Trace elements, U–Pb ages and Hf isotopes of zircons from Mesozoic granites in the western Nanling Range, South China: Implications for petrogenesis and W–Sn mineralization

Shu, Xu Jie; Wang, Xiao Lei; Sun, Tao; Xu, Xisheng; Dai, Meng

doi:10.1016/j.lithos.2011.09.019

Cited by 139 publications

(48 citation statements)

References 55 publications

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“…Jiang et al (2006) suggested it has an A-type affinity according to geochemical characteristics. Similar arguments have also been reached by Jiang et al (2008a) and Shu et al (2011).…”

Section: Discrimination Of Source Rockssupporting

confidence: 88%

Geochronological and geochemical constraints on the petrogenesis and geodynamic setting of the Qianlishan granitic pluton, Southeast China

et al. 2014

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The Qianlishan is a well-known granitic pluton directly related to the super large W-Sn-Mo-Bi polymetallic Shizhuyuan deposit in southeast China. The pluton is composed of three intrusive phases: the first phase of microfinegrained porphyritic biotite granite, the second phase of finegrained porphyritic biotite granite, and the third phase of medium-grained equigranular zinnwaldite granite. SIMS zircon U-Pb dating yields precise ages for three phases; they are 154.5 and 152.3 Ma, 153.4 and 152.5 Ma, 152.4 and 151.6 Ma, respectively. Overall, all three granite phases contain high SiO 2 (73.2-77.7 wt.%) and total alkalis (K 2 O+Na 2 O = 7.27-9.36 wt.%). Their aluminum saturation index values increase from 0.91-0.99 for Phase 1, through 0.92-1.01 for Phase 2, to 1.01-1.27 for Phase 3. Average (La/Yb) N ratios are 3.88, 4.12, and 1.06, respectively, in three phases. Compared with Phase 3 granite, the Phase 1 and 2 granites have less conspicuous negative Eu anomalies (Phases 1, 2 Eu/Eu* = 0.13-0.28; Phase 3 Eu/Eu* = 0.01-0.02); Phase 3 granite also shows stronger depletion in Sr, P, Zr, and Ti. Mica compositions change from Mg-and Fe-to Al, F, Li-rich, whereas plagioclase compositions evolve from andesine/oligoclase to albite from Phases 1 to 3 granites. Mineralogical features and whole-rock geochemistry indicate that Phase 3 granite experienced more intensive fractional crystallization than others. The Qianlishan granites have low ε Nd (t) values (−12.9 to −7.9). Zircon ε Hf (t) and δ 18 O values are −11.1‰ to −5.14‰ and 7.97‰ to 10.35‰, respectively. Two-stage model ages of whole-rock Nd isotopes (1.2-1.9 Ga) and zircon Hf isotopes (1.5-1.9 Ga) indicate that these granites were derived from partial melting of late Paleoproterozoic to early Mesoproterozoic crustal material. Phase 1 and 2 are fractionated I-type granites, and Phase 3 is high-degree fractionated S-type granite. High zirconium saturation temperature (~780°C) and presence of diopside indicate that these granites originated from partial melting under the relatively high temperature environment. Combined with alkaline basalts, tholeiitic basalts, and intraplate shoshonitic intrusions in time and space, the Qianlishan pluton occurs right within an intercontinental rift along the Qin-Hang deep fault zone in the middle to late Jurassic.

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“…Jiang et al (2006) suggested it has an A-type affinity according to geochemical characteristics. Similar arguments have also been reached by Jiang et al (2008a) and Shu et al (2011).…”

Section: Discrimination Of Source Rockssupporting

confidence: 88%

Geochronological and geochemical constraints on the petrogenesis and geodynamic setting of the Qianlishan granitic pluton, Southeast China

et al. 2014

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“…U-Pb zircon ages of the Laiziling, Jianfengling stocks and felsic dikes indicate that they were formed 155-150 Ma [33,43,46], which is consistent with the ages of granites in the Nanling region (160-150 Ma) [33].…”

Section: Intrusive Rockssupporting

confidence: 57%

“…The outcropping strata in the belt consists of Sinian to Cambrian low-grade metamorphic rocks, Devonian to Lower Triassic limestone intercalated with clastic rocks, and Upper Triassic to Tertiary sandstone and siltstone. The Yangshanian granites intrude extensively in southern Hunan with the largest being the Qitianling intrusion [31][32][33], and they control the formation of a number of large-scale porphyry, skarn, and vein-type W-Sn-Pb-Zn deposits (Figure 1b), e.g., the Shizhuyuan [34], Baoshan [35], Huangshaping [36][37][38], Xianghualing [39], Xintianling [35], Yaoganxiang [30], Baiyunxian, and Furong deposits [35,40].…”

Section: Geologic Settingmentioning

confidence: 99%

“…The Xianghualing orefield is located in the northern Guangxi southern Hunan A-type granite belt [28,29]. Mineralization-related granitic intrusions in southern Hunan, e.g., the Qianlishan granite in the Shizhuyuan orefield [61] and granites in the Huangshaping deposit [36], formed during 160-150 Ma in a post-orogenic extensional and thinning tectonic environment [28,33]. The magmatic rocks originated from metasomatized Neoproterozoic volcanic-sedimentary materials [29,33] mixed with lithospheric-mantle-derived magmas [28].…”

Section: Genetic Considerationsmentioning

confidence: 99%

“…Mineralization-related granitic intrusions in southern Hunan, e.g., the Qianlishan granite in the Shizhuyuan orefield [61] and granites in the Huangshaping deposit [36], formed during 160-150 Ma in a post-orogenic extensional and thinning tectonic environment [28,33]. The magmatic rocks originated from metasomatized Neoproterozoic volcanic-sedimentary materials [29,33] mixed with lithospheric-mantle-derived magmas [28]. Important magmatic-hydrothermal In-bearing deposits around the world, e.g., Mount Pleasant in Canada [7], the Wiborg batholith in Finland [10,11], and the Freiberg district in Germany [14], are specific to A-type granites.…”

Section: Genetic Considerationsmentioning

confidence: 99%

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Indium Mineralization in the Xianghualing Sn-Polymetallic Orefield in Southern Hunan, Southern China

et al. 2017

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Abstract:Although numerous W-Sn-Pb-Zn polymetallic deposits are located in southern Hunan, and In-bearing deposits are related to W-Sn-Pb-Zn polymetallic deposits, Indium mineralization in southern Hunan is poorly studied. In order to investigate the In mineralization of the Xianghualing orefield, which is a typical orefield in southern Hunan, ore bulk chemistry, microscopic observation, and electron-probe microanalysis of vein-type (type-I) and porphyry-type (type-II) Sn-Pb-Zn orebodies were studied. The In contents of the type-I orebodies varies from 0.79 to 1680 ppm (avg. 217 ppm, n = 29), and that of the type-II orebodies varies from 10 to 150 ppm (avg. 64 ppm, n = 10). Although chalcopyrite and stannite contain trace amounts of In, sphalerite is the most important In-rich mineral in the orefield. Sphalerite in type-I orebodies contains from <0.02 to 21.96 wt % In, and in type-II orebodies contains from <0.02 to 0.39 wt % In. Indium-rich chemical-zoned sphalerite contains 7 to 8 wt % In in its core and up to 21.96 wt % In in its rim. This sphalerite may be the highest In-bearing variety in Southern China. The Cd contents of the In-rich sphalerite ranges from 0.35 to 0.45 wt %, which places it in the the "Indium window" of the Cu-In-S phases. The geological and structural features of the Xianghualing orefield indicate that the In mineralization of the two types of In-bearing Sn-Pb-Zn orebodies is related to the volatile-rich, In-rich, A-type granites, and is controlled by the normal faults of magmatic-diapiric activity extensional features.

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Mineral prospectivity mapping of tungsten polymetallic deposits using machine learning algorithms and comparison of their performance in the Gannan region, China

Liu

Yonghang

2022

Preprint

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The current study aimed at assessing the capabilities of five machine learning models in term of mapping tungsten polymetallic prospectivity in the Gannan region of China. The five models include logistic regression (LR), support vector machine (SVM), random forest (RF), convolutional neural network (CNN), and light gradient boosting machine (LGBM) models. Geochemical, lithostratigraphic, and structural datasets were used to generate 16 evidential maps, which were integrated into the machine learning models. Tungsten polymetallic deposits were randomly separated into two parts: 80% for training and 20% for validating. Performances of the models were evaluated through receiver operating characteristic (ROC) and K-fold cross validation, with an emphasis on the variable influence within different machine learning methods. The results show that the models are especially sensitive to the chemical elements: Be, Bi, Pb and Cd, implying that these are closely related to tungsten polymetallic mineralization. Compared to other models, the LGBM and CNN models performed best, while the LR model was the most stable. The results also indicated that the CNN model can predict maximum known deposits within a minimum area, based on the prediction-area plot analysis of the five models, while the RF model can capture the most well-known deposits within the smallest study area. Finally, eighteen prospective areas were delineated according to the predicting results of the machine learning models, which will provide important guidance for further tungsten polymetallic exploration and associated studies.

show abstract

Trace elements, U–Pb ages and Hf isotopes of zircons from Mesozoic granites in the western Nanling Range, South China: Implications for petrogenesis and W–Sn mineralization

Cited by 139 publications

References 55 publications

Geochronological and geochemical constraints on the petrogenesis and geodynamic setting of the Qianlishan granitic pluton, Southeast China

Geochronological and geochemical constraints on the petrogenesis and geodynamic setting of the Qianlishan granitic pluton, Southeast China

Indium Mineralization in the Xianghualing Sn-Polymetallic Orefield in Southern Hunan, Southern China

Mineral prospectivity mapping of tungsten polymetallic deposits using machine learning algorithms and comparison of their performance in the Gannan region, China

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