Journal of China University of Geosciences最新文献_第6页

Magmatic-Hydrothermal Superlarge Metallogenic Systems—A Case Study of the Nannihu Ore Field 岩浆热液超大型成矿系统——以南泥湖矿田为例

Journal of China University of Geosciences Pub Date : 2008-08-01 DOI: 10.1016/S1002-0705(08)60072-2

Wang Changming , Cheng Qiuming , Zhang Shouting , Deng Jun , Xie Shuyun

{"title":"Magmatic-Hydrothermal Superlarge Metallogenic Systems—A Case Study of the Nannihu Ore Field","authors":"Wang Changming , Cheng Qiuming , Zhang Shouting , Deng Jun , Xie Shuyun","doi":"10.1016/S1002-0705(08)60072-2","DOIUrl":"https://doi.org/10.1016/S1002-0705(08)60072-2","url":null,"abstract":"<div><p>Located in the Qinling molybdenum metallogenic belt on the southern margin of North China craton, the Nannihu molybdenum (-tungsten) ore field, consisting of the Nannihu, Sandaozhuang, and Shangfang deposits, represents a superlarge skarn-porphyry molybdenum (-tungsten) accumulation. Outside the ore field, there are some hydrothermal lead-zinc-silver deposits found in recent years, for example, the Lengshuibeigou, Yindonggou, Yangshuwa, and Yinhegou deposits. Ore-forming fluid geochemistry indicates that these deposits belong to the same metallogenic system. The hydrothermal solutions were mainly derived from primary magmatic water in the early stage and from the mixture of the primary magmatic water and meteoric water in the later stage, with an obvious decreasing tendency in temperature, salinity and gas-liquid ratio of fluid inclusions. Sulfur and lead isotope data show that the ore-forming substances and related porphyries were mainly derived from the lower crust, and a hidden magmatic chamber is indicated by aeromagnetic anomaly and drill hole data indicate that the Nannihu granite body extends to being larger and larger with depth increasing. The large-scale mineralization was the consequence of lithospheric extension during the late stage of the tectonic regime when the main compressional stress changed from NS-trending to EW-trending.</p></div>","PeriodicalId":100762,"journal":{"name":"Journal of China University of Geosciences","volume":"19 4","pages":"Pages 391-403"},"PeriodicalIF":0.0,"publicationDate":"2008-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1002-0705(08)60072-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72286038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Geochemical Characteristics and Zonation of Primary Halos of Pulang Porphyry Copper Deposit, Northwestern Yunnan Province, Southwestern China 滇西北普朗斑岩铜矿原生晕的地球化学特征及分带性

Journal of China University of Geosciences Pub Date : 2008-08-01 DOI: 10.1016/S1002-0705(08)60070-9

Chen Yongqing, Huang Jingning, Liang Zhen

引用次数: 17

Quantitative Prediction for Deep Mineral Exploration 深部矿产勘查定量预测

Journal of China University of Geosciences Pub Date : 2008-08-01 DOI: 10.1016/S1002-0705(08)60063-1

Zhao Peng-da, Cheng Qiuming, Xia Qing-lin

引用次数: 12

Solution of multiple-point statistics to extracting information from remotely sensed imagery 遥感影像信息提取的多点统计方法

Journal of China University of Geosciences Pub Date : 2008-08-01 DOI: 10.1016/S1002-0705(08)60076-X

Ge Yong, Hexiang Bai, Q. Cheng

引用次数: 7

A Grey Fuzzy Comprehensive Model for Evaluation of Geological Structure Complexity 地质构造复杂性评价的灰色模糊综合模型

Journal of China University of Geosciences Pub Date : 2008-08-01 DOI: 10.1016/S1002-0705(08)60078-3

Zhou Yunxia, Zhou Yong-zhang, Xie Shuyun, Cao Daiyong, Qiu Xiangrong

引用次数: 3

Omnibus Weights of Evidence Method Implemented in GeoDAS GIS for Information Extraction and Integration 用于信息提取和集成的GeoDAS GIS证据综合权重方法

Journal of China University of Geosciences Pub Date : 2008-08-01 DOI: 10.1016/S1002-0705(08)60073-4

Zhang Shengyuan , Cheng Qiuming , Chen Zhijun

{"title":"Omnibus Weights of Evidence Method Implemented in GeoDAS GIS for Information Extraction and Integration","authors":"Zhang Shengyuan , Cheng Qiuming , Chen Zhijun","doi":"10.1016/S1002-0705(08)60073-4","DOIUrl":"https://doi.org/10.1016/S1002-0705(08)60073-4","url":null,"abstract":"<div><p>Weights of evidence (WofE) is an artificial intelligent method for integration of information from diverse sources for predictive purpose in supporting decision making. This method has been commonly used to predict point events by integrating point training layer and binary or ternary evidential layers (multiclass evidence less commonly used). Omnibus weights of evidence integrates fuzzy training layer and diverse evidential layers. This method provides new features in comparison with the ordinary WofE method. This new method has been implemented in a geographic information system-geophysical data analysis system and the method includes the following contents: (1) dual fuzzy weights of evidence (DFWofE), in which training layer and evidential layers can be treated as fuzzy sets. DFWofE can be used to predict not only point events but also area or line events. In this model a fuzzy training layer can be defined based on point, line, and areas using fuzzy membership function; and (2) degree-of-exploration model for WofE is implemented through building a degree of exploration map. This method can be used to assess possible spatial correlations between the degree of exploration and potential evidential layers. Importantly, it would also make it possible to estimate undiscovered resources, if the degree of exploration map is combined with other models that predict where such resources are most likely to occur. These methods and relevant systems were validated using a case study of mineral potential prediction in Gejiu mineral district, Yunnan, China.</p></div>","PeriodicalId":100762,"journal":{"name":"Journal of China University of Geosciences","volume":"19 4","pages":"Pages 404-409"},"PeriodicalIF":0.0,"publicationDate":"2008-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1002-0705(08)60073-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72286039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Identification of Geochemical Anomaly by Multifractal Analysis 多重分形分析在地球化学异常识别中的应用

Journal of China University of Geosciences Pub Date : 2008-08-01 DOI: 10.1016/S1002-0705(08)60066-7

Xie Shuyun , Cheng Qiuming , Ke Xianzhong , Bao Zhengyu , Wang Changming , Quan Haoli

{"title":"Identification of Geochemical Anomaly by Multifractal Analysis","authors":"Xie Shuyun , Cheng Qiuming , Ke Xianzhong , Bao Zhengyu , Wang Changming , Quan Haoli","doi":"10.1016/S1002-0705(08)60066-7","DOIUrl":"https://doi.org/10.1016/S1002-0705(08)60066-7","url":null,"abstract":"<div><p>The separation of anomalies from geochemical background is an important part of data analysis because lack of such identifications might have profound influence on or even distort the final analysis results. In this article, 1 672 geochemical analytical data of 11 elements, including Cu, Mo, Ag, Sn, and others, from a region within Tibet, South China, are used as one example. Together with the traditional anomaly recognition method of using the iterative mean ±2σ, local multifractality theory has been utilized to delineate the ranges of geochemical anomalies of the elements. To different degrees, on the basis of original data mapping, C-A fractal analysis and singularity exponents, Sn differs from the other 10 elements. Moreover, geochemical mapping results based on values of the multifractal asymmetry index for all elements delineate the highly anomalous area. Similar to other 10 elements, the anomalous areas of Sn delineated by the asymmetry index distribute along the main structure orientations. According to the asymmetry indexes, the 11 elements could be classified into 3 groups: (1) Ag and Au, (2) As-Sb-Cu-Pb-Zn-Mo, and (3) Sn-Bi-W. This paragenetic association of elements can be used to interpret possible origins of mineralization, which is in agreement with petrological analysis and field survey results.</p></div>","PeriodicalId":100762,"journal":{"name":"Journal of China University of Geosciences","volume":"19 4","pages":"Pages 334-342"},"PeriodicalIF":0.0,"publicationDate":"2008-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1002-0705(08)60066-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72282516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17

Random Difference of the Trace Element Distribution in Skarn and Marbles from Shizishan Orefield, Anhui Province, China 安徽狮子山矿田矽卡岩和大理岩中微量元素分布的随机差异

Journal of China University of Geosciences Pub Date : 2008-08-01 DOI: 10.1016/S1002-0705(08)60064-3

Deng Jun, Wang Qingfei, Wan Li, Yang Liqiang, Zhou Lei, Zhao Jie

引用次数: 27

Extraction of Mineral Alteration Zone from ETM+ Data in Northwestern Yunnan, China 滇西北ETM+资料中矿物蚀变带的提取

Journal of China University of Geosciences Pub Date : 2008-08-01 DOI: 10.1016/S1002-0705(08)60075-8

Zhao Zhi-fang, Zhang Yujun, Cheng Qiuming, C. Jianping

引用次数: 6

Monte-Carlo Method for Coalbed Methane Resource Assessment in Key Coal Mining Areas of China 中国重点矿区煤层气资源评价的蒙特卡罗方法

Journal of China University of Geosciences Pub Date : 2008-08-01 DOI: 10.1016/S1002-0705(08)60077-1

Yang Yong-guo, Chen Yuhua, Qin Yong, Cheng Qiuming

引用次数: 5