Using EVT for Geological Anomaly Design and Its Application in Identifying Anomalies in Mining Areas
作者： Feilong Qin , Bingli Liu , Ke Guo
DOI: 10.1155/2016/3436192
关键词:
摘要: A geological anomaly is the basis of mineral deposit prediction. Through study knowledge and characteristics anomalies, category extreme value theory (EVT) to which a belongs can be determined. Associating principle EVT ensuring methods shape parameter scale for generalized Pareto distribution (GPD), select threshold GPD studied. This paper designs new algorithm called model anomaly. These data on Cu Au originate from 26 exploration lines Jiguanzui Cu-Au mining area in Hubei, China. The proposed applied identify anomalies area. results show that effectively region Au. consistent with range ore bodies actual engineering exploration. Therefore, it has high indicating function respect prospecting.
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Yongqing Chen, Pengda Zhao, Jianguo Chen, Jiping Liu, Application of the geo-anomaly unit concept in quantitative delineation and assessment of gold ore targets in western Shandong uplift terrain, eastern China Natural resources research. ,vol. 10, pp. 35- 49 ,(2001) , 10.1023/A:1011581414877
Guangxi Cao, Minjia 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) , 10.1016/J.PHYSA.2015.05.024
Erik 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) , 10.1016/J.APOR.2015.06.010
Abbas Darehshiri, Maryam Panji, Ahmad Reza 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) , 10.1016/J.JAFREARSCI.2015.06.009
Jiangnan Zhao, Shouyu Chen, Renguang 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) , 10.1016/J.GEXPLO.2015.06.018
Kirien Whan, Jakob Zscheischler, Rene Orth, Mxolisi Shongwe, Mohammad Rahimi, Ernest O. Asare, Sonia I. Seneviratne, Impact of soil moisture on extreme maximum temperatures in Europe Weather and climate extremes. ,vol. 9, pp. 57- 67 ,(2015) , 10.1016/J.WACE.2015.05.001
Fahim Ashkar, Salah-Eddine 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) , 10.1016/J.JHYDROL.2015.09.071
Abhay K. Singh, David E. Allen, Powell J. Robert, Original article: Extreme market risk and extreme value theory Mathematics and Computers in Simulation. ,vol. 94, pp. 310- 328 ,(2013) , 10.1016/J.MATCOM.2012.05.010
Joseph H.T. Kim, Joocheol Kim, A parametric alternative to the Hill estimator for heavy-tailed distributions Journal of Banking & Finance. ,vol. 54, pp. 60- 71 ,(2015) , 10.1016/J.JBANKFIN.2014.12.020
Qiuming Cheng, Pengda Zhao, Singularity theories and methods for characterizing mineralization processes and mapping geo-anomalies for mineral deposit prediction Geoscience frontiers. ,vol. 2, pp. 67- 79 ,(2011) , 10.1016/J.GSF.2010.12.003