弱的信号，可能与人为事件有关。将主成分分析（PCA）应用于转换后的数据集，以识别这些时间段。发现了3.5天和7天的周期以及许多其他周期，可以将其视为人为影响的标志。将比较欧洲和美国的数据，并检查卡特里娜飓风的影响。

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