Using EVT for Geological Anomaly Design and Its Application in Identifying Anomalies in Mining Areas

Mathematical Problems in Engineering

Volumn 2016, Issue , 2016, Pages

  Qin, Feilong ^a   Liu, Bingli ^a,b   Guo, Ke ^a  

^a CHENGDU UNIVERSITY OF TECHNOLOGY   (China)

^b INSTITUTE OF GEOPHYSICAL AND GEOCHEMICAL EXPLORATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

MINERAL RESOURCES; ORE DEPOSITS; PARETO PRINCIPLE; WIND EFFECTS;

ENGINEERING EXPLORATION; EXTREME VALUE THEORY; GENERALIZED PARETO DISTRIBUTION; ITS APPLICATIONS; MINING AREAS; ORE BODIES; SCALE PARAMETER; SHAPE PARAMETERS;

GEOLOGY;

EID: 84990903091     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2016/3436192     Document Type: Article

References (24)

1. A. Darehshiri, M. Panji, and A. R. Mokhtari,"Identifying geochemical anomalies associated with Cu mineralization in stream sediment samples in Gharachaman area, northwest of Iran, " Journal of African Earth Sciences, vol. 110, pp. 92-99, 2015.
2. X. Lu and P. Zhao,"Geologic anomaly analysis for space-time distribution of mineral deposits in the middle-lower Yangtze area, southeastern China, " Nonrenewable Resources, vol. 17, no. 3, pp. 187-196, 1998.
3. Z. Pengda, C. Qiuming, and X. Qinglin,"Quantitative prediction for deep mineral exploration, " Journal of China University of Geosciences, vol. 19, no. 4, pp. 309-318, 2008.
4. Q. Cheng,"Singularity theory and methods for mapping geochemical anomalies caused by buried sources and for predicting undiscovered mineral deposits in covered areas, " Journal of Geochemical Exploration, vol. 122, pp. 55-70, 2012.
5. A. P. Freedman and B. Parsons,"Geoid anomalies over two South Atlantic fracture zones, " Earth and Planetary Science Letters, vol. 100, no. 1-3, pp. 18-41, 1990.
6. P. Shen, Y. Shen, T. Liu, L. Meng, H. Dai, and Y. Yang,"Geochemical signature of porphyries in the Baogutu porphyry copper belt, western Junggar, NW China, " Gondwana Research, vol. 16, no. 2, pp. 227-242, 2009.
7. J. Zhao, S. Chen, and R. Zuo,"Identifying geochemical anomalies associated with Au-Cu mineralization using multifractal and artificial neural network models in the Ningqiang district, Shaanxi, China, " Journal of Geochemical Exploration, vol. 164, pp. 54-64, 2016.
8. P. Zhao, J. Chen, J. Chen, S. Zhang, and Y. Chen,"The 'three-component' digital prospectingmethod: a new approach for mineral resource quantitative prediction and assessment, " Natural Resources Research, vol. 14, no. 4, pp. 295-303, 2005.
9. Q. Cheng and P. Zhao,"Singularity theories and methods for characterizing mineralization processes and mapping geoanomalies for mineral deposit prediction, " Geoscience Frontiers, vol. 2, no. 1, pp. 67-79, 2011.
10. Y. Chen, P. Zhao, J. Chen, and J. Liu,"Application of the geoanomaly unit concept in quantitative delineation and assessment of gold ore targets in western Shandong uplift terrain, eastern China, " Natural Resources Research, vol. 10, no. 1, pp. 35-49, 2001.
11. D. E. Allen, A. K. Singh, and R. J. Powell,"Extreme market risk-an extreme value theory approach, " Mathematics and Computers in Simulation, vol. 94, pp. 310-328, 2011.
12. Q. Chen and X. Lv,"The extreme-value dependence between the crude oil price and Chinese stock markets, " International Review of Economics and Finance, vol. 39, pp. 121-132, 2015.
13. K. Whan, J. Zscheischler, R. Orth et al.,"Impact of soilmoisture on extreme maximum temperatures in Europe, " Weather and Climate Extremes, vol. 9, pp. 57-67, 2015.
14. D. Faranda, J. M. Freitas, P. Guiraud, and S. Vaienti,"Sampling local properties of attractors via extreme value theory, " Chaos, Solitons and Fractals, vol. 74, pp. 55-66, 2015.
15. E. Vanem,"Non-stationary extreme value models to account for trends and shifts in the extreme wave climate due to climate change, " Applied Ocean Research, vol. 52, pp. 201-211, 2015
16. D. Rivas, F. Caleyo, A. Valor, and J. M. Hallen,"Extreme value analysis applied to pitting corrosion experiments in low carbon steel: comparison of block maxima and peak over threshold approaches, " Corrosion Science, vol. 50, no. 11, pp. 3193-3204, 2008.
17. F. Ashkar and S.-E. El Adlouni,"Adjusting for small-sample non-normality of design event estimators under a generalized Pareto distribution, " Journal of Hydrology, vol. 530, pp. 384-391, 2015.
18. J. D. Castillo and I. Serra,"Likelihood inference for generalized Pareto distribution, " Computational Statistics & Data Analysis, vol. 83, pp. 116-128, 2015.
19. A. T. Ergün and J. Jun,"Time-varying higher-order conditional moments and forecasting intraday VaR and Expected Shortfall, " The Quarterly Review of Economics and Finance, vol. 50, no. 3, pp. 264-272, 2010.
20. R. Gencay and F. Selcuk,"Extreme value theory and value-atrisk: relative performance in emerging markets, " International Journal of Forecasting, vol. 20, pp. 287-303, 2004.
21. J. H. T. Kim and J. Kim,"A parametric alternative to the Hill estimator for heavy-tailed distributions, " Journal of Banking & Finance, vol. 54, pp. 60-71, 2015.
22. Z.-H. Feng, Y.-M. Wei, and K. Wang,"Estimating risk for the carbon market via extreme value theory: an empirical analysis of the EU ETS, " Applied Energy, vol. 99, pp. 97-108, 2012.
23. C.-C. Lee and C.-P. Chang,"New evidence on the convergence of per capita carbon dioxide emissions from panel seemingly unrelated regressions augmented Dickey-Fuller tests, " Energy, vol. 33, no. 9, pp. 1468-1475, 2008.
24. G. Cao and M. Zhang,"Extreme values in the Chinese and American stock markets based on detrended fluctuation analysis, " Physica A: Statistical Mechanics and its Applications, vol. 436, pp. 25-35, 2015.