干旱区生态环境知识资源中心(Arid): A new method of searching for concealed Au deposits by using the spectrum of arid desert plant species

Arid

DOI	10.1007/s40333-021-0068-3
	A new method of searching for concealed Au deposits by using the spectrum of arid desert plant species
	Cui Shichao; Zhou Kefa; Zhang Guanbin; Ding Rufu; Wang Jinlin; Cheng Yinyi; Jiang Guo
通讯作者	Zhou, KF (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China. ; Zhou, KF (corresponding author), Xinjiang Key Lab Mineral Resources & Digital Geol, Urumqi 830011, Peoples R China. ; Zhou, KF (corresponding author), Chinese Acad Sci, Xinjiang Res Ctr Mineral Resources, Urumqi 830011, Peoples R China. ; Zhou, KF (corresponding author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China. ; Zhang, GB (corresponding author), Xinjiang Acad Sci & Technol Dev, Urumqi 830011, Peoples R China.
来源期刊	JOURNAL OF ARID LAND
ISSN	1674-6767
EISSN	2194-7783
出版年	2021-08
英文摘要	With the increase of exploration depth, it is more and more difficult to find Au deposits. Due to the limitation of time and cost, traditional geological exploration methods are becoming increasingly difficult to be effectively applied. Thus, new methods and ideas are urgently needed. This study assessed the feasibility and effectiveness of using hyperspectral technology to prospect for hidden Au deposits. For this purpose, 48 plant (Seriphidium terrae-albae) and soil (aeolian gravel desert soil) samples were first collected along a sampling line that traverses an Au mineralization alteration zone (Aketasi mining region in an arid region of China) and were used to obtain soil Au contents by a chemical analysis method and the reflectance spectra of plants obtained with an Analytical Spectral Device (ASD) FieldSpec3 spectrometer. Then, the corresponding relationship between the soil Au content anomaly and concealed Au deposits was investigated. Additionally, the characteristic bands were selected from plant spectra using four different methods, namely, genetic algorithm (GA), stepwise regression analysis (STE), competitive adaptive reweighted sampling (CARS), and correlation coefficient method (CC), and were then input into the partial least squares (PLS) method to construct a model for estimating the soil Au content. Finally, the quantitative relationship between the soil Au content and the 15 different plant transformation spectra was established using the PLS method. The results were compared with those of a model based on the full spectrum. The results obtained in this study indicate that the location of concealed Au deposits can be predicted based on soil geochemical anomaly information, and it is feasible and effective to use the full plant spectrum and PLS method to estimate the Au content in the soil. The cross-validated coefficient of determination (R-2) and the ratio of the performance to deviation (RPD) between the predicted value and the measured value reached the maximum of 0.8218 and 2.37, respectively, with a minimum value of 6.56 mu g/kg for the root-mean-squared error (RMSE) in the full spectrum model. However, in the process of modeling, it is crucial to select the appropriate transformation spectrum as the input parameter for the PLS method. Compared with the GA, STE, and CC methods, CARS was the superior characteristic band screening method based on the accuracy and complexity of the model. When modeling with characteristic bands, the highest accuracy, R-2 of 0.8016, RMSE of 7.07 mu g/kg, and RPD of 2.20 were obtained when 56 characteristic bands were selected from the transformed spectra (1/lnR)' (where it represents the first derivative of the reciprocal of the logarithmic spectrum) of sampled plants using the CARS method and were input into the PLS method to construct an inversion model of the Au content in the soil. Thus, characteristic bands can replace the full spectrum when constructing a model for estimating the soil Au content. Finally, this study proposes a method of using plant spectra to find concealed Au deposits, which may have promising application prospects because of its simplicity and rapidity.
英文关键词	concealed Au deposits reflectance spectroscopy soil Au content characteristic band soil geochemical prospecting competitive adaptive reweighted sampling Seriphidium terrae-albae
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000690344900001
WOS关键词	HEAVY-METALS ; REFLECTANCE SPECTROSCOPY ; SOIL CONTAMINATION ; AGRICULTURAL SOILS ; VEGETATION INDEX ; STRESS ; COPPER ; RICE ; GEOCHEMISTRY ; ALGORITHM
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	中国科学院新疆生态与地理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363785
作者单位	[Cui Shichao; Zhou Kefa; Wang Jinlin; Cheng Yinyi; Jiang Guo] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; [Cui Shichao; Zhou Kefa; Wang Jinlin; Cheng Yinyi; Jiang Guo] Xinjiang Key Lab Mineral Resources & Digital Geol, Urumqi 830011, Peoples R China; [Cui Shichao; Zhou Kefa; Wang Jinlin; Cheng Yinyi; Jiang Guo] Chinese Acad Sci, Xinjiang Res Ctr Mineral Resources, Urumqi 830011, Peoples R China; [Cui Shichao; Zhou Kefa; Wang Jinlin; Cheng Yinyi; Jiang Guo] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Zhang Guanbin] Xinjiang Acad Sci & Technol Dev, Urumqi 830011, Peoples R China; [Ding Rufu] China Nonferrous Met Resources Geol Survey, Beijing 100012, Peoples R China
推荐引用方式 GB/T 7714	Cui Shichao,Zhou Kefa,Zhang Guanbin,et al. A new method of searching for concealed Au deposits by using the spectrum of arid desert plant species[J]. 中国科学院新疆生态与地理研究所,2021.
APA	Cui Shichao.,Zhou Kefa.,Zhang Guanbin.,Ding Rufu.,Wang Jinlin.,...&Jiang Guo.(2021).A new method of searching for concealed Au deposits by using the spectrum of arid desert plant species.JOURNAL OF ARID LAND.
MLA	Cui Shichao,et al."A new method of searching for concealed Au deposits by using the spectrum of arid desert plant species".JOURNAL OF ARID LAND (2021).