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

doi:10.1038/s41598-018-35624-9

	Digital mapping and spatial characteristics analyses of heavy metal content in reclaimed soil of industrial and mining abandoned land
	Zhang, Shiwen 1; Liu, Huilin 1; Luo, Ming 2; Zhou, Xu 2; Lei, Mei 3; Huang, Yuanfang 4; Zhou, Yan 2; Ge, Chang 1
刊名	SCIENTIFIC REPORTS
	2018-11-21
卷号	8 页码:12
ISSN号	2045-2322
DOI	10.1038/s41598-018-35624-9
通讯作者	Huang, Yuanfang(yfhuang@cau.edu.cn) ; Zhou, Yan(zhouyan053991@163.com)
英文摘要	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 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.
资助项目	National Key Research and Development Program of China[2016YFD0300801] ; National Natural Science Foundation of China[41471186]
WOS关键词	MULTIFRACTAL INTERPOLATION ; ORGANIC-MATTER ; VARIABILITY ; PREDICTION ; TEXTURE ; BORDER ; ZONE ; AREA ; CU
WOS研究方向	Science & Technology - Other Topics
语种	英语
出版者	NATURE PUBLISHING GROUP
WOS记录号	WOS:000450766300008
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/51512]
专题	中国科学院地理科学与资源研究所
通讯作者	Huang, Yuanfang; Zhou, Yan
作者单位	1.Anhui Univ Sci & Technol, Coll Earth & Environm Sci, Huainan 232001, Peoples R China 2.Minist Land & Resources Peoples Republ China, Land Management Ctr, Beijing 100035, Peoples R China 3.Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.China Agr Univ, Coll Resources & Environm Sci, Beijing 100193, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Shiwen,Liu, Huilin,Luo, Ming,et al. Digital mapping and spatial characteristics analyses of heavy metal content in reclaimed soil of industrial and mining abandoned land[J]. SCIENTIFIC REPORTS,2018,8:12.
APA	Zhang, Shiwen.,Liu, Huilin.,Luo, Ming.,Zhou, Xu.,Lei, Mei.,...&Ge, Chang.(2018).Digital mapping and spatial characteristics analyses of heavy metal content in reclaimed soil of industrial and mining abandoned land.SCIENTIFIC REPORTS,8,12.
MLA	Zhang, Shiwen,et al."Digital mapping and spatial characteristics analyses of heavy metal content in reclaimed soil of industrial and mining abandoned land".SCIENTIFIC REPORTS 8(2018):12.