Research on Molybdenum Polymetallic Metallogenic Prognosis in Duguan-Yunyang District, Southwest Henan Province

Abstract

Abstract:

Taking DuguanYunyang district as a case study area, according to the multidisciplinary data, using nonlinear mathematical method, the geological prospecting information of multivariate, multi-scale, multi-dimension and multi-type is extracted. AHP method is selected to integrate prospecting information. On this basis, using two different combinatorial methods of “Kriging+Natural Breaks” and C-A fractal method, molybdenum polymetallic mineralization favorable targets are calculated and delineated. The results show that the main targets of the study area delineated by these two methods are same, but C-A fractal method can identify local mineralization favorable targets and can more deeply divide the targets. Combined with degree of regional exploration and mineral geological data, the targets delineated by C-A fractal method are further divided into three grades, ie, grade Ⅰ, Ⅱ and Ⅲ. The result shows that most known deposits are located in gradeⅠ,Ⅱ further prospecting areas，and Ⅲ area is a favorable prospecting area. Furthermore, the result offers a basis for further exploration.

Key words: C-A fractal method, analytic hierarchy process, molybdenum polymetallic ore, southwest Henan Province, metallogenetic prediction

CLC Number:

P628

XIAO Qiao-Yan, WANG Gong-Wen, ZHANG Shou-Ting, YAN Chang-Hai, SONG Yao-Wu, LI Lian-Shan,. Research on Molybdenum Polymetallic Metallogenic Prognosis in Duguan-Yunyang District, Southwest Henan Province[J]. Geoscience, 2011, 25(1): 94-100.

References

[1]成秋明，陈志军， Khaled A.模糊证据权方法在镇沅(老王寨)地区金矿资源评价中的应用
[J]. 地球科学：中国地质大学学报，2007，32(2)：175-184.

[2]肖克炎，丁建华，娄德波.试论成矿系列与矿产资源评价
[J].矿床地质，2009，28(3)： 357-365.

[3]BonhamCarter G F. Geographic Information Systems for Geoscientists: Modelling with GIS
[M]. Oxford: Pergamon Press, 1994:1-111.

[4]Cheng Q. GeoData Analysis System (GeoDAS) for Mineral Exploration: Users Guide and Exercise Manual
[R]. Toronto: York University, 2000: 204.

[5]陈永清，陈建国，汪新庆, 等. 基于GIS 矿产资源综合定量评价技术
[M].北京：地质出版社，2008：242-270.

[6]Mandelbrot B B. Intermittent turbulence in selfsimilar cascades: Divergence of high moments and dimension of the carrier
[J] . Journal of Fluid Mechanics, 1974, 62: 331-358.

[7]Cheng Q, Agterberg F P, Ballantyne S B. The separation of geochemical anomalies from background by fractal methods
[J]. Journal of Geochemical Exploration, 1994, 51: 109-130.

[8]叶会寿，毛景文，李永峰，等.豫西南南泥湖矿田钼钨及铅锌银矿床地质特征及其成矿机理探讨
[J]. 现代地质，2006，20(1)：165-174.

[9]毛景文，叶会寿，王瑞廷，等. 东秦岭中生代钼铅锌银多金属矿床模型及其状况评价
[J].地质通报，2009，28(1)：72-79.

[10]关保德.河南华北地台南缘前寒武纪—早寒武世地质和成矿
[M].武汉：中国地质大学出版社，1996：242-267.

[11]吕文德，赵春和，孙卫志，等.河南栾川地区矽卡岩型铅锌矿地质特征——南泥湖钼矿外围找矿问题
[J].地质调查与研究，2005，28(1)：25-31.

[12]王长明，邓军，张寿庭，等.河南卢氏—栾川地区铅锌矿成矿多样性分析及成矿预测
[J].地质通报，2005，24(10/11)：1074-1080.

[13]吕文德，孙卫志，王喜恒，等. 河南栾川赤土店地区银铅锌成矿地质条件及找矿前景
[J].前寒武纪研究进展，2002，25(3/4): 165-169.

[14]吕文德，孙卫志. 卢氏—栾川地体铅锌矿成矿地质条件分析及找矿远景
[J].矿产与地质，2004，18(6)：507-516.

[15]赵鹏大.“三联式”资源定量预测与评价——数字找矿理论与实践探讨
[J].地球科学：中国地质大学学报，2002，27(5)：482-490.

[16]Cheng Q M. Nonlinear theory and powerlaw models for information integration and mineral resources quantitative assessments
[J]. Mathematical Geosciences, 2008, 40:503-532.

[17]王功文，陈建平.基于遥感的土地荒漠化侵蚀因子的厘定——以北京及北部邻区为例
[J]. 遥感信息，2004(3)：17-21.

[18]陈士良. C常用算法程序集
[M].北京：清华大学出版社，1999：70-73.