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西藏多龙矿集区铜元素遥感地球化学模型
引用本文:姚佛军,杨建民,陈红旗,张天平,李玉彬,刘朝强,耿新霞.西藏多龙矿集区铜元素遥感地球化学模型[J].岩石矿物学杂志,2015,34(5):710-720.
作者姓名:姚佛军  杨建民  陈红旗  张天平  李玉彬  刘朝强  耿新霞
作者单位:中国地质科学院 矿产资源研究所, 国土资源部成矿作用和资源评价重点实验室, 北京 100037;中国科学院 地质与地球物理研究所, 北京 100029;中国地质科学院 矿产资源研究所, 国土资源部成矿作用和资源评价重点实验室, 北京 100037;西藏自治区地质矿产勘查开发局 第五地质大队, 青海 格尔木 816000;西藏自治区地质矿产勘查开发局 第五地质大队, 青海 格尔木 816000;西藏自治区地质矿产勘查开发局 第五地质大队, 青海 格尔木 816000;西藏自治区地质矿产勘查开发局 第五地质大队, 青海 格尔木 816000;中国地质科学院 矿产资源研究所, 国土资源部成矿作用和资源评价重点实验室, 北京 100037
基金项目:中央级科研院所基本业务费项目(K1501, K1208); 国家自然科学基金资助项目(41102205)
摘    要:遥感在一定程度上可以反映地物元素含量的特征,利用遥感反演元素特征在地质工作程度低地区或者国外地质资料难以获取地区可以提供一个参数。本文根据元素含量与光谱关系,建立了波段相关斜率、波段的斜率指数、波段相关吸收深度指数、波段的相关多项式指数这4个遥感地球化学反演模型的指标,以西藏多龙矿集区为研究区,通过回归算法反演了铜元素遥感地球化学,并经过F检验证实反演可信,比较预测值与实际值吻合较好,最后把实测铜元素地球化学、蚀变遥感异常与遥感反演铜元素地球化学进行了对比,证实遥感铜元素地球化学反演结果较好,且可以作为一个独立的遥感参数。

关 键 词:地球化学  遥感  光谱  铜元素
收稿时间:2014/7/28 0:00:00
修稿时间:2015/7/7 0:00:00

A remote sensing Cu geochemical model for the Duolong ore concentration area, Tibet
YAO Fo-jun,YANG Jian-min,CHEN Hong-qi,ZHANG Tian-ping,LI Yu-bin,LIU Chao-qiang and GENG Xin-xia.A remote sensing Cu geochemical model for the Duolong ore concentration area, Tibet[J].Acta Petrologica Et Mineralogica,2015,34(5):710-720.
Authors:YAO Fo-jun  YANG Jian-min  CHEN Hong-qi  ZHANG Tian-ping  LI Yu-bin  LIU Chao-qiang and GENG Xin-xia
Institution:MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China;Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China;MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China;No. 5 Geological Party, Tibet Bureau of Geology and Mineral Exploration, Golmud 816000, China;No. 5 Geological Party, Tibet Bureau of Geology and Mineral Exploration, Golmud 816000, China;No. 5 Geological Party, Tibet Bureau of Geology and Mineral Exploration, Golmud 816000, China;No. 5 Geological Party, Tibet Bureau of Geology and Mineral Exploration, Golmud 816000, China;MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China
Abstract:The characteristics of elements content can be somewhat reflected by remote sensing. The remote sensing geochemistry can provide a parameter in many areas, especially in low geological exploration regions or in areas abroad where the acquisition of geological data are difficult. In this paper, according to the relationship between the element content and the spectra, four indicators of the remote sensing geochemical model were established, i.e., correlation slope of bands, slope index of bands, absorption depth of index of bands, and polynomial related index of bands. With the Duolong ore concentration area in Tibet as the study area, Cu element remote sensing geochemistry based on regression algorithm is in accordance with the measured Cu geochemistry, and F test confirmed the credibility of the inversion results. The remote sensing Cu geochemical results are good and can be considered to be an independent remote sensing parameter, as demonstrated by the comparison between the measured Cu element geochemistry and the remote sensing alteration anomalies.
Keywords:geochemistry  remote sensing  spectroscopy  copper
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