Uranium ore prediction based on inversion of ETM+6-γ mineral information in Huashan granite area
GUAN Zhen1,2,3, WU Hong1,2,3, CAO Cui4, HUANG Xiaojuan5, GUO Lin1,2,3, LIU Yan1,2,3, HAO Min1,2,3
1. Guangxi Scientific Experiment Center of Mining, Metallurgy and Environment, Guilin University of Technology, Guilin 541004, China; 2. Guangxi Key Laboratory of Hidden Metallic Ore Deposits Exploration, Guilin University of Technology, Guilin 541004, China; 3. Institute of Remote Sensing Application, College of Earth Sciences, Guilin University of Technology, Guilin 541004, China; 4. Third Engineering Corporation, No. 11 Bureau Group of China Railway, Shiyan 442012, China; 5. Nanjiang Hydrogelogical and Engineering Grological Party, Bureau of Geology and Mineral Resources Exploration and Development of Chongqing, Chongqing 401121, China
Abstract:As the main element in the uranium ore deposit,the nuclides of 235U decay to release the factor heat,causing the formation of thermal infrared remote sensing anomalies around the uranium deposit genetically related to granite intrusive body. The Huashan granitic pluton in eastern Guangxi has good geological conditions for generating uranium ore deposits. In the inaccessible environment of harsh terrain,it is difficult to carry out field survey work with traditional methods. Using Landsat7 ETM+ 6 thermal infrared band data,the authors extracted the remote sensing thermal anomalies of the rock through digital image processing techniques,and established the ETM+ 6-γ spectrum anomalous inversion model to delineate the γ-spectrum abnormal field distribution of the whole granitic pluton. On such a basis,the authors screened the γ-spectroscopy anomalies according to the ore-controlling fracture structures and related geological and mineral data. At last, a number of uranium ore prospecting areas were delineated in Huashan granitic pluton. The results obtained by the authors not only provide an important clue for the further field prospecting work but also demonstrate the enormous potential of the geothermal anomalies detected through the inversion of thermal infrared remote sensing in the prediction of granite-type uranium ore deposits.
关震, 吴虹, 曹翠, 黄晓娟, 郭琳, 柳艳, 郝敏. 基于ETM+6-γ示矿信息反演的花山花岗岩铀矿预测[J]. 国土资源遥感, 2014, 26(3): 92-98.
GUAN Zhen, WU Hong, CAO Cui, HUANG Xiaojuan, GUO Lin, LIU Yan, HAO Min. Uranium ore prediction based on inversion of ETM+6-γ mineral information in Huashan granite area. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(3): 92-98.
[1] 张金带,李友良,简晓飞.我国铀资源勘查状况及发展前景[J].中国工程科学,2008,10(1):54-60. Zhang J D,Li Y L,Jian X F.Situation and development prospect of uranium resources exploration in China[J].China Engineering Science,2008,10(1):54-60. [2] 黄国龙,朱捌,吴烈勤,等.华南花岗岩型铀矿勘查现状及找矿方向[J].铀矿地质,2006,22(6):345-349. Huang G L,Zhu J,Wu L Q,et al.Exploration situation and direction of granite type uranium deposits in South China[J].Uranium Geology,2006,22(6):345-349. [3] 金小平.遥感技术应在矿产资源潜力评价中发挥突出作用[N].中国矿业报,2010-07-03(05). Jin X P.Remote sensing technology should play a prominent role in the mineral resource potential assessment[N].China Mining Report,2010-07-03(05). [4] 王俊虎,张杰林,刘德长.热红外遥感技术在铀矿勘查中的应用潜力探讨[J].世界核地质科学,2011,28(1):32-41. Wang J H,Zhang J L,Liu D C.Discussion on the application potential of thermal infrared remote sensing technology in uranium deposit exploration[J].World Nuclear Geoscience,2011,28(1):32-41. [5] 徐世光,郭远生.地热学基础[M].北京:科学出版社,2009:9-29. Xu S G,Guo Y S.Fundamental of geothermal[M].Beijing:Science Press,2009:9-29. [6] 葛碧如,滕吉文,郑新江,等.诺阿卫星探察隐伏构造、地热及水分布[M].北京:气象出版社,1998:1-2. Ge B R,Teng J W,Zheng X J,et al.NOAA satellite explore hiddenstructure,Geothermal and water distribution[M].Beijing:China Meteorological Press,2009:9-29. [7] 涂梨平.利用Landsat TM数据进行地表比辐射率和地表温度的反演[D].杭州:浙江大学资源与环境学院,2006:1-3. Tu L P.Using Landsat TM data to inverse surface emissivity and surface temperature[D].Hangzhou:College of Environmental and Resource Sciences of Zhejiang University,2006:1-23. [8] 周彦儒.热红外遥感技术在地热资源调查中的应用与潜力[J].国土资源遥感,1998,10(4):24-28. Zhou Y R.The application of thermal infrared remote sensing techniques in geothermal surveying[J].Remote Sensing for Land and Resources,1998,10(4):24-28. [9] Valor E,Caselles V.Mapping land surface emissivity from NDVI:Application to European,African,and South American areas[J].Remote Sensing of Environment,1996,57(3):167-184. [10] 吴文渊.从热红外遥感获取断裂相关信息的分析方法研究[D].杭州:浙江大学,2011:26-27. Wu W Y.Analyzing method of thermal information associated with faults based on thermal infrared remote sensing[D].Hangzhou:Zhejiang University,2011:26-27. [11] 覃志豪,李文娟,徐斌,等.陆地卫星TM6波段范围内地表比辐射率的估计[J].国土资源遥感,2004,16(3):28-32,36,41. Qin Z H,Li W J,Xu B,et al.The estimation of land surface emissivity for Landsat TM6[J].Remote Sensing for Land and Resources,2004,16(3):28-32,36,41. [12] Water L S,Salisbury J W.Spectral characterization of igneous rocks in the 8-to 12-μm region[J].Journal of Geophysical Research,1989,94(B7):9203-9213. [13] 黄晓娟.基于RS与GIS的广西花山岩体铀矿找矿预测研究[D].桂林:桂林理工大学,2011. Huang X J.Study on prospecting uranium deposits in Huashan granite body,Guangxi based on GIS and RS[D].Guilin:Guilin University of Technology,2011.