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首页> 外文期刊>African Journal of Agricultural Research >Graphical visualisation and domain partitioning of minerals in clay fraction of soils from Capricorn District, South Africa
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Graphical visualisation and domain partitioning of minerals in clay fraction of soils from Capricorn District, South Africa

机译:南非摩ri座区土壤黏土中矿物的图形化可视化和区域划分

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摘要

Modeling techniques were used to study minerals in clay fraction of soils from Capricorn District, Limpopo Province, South Africa. Minerals in the clay fraction of soils were identified by X-ray diffraction (XRD) technique and semi-quantified. The minerals were then subjected to a combination of exploratory data analysis (EDA), graphicalvisualisation?and domain-partitioning techniques in order to determine their cross-influence to one another in terms of abundances. Quartz and kaolinite were major dominant minerals in the soils; smectite, feldspar and mica were in minor to trace quantities. Consensual associations among other traces and high quantities of minerals were detected. Evidence of relationship using EDA portrayed general skewness in favour of quartz and kaolinite. Quartz remained dominant in the soils but with a consistent high probability of co-existence with kaolinite. Where there is low quartz content, kaolinite increased with the drop in quartz made up for by a combination of smectite, mica and feldspar. The nested nature of interaction also revealed indirect relationship between quartz and mica. The tree model, which yielded 100% accuracy, showed smectite as the first important mineral in identifying whether there is high, medium or low quartz content in the sols. Down the line the model relies heavily on both mica and kaolinite. Collating the minerals contents and data modeling procedures,?inter alia,?it could be inferred?that the weathering of feldspar and mica may have an impact on the mineralisation of kaolinite and smectite; which are both important minerals in several agricultural applications.
机译:建模技术被用来研究南非林波波省摩ri座地区土壤黏土中的矿物。通过X射线衍射(XRD)技术鉴定土壤的粘土级分中的矿物质并进行半定量。然后,对这些矿物进行探索性数据分析(EDA),图形化可视化和域划分技术的组合,以便确定它们在丰度方面的相互影响。石英和高岭石是土壤中的主要优势矿物。绿土,长石和云母的含量很少至痕量。发现了其他痕迹与大量矿物质之间的共识。使用EDA的关系证据表明,偏斜偏向石英和高岭石。石英在土壤中仍然占主导地位,但与高岭石共存的可能性很高。在石英含量低的地方,高岭石会随着蒙脱石,云母和长石的结合而减少的石英含量而增加。相互作用的嵌套性质还揭示了石英和云母之间的间接关系。该树模型可产生100%的准确度,它表明绿土是识别溶胶中石英含量高,中或低的第一重要矿物。线下模型非常依赖云母和高岭石。比较矿物含量和数据建模程序,尤其可以推断出长石和云母的风化可能对高岭石和蒙脱石的矿化产生影响;它们都是几种农业应用中的重要矿物质。

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