Evolution of mantle peridotites from the Luobusa ophiolite in the Tibetan Plateau: Sr-Nd-Hf-Os isotope constraints-Reference-Cited by-同舟云学术

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Evolution of mantle peridotites from the Luobusa ophiolite in the Tibetan Plateau: Sr-Nd-Hf-Os isotope constraints

Published:2020-06 Issue: Volume:362-363 Page:105477
ISSN:0024-4937
Container-title:Lithos
language:en
Short-container-title:Lithos

Author:

Zhang Chang,Liu Chuan-Zhou,Liu Tong,Wu Fu-Yuan

Funder

Chinese Academy of Sciences

Opening Foundation of the Laboratory for Marine Geology

Qingdao National Laboratory for Marine Science and Technology

National Natural Science Foundation of China

NSFC

Data Center of Geophysics

BNOSE

IGGCAS

Publisher

Elsevier BV

Subject

Geochemistry and Petrology,Geology

Reference80 articles.

1. Non-chondritic distribution of the highly siderophile elements in mantle sulphides;Alard;Nature,2000

2. Abundances of the elements - meteoritic and solar;Anders;Geochim. Cosmochim. Acta,1989

3. Characterization of spinel peridotites by olivine-spinel compositional relationshis: review and inerpretation;Arai;Chem. Geol.,1994

4. Re-Os fractionation in eclogites and blueschists and the implications for recycling of oceanic crust into the mantle;Becker;Earth Planet. Sci. Lett.,2000

5. Re-Os isotopic measurements at the femtomole level in natural samples;Birck;Geostand. Newslett.,1997

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1. Evidence for large-scale, long-term highly siderophile element heterogeneities in the Atlantic mantle from Leg 153 and 209 peridotites;Geochimica et Cosmochimica Acta;2024-08

2. Osmium and zinc isotope constraints on the origin of chromitites from the Yarlung-Zangbo ophiolites, Tibet, China;Mineralium Deposita;2024-02-20

3. Melting processes, cooling rates, and tectonic settings of the Neo-Tethyan mantle: the in-situ mineral chemical record;Chemical Geology;2024-01

4. The water-poor and reduced mantle beneath the Neo-Tethys Ocean: Tectonic setting of the western Yarlung-Tsangpo ophiolites;Lithos;2023-11

5. Chromite-Bearing Peridotite Identification, Based on Spectral Analysis and Machine Learning: A Case Study of the Luobusa Area, Tibet, China;Applied Sciences;2023-08-17

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