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首页> 外文期刊>Physics and chemistry of the earth >Characterization of individual rock magnetic components by analysis of remanence curves. 2. Fundamental properties of coercivity distributions
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Characterization of individual rock magnetic components by analysis of remanence curves. 2. Fundamental properties of coercivity distributions

机译:通过分析剩磁曲线来表征单个岩石磁性成分。 2.矫顽力分布的基本性质

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摘要

The characterization of individual magnetic components in sediments and sedimentary rocks is difficult, as these natural materials are often a complex mixture of magnetic mineral sources. The analysis of magnetization curves with model functions is the only practicable method of unmixing the magnetic components and characterizing their magnetic properties, if a priori information is not available. Unfortunately, such analyses rely on time consuming measurements and on the choice of appropriate model functions. The simplification of the unmixing problem is closely related to the number of parameters required to fully characterize a magnetic component, and the significance of these parameters in nock magnetic terms. A systematic analysis of synthetic and natural samples shows that a combination of four parameters, here called magnetic fingerprints, is sufficient for this purpose. The fingerprints of individual magnetic components isolated from a wide range of natural sediments and sedimentary rocks form well-defined groups with specific properties. These groups reflect common processes of formation, transport and dissolution of magnetic particles. A clear distinction can be made between two sorts of biogenic magnetite, atmospheric dust, urban pollution and ultrafine magnetite produced in soils and lacustrine/marine sediments.
机译:很难对沉积物和沉积岩中的单个磁性成分进行表征,因为这些天然材料通常是磁性矿物源的复杂混合物。如果无法获得先验信息,则使用模型函数分析磁化曲线是将磁性成分混合并表征其磁性的唯一可行方法。不幸的是,这样的分析依赖于耗时的测量和适当模型功能的选择。分解问题的简化与充分表征磁性成分所需的参数数量以及这些参数在Nock磁性方面的重要性密切相关。对合成样品和天然样品的系统分析表明,四个参数(这里称为磁指纹)的组合足以满足此目的。从广泛的自然沉积物和沉积岩中分离出的单个磁性成分的指纹形成了具有特定性质的明确定义的组。这些组反映了磁性颗粒形成,运输和溶解的常见过程。在两种生物成因磁铁矿,大气尘埃,城市污染和土壤和湖相/海洋沉积物中产生的超细磁铁矿之间可以有明显的区别。

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