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

文献类型：期刊论文

作者Zhang, Shiwen1; Liu, Huilin1; Luo, Ming2; Zhou, Xu2; Lei, Mei3; Huang, Yuanfang4; Zhou, Yan2; Ge, Chang1
刊名SCIENTIFIC REPORTS
出版日期2018-11-21
卷号8页码:12
ISSN号2045-2322
DOI10.1038/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.
WOS关键词MULTIFRACTAL INTERPOLATION ; ORGANIC-MATTER ; VARIABILITY ; PREDICTION ; TEXTURE ; BORDER ; ZONE ; AREA ; CU
资助项目National Key Research and Development Program of China[2016YFD0300801] ; National Natural Science Foundation of China[41471186]
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000450766300008
出版者NATURE PUBLISHING GROUP
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China
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.

入库方式： OAI收割

来源：地理科学与资源研究所

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