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Zhang W.P.,Chengdu Institute of Geology and Mineral Resources | Wang L.Q.,Chengdu Institute of Geology and Mineral Resources | Qiang B.Z.,Regional Geological Surveying Party of the Bureau and Exploration | Wang B.D.,Chengdu Institute of Geology and Mineral Resources | And 2 more authors.
Acta Petrologica Sinica | Year: 2010

The high-pressure granulite discovered in Tongka area of Bangong Co-Nujiang suture zone in Tibeten Plateau, went through at least two stage metamorphisms of high-pressure granulite phase and retrogressive-metamorphic amphibolite phase. Mineral assemblages of the high-pressure granulite phase in the peak stage were gamet-clinopyroxene-plagioclase while mineral assemblages of retrogressive-metamorphic amphibolite phase were amphibolite-plagioclase. Geological temperature-pressure indicator showed that the temperature-pressure conditions of high-pressure granulite phase were 600 ∼ 750°C, 11.0 ∼ 13. 0kb, while that of retrogressive-metamorphic amphibolite phase were 500 ∼ 600°C, 6. 0kb and so the high-pressure granulite was of clockwise retrogersive-metamorphic P-T path characteristic. Source


Liu B.,Chinese Academy of Geoscience | Liu B.,Chengdu University of Technology | Guo K.,Chengdu University of Technology | Zhang L.,Chengdu University of Technology
Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014 | Year: 2014

Principal component analysis is a kind of effective method of extracting comprehensive geochemical data feature. By constructing a new comprehensive variable to instead of the original variables, the new can effectively reflect the compositive information of original variables; it also could indicate the pargenetic assemblage and genetic relationship of exploration geochemistry. But it is based on the hypothesis premise of the normal (liner) distribution of the sample data. However, the complexity of geological systems and multiple stage mineralization stage often lead to the nonlinear distribution of multivariate geochemical data. Therefore, compared with the traditional principal component analysis, the nonlinear principal component analysis is more suitable for extracting of the multivariate geochemical data. This paper introduces the principal component analysis basing on kernel function. With the help of a "nuclear techniques", implicitly map the input space to a nonlinear characteristics space. In this space, we carry out principal component analysis of geochemical data. The algorithm is in line with the exploration geochemistry data features. Through the experimental analysis of Tibet Daewoo stream sediment data, the principal components analysis based on kernel function is compared with the conventional PCA can better complete the comprehensive exploration geochemistry data feature extraction. © 2014, Capital Publishing Company. Source


Guo K.,Chengdu University of Technology | Liu B.,Chengdu University of Technology | Liu B.,Chinese Academy of Geoscience | Wu F.,Chengdu University of Technology
Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014 | Year: 2014

Exploration geochemistry integrating anomaly characteristics is an important index of mineral prediction. Mineralizing process is complex. Because of the superposition of the primary environment and the evolution of the secondary environment, the dispersion of geochemical model presents complex features. Effective method of comprehensive abnormal extraction is especially important. In recent years, information fusion technology is a focal point of research. And it has achieved great success in signal and image processing. Information fusion technology offers a new way for comprehensive abnormal extraction. It is a processing method of multi-order, multi-aspects and multi-level for multi-sensor information, so as to get some new efficient information. Kalman filtering is one of the typical representatives. Kalman filtering is a kind of optimal estimation algorithm and it take for linear, unbiased and the minimum variance as the criterion, and the algorithm thought correspond to the comprehensive characteristics. The introduction of Kalman filter for exploration geochemistry integrating anomaly can provide a new method of exploration geochemical prospecting. © 2014, Capital Publishing Company. Source


She H.-Q.,Chinese Academy of Geoscience | Liang Y.-W.,No1 Institute Of Geology And Mineral Resources Development | Li J.-W.,Chinese Academy of Geoscience | Guan J.-D.,The Sixth Institute of Geology and Mineral Resources Development | And 6 more authors.
Jilin Daxue Xuebao (Diqiu Kexue Ban)/Journal of Jilin University (Earth Science Edition) | Year: 2011

Moerdaoga district is situated in the northern Eerguna block. There occur a lot of Precambrian intrusive and metamorphic rocks, including Fengshuishan complex, intermediate and mafic complex, macrophenocryst syenogranite, adamelite, etc. The authors collected a series of intrusive rock thought to form in Neoprotozoic period, and separated the zircons from the rocs for U-Pb dating by LA-ICP-MS method. The obtained ages suggested that the majority of rocks, which were thought to form in Neoprotozoic period, emplaced in Early Mesozoic period, except the migmatic syenogranite formed in Neoprozoic. It can be conclude that there took place intensive tectonic and magmatic activities in Moerdaoga and adjacent areas during the Early Mesozoic period. According their ages, the Early Mesozoic intrusive and metamorphic complexes in Eerguna and northern Daxinganling Mountain could be divided into such three groups as 243-246 Ma, 210-229 Ma, 200-205 Ma, and the 200-205 Ma group is the most extensive. The 243-246 Ma group is dominated by the intermediate and mafic intrusive complex, maybe related to the extension occurred in after the Late Permian orogensis of Xing'an-Mongol collision. The rocks formed from 200 Ma to 229 Ma are dominated by granite and metamorphic complexes which have such characteristics formed in continental collision setting as calc-alkaline, per aluminous, S-type granite, migmatites, biotite, muscovite and horbenlende as well as lacking associated volcanic rocks. The geology and geochemistry of the Early Mesozoic granites and metamorphic complex indicate that the middle part of Mongol-Okhotsk Ocean (Transbaikal) might be closed at the end of Middle Triassic to the beginning of Late Triassic period when the collisional orogeny might start. The peak collision might took place at the end of Triassic period (200 Ma±). The confirmation of the Early Mesozoic granite and its geodynamic setting in Eerguna and northern Daxing'anling is also important to reconsider the geological evolution of the area. Source


Liu B.-L.,Chinese Academy of Geoscience | Liu B.-L.,Chengdu University of Technology | Wang X.-Q.,Chinese Academy of Geoscience | Guo K.,Chengdu University of Technology | Zhao Y.-H.,Chengdu University of Technology
2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014 | Year: 2014

Geochemical data processing plays an important role in the process of geochemical prospecting. According to the nonlinear characteristics of the geochemical data, the wavelet adaptive multi-threshold based on generalized cross-validation (GCV) criterion was adopted towards geochemical data preprocessing and good results are also achieved by validation in practical work area. © 2014 IEEE. Source

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