World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Multi-scale Interactions of Geological Processes During Mineralization: Cascade Dynamics Model and Multifractal Simulation : Volume 18, Issue 2 (08/03/2011)

By Yao, L.

Click here to view

Book Id: WPLBN0003975031
Format Type: PDF Article :
File Size: Pages 10
Reproduction Date: 2015

Title: Multi-scale Interactions of Geological Processes During Mineralization: Cascade Dynamics Model and Multifractal Simulation : Volume 18, Issue 2 (08/03/2011)  
Author: Yao, L.
Volume: Vol. 18, Issue 2
Language: English
Subject: Science, Nonlinear, Processes
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2011
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Cheng, Q., & Yao, L. (2011). Multi-scale Interactions of Geological Processes During Mineralization: Cascade Dynamics Model and Multifractal Simulation : Volume 18, Issue 2 (08/03/2011). Retrieved from http://hawaiilibrary.net/


Description
Description: State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, China. Relations between mineralization and certain geological processes are established mostly by geologist's knowledge of field observations. However, these relations are descriptive and a quantitative model of how certain geological processes strengthen or hinder mineralization is not clear, that is to say, the mechanism of the interactions between mineralization and the geological framework has not been thoroughly studied. The dynamics behind these interactions are key in the understanding of fractal or multifractal formations caused by mineralization, among which singularities arise due to anomalous concentration of metals in narrow space. From a statistical point of view, we think that cascade dynamics play an important role in mineralization and studying them can reveal the nature of the various interactions throughout the process. We have constructed a multiplicative cascade model to simulate these dynamics. The probabilities of mineral deposit occurrences are used to represent direct results of mineralization. Multifractal simulation of probabilities of mineral potential based on our model is exemplified by a case study dealing with hydrothermal gold deposits in southern Nova Scotia, Canada. The extent of the impacts of certain geological processes on gold mineralization is related to the scale of the cascade process, especially to the maximum cascade division number nmax. Our research helps to understand how the singularity occurs during mineralization, which remains unanswered up to now, and the simulation may provide a more accurate distribution of mineral deposit occurrences that can be used to improve the results of the weights of evidence model in mapping mineral potential.

Summary
Multi-scale interactions of geological processes during mineralization: cascade dynamics model and multifractal simulation

Excerpt
Agterberg, F.: New applications of the model of de Wijs in regional geochemistry, Math. Geol., 39, 1–25, doi:10.1007/s11004-006-9063-7, 2007{a}.; Agterberg, F. and Cheng, Q.: Conditional independence test for weights-of-evidence modelling, Natural Resources Research, 11, 249–255, doi:10.1023/A:1021193827501, 2002.; Agterberg, F., Bonham-Carter, G., and Wright, D.: Statistical pattern recognition for mineral exploration, in: Computer Applications in Resource Estimation, edited by: Gall, G. and Merriam, D., Pergamon, Oxford, 1–21, 1990.; Agterberg, F., Cheng, Q., and Wright, D.: Fractal modelling of mineral deposits, in: Proceedings of the International Symposium on the Application of Computers and Operations Research in the Minerals Industries, edited by: Elbrond, J. and Tang, X., Montreal, Canada, 43–53, 1996.; Agterberg, F. P.: Multifractal simulation of geochemical map patterns, J. China. Univ. Geosci., 12, 31–39, 2001.; Agterberg, F. P.: Mixtures of multiplicative cascade models in geochemistry, Nonlin. Processes Geophys., 14, 201–209, doi:10.5194/npg-14-201-2007, 2007{b}.; Bonham-Carter, G.: Geographic Information Systems for Geoscientists: Modeling with GIS, Pergamon, Oxford, 1994.; Cheng, Q., Xu, Y., and Grunsky, E.: Multifractal power spectrum-area method for geochemical anomaly separation, Natural Resources Research, 9, 43–51, 2000.; Bonham-Carter, G., Agterberg, F., and Wright, D.: Integration of geological datasets for gold exploration in Nova Scotia, Photogramm. Eng. Rem. S., 54, 1585–1592, 1988.; Carlson, C. A.: Spatial distribution of ore deposits, Geology, 19, 111–114, 1991.; Carranza, E., Woldai, T., and Chikambwe, E.: Application of data-driven evidential belief functions to prospectivity mapping for aquamarine-bearing Pegmatites, Lundazi District, Zambia, Natural Resources Research, 14, 47–63, doi:10.1007/s11053-005-4678-9, 2005.; Carranza, E., Hale, M., and Faassen, C.: Selection of coherent deposit-type locations and their application in data-driven mineral prospectivity mapping, Ore Geol. Rev., 33, 536–558, doi:10.1016/j.oregeorev.2007.07.001, 2008.; Cassard, D., Billa, M., Lambert, A., Picot, J.-C., Husson, Y., Lasserre, J.-L., and Delor, C.: Gold predictivity mapping in French Guiana using an expert-guided data-driven approach based on a regional-scale GIS, Ore Geol. Rev., 34, 471–500, doi:10.1016/j.oregeorev.2008.06.001, 2008.; Cheng, Q.: Comparison between two types of multifractal modelling, Math. Geol., 28, 1001–1015, doi:10.1007/BF02068586, 1996.; Cheng, Q.: Multifractal distribution of eigenvalues and eigenvectors from 2d multiplicative cascade multifractal fields, Math. Geol., 37, 915–927, doi:10.1007/s11004-005-9223-1, 2005.; Cheng, Q.: Singular mineralization processes and mineral resources quantitative prediction: new theories and methods, Earth Science Frontiers, 14, 42–53, 2007a (in Chinese).; Cheng, Q.: Mapping singularities with stream sediment geochemical data for prediction of undiscovered mineral deposits in Gejiu, Yunnan Province, China, Ore Geol. Rev., 32, 314–324, doi:10.1016/j.oregeorev.2006.10.002, 2007b.; Cheng, Q.: Non-linear theory and power-law models for information integration and mineral resources quantitative assessments, Math. Geosci., 40, 503–532, doi:10.1007/s11004-008-9172-6, 200

 

Click To View

Additional Books


  • Brief Communication a Statistical Valida... (by )
  • Characterizing the Evolution of Climate ... (by )
  • Coherence and Predictability of Extreme ... (by )
  • A Barnes-hut Scheme for Simulating Fault... (by )
  • Stochastic Formalism-based Seafloor Feat... (by )
  • Path-integrated Lagrangian Measures from... (by )
  • Ion Motion in the Current Sheet with She... (by )
  • Downstream and Soaring Interfaces and Vo... (by )
  • Characteristic Scales in Landslide Model... (by )
  • Evolution of Localized Vortices in the P... (by )
  • An Experimental Study of the Atlantic Va... (by )
  • An Ising Model for Earthquake Dynamics :... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from Hawaii eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.