Browse > Article
http://dx.doi.org/10.9708/jksci.2015.20.12.091

GIS-based Metallogenic Prognosis of Lead-Zinc Deposits in China  

Tang, Panke (China Non-ferrous Metals Resource Geological Survey)
Wang, Chunyan (China Non-ferrous Metals Resource Geological Survey)
Publication Information
Journal of the Korea Society of Computer and Information / v.20, no.12, 2015 , pp. 91-99 More about this Journal
Abstract
In this paper, we introduce the application of several currently-representative methods for mineral resources potential assessment on Geographic information system(hereinafter referred to as GIS), and combined with mineral resources potential assessment performed in China and with lead-zinc deposits taken as an example, summarized and divided minerals prediction and assessment models; on this basis, this paper presented the process of metallogenic prognosis based on MRAS platform, and made a simple analysis on existing problems.
Keywords
GIS; Mineral resources potential assessment; Lead-zinc deposits; Mineral resources prediction and assessment model; MARS; Metallogenic prognosis;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Wu Lun, Liu Yu, Wei Zhongya, et al. Geographic information system-principle, method and application [M]. Beijing: Science Press, 2001.
2 Xiao Keyan, Ding Jianhua, Liu Rui. The discussion of three-part form of non-fuel mineral resource assessment [J]. Geological Review, 2006, 52(6): 793-798.
3 Song Guoyao, Xiao Keyan, Zhang Xiaohua, Zhu Yusheng, et al. Several problems in mineral resource assessment [J]. Geology in China, 1999 (8).
4 McCamm on R B, Briskey J A. 1992. A proposed national mineral resource assessment. Non renewable Resources , 1(4):259-265
5 Singer D A. Basic concepts in three-part quantitative assessments of undiscovered mineral resources. Nonrenewable Resources, 1993. 2 (2):69-81.   DOI
6 Singer D A. 1994. The relations hip of estimated number of undiscovered deposit s t o grade and tonn age models in three-part mineral resources assessments. International Association of Mathematical Geology, Geology Annual Conference, Papers and Ext ended Abstracts :325-326.
7 Singer D A. Some suggested future directions of quantitative resource assessments. Journal of China University of Geosciences. 2001. 12(1):40-44.
8 Singer D A. Progress in integrated quantitative mineral resources assessments. Ore Geology Reviews, 2010. 10(3):1-9.
9 Singer D A , David M W. Quantitative Mineral Resource Assessments, an Integrated App roach Oxford University Press. 2010.
10 Wang Shicheng, Chen Yongliang. 1999. Integrated information mineral resources prediction indexes of large and superlarge gold deposits. Gold Geology, 5(1):1-2.
11 Wang Shicheng, Chen Yongliang, Xia Lixian. 2000. Theory and method ore forming series prognosis of comprehensive information. Beijing: Science Press.
12 Zhao Pengda, Chi Shundu, Li Zhide, et al. Theory and method of mineral exploration. Beijing: China University of Geosciences Press.
13 Zhao Pengda. 2002. "Three-Component" quantitative resource prediction and assessments: theory and practice of digital mineral prospecting. Editorial Committee of Earth Science-Journal of China University of Geosciences, 27(5):482-489.
14 Zhao Pengda, Chen Jianping, Zhang Shouting. 2003. The new development of "three components" quantitative mineral prediction. Earth Science Frontiers, 10(2):455-462.
15 Ye Tianzhu, Zhu Yusheng, Xia Qinglin, et al. 2001. Methodology of solid mineral prediction and assessment. Beijing: China University of Geosciences Press.
16 Ye Tianzhu, Xiao Keyan, Yan Guangsheng. Methodology of deposit modeling and integrated geological information for mineral resource potential assessment[J]. Earth Science Frontiers, 2007, 14(5):11-19.   DOI
17 Chen Yuchuan, Wang Denghong, Xu Zhigang, et al. 2006. Preliminary study of Chinese mineralization system. Mineral Deposits, 25(2):155-163.
18 Chen Yuchuan, editor in chief.1999a. Mineral resource prospect evaluation of main metallogenic zones. Beijing: Geological Publishing House
19 Chen Yuchuan, editor in chief.1999b. Modern theory and method of mineral resource exploration evaluation. Beijing: Earthquake Publishing House.
20 Chen Yuchuan, Pei Rongfu, Song Tianrui, et al. 1989. A study on metallogenic series of ore deposits in China. Beijing: Geological Publishing House
21 Ye Tianzhu, Xiao Keyan, Cheng Qiuming, et al. Mineral quantity Predictive Methods [M].Beijing: Geological Publishing House,2010:10-30.
22 Tu Guangchi, et al. Geochemistry of stratabound ore deposits in China (Volume One). Beijing: Science Press, 1984:354.
23 Chen Yuchuan, Wang Denghong. Classification scheme of prognosis types for important minerals [M]. Beijing: Geological Publishing House, 2010: 97-115.
24 Xu Zhigang, Chen Yuchuan, Wang Denghong, et al. Metallogenic region subdivision scheme of China [M]. Beijing: Geological Publishing House, 2008:1-10.
25 Lv Zhicheng, Dai Zixi, Rui Zongyao, et al. Metallogenic theory and prospecting method of overseas lead-zinc deposits[M]. Development and Research Center, China Geological Survey, 2004: 3-8.
26 Xiao Keyan, Zhang Xiaohua, Li Jingchao, et al. 2007. Quantitative assessment method for national important mineral resources prognosis. Earth Science Frontiers, 14(5):20-26.