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Spatial and temporal variations in the trace elemental data over the northeastern United States

机译:美国东北部痕量元素数据的时空变化

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Time series of trace elemental concentrations (14 species) of atmospheric fine particles measured in the northeastern United States between 1988 and 1998 are analyzed for spatial and temporal variations. The influence of synoptic-scale systems to the transport and accumulation of pollutants can be investigated successfully if the short-term fluctuations (i.e. weather-induced variations) embedded in the time series of pollutant concentrations are separated from the original time series. The spatial short-term correlation coefficients for Al, Br, Fe, Se, and Zn permit good predictions of pollutant concentrations up to distances of about 350 km from a given monitor. The species correlation matrices for individual sites reveal that As, Br, Se, and Zn are highly correlated in New York State, while Fe, Mn, and V show also strong correlations, suggesting the commonality of source regions for these industrial and urban pollutants impacting New York. Published by Elsevier Science Ltd. [References: 20]
机译:分析了美国东北部在1988年至1998年之间测得的大气微粒的痕量元素浓度(14种)的时间序列的时空变化。如果嵌入污染物浓度时间序列的短期波动(即天气引起的变化)与原始时间序列分开,则可以成功地研究天气尺度系统对污染物的运输和积累的影响。 Al,Br,Fe,Se和Zn的空间短期相关系数可以很好地预测距给定监测器约350 km处的污染物浓度。各个地点的物种相关矩阵显示,纽约州的As,Br,Se和Zn高度相关,而Fe,Mn和V也具有很强的相关性,表明这些影响工业和城市污染物的源区具有共同性。纽约。由Elsevier Science Ltd.发布[参考:20]

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