[HTML][HTML] 青藏高原及邻区重要成矿带矿产资源基地调查与研究进展

唐菊兴 - 岩石学报, 2019 - html.rhhz.net
西藏四大成矿带是特提斯洋漫长演化的产物, 尤其近年来一系列超量富集铜金矿床的发现和勘查
评价的成果, 使得西藏不仅成为我国最重要的资源储备和开发基地之一, 更是国家资源安全保障 …

Cretaceous–Cenozoic cooling history of the Qiangtang terrane and implications for Central Tibet formation

W Bi, Y Li, PJJ Kamp, G Xu, J Zhang, Z Han… - …, 2023 - pubs.geoscienceworld.org
Reconstructing the growth process of the Qiangtang terrane in space and time is crucial for
understanding the geological evolution of Central Tibet. However, its growth process and …

Late Mesozoic-Cenozoic multistage exhumation of the central Bangong-Nujiang suture, central Tibet

C Li, Z Zhao, H Lu, H Li - Tectonophysics, 2022 - Elsevier
The Cenozoic rise of the Tibetan Plateau has significantly altered global climate change and
the biological redistribution of Asia. However, there remain great controversies about its …

[HTML][HTML] The preservation mechanism of the Duolong ore district in northwest Tibet: Evidence from the low temperature thermochronological study

H Yang, J Tang, Y Song, Q Wang, Z Liu - Ore Geology Reviews, 2022 - Elsevier
Abstract The Early Cretaceous Duolong porphyry-epithermal copper ore district is one of the
largest copper ore districts in the central Tibetan Plateau. In order to investigate the …

Thermal History of the Naruo Porphyry Deposit in the Duolong Ore District, Western Tibet: Evidence from U‐Pb, 40Ar/39Ar and (U‐Th)/He Thermochronology

H Yang, X Fang, Y Song, B Lin, Y Li… - Acta Geologica …, 2022 - Wiley Online Library
The Naruo porphyry copper deposit containing more than 2 Mt of copper is located in the
Duolong ore district in the west of the Bangongco–Nujiang belt in central Tibet. New zircon …

Late Cretaceous-Eocene exhumation of the northern Lhasa terrane and topographic implications for the Central Tibet

G Sun, HD Sinclair, C Persano, FM Stuart, X Hu - Lithos, 2024 - Elsevier
Abstract The central Tibetan Plateau has an average altitude of∼ 5000 m; its exhumation
and chemical weathering greatly influence the global climate and ocean chemistry. The …

[HTML][HTML] 一种基于机器学习算法的岩性填图方法

冀全伟, 王文磊, 刘治博, 祝茂强, 袁长江 - 地质力学学报, 2021 - journal.geomech.ac.cn
通过野外地质调查与机器学习方法的有机融合, 提出了一种基于梯度提升决策树算法的岩性单元
填图方法. 研究以多龙矿集区为模型试验区, 选择1∶ 5 万勘查地球化学数据为基础预测数据 …