Abstract
Hydrogeological data sets are often relatively sparse compared to the scale of investigation, resulting in degrees of uncertainty which, although constrained, may not have the desired precision for numerical modelling. The potential use of multivariate statistical methods to identify correlations between geotechnical properties of the rock mass and hydraulic conductivity is demonstrated in this paper. These correlations can be used to develop an understanding of the hydrogeological properties of the rock mass away from areas where there is groundwater investigation borehole control, reducing the degree of uncertainty in groundwater models.
Zusammenfassung
Hydrogeologische Datensätze sind im Verhältnis zum Maßstab der Untersuchung oftmals relativ lückenhaft, woraus sich ein Maß an Unsicherheit ergibt, welches, obgleich begrenzt, bisweilen nicht die erforderliche Genauigkeit für numerische Modellierungen aufweist. Im vorliegenden Paper wird die potentielle Verwendung multivariater statistische Methoden zur Identifikation von Korrelationen zwischen geotechnischen Eigenschaften des Gebirges und hydraulischer Leitfähigkeit veranschaulicht. Solche Korrelationen können dazu eingesetzt werden, einen Eindruck der hydrogeologischen Eigenschaften des Gebirges außerhalb von durch Messstellen gestützter Grundwasseruntersuchung zu erhalten, womit die Unsicherheit in Grundwassermodellen verringert wird.
Resumen
Los conjuntos de datos hidrogeológicos frecuentemente son relativamente escasos en comparación a la escala de investigación, lo que da lugar a grados de incerteza que, aunque restringidos, pueden no tener la precisión deseada para el modelado numérico. El uso potencial de métodos estadísticos multivariantes para identificar correlaciones entre las propiedades geotécnicas de la masa de roca y la conductividad hidráulica se demuestra en este documento. Estas correlaciones se pueden usar para desarrollar un mayor entendimiento de las propiedades hidrogeológicas de la masa rocosa lejos de las áreas donde existe un control de pozo de investigación de aguas subterráneas, lo que reduce el grado de incerteza en los modelos de aguas subterráneas.
抽象
相对于既定勘查尺度和规模,水文地质数经常相对稀疏,存在一定程度的不确定性,进而可能使数值模拟精度不能满足要求。本文采用多元统计方法识别岩体的岩石力学性质与渗透性能之间的相关性。该相关性可提高我们对水文地质勘查孔控制范围以外区域岩体水文地质性质的认识,降低地下水模型的不确定性。
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Acknowledgements
The authors thank Sydvaranger Drift AS for permission to use the data presented in this paper.
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Digges La Touche, G., Alexander, S., Birch, J. et al. Application of Multivariate Statistical Methods To Hydrogeological Property Parameterisation from Geotechnical and Geophysical Data. Mine Water Environ 38, 695–699 (2019). https://doi.org/10.1007/s10230-019-00629-x
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DOI: https://doi.org/10.1007/s10230-019-00629-x