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矿化富集动力学模型及其在矿产预测中的应用 被引量:5

THE DYNAMICS MODEL OF METALLIZATION ENRICHMENT AND ITS APPLICATIONS IN MINERAL RESOURCE PREDICTION
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摘要 文中研究了地壳中元素迁移聚集和成矿过程的混沌动力学机制 ,揭示了地质环境中非线性过程的相互作用是造成地壳的元素含量与矿化不均匀分布的原因 ,并由此导致元素含量、矿床储量及其空间分布的分形结构。Logistic映射为研究上述行为和过程提供了一个较好的数学模型。参数 μ ,即成矿潜能 ,可将区域划分为非成矿区和成矿区。以新疆某地金矿床为例 ,用实际数据来估计模型 (4 )中的参数 μ值 ,其预测结果与用其他方法 (例如特征分析 )的预测结果大体一致。从而为预测金矿床提供另一新的途径。 The Earth is the dissipation conformation and undergoes the geological action with unevenness and nonlinearity time after time The lithology and physical property underground substance are characterized very strong unevenness and nonlinearity The natural systems including biological, metallogenetic and others are continuously fighting and compromising with circumstances to adapt oneself to the changeable environment for their living and development In geological environment the geological matters always move and thus the element will be enriched to a certain extent and meanwhile inevitably be dispersed The paper studies the chaos dynamic mechanism of the migration, enrichment and mineralization of elements in the crust It reveals that the interaction of nonlinear process in geological environment is the essential cause of uneven distribution of element content and mineralization in the crust and results in the fractal structure of element content, ore deposit reserves and its spatial distribution Logistic map is a better mathematical model which describes the behaviour of the chaos dynamics The parameter μ , i e , the mineralizing potential,can divide the region into the non mineralization region and mineralization one The value of the parameter μ in model (4) estimated from measurements in a gold deposit in Xinjiang Province by mathematical statistics method The forecast results accords generally with that predicted using other methods such as the characteristic analysis
作者 申维
出处 《地学前缘》 EI CAS CSCD 2000年第1期189-194,共6页 Earth Science Frontiers
基金 国家自然科学基金资助项目!(498730 2 7) 国土资源部矿产资源定量预测及勘查评价开放研究实验室基金 中国博士后科学基金资助项目
关键词 混沌动力学 矿化富集 动力学模型 矿产预测 chaos dynamics nonlinearity metallization enrichment
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