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含量—面积分形方法在确定湘西北龙山地区Hg元素异常下限中的运用 被引量:1

Application of Content-area Fractal Method in Lower Threshold Definition of Geochemistry Anomaly in Longshan,Northwest Hunan
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摘要 元素的地球化学含量异常下限值的确定方法众多,传统的统计学方法是以样品数据呈正态分布或者对数正态分布为假设前提,通过统计学参数对异常进行筛选和评价。已有研究表明,地球化学景观可能是具有低维吸引子的混沌系统,元素的地球化学背景值和异常具有各自独立的幂指数关系,是一种多重分形分布。依据元素的分形分布规律,可运用分形方法来计算元素的异常下限。本文以湖南龙山县地区Hg元素化探数据为基础,使用含量—面积分形方法确定了Hg元素异常下限值,并与传统计算方法所得的结果作了对比,证明了分形方法在计算非正态分布元素的异常下限值方面存在优势,不受元素极值数据的影响,并能有效减少人为干预,在实践工作中具有可行性。 There are many methods to seek the geochemical anomaly threshold of elements, traditional statistical methods is based on the assumption that the sample data are normal distribution or lognormal distribution, then people obtain abnormal information by statistical parameters. The results show that the geochemical landscape may be a chaotic system with a low dimensional attractor, the geochemical background and anomalies of the elements have their own independent exponential relationship, it's a multifractal distribution. According to the multifractal distribution of elements, the fractal method can be used to calculate the lower limit of them. Based on the geochemical data of Hg in Longshan County, this paper have got geochemical anomaly threshold of Hg, by fractal theory, and then contrasted with statistical methods, we found that the fractal method has more advantages in the calculation of the anomaly threshold of the non normal distribution elements, because that it can reduce Influence of the extreme data and human disturbance, it has feasibility in practice.
作者 曹顺红 孔华 Cao Shunhong Kong Hua(School of Geosciences and Info-Physics, Central South University, Changsha Hunan 410083 Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Central South University), Ministry of Education, Changsha Hunan 410083 Hunan Institute of Geological Survey, Changsha Hunan 410016)
出处 《国土资源导刊》 2017年第2期79-84,共6页 Land & Resources Herald
关键词 分形方法 异常下限 地理信息系统(GIS) fractal method geochemical anomaly threshold Geographic Information System (GIS)
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