干旱区生态环境知识资源中心(Arid): Prediction of heavy metals in soils of an arid area based on multi-spectral data

Arid

DOI	10.1016/j.jenvman.2019.04.109
	Prediction of heavy metals in soils of an arid area based on multi-spectral data
	Guan, Qingyu; Zhao, Rui; Wang, Feifei; Pan, Ninghui; Yang, Liqin; Song, Na; Xu, Chuanqi; Lin, Jinkuo
通讯作者	Guan, Qingyu
来源期刊	JOURNAL OF ENVIRONMENTAL MANAGEMENT
ISSN	0301-4797
EISSN	1095-8630
出版年	2019
卷号	243 页码:137-143
英文摘要	With the rapid and extensive development of industry and agriculture, the soil environment inevitably becomes contaminated with heavy metals, thus creating adverse environmental conditions for flora and fauna. The traditional methods for combining field sampling with laboratory analysis of soil heavy metals are limited not only because they are time-consuming and expensive, but also because they are unable to obtain adequate information about the spatial distribution characteristics of heavy metals in soil over a large area. Three hundred and ninety-four soil samples (Gobi and farmland) were collected in an arid area in Jiuquan in Northwest China and analyzed for elements concentrations. Based on these measured concentrations, as well as rapid and environmentally friendly remote sensing (multi-spectral data), stepwise multiple linear regression (SMLR) and partial least-squares regression (PLS) were combined to predict concentrations and distributions of heavy metals in the soils of the study area. Furthermore, laboratory data were used to assess the accuracy of the prediction results. Obtained results suggest that the SMLR and PLS models were able to predict the metals contents in the study area. The concentrations of Cr, Ni, V and Zn could be predicted by two regression models, while those of Cu and Mn were predicted more accurately when they were attached to the SMLR model. The spatial distribution of heavy metals derived from the two models is consistent with measured values, indicating that it is reasonable to predict the concentrations of heavy metals in the soil of the study area using the multi-spectral data.
英文关键词	Soil heavy metals Multi-spectral data SMLR PLS Predict
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000471089300014
WOS关键词	REFLECTANCE SPECTROSCOPY ; AGRICULTURAL SOILS ; HEALTH-RISK ; POLLUTION ; CHINA ; CONTAMINATION ; FEASIBILITY ; BIOCHEMISTRY ; PLANTS ; RIVER
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	兰州大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216967
作者单位	Lanzhou Univ, Coll Earth & Environm Sci, Minist Educ, Key Lab Western Chinas Environm Syst, Lanzhou 730000, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Guan, Qingyu,Zhao, Rui,Wang, Feifei,et al. Prediction of heavy metals in soils of an arid area based on multi-spectral data[J]. 兰州大学,2019,243:137-143.
APA	Guan, Qingyu.,Zhao, Rui.,Wang, Feifei.,Pan, Ninghui.,Yang, Liqin.,...&Lin, Jinkuo.(2019).Prediction of heavy metals in soils of an arid area based on multi-spectral data.JOURNAL OF ENVIRONMENTAL MANAGEMENT,243,137-143.
MLA	Guan, Qingyu,et al."Prediction of heavy metals in soils of an arid area based on multi-spectral data".JOURNAL OF ENVIRONMENTAL MANAGEMENT 243(2019):137-143.