| 徐仕琪.ArcGIS证据权模型在铜矿成矿预测中的应用
——以博格达-哈尔里克成矿带为例[J].地质与勘探,2013,49(5):981-989 |
| ArcGIS证据权模型在铜矿成矿预测中的应用
——以博格达-哈尔里克成矿带为例 |
| Application of the Weighted Logistic Regression Model on ArcGIS Platform to Prediction of Copper Deposits : A Case study of the Bogda-Harlik Metalloginic Belt |
| 投稿时间：2010-07-20 修订日期：2013-01-22 |
| DOI： |
| 中文关键词: 博格达-哈尔里克 铜矿 证据权模型 学生化反差S（C） 成矿预测 |
| 英文关键词: Bogda-Harlik metalloginic belt, copper deposits, weighted logistic regression model, student contrast (S(C)), metallogenic prediction |
| 基金项目:十二五科技支撑计划重点项目博格达－哈尔里克成矿带铜-金成矿条件研究及靶区评价(项目编号2011BAB06B04-2)资助与新疆中亚造山带大陆动力学与成矿预测实验室开放课题(XJDX1102-2011-04)联合资助。 |
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| 中文摘要: |
| [摘 要]本文选择博格达-哈尔里克一带作为研究区，从区域成矿地质背景入手，鉴于该地区已知成型铜矿床较少，成矿规律研究薄弱，故作者采用ArcGIS平台下的证据权模型（WofE），以数据驱动方式为主，从断裂构造、沉积岩相与建造、火山岩建造、侵入岩岩性等方面，以学生化反差S（C）作为有利因子衡量指标，对各控矿因素进行影响程度分类，利用加权逻辑斯回归模型计算成矿后验概率，根据后验概率值的大小进行成矿远景区的圈定和分级，在博格达-哈尔里克成矿带内共圈定7个成矿远景区。最后结合区域化探资料进行了验证，结果显示所圈定的铜矿成矿远景区内化探异常明显，与Cu元素异常套合较好，说明ArcGIS证据权模型能很好的为区域矿产预测提供良好的技术服务，为研究区铜矿找矿方向提供理论支持，文中所总结的基于ArcGIS平台的证据权计算方法流程也为区内铜矿矿产预测提供方法借鉴。 |
| 英文摘要: |
| Abstract: This paper takes the Bogda-Harlik metalloginic belt as an example to delineate ore perspective areas. We adopt the evidence weight model on ArcGIS platform due to the limited research on known copper deposits and metallogenic regularities. We start from the analysis on regional geological background, combined with the data-driven method, and take faults, sedimentary facies and volcanic rock formations, intrusive rock lithology as evidence factors. And we treat the student contrasts (S(C)) as measurable indicators of favorable factors to definite the most favorable factors. Then we use the weighted logistic regression model to calculate mineralization posterior probability and classify the degrees of favorable regions, and delineate seven prospecting areas in the Bogda-Harlik metalloginic belt. Regional geochemical data are utilized to validate these prospecting areas. The results show that these areas have good coincidence with the known Cu anomalies. This study can serve the exploration and deployment work of copper ore districts in this belt, and provide a reference for using the weighted logistic regression model on ArcGIS platform. |
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