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

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 i...

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Detalles Bibliográficos
Autores principales: Zhang, Shiwen, Liu, Huilin, Luo, Ming, Zhou, Xu, Lei, Mei, Huang, Yuanfang, Zhou, Yan, Ge, Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249212/
https://www.ncbi.nlm.nih.gov/pubmed/30464307
http://dx.doi.org/10.1038/s41598-018-35624-9
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author Zhang, Shiwen
Liu, Huilin
Luo, Ming
Zhou, Xu
Lei, Mei
Huang, Yuanfang
Zhou, Yan
Ge, Chang
author_facet Zhang, Shiwen
Liu, Huilin
Luo, Ming
Zhou, Xu
Lei, Mei
Huang, Yuanfang
Zhou, Yan
Ge, Chang
author_sort Zhang, Shiwen
collection PubMed
description 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(0)/(C(0) + C(1)) 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.
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spelling pubmed-62492122018-11-28 Digital mapping and spatial characteristics analyses of heavy metal content in reclaimed soil of industrial and mining abandoned land Zhang, Shiwen Liu, Huilin Luo, Ming Zhou, Xu Lei, Mei Huang, Yuanfang Zhou, Yan Ge, Chang Sci Rep Article 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(0)/(C(0) + C(1)) 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. Nature Publishing Group UK 2018-11-21 /pmc/articles/PMC6249212/ /pubmed/30464307 http://dx.doi.org/10.1038/s41598-018-35624-9 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhang, Shiwen
Liu, Huilin
Luo, Ming
Zhou, Xu
Lei, Mei
Huang, Yuanfang
Zhou, Yan
Ge, Chang
Digital mapping and spatial characteristics analyses of heavy metal content in reclaimed soil of industrial and mining abandoned land
title Digital mapping and spatial characteristics analyses of heavy metal content in reclaimed soil of industrial and mining abandoned land
title_full Digital mapping and spatial characteristics analyses of heavy metal content in reclaimed soil of industrial and mining abandoned land
title_fullStr Digital mapping and spatial characteristics analyses of heavy metal content in reclaimed soil of industrial and mining abandoned land
title_full_unstemmed Digital mapping and spatial characteristics analyses of heavy metal content in reclaimed soil of industrial and mining abandoned land
title_short Digital mapping and spatial characteristics analyses of heavy metal content in reclaimed soil of industrial and mining abandoned land
title_sort digital mapping and spatial characteristics analyses of heavy metal content in reclaimed soil of industrial and mining abandoned land
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249212/
https://www.ncbi.nlm.nih.gov/pubmed/30464307
http://dx.doi.org/10.1038/s41598-018-35624-9
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