Saby N P A, Thioulouse J, Jolivet C C, Ratié C, Boulonne L, Bispo A, Arrouays D
INRA Orléans, InfoSol Unit, US 1106, CS 40001, Ardon, 45075, Orléans cedex 2, France.
Sci Total Environ. 2009 Oct 15;407(21):5644-52. doi: 10.1016/j.scitotenv.2009.07.002. Epub 2009 Jul 31.
Geostatistical and spatially constrained multivariate analysis methods (MULTISPATI-PCA) have been applied at the scale of France to differentiate the influence of natural background from the pollution due to human activities on the content of 8 trace elements in the topsoil. The results of MULTISPATI-PCA evidence strong spatial structures attributed to different natural and artificial processes. The first axis can be interpreted as an axis of global richness in trace elements. Axis 2 reflects geochemical anomalies in Tl and Pb. Axis 3 exhibits on one hand natural pedogeogenic anomalies and on the other hand, it shows high values attributable to anthropogenic contamination. Finally, axis 4 is driven by anthropogenic copper contamination. At the French territory scale, we show that the main factors controlling trace elements distribution in the topsoil are soil texture, variations in parent material geology and weathering, and various anthropogenic sources.
地统计和空间约束多变量分析方法（MULTISPATI-PCA）已在法国范围内应用，以区分自然背景影响与人类活动造成的污染对表层土壤中8种微量元素含量的影响。MULTISPATI-PCA的结果证明了归因于不同自然和人工过程的强烈空间结构。第一轴可解释为微量元素全球丰度轴。第二轴反映了铊和铅的地球化学异常。第三轴一方面显示自然土壤发生异常，另一方面显示归因于人为污染的高值。最后，第四轴由人为铜污染驱动。在法国领土范围内，我们表明控制表层土壤中微量元素分布的主要因素是土壤质地、母质地质和风化的变化以及各种人为来源。
