Tectonic‒Thermal Coupling Metallogenic Models of Tethys Himalaya Pb‒Zn‒Sb‒Au Belt in Post-Collisional Stage

Guo, Jia; Li, W.; Jiao, Yanjie; Liang, Shiming

doi:10.1134/s0016852119020043

Cited by 5 publications

(3 citation statements)

References 48 publications

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“…The last important extensional structures in southern Tibet are the north–south trending rifts, which were caused by the east–west extension during the period 23–3 Ma (Bian et al., 2020, 2022; Yin & Harrison, 2000; Zhang et al., 2012). These southern Tibetan rifts are also closely related to the distribution of the Gangdese metallogenic belt (GMB) (Hou et al., 2004, 2015; Tang et al., 2014; Wang et al., 2022) and Tethyan Himalayan polymetallic belt (Guo et al., 2019; Wang et al., 2023). In southern Tibet, the Dingjie‐Shenzha and Yadong‐Gulu rifts are the two largest rifts that cut through the Yarlung‐Zangbo Suture, Southern Tibet Detachment System, and North Himalayan Gneiss Domes from north to south.…”

Section: Geological Backgroundmentioning

confidence: 99%

Magnetotelluric Imaging of the Central Himalayan Crust Away From Rift Zones

Wang,

Fang,

Lei

et al. 2024

Geochem Geophys Geosyst

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Imaging the crustal structure and state of the Himalayan Orogenic Belt (HOB) is of great significance for understanding crustal deformation and its tectonic response in the collision front of the Indian‐Eurasian plates. To avoid the influence from the anomalies underneath the north‐south trending rifts, a three‐dimensional electrical resistivity model across the central HOB was obtained between the Dingjie‐Shenzha and Yadong‐Gulu rifts. No lower‐crustal conductor was found in the southern Lhasa Terrane, and the lower crust with a moderate resistivity value of approximately 100 Ωm is interpreted to be the residue of previous partial melting beneath the Gangdese porphyry copper deposits. The middle crust between the Main Himalayan Thrust and Southern Tibet Detachment System is electrically resistive to the north of the north Himalayan gneiss domes (NHGD) belt and conductive to the south. The middle crust in the northern Himalayas may have undergone partial melting and crystallization during southward migration and duplexing. There is a strong deep‐shallow coupling relationship in the central HOB, where an increase in the underthrusting angle of the Indian crust has resulted in a southward turn of the NHGD belt.

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Section: Geological Backgroundmentioning

confidence: 99%

Magnetotelluric Imaging of the Central Himalayan Crust Away From Rift Zones

Wang,

Fang,

Lei

et al. 2024

Geochem Geophys Geosyst

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“…Simplified geological map of the Tethys Himalayan, modified from Guo, Li, Jiao, and Liang (2019). The black dotted rectangle represents gravity data‐A on a scale of 1:250,000 and the results are shown in Figure 5a.…”

Section: Geological Settingmentioning

confidence: 99%

Deep structure and prospecting significance of the Cuonadong dome, Tethys Himalaya, China: Geophysical constraints

et al. 2020

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The Cuonadong dome located at the eastern part of Tethyan Himalaya consists of three lithologic‐tectonic units from the inside to the outside: the lower, middle, and upper units. The large‐scale Cuonadong Be‐W‐Sn deposits are hosted in the strong shear zone of the middle unit of the dome. In this study, multi‐scale gravity and magnetotelluric data were used to generate two‐dimensional electrical resistivity models and three‐dimensional density models for the deep structure of the Cuonadong dome. The results show that interpretation of geophysical data on the deep structure is largely consistent with the three lithologic‐tectonic units in the dome. The lower unit consists of gneiss and leucogranites that are characterized by high electrical resistivity. Schist, skarn, and marble in the middle unit exhibit moderate electrical resistivity, and Be‐W‐Sn rare metal bodies are hosted in skarn and marble. The sedimentary rocks of the upper unit are characterized by low electrical resistivity. Therefore, we proposed a geophysical model that the deep leucogranites and the host rocks of the Be‐W‐Sn ore bodies can be well identified. Their morphologies and locations play a significant role for rare metal prospecting.

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“…Digital Object Identifier 10.1109/JSTARS.2020.2989509 namely Himalayan leucogranites [2]. The crystallization and evolution of Himalayan leucogranite are closely related to the mineralization of rare metals, and has proved to have great metallogenic potential for rare metal deposits such as Be, Nb, Ta, Rb, and Cs [1], [3], [4]. Especially in the Cuonadong dome, it has been found that Be metals have reached super-large scale and the coexisting W and Ti metals have reached the scale of large deposits [5].…”

Section: Introductionmentioning

confidence: 99%

Mapping of Himalaya Leucogranites Based on ASTER and Sentinel-2A Datasets Using a Hybrid Method of Metric Learning and Random Forest

Wang¹,

Dong²

2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The widely distributed leucogranite belt in the Himalayan orogeny is expected to have excellent potential for developing rare metal mineralization. Finding a way to effectively map the spatial distribution of leucogranites would be a significant contribution to rare metal exploration. Research shows remote sensing technology has long been recognized the significance in geological works, which greatly promoted mineral exploration in a cost-effective manner, especially in the Himalayan orogenic belt with poor natural environment. However, several challenges still exist in relation to the limited spectral band and spatial resolution of remote sensing images, as well as the onerous data processing. In this context, this study sought to resolve these two issues by applying a hybrid approach that comprises image fusion, metric learning, and random forest methods. For the first challenge, multisource and multisensor remote sensing data were integrated to provide more comprehensive spatial texture characteristics and spectral information. To address the second challenge, this study used a hybrid method of metric learning and random forest to promote computing efficiency and classification accuracy. This process is illustrated through a case study of lithological mapping in Cuonadong dome, the northern part of the Himalayan orogeny belt. Seven target lithological units were effectively discriminated with an 85.75% overall accuracy. This provides an important scientific basis for further exploration for rare metal deposits in the Himalayan orogeny belt, and a way of thinking for detecting geological features under harsh natural conditions.

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Tectonic‒Thermal Coupling Metallogenic Models of Tethys Himalaya Pb‒Zn‒Sb‒Au Belt in Post-Collisional Stage

Cited by 5 publications

References 48 publications

Magnetotelluric Imaging of the Central Himalayan Crust Away From Rift Zones

Magnetotelluric Imaging of the Central Himalayan Crust Away From Rift Zones

Deep structure and prospecting significance of the Cuonadong dome, Tethys Himalaya, China: Geophysical constraints

Mapping of Himalaya Leucogranites Based on ASTER and Sentinel-2A Datasets Using a Hybrid Method of Metric Learning and Random Forest

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