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dc.contributor.authorLin, Lixiang
dc.contributor.authorXu, Yongxin
dc.date.accessioned2013-11-14T09:45:21Z
dc.date.available2013-11-14T09:45:21Z
dc.date.issued2006
dc.identifier.citationLin, L. & Xu, Y. (2006). A tensor approach to the estimation of hydraulic conductivities in Table Mountain Group aquifers of South Africa. Water SA, 32(3): 371-378en_US
dc.identifier.issn0378-4738
dc.identifier.urihttp://hdl.handle.net/10566/810
dc.description.abstractBased on the field measurements of the physical properties of fractured rocks, the anisotropic properties of hydraulic conductivity (HC) of the fractured rock aquifer can be assessed and presented using a tensor approach called hydraulic conductivity tensor. Three types of HC values, namely point value, axial value and flow direction one, are derived for their possible applications. The HC values computed from the data measured on the weathered or disturbed zones of rock outcrops tend to give the upper limit values. To simulate realistic variations of the hydraulic property in a fractured rock aquifer, two correction coefficients, i.e. the fracture roughness and combined stress conditions, are adapted to calibrate the tensor model application. The application results in the Table Mountain Group (TMG) aquifers show that the relationship between the HC value and fracture burial depths follows an exponential form with the power hyperbola.en_US
dc.language.isoenen_US
dc.publisherWater Research Commissionen_US
dc.rights© 2006 Water Research Commission. This file may be freely used provided that the source is acknowledged. No commercial distribution of this text is permitted
dc.subjectHydraulic conductivity tensoren_US
dc.subjectRoughnessen_US
dc.subjectCombined stressen_US
dc.subjectHydraulic apertureen_US
dc.subjectTable Mountain Group (TMG)en_US
dc.titleA tensor approach to the estimation of hydraulic conductivities in Table Mountain Group aquifers of South Africaen_US
dc.typeArticleen_US
dc.privacy.showsubmitterfalse
dc.status.ispeerreviewedtrue
dc.description.accreditationWeb of Scienceen_US


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