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工业和矿业废弃地复垦土壤中重金属含量的数字制图与空间特征分析。

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

机构信息

College of Earth and Environmental Sciences, Anhui University of Science and Technology, Huainan, 232001, China.

Land Management Center of Ministry of Land and Resources of the People's Republic of China, Beijing, 100035, China.

出版信息

Sci Rep. 2018 Nov 21;8(1):17150. doi: 10.1038/s41598-018-35624-9.

Abstract

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 C/(C + C) 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.

摘要

工矿废弃地复垦土壤属性具有较强的空间特异性。本研究旨在筛选一种混合多重分形和克里金(命名为 Mkriging)方法,用于数字制图,并从工矿废弃地复垦土壤重金属的角度科学揭示其空间分布特征。研究结果表明,由于历史和复垦的原因,工矿废弃地复垦土壤中重金属的原始样本表现出非常大的范围和变化程度,不同重金属的 C/(C+C)值基本上都大于 50%,随机因素起主导作用。在均质度方面,五种重金属在复垦土壤中的顺序为:Cd、As、Hg、Ni 和 Cr。与普通克里金方法相比,基于 Mkriging 的元素 Cd、Hg、As、Cr 和 Ni 的均方根误差的相对改善分别为 95.28%、61.74%、78.54%、82.51%和 83.58%。复垦土壤中重金属的分形程度越高,预测精度越高。Mkriging 方法更适合工矿废弃地复垦土壤重金属的空间预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d13/6249212/cce6bd2605c6/41598_2018_35624_Fig1_HTML.jpg

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