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首页> 外文期刊>Geochemistry: exploration, environment, analysis >Use of trans-Gaussian kriging for national soil geochemical mapping in Ireland
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Use of trans-Gaussian kriging for national soil geochemical mapping in Ireland

机译：跨高斯克里格法在爱尔兰全国土壤地球化学测绘中的应用

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摘要

Geochemical mapping requires a good understanding of geochemicalvariables and proper use of mathematical and mapping techniques. In this study, GIS mapping for the geochemical variables in Irish soils was achieved using trans- Gaussian kriging following investigation of probability features, outlier identification, optimal power transformation by the Box–Cox method and spatial structure modelling. Relatively high nugget effect values for the variogram models were observed for most variables. The assumption of spatial autocorrelation was seriously breached by two variables, available P and available K, and spatial interpolation was not performed for these. Two or even three nested theoretical models were needed to model variogram structures for most variables reflecting their variation at different spatial scales. The spatial distribution patterns for most elements illustrated the influences of underlying bedrock and soil type, while some of the heavy metals (e.g. Pb, Zn and Cu) were also affected by mining activities and urban sprawl. The available nutrients (P, K and Mg) appeared to be most affected by agricultural activities.
机译：地球化学测绘需要对地球化学变量有充分的了解，并正确使用数学和测绘技术。在这项研究中，通过对概率特征，离群值识别，Box-Cox方法的最佳幂转换以及空间结构建模进行调查，使用跨高斯克里格法对爱尔兰土壤中的地球化学变量进行了GIS映射。对于大多数变量，对变异函数模型而言，金块效应值较高。空间自相关的假设被两个变量（可用P和可用K）严重破坏，没有对它们进行空间插值。需要两个甚至三个嵌套的理论模型来对大多数变量的变异函数结构进行建模，以反映它们在不同空间尺度上的变化。大多数元素的空间分布模式说明了潜在的基岩和土壤类型的影响，而一些重金属（例如Pb，Zn和Cu）也受到采矿活动和城市扩张的影响。有效养分（磷，钾和镁）似乎受农业活动影响最大。

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