| 一种基于图层综合的矿产资源潜力制图模型 |
| |
| 引用本文： | 赵文吉,陈永良,宫辉力.一种基于图层综合的矿产资源潜力制图模型[J].地质科学,2003,38(2):267-274,262. |
| |
| 作者姓名： | 赵文吉 陈永良 宫辉力 |
| |
| 作者单位： | 1. 首都师范大学资源环境与地理信息系统北京市重点实验室, 北京100037;2. 吉林大学综合信息矿产预测研究所, 长春130026 |
| |
| 基金项目： | 国土资源部非传统矿产资源研究开放实验室基金项目 (No .2 0 0 10 1)资助。 |
| |
| 摘 要： | 提出了一种基于图层综合的矿产资源潜力自动制图模型。应用该模型生成矿产资源潜力分布图分三步完成:第一步,以每一种找矿标志的空间分布图为依据,生成相应的基本概率分配函数栅格图;第二步,统计综合基本概率分配函数栅格图;第三步,生成研究区矿产资源潜力分布图。利用新疆北部多拉纳萨依—阿舍勒地区的地质资料,比较了该模型与合成有矿可信度模型的找矿靶区圈定结果。两种模型的靶区圈定结果基本相同,证明证据理论模型是有效的和实用的。
|
| 关 键 词： | 证据理论模型 矿产资源潜力 证据加权模型 合成有矿可信度模型 基本概率分配函数 |
| 收稿时间： | 2001-11-12 |
| 修稿时间： | 2001-11-12; |
A MAP LAYER INTEGRATION MODEL FOR AUTOMATIC MAPPING OF MINERAL RESOURCE POTENTIALS |
| |
| Zhao Wenji,Chen Yongliang,Gong Huili.A MAP LAYER INTEGRATION MODEL FOR AUTOMATIC MAPPING OF MINERAL RESOURCE POTENTIALS[J].Chinese Journal of Geology,2003,38(2):267-274,262. |
| |
| Authors: | Zhao Wenji Chen Yongliang Gong Huili |
| |
| Institution: | 1. Key Laboratory of Resource Environment and Geographic Information System of Beijing, Capital Normal University, Beijing 100037;2. Research Institute of Mineral Prediction with Comprehensive Information, Jilin University, Changchun 130026 |
| |
| Abstract: | A map layer integration model for automatic mapping of mineral resource potentials, called evidence theory model, was proposed. The model statistically integrated map layers via the evidence theory used in artificial intelligence, and the degree of one locality belonging to the ore bearing sample set, measured by basic probability function, was used to express the mineral resource potential of the locality. This model could be applied to automatically generating mineral resource potential map in GISs. Drawing a mineral resource potential map with this model needed the following three step procedure. First of all, every map layer was served as the evidence of a knowledge production rule, and whether a locality of the studied area belonged to the ore bearing sample set or not was served as the corresponding hypothesis of the production rule, and the basic probability function related to the hypothesis was estimated. Secondly, the parallel rule used in the evidence theory was applied to combining all basic probability functions, so a combined basic probability function, which expressed the estimated degree of each locality belonging to the ore bearing sample set according to the corresponding map layer group, was obtained. Thirdly, as the mineral resource potential map of the studied area, the combined basic probability function map was generated. According to the geological data of the district from Duolanasayi to Ashele in northen part of the Xinjiang Uygur Autonomous Region, the author applied evidence theory model and combined ore forming belief model to mineral resource target selection. The mineral resource targets delineated by the two models corresponded to each other, which proved the evidence theory model being effective and practical. |
| |
| Keywords: | Evidence theory model Mineral resource potential Weights of evidence model Synthetic ore forming belief model Basic probability function |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《地质科学》浏览原始摘要信息 |
| 点击此处可从《地质科学》下载免费的PDF全文 |
|
