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Factors influencing the Variability of SO2 Concentrations in Istanbul

机译:影响伊斯坦布尔SO2浓度变化的因素

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The correlation between sulfur dioxide (SO2) concentra- tions measured at the European and Asian sides of Istanbul and meteorological parameters is investigated using prin- cipal component analysis (PCA) and multiple regression analysis techniques. Several meteorological parameters are selected to represent the atmospheric conditions during two winter periods: 1993-1994 and 1994-1995. Six prin- cipal components are found to explain the majority of the observed meteorological variability Surface pressure, 850-mb temperature, and surface zonal (east-west) and meridional (north-south) winds show high loadings on separate factors identified by PCA. We seek dominant meteorological parameters that control the SO2 levels at each monitoring station. Several multiple regression analy- sis models are fitted to the data from each monitoring station using six principal components and previous-day SO2 concentrations as independent variables. Results suggest that the most important parameters, highly correlated with SO2 concentrations in the Istanbul metropolitan area, are atmospheric pressure and surface zonal and meridional winds. These components have more influence on the determination of the air pollution levels at the Asian side than at the European side.
机译:使用主成分分析(PCA)和多元回归分析技术,研究了伊斯坦布尔欧洲和亚洲一侧测得的二氧化硫(SO2)浓度与气象参数之间的相关性。选择了几个气象参数来表示两个冬季:1993-1994年和1994-1995年的大气状况。发现六个主要成分解释了大部分观测到的气象变异性。表面压力,850 mb温度以及地带(东西向)和子午线(南北)风在由PCA识别的单独因素上显示出高负荷。我们寻求控制每个监测站SO2水平的主要气象参数。使用六个主要成分和前一天的SO2浓度作为自变量,对每个监测站的数据拟合了多个多元回归分析模型。结果表明,最重要的参数与伊斯坦布尔市区的SO2浓度高度相关,是大气压力以及地表纬向和子午风。这些成分对确定欧洲一侧的空气污染水平的影响要大于欧洲一侧。

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