| ArcGIS在东昆仑西段铁矿资源综合信息矿产预测中的应用——以沉积变质型铁矿为例 |
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| 引用本文： | 刘艳宾,弓小平,陈斌,王哲,吴艳爽.ArcGIS在东昆仑西段铁矿资源综合信息矿产预测中的应用——以沉积变质型铁矿为例[J].地质学报,2012,86(6):1005-1019. |
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| 作者姓名： | 刘艳宾 弓小平 陈斌 王哲 吴艳爽 |
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| 作者单位： | 新疆大学;北京大学地球与空间科学学院 |
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| 基金项目： | 中国地质调查局地质调查项目（编号：1212010880202），新疆大学天山学者特聘教授陈斌配套科研启动基金共同资助 |
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| 摘 要： | 结合地质、物探、化探、遥感等多元找矿信息,通过对多元信息的发现、提取、转换和关联,并利用信息综合技术建立区域综合信息矿产预测模型,进行矿产资源定量评价,是目前矿产资源勘查领域信息找矿的重要途径之一.本文从研究区的地质背景和已知的7个沉积变质型铁矿(点)出发,结合野外验证分析,建立成矿模型与有利区提取模型,基于ArcGI...
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| 关 键 词： | 沉积变质型铁矿 ArcGIS 证据权模型 加权logistic回归模型 东昆仑西段 |
| 收稿时间： | 4/3/2011 10:39:36 AM |
| 修稿时间： | 2011/12/21 0:00:00 |
Application of ArcGIS in Prediction of Iron Ore Resources in the Western Segment of East Kunlun:A Case Study of Sedimentary Metamorphic-type Iron Deposits |
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| Liu Yanbin.Application of ArcGIS in Prediction of Iron Ore Resources in the Western Segment of East Kunlun:A Case Study of Sedimentary Metamorphic-type Iron Deposits[J].Acta Geologica Sinica,2012,86(6):1005-1019. |
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| Authors: | Liu Yanbin |
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| Institution: | Xinjiang University |
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| Abstract: | Combined with the multivariate prospecting information on geology, geophysics, geochemistry and remote sensing etc., through the multi-information discovery, extraction, transformation and association, and use the information integration technology to establish comprehensive regional information mineral prediction model for the quantitative assessment of mineral resources is one important way of information prospecting in the mineral resources exploration field. Starting from the geological background and 7 known sediment metanorphic-type iron deposits(occurrences) of the study area, this paper combined with field check analysis to establish the metallogenic model and favorable extraction model, and based on the ArcGIS platform to establish the spatial database, through the comprehensive analysis of multi-information and carrying out comprehensive assessment for each ore control factors, then obtained the main ore control factors which depends on three aspects: (1) the sedimentary strata; (2) the favorable geochemical anomalies (Fe elements); (3) the favorable geophysical anomaly (the original plane), according to the spatial relationship between the three aspects evidences layers and the known ore mine in overlay- composite analysis, based on the evidence weight model and weighted logistic regression model to make metallogenic beneficial degree evaluation, and to narrow the scope of prospecting by the remotely sensed alteration information, three sediment metanorphic-type iron forecast area were delineated, then the results show that the western segment of the East Kunlun has a good prospecting future. |
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| Keywords: | Key words: Sediment metanorphic-type iron deposits (occurrences) ArcGIS evidence weight model weighted logistic regression model the western segment of East Kunlun |
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