Neuro-fuzzy modelling in mining geochemistry: Identification of geochemical anomalies

Local and mine scale exploration models for anomaly recognition within known ore fields are discussed. Traditional geochemical exploration methods are based on multivariate statistical analysis, metallometry, vertical geochemical zonality and criteria of natural field geochemical associations, which suffer several shortcomings, including lack of a geostatistical generalised approach for separating anomalies from background. These shortcomings make the interpretation process time consuming and costly. Fuzzy set theory, fuzzy logic and neural network techniques seem very well suited for typical mining geochemistry applications. The results, obtained from applying the proposed technique to a real scenario, reveals significant improvements, comparing the results obtained from applying multivariate statistical analysis. Computationally, the introduced technique makes possible, without exploration drilling, the distinction between blind mineralisation and zone of dispersed ore mineralisation. The methodology developed in this research study has been verified by testing it on various real-world mining geochemical projects.     

吉林荒沟山金矿床地球化学找矿模型

以荒沟山金矿床的成矿地质特征为基础，研究了区域地球化学及异常特征，矿床地表及深部地球化学异常特征和原生异常元素分带性规律。初步总结出寻找该类型矿床的若干地球化学及异常指标，建立了地球化学找矿模型。     

“Krige”空间内插技术在地理学中的应用

称为“Krige”技术的内插稀疏观测资料的随机方法是Matheron(1970年)提出的,D.R.Krige首先将这一方法应用于找矿上,因而命名于“Krige”技术。本文首先定义和说明了空间协方差曲线,基于无偏估计和最优原理导出了“Krige”内插权重系数的代数方程组,最后给出实例说明该方法如何应用到地理学和水文学中。     

我国东部季风区不同自然带年径流特征及人类活动影响的比较研究*

本文在分析我国东部季风区不同自然带年径流与气侯因子关系的基础上,揭示了径流深随纬度和经度变化的规律,并对不同自然带中人类活动对河川径流的干预强度进行了比较,指出半干旱区是人类活动对径流影响最严重的地区,在这里应加强水资源的保护并大力推行各种节水措施。