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A geostatistical two-phase sampling strategy to map soil heavy metal concentrations in a former war zone

机译:地统计两阶段采样策略,用于绘制前战区的土壤重金属浓度图

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In a recent paper it was concluded that an enrichment of copper (Cu) content by 6 mg kg-1 dry mass in the soil around Ypres (Belgium) was a legacy of shelling during the First World War. This conclusion was based on a regional database of the entire province of West-Flanders (3144 km2) containing a limited number of soil samples in the war zone. Shells partly consisted of an alloy of Cu and zinc (Zn), and shrapnel balls were made out of lead (Pb). We expanded the database with a two-phase sampling design, each of 100 samples, in the war zone surrounding Ypres (640 km2) to (i) increase the detail of the inventory and (ii) expand the database to include Cu, Pb and Zn. This article focuses on the geostatistical selection of additional sampling locations. As the enrichment was spatially continuous and our aim was to map accurately over the range of values, rather than to delineate the enriched area, conventional selection criteria based on the probability of exceeding a critical threshold were not suitable. Therefore the sampling locations were optimized using a combination of selection criteria based on the kriging variance, the conditional variance and the conditional coefficient of variation obtained with sequential Gaussian simulation. A jackknife validation with 102 independent observations indicated the improvement after each phase. Additionally, the local uncertainty maps tended to show reduced values and a more homogenous pattern as additional samples were added. In an overview of the final prediction maps for Cu, Pb and Zn it is clear that those for Cu and Pb reflect the position of the main front line.
机译:在最近的一篇论文中得出的结论是,第一次世界大战期间,炮击的遗产是在伊普尔(比利时)周围的土壤中以6 mg kg-1干重增加铜(Cu)含量。该结论基于整个西弗拉芒省(3144平方公里)的区域数据库,其中包含战区中的土壤样本数量有限。弹壳部分由铜和锌(Zn)合金组成,弹片球由铅(Pb)制成。我们在伊普尔(640平方公里)周围的战区中采用两阶段抽样设计扩展了数据库,每阶段100个样本,以(i)增加清单的详细信息,并且(ii)扩展数据库以包括Cu,Pb和锌本文重点介绍其他采样位置的地统计学选择。由于富集在空间上是连续的,并且我们的目标是在值的范围内准确映射,而不是描绘富集区域,因此基于超过临界阈值的概率的常规选择标准不适合。因此,根据克里格方差,条件方差和通过顺序高斯模拟获得的条件方差系数,结合选择标准对采样位置进行了优化。有102个独立观察结果的折刀检验表明,每个阶段后都有改善。另外,当添加额外的样本时,局部不确定度图倾向于显示降低的值和更均匀的模式。在有关Cu,Pb和Zn的最终预测图的概述中,很明显,Cu和Pb的预测图反映了主前线的位置。

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