globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2014.06.013
Scopus记录号: 2-s2.0-84920686490
论文题名:
Estimate of heavy metals in soil and streams using combined geochemistry and field spectroscopy in Wan-sheng mining area, Chongqing, China
作者: Lian S; , Ji J; , De-Jun T; , Hong-Bing X; , Zhen-Fu L; , Bo G
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 34, 期:1
起始页码: 1
结束页码: 9
语种: 英语
英文关键词: Heavy metals ; SMLR ; Spectral features ; Wan-sheng district
Scopus关键词: aluminum ; chromium ; copper ; geochemistry ; heavy metal ; multiple regression ; soil pollution ; streamwater ; water pollution ; China ; Chongqing
英文摘要: Heavy metals contaminated soils and water will become a major environmental issue in the mining areas. This paper intends to use field hyper-spectra to estimate the heavy metals in the soil and water in Wan-sheng mining area in Chongqing. With analyzing the spectra of soil and water, the spectral features deriving from the spectral of the soils and water can be found to build the models between these features and the contents of Al, Cu and Cr in the soil and water by using the Stepwise Multiple Linear Regression (SMLR). The spectral features of Al are: 480 nm, 500 nm, 565 nm, 610 nm, 680 nm, 750 nm,1000 nm, 1430 nm, 1755 nm, 1887 nm, 1920 nm, 1950 nm, 2210 nm, 2260 nm; The spectral features of Cu are: 480 nm, 500 nm, 610 nm, 750 nm, 860 nm, 1300 nm, 1430 nm, 1920 nm, 2150 nm, 2260 nm; And the spectral features of Cr are: 480 nm, 500 nm, 610 nm, 715 nm, 750 nm, 860 nm, 1300 nm, 1430 nm,1755 nm, 1920 nm, 1950 nm. With these features, the best models to estimate the heavy metals in the study area were built according to the maximal R2. The R2of the models of estimating Al, Cu and Cr inthe soil and water are 0.813, 0.638, 0.604 and 0.742, 0.584, 0.513 respectively. And the gradient maps of these three types of heavy metals' concentrations can be created by using the Inverse distance weighted(IDW).The gradient maps indicate that the heavy metals in the soil have similar patterns, but in the North-west of the streams in the study area, the contents are of great differences. These results show that it is feasible to predict contaminated heavy metals in the soils and streams due to mining activities by using the rapid and cost-effective field spectroscopy. © 2014 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79521
Appears in Collections:气候变化事实与影响

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作者单位: Key Laboratory of Geoscience Spatial Information Technology, Ministry of Land and Resources of the P.R. China, Chengdu University of Technology, Chengdu, China; Chongqing Key Laboratory of Exogenic Mineralization and Mine Environment, Institute of Geology and Mineral Resources, Chongqing, China; Chongqing Research Center of State Key Laboratory of Coal Resources and Safe Mining, Chongqing, China

Recommended Citation:
Lian S,, Ji J,, De-Jun T,et al. Estimate of heavy metals in soil and streams using combined geochemistry and field spectroscopy in Wan-sheng mining area, Chongqing, China[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,34(1)
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