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Digital mapping and spatial characteristics analyses of heavy metal content in reclaimed soil of industrial and mining abandoned land

机译:工矿废弃土地复垦土壤中重金属含量的数字制图及空间特征分析

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摘要

The reclaimed soil properties of industrial and mining wasteland have strong spatial specificity. The paper aimed to screen out a hybrid multifractal and kriging (Named as Mkriging) method for digital mapping and scientifically reveal the spatial distribution characteristics in view of heavy metal in reclaimed soil of industrial and mining abandoned land. The results of the study showed that for reasons of history and reclamation, the original samples of heavy metals in reclaimed soil of industrial and mining abandoned land showed a very large range and variation degree, the C0/(C0 + C1) values of different heavy metals basically were all greater than 50%, random factors played a dominant role. The five kinds of heavy metals in reclaimed soil were in the following descending order in terms of homogeneity: Cd, As, Hg, Ni and Cr. Compared with ordinary Kriging method, the relative improvement of root mean squared errors of elements Cd, Hg, As, Cr and Ni based on Mkriging were 95.28%, 61.74%, 78.54%, 82.51% and 83.58% respectively. The higher the fractal degree of heavy metals in reclaimed soil was, the higher the prediction accuracy will be. Mkriging method is more suitable for spatial prediction of heavy metals in reclaimed soil of industrial and mining abandoned land.
机译:工业和采矿荒地的复垦土壤特性具有很强的空间特异性。本文旨在筛选出一种混合的多重分形和克里格方法(称为Mkriging)来进行数字地图绘制,并根据重金属在工业和采矿废弃地的复垦土壤中的空间分布特征,科学地揭示其空间分布特征。研究结果表明,由于历史和填海的原因,工矿废弃土地开垦土壤中的重金属原始样品表现出很大的范围和变化程度,不同重金属的C0 /(C0 + C1)值金属基本上都大于50%,随机因素起主导作用。复垦土壤中的五种重金属的均一性按以下降序排列:Cd,As,Hg,Ni和Cr。与普通克里格法相比,基于Mkriging法测得的元素Cd,Hg,As,Cr和Ni的均方根误差相对改善分别为95.28%,61.74%,78.54%,82.51%和83.58%。再生土壤中重金属的分形度越高,预测精度越高。 Mkriging方法更适合于工业和采矿废弃土地复垦土壤中重金属的空间预测。

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