Terrado Marta, Kuster Marina, Raldúa Demetrio, Lopez de Alda Miren, Barceló Damià, Tauler Romà
Department of Environmental Chemistry, IIQAB-CSIC, Jordi Girona 18-26, 08034 Barcelona, Spain.
Anal Bioanal Chem. 2007 Feb;387(4):1479-88. doi: 10.1007/s00216-006-1038-5. Epub 2007 Jan 17.
Data sets obtained from quantitative analysis of seventeen pesticides in water samples from a network of irrigation and drainage channels in the Ebro river delta (Catalonia, NE Spain) have been analysed by chemometric and geostatistical methods. Samples were taken at fourteen locations during the main rice-growing season, from May to August 2005. Principal-component analysis enabled investigation of the spatial and temporal distribution of the main pollution patterns caused by application of pesticides in the region under study. A first pesticide-contamination pattern from the Ebro river was differentiated from a second more specific pattern from the water-drainage channels of the delta, collected from the rice fields. The seasonal peak in this more specific rice pesticide source was observed in July. Coupling the results from chemometric data analysis with use of geostatistical methods was shown to be a useful procedure for discovery of the most significant spatial and monthly variations of the main pesticide-contamination patterns, taking into account the particular geographical structure of the area under study.
对从埃布罗河三角洲(西班牙东北部加泰罗尼亚)灌溉与排水渠道网络采集的水样中17种农药进行定量分析所获得的数据集,已采用化学计量学和地统计学方法进行了分析。在2005年5月至8月主要水稻种植季节期间,于14个地点采集了样本。主成分分析有助于研究该研究区域内农药施用所造成的主要污染模式的空间和时间分布。源自埃布罗河的第一种农药污染模式与从稻田收集的三角洲排水渠道中更具体的第二种模式区分开来。在这种更具体的水稻农药源中,季节性峰值出现在7月。事实证明,将化学计量数据分析结果与地统计学方法结合使用,对于发现主要农药污染模式最显著的空间和月度变化是一种有用的方法,同时考虑到了研究区域的特殊地理结构。