|
|
|
|
|
|
| A FeO/TFe Determination Method of BIF Based on the Visible and Near-Infrared Spectrum |
| MAO Ya-chun, WANG Dong, WANG Yue, LIU Shan-jun* |
| School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China |
|
|
|
|
Abstract The FeO/TFe of iron ore is an important index to evaluate the industrial value of iron ore and classify the industrial type of ore. The conventional FeO/TFe measurements cost a lot of labor with low efficiency and long period, which are not benefit for the economical, reasonable and effective iron ore exploitation. Firstly, the visible and near-infrared spectrums of the BIF samples from Anqian mining area of Liaoning province were measured and the spectral features were analyzed. Then, three indexes of ration index (RI), difference index (DI) and normalized difference index (NDI) were put forward for analyzing the correlation relations between the indexes and FeO/TFe, and exploring the sensitive waveband. The experimental results showed that the sensitive waveband results of FeO/TFe from these three indexes are all located at 935 and 1 050 nm. All of these three correlation coefficients are larger than 0.9 at these two wavelength and the maximum value is 0.971 for the RI. Therefore, the inversion model for FeO/TFe according to RI results can be established and verified based on the laboratory report. The prediction error of FeO/TFe is 0.038 and the coefficient of determination (R2) is 0.964 5. The experimental results can provide a new economical and effective approach for determining the FeO/TFe of BIF and mine exploring via remote sensing.
|
|
Received: 2017-04-01
Accepted: 2017-09-05
|
|
|
|
Corresponding Authors:
LIU Shan-jun
E-mail: liusjdr@126.com
|
|
[1] HOU Zong-lin(候宗林). Contributions to Geology and Mineral Resources Research(地质找矿论丛), 2005, 20(4): 242.
[2] Mamdouh O, Timo F, Ahmed M, et al. Applied Surface Science, 2015, 345: 127.
[3] Mao Y C, Ma B D, Liu S J, et al. Canadian Journal of Remote Sensing, 2014, 40: 327.
[4] Hecker C, Meijde M, Meer F, et al. Earth-Science Reviews, 2010, 103: 60.
[5] Walid S, Mourtada E A, Reinhard G. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2015, 136: 1816.
[6] Magendran T, Sanjeevi S. Journal of the Geological Society of India, 2013, 82(3): 227.
[7] Smith M R, Bandfield J L, Cloutis E A, et al. Icarus, 2013, 223(2): 633.
[8] SONG Liang, LIU Shan-jun, YU Mo-li, et al(宋 亮, 刘善军, 虞茉莉, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2017, 37(2): 416.
[9] WANG Run-sheng(王润生). Journal of Geo-Information Science(地球信息科学学报), 2009, 11(3): 261.
[10] Ganesh B P, Aravindan S, Raja S. Arabian Journal of Geosciences, 2013, 6(9): 3249.
[11] Salem S M, Gammal E. The Egyptian Journal of Remote Sensing and Space Sciences, 2015, 18(2): 195.
[12] Bishop J L, Murad E. American Mineralogist, 2005, 90: 1100.
[13] Melissa D L, Janice L B, Dyar M D. American Mineralogist, 2015, 100: 66.
[14] Bishop J L, Dyar M D. Lane M D, et al. International Journal of Astrobiology, 2005, 3: 275.
[15] Cloutis E A, Hawthome F C, Mertzman S A, et al. Icarus, 2006, 184: 121. |
| [1] |
HUANG Fei1, 2, YANG Duo3, MENG Lin1, 2，LI Yong-li2, YAN Ying-can2, LIU Kai-jun2, ZHANG Bao-yun1. Influence of Doping Co Amount on the Crystal Structure Characteristics and Light Absorption Properties of Nano-Micrometer Pyrite Prepared by Thermal Sulfide Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2004-2009. |
| [2] |
WANG Dong, LIU Shan-jun*, MAO Ya-chun, WANG Yue, LI Tian-zi. A Method Based on Thermal Infrared Spectrum for Analysis of SiO2 Content in Anshan-Type Iron[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2101-2106. |
| [3] |
CAO Xiao-feng, REN Hui-ru, LI Xing-zhi, YU Ke-qiang*, SU Bao-feng*. Discrimination of Winter Jujube’s Maturity Using Hyperspectral Technique Combined with Characteristic Wavelength and Spectral Indices[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2175-2182. |
| [4] |
ZHANG Hai-wei1, 2, ZHANG Fei1, 2, 3*, ZHANG Xian-long 1, 2, LI Zhe1, 2, Abduwasit Ghulam1, 4, SONG Jia1, 2. Inversion of Vegetation Leaf Water Content Based on Spectral Index[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1540-1546. |
| [5] |
JIN Gui-xiang, LIU Hai-xuan, LIU Yu, WU Ju, XU Cheng-yang*. Study on Quantitative Assessment of Ginkgo biloba Tree Health Based on Characteristics of Leaf Spectral Reflectance[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1184-1190. |
| [6] |
QIAO Xiao-jun, JIANG Jin-bao*, LI Hui, QI Xiao-tong, YUAN De-shuai. College of Geosciences and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(02): 535-539. |
| [7] |
SHI Ping1, WU Yong-feng1*, HU Xin2, Lü Guo-hua1, REN De-chao2, SONG Ji-qing1*. Relationship Between Hyperspectral Parameters of Winter Wheat Canopy and Plant Height Components under Late Frost Injury[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(12): 3845-3850. |
| [8] |
HONG Yong-sheng1,2, ZHU Ya-xing1,2, SU Xue-ping1,2, ZHU Qiang1,2, ZHOU Yong1,2, YU Lei1,2*. Estimation of Soil Organic Matter Content Using Hyperspectral Techniques Combined with Normalized Difference Spectral Index[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(11): 3537-3542. |
| [9] |
TIAN Ming-lu1,2,3, BAN Song-tao1, CHANG Qing-rui1*, ZHANG Zhuo-ran1, WU Xu-mei1, WANG Qi1. Quantified Estimation of Anthocyanin Content in Mosaic Virus Infected Apple Leaves Based on Hyperspectral Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(10): 3187-3192. |
| [10] |
GUO Gui-juan1, ZHANG De-hui1*, LI Sheng-rong1, XIE Chao2, CUI Yue-ju2*. Study on Raman Spectrum Characteristics of Pyrite in the Xishimen Gold Deposit in Lingshou，Hebei[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(08): 2435-2439. |
| [11] |
FENG Ming-bo1,2, NIU Zheng1*, SUN Gang1. The Analysis of Vegetation Spectra Based on Multi-Band Lidar[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(06): 1809-1813. |
| [12] |
LIU Huan-jun, NING Dong-hao, KANG Ran, JIN Hui-ning, ZHANG Xin-le*, SHENG Lei . A Study on Predicting Model of Organic Matter Contend Incorporating Soil Moisture Variation [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(02): 566-570. |
| [13] |
LIU Wei-yang1, PENG Jie1*, DOU Zhong-jiang2, CHEN Bing2, WANG Jia-qiang1, XIANG Hong-ying1, DAI Xi-jun3, WANG Qiong2, NIU Jian-long1. Estimation Models for Jujube Leaf Pigment Concentration with Hyperspectrum Data at Canopy Scale[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(01): 156-161. |
| [14] |
DAI Dong-le, CAO Jian-jin* . The NIR Spectral Characteristics and Meaning of Fault Gouge from Kaxiutata Iron Deposit, Inner Mongolia[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(10): 3144-3147. |
| [15] |
LIU Huan-jun1, KANG Ran1, Susan Ustin2, ZHANG Xin-le1*, FU Qiang1, SHENG Lei1, SUN Tian-yi1 . Study on the Prediction of Cotton Yield within Field Scale with Time Series Hyperspectral Imagery[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(08): 2585-2589. |
|
|
|
|
