• Core Journal of China
  • DOAJ
  • Scopus
  • Chinese Scientific and Technical Papers and Citations (CSTPC)
  • Chinese Science Citation Database (CSCD)
Jing-jing DAI, Deng-hong WANG, Hong-zhang DAI, Li-jun LIU, Tian-yu LING. Reflectance Spectral Characteristics of Rocks and Minerals in Jiajika Lithium Deposits in West Sichuan[J]. Rock and Mineral Analysis, 2018, 37(5): 507-517. DOI: 10.15898/j.cnki.11-2131/td.201701110003
Citation: Jing-jing DAI, Deng-hong WANG, Hong-zhang DAI, Li-jun LIU, Tian-yu LING. Reflectance Spectral Characteristics of Rocks and Minerals in Jiajika Lithium Deposits in West Sichuan[J]. Rock and Mineral Analysis, 2018, 37(5): 507-517. DOI: 10.15898/j.cnki.11-2131/td.201701110003

Reflectance Spectral Characteristics of Rocks and Minerals in Jiajika Lithium Deposits in West Sichuan

More Information
  • Received Date: January 10, 2017
  • Revised Date: June 11, 2017
  • Accepted Date: June 10, 2018
  • Published Date: August 31, 2018
  • HIGHLIGHTS
    (1) Spectra of typical rocks and minerals collected in Jiajika lithium deposits were studied.
    (2) There are great differences between the spectra of rock masses and surrounding rocks.
    (3) Pegmatite containing spodumene and pegmatite without spodumene can be discriminated by their characteristic spectra.
    BACKGROUNDThe Sichuan Jiajika ore field is one of the most concentrated areas of lithium resources in China and even in the world. At present, the understanding of the spectroscopy of the Jiajika lithium deposit is still very poor.
    OBJECTIVESTo better understand the spectra of lithium ore deposits and provide the basis for hyperspectral study of lithium ore deposits by spectrum measurement of typical rocks.
    METHODSSpectra of typical rocks and minerals collected in Jiajika area were measured by Analytical Spectral Devices (ASD) FieldSpec-4 Spectroradiometer and a spectral library of this area was built. The spectral characteristics of rocks and minerals including biotite schist, grenatiteschist, grenatite cordieriteschist, hornstone, granite, pegmatite containing spodumene, pegmatite without spodumene, quartz vein, feldspar, spodumenemono, biotite, aquamarine were analyzed.
    RESULTSThe results indicate that there are differences in spectral characteristics between rock masses and surrounding rocks. The reflectance of surrounding rocks is less than 0.2, and absorption characteristics are not obvious, whereas the reflectance of rock masses is less than 0.5, and there are three absorption features at 1413 nm, 1911 nm, 2197 nm. In addition, granite, pegmatite containing spodumene, and pegmatite without spodumene can be discriminated by their unique spectra on 1413 nm and 2197 nm. The unique spectral characteristics of spodumene and aquamarine can be applied for ore exploration.
    CONCLUSIONSThe research on the surface spectroscopy of the Jiajika type lithium ore deposit carried out in this paper has important guiding significance for hyperspectral remote sensing mapping and geological prospecting.

  • 徐清俊, 叶发旺, 张川, 等.基于高光谱技术的钻孔岩心蚀变信息研究:以新疆白杨河铀矿床为例[J].东华理工大学学报(自然科学版), 2016, 39(2):184-190. doi: 10.3969/j.issn.1674-3504.2016.02.013

    Xu Q J, Ye F W, Zhang C, et al.Alteration information of drill core in Baiyanghe uranium deposit, Xinjiang using hyperspectral technology[J].Journal of East China University of Technology (Natural Science), 2016, 39(2):184-190. doi: 10.3969/j.issn.1674-3504.2016.02.013
    Dehnavi S, Maghsoudi Y, Valadanzoej M.Using spectrum differentiation and combination for target detection of minerals[J].International Journal of Applied Earth Observation and Geoinformation, 2017, 55:9-20. doi: 10.1016/j.jag.2016.10.005
    代晶晶, 王润生.常见透明矿物类波谱特征研究综述[J].地质科技情报, 2013, 32(2):8-14. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QKC20132013050700060826

    Dai J J, Wang R S.Spectral characteristics of typical transparent mineral groups[J].Geological Science and Technology Information, 2013, 32(2):8-14. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QKC20132013050700060826
    Hunt G R.Spectral signatures of particulate minerals in the visible and near-infrared[J].Geophysics, 1977, 42(3):501-513. doi: 10.1190/1.1440721
    Hunt G R.Near-infrared spectral of alteration minerals-potential for use in remote sensing[J].Geophysics, 1979, 44(12):1974-1986. doi: 10.1190/1.1440951
    Clark R N, King T V, Klejwa M, et al.High spectral resolution reflectance spectroscopy of minerals[J].Journal of Geophysical Research, 1990, 95(B8):12653-12680. doi: 10.1029/JB095iB08p12653
    Clark R N, Swayze G A, Livo K E, et al.Imaging spectroscopy:Earth and planetary remote sensing with the USGS tetracorder and expert systems[J].Journal of Geophysical Research, 2003, 108(E12):5131-5144. doi: 10.1029-2002JE001847/
    Van der Meer F.Near-infrared laboratory spectroscopy of mineral chemistry:A review[J].International Journal of Applied Earth Observation and Geoinformation, 2018, 65:71-78. doi: 10.1016/j.jag.2017.10.004
    甘甫平, 王润生.遥感岩矿信息提取基础与技术方法研究[M].北京:地质出版社, 2004:19-42.

    Gan F P, Wang R S.Principle and Technology of Remote Sensing for Rocks and Minerals Information Extraction[M].Beijing:Geological House, 2004:19-42.
    Amer R, Mezayen A E, Hasanein M.ASTER spectral analysis for alteration minerals associated with gold mineralization[J].Ore Geology Reviews, 2016, 75:239-251. doi: 10.1016/j.oregeorev.2015.12.008
    Prado E M G, Silva A M, Ducart D F, et al.Reflectance spectroradiometry applied to a semi-quantitative analysis of the mineralogy of the N4ws deposit, Carajás Mineral Province, Pará, Brazil[J].Ore Geology Reviews, 2016, 78:101-119. doi: 10.1016/j.oregeorev.2016.03.007
    Merrill J, Voisin L, Montenegro V, et al.Slurry rheology prediction based on hyperspectral characterization models for minerals quantification[J].Minerals Engineering, 2017, 109:126-134. doi: 10.1016/j.mineng.2017.03.009
    刘丽君, 付小方, 王登红, 等.甲基卡式稀有金属矿床的地质特征与成矿规律[J].矿床地质, 2015, 34(6):1187-1198. http://d.old.wanfangdata.com.cn/Periodical/kcdz201506008

    Liu L J, Fu X F, Wang D H, et al.Geological characteristics and metallogeny of Jiajika-style rare metal deposits[J].Mineral Deposits, 2015, 34(6):1187-1198. http://d.old.wanfangdata.com.cn/Periodical/kcdz201506008
    王登红, 李建康, 付小方.四川甲基卡伟晶岩型稀有金属矿床的成矿时代及其意义[J].地球化学, 2005, 34(6):541-546. doi: 10.3321/j.issn:0379-1726.2005.06.001

    Wang D H, Li J K, Fu X F.40Ar/39Ar dating for the Jiajika pegmatite-type rare metal deposit in Western Sichuan and its significance[J].Geochemical, 2005, 34(6):541-546. doi: 10.3321/j.issn:0379-1726.2005.06.001
    王登红, 付小方.四川甲基卡外围锂矿找矿取得突破[J].岩矿测试, 2013, 32(6):987. doi: 10.3969/j.issn.0254-5357.2013.06.023

    Wang D H, Fu X F.A significant lithium resources discovery in outside of Jiajika area, Sichuan[J].Rock and Mineral Analysis, 2013, 32(6):987. doi: 10.3969/j.issn.0254-5357.2013.06.023
    付小方, 袁蔺平, 王登红, 等.四川甲基卡矿田新三号稀有金属矿脉的成矿特征与勘查模型[J].矿床地质, 2015, 34(6):1172-1186. http://d.old.wanfangdata.com.cn/Periodical/kcdz201506007

    Fu X F, Yuan L P, Wang D H, et al.Mineralization characteristics and prospecting model of newly discovered X03 rare metal vein in Jiajika orefield, Sichuan[J].Mineral Deposits, 2015, 34(6):1172-1186. http://d.old.wanfangdata.com.cn/Periodical/kcdz201506007
    秦宇龙, 郝雪峰, 徐云峰, 等.四川甲基卡地区花岗岩型稀有金属矿找矿规律及标志[J].中国地质调查, 2015, 2(7):35-39. http://d.old.wanfangdata.com.cn/Periodical/zgdzdc201507007

    Qin Y L, Hao X F, Xu Y F, et al.Metallogenic regularity and prospecting criteria of granite type rare metal deposits in Jiajika area, Sichuan Province[J].Geological Survey of China, 2015, 2(7):35-39. http://d.old.wanfangdata.com.cn/Periodical/zgdzdc201507007
    赵玉祥, 赵光明, 曾毅夫.川西甲基卡式锂矿地质特征及成矿模式——以甲基卡锂矿床为例[J].四川地质学报, 2015, 35(3):391-395. doi: 10.3969/j.issn.1006-0995.2015.03.018

    Zhao Y X, Zhao G M, Zeng Y F.Geological features and genetic model for the granitic pegmatite type (Jiajika type) Li deposits in West Sichuan-As the example of the Jiajika Li deposit[J].Acta Geologica Sichuan, 2015, 35(3):391-395. doi: 10.3969/j.issn.1006-0995.2015.03.018
    肖瑞卿, 付小方, 袁蔺平, 等.土壤地球化学测量在甲基卡稀有金属找矿中的应用——以"新三号脉"为例[J].四川地质学报, 2016, 36(3):500-505. doi: 10.3969/j.issn.1006-0995.2016.03.034

    Xiao R Q, Fu X F, Yuan L P, et al.The application of soil geochemical survey to prospecting of rare metal pegmatite veins in the Jiajika ore district-As the example of the Li ore vein X03[J].Acta Geologica Sichuan, 2016, 36(3):500-505. doi: 10.3969/j.issn.1006-0995.2016.03.034
    秦宇龙, 孙劲, 张东, 等.直流电法在甲基卡稀有矿床外围地区寻找隐伏性岩脉的应用[J].桂林理工大学学报, 2016, 36(1):170-175. doi: 10.3969/j.issn.1674-9057.2016.01.023

    Qin Y L, Sun J, Zhang D, et al.Application of DC electrical method in prospecting hidden veins around the rare metal deposit of Jiajika[J].Journal of Guilin University of Technology, 2016, 36(1):170-175. doi: 10.3969/j.issn.1674-9057.2016.01.023
    潘蒙, 唐屹, 肖瑞卿, 等.甲基卡新3号超大型锂矿脉找矿方法[J].四川地质学报, 2016, 36(3):422-425. doi: 10.3969/j.issn.1006-0995.2016.03.016

    Pan M, Tang Y, Xiao R Q, et al.The discovery of the superlarge Li ore vein X03 in the Jiajika ore district[J].Acta Geologica Sichuan, 2016, 36(3):422-425. doi: 10.3969/j.issn.1006-0995.2016.03.016
    郝雪峰, 付小方, 梁斌, 等.川西甲基卡花岗岩和新三号矿脉的形成时代及意义[J].矿床地质, 2015, 34(6):1199-1208. http://d.old.wanfangdata.com.cn/Periodical/kcdz201506009

    Hao X F, Fu X F, Liang B, et al.Formation ages of granite and X03 pegmatite vein in Jiajika, Western Sichuan and their geological significance[J].Mineral Deposits, 2015, 34(6):1199-1208. http://d.old.wanfangdata.com.cn/Periodical/kcdz201506009
    王登红, 王瑞江, 付小方, 等.对能源金属矿产资源基地调查评价基本问题的探讨——以四川甲基卡大型锂矿基地为例[J].地球学报, 2016, 37(4):471-480. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dqxb201604012

    Wang D H, Wang R J, Fu X F, et al.A discussion on the major problems related to geological investigation and assessment for energy metal resources base:A case study of the Jiajika large lithium mineral resource base[J].Acta Geoscientica Sinica, 2016, 37(4):471-480. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dqxb201604012
    蒋桂英. 新疆棉花主要栽培生理指标的高光谱定量提取与应用研究[D]. 长沙: 湖南农业大学, 2004.

    Jiang G Y. The Study on Quantitative Measurement and Application for Cotton Cultivating Physiological Indices in Xinjiang by Hyperspectral Remote Sensing[D]. Changsha: Hunan Agriculture University, 2004.
    Dai J J, Wang D H, Wang R S, et al.Quantitative estimation of concentrations of dissolved rare earth elements using reflectance spectroscopy[J].Journal of Applied Remote Sensing, 2013, 7(1):073513. doi: 10.1117/1.JRS.7.073513
  • Cited by

    Periodical cited type(17)

    1. 蒋航,郭娜,张柯凡,罗海洋. 花岗伟晶岩型稀有金属矿床蚀变系统与矿物光谱-地球化学特征耦合性研究——以川西打枪沟矿区为例. 岩石学报. 2024(01): 197-214 .
    2. 褚志远,温殿刚,吕青,耿新霞,姚佛军,杨建民. 山东蒙阴地区金刚石遥感找矿模型的构建与应用. 地球科学与环境学报. 2024(02): 240-251 .
    3. 吕毓东,王世明,王代强,李磊,裴秋明. 基于全波段反射光谱的花岗岩及其主要矿物自动识别研究——以康定某隧道为例. 矿产勘查. 2024(04): 634-643 .
    4. 高齐云,周丽,易泽邦,陈正山. 颗粒度对喀斯特型铝土矿可见光-近红外光谱特征的影响. 岩矿测试. 2024(02): 234-246 . 本站查看
    5. 田祥雨,王瑞,刘思宇,孙海微,陈寿波,席斌斌. 云母对伟晶岩型关键金属矿床的成因和勘查指示:以东天山镜儿泉伟晶岩型Li-Be-Nb-Ta矿床为例. 岩石学报. 2024(09): 2944-2962 .
    6. 王猛,刘新星,李建康,周芳春,李鹏,张娟,成嘉伟,邱佳炜. 湘北仁里花岗伟晶岩型稀有金属矿床红外光谱特征研究及勘查应用. 岩石学报. 2023(07): 2101-2116 .
    7. 王珊珊,周可法,白泳,鲁雪晨,蒋果. 新疆镜儿泉伟晶岩型锂矿岩矿光谱特征分析. 地学前缘. 2023(05): 205-215 .
    8. 蒋果,周可法,王金林,白泳,孙国庆,汪玮. 基于深度学习的花岗伟晶岩型锂铍矿物识别研究. 地学前缘. 2023(05): 185-196 .
    9. 杜晓川,娄德波,徐林刚,范莹琳,张琳,李婉悦. 基于GF-2影像和随机森林算法的花岗伟晶岩提取. 自然资源遥感. 2023(04): 53-60 .
    10. 任广利,孔会磊,赵凯东,杨敏,李侃,赵晓健,金谋顺,李文渊. 新疆喀喇昆仑大红柳滩一带锂矿光谱特征及其找矿指示意义. 西北地质. 2022(04): 103-114 .
    11. 回广骥,高卿楠,宋利强,孙东询. 新疆可可托海稀有金属矿床矿物和岩石热红外光谱特征. 岩矿测试. 2021(01): 134-144 . 本站查看
    12. 张弘,高卿楠,郭东旭. 花岗伟晶岩型锂矿热红外反射光谱特征及锂元素定量反演研究. 矿物岩石. 2021(01): 25-31 .
    13. 张忠利,郭旭吉,屈有恒,张彦亮. 地物化综合找矿方法在新疆阿尔泰卡鲁安锂辉石矿床中的应用. 地质与勘探. 2021(02): 325-338 .
    14. 郭东旭,刘晓,张海兰,张志国. 基于红外光谱技术研究云南普朗斑岩铜矿的蚀变和矿化特征. 岩矿测试. 2021(05): 698-709 . 本站查看
    15. 姚佛军,徐兴旺,杨建民,吴林楠,耿新霞. 戈壁浅覆盖区花岗岩中锂铍伟晶岩的ASTER遥感识别技术——以新疆镜儿泉地区为例. 矿床地质. 2020(04): 686-696 .
    16. 代晶晶,王登红,王海宇. 我国三稀矿产资源遥感调查综述. 地质学报. 2019(06): 1270-1278 .
    17. 金谋顺,高永宝,李侃,宋忠宝,燕洲泉. 伟晶岩型稀有金属矿的遥感找矿方法——以西昆仑大红柳滩地区为例. 西北地质. 2019(04): 222-231 .

    Other cited types(10)

Catalog

    Article views (2061) PDF downloads (27) Cited by(27)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return