Geodynamic constraints on orebody localization in the Anqing orefield, China: Computational modeling and facilitating predictive exploration of deep deposits-Reference-Cited by-同舟云学术

Geodynamic constraints on orebody localization in the Anqing orefield, China: Computational modeling and facilitating predictive exploration of deep deposits

Published:2011-12 Issue:1 Volume:43 Page:249-263
ISSN:0169-1368
Container-title:Ore Geology Reviews
language:en
Short-container-title:Ore Geology Reviews

Author:

Liu Liangming,Wan Changlin,Zhao Chongbin,Zhao Yilai

Publisher

Elsevier BV

Subject

Economic Geology,Geochemistry and Petrology,Geology

Reference64 articles.

1. Report of General Exploration in Western Ma-An-Shan, Anqing Copper Deposit,1978

2. Report of General Exploration in Ma-Tou-Shan, Anqing Copper Deposit,1988

3. Report of General Exploration in Eastern Ma-An-Shan, Anqing Copper Deposit,1992

4. The Regional Geology of Anhui Province;Anhui Provincial Geological Bureau,1987

5. Magmatic processes in the development of porphyry-type ore systems;Candela,2005

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