Vote for your favorite mineral in #MinCup25! - Kosmochlor vs. Azurite
It's a battle of green vs blue as rare but vibrant chromium-bearing kosmochlor up against the deep blue copper alteration mineral azurite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Rovey II., Charles W. (1998) Digital simulation of the scale effect in hydraulic conductivity. Hydrogeology Journal, 6 (2). 216-225 doi:10.1007/s100400050146

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleDigital simulation of the scale effect in hydraulic conductivity
JournalHydrogeology Journal
AuthorsRovey II., Charles W.Author
Year1998 (August 17)Volume6
Issue2
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s100400050146Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID7674799Long-form Identifiermindat:1:5:7674799:7
GUID0
Full ReferenceRovey II., Charles W. (1998) Digital simulation of the scale effect in hydraulic conductivity. Hydrogeology Journal, 6 (2). 216-225 doi:10.1007/s100400050146
Plain TextRovey II., Charles W. (1998) Digital simulation of the scale effect in hydraulic conductivity. Hydrogeology Journal, 6 (2). 216-225 doi:10.1007/s100400050146
In(1998, August) Hydrogeology Journal Vol. 6 (2) Springer Science and Business Media LLC

See Also

These are possibly similar items as determined by title/reference text matching only.

Niemann, William L., Rovey II, Charles W. (2009) A systematic field-based testing program of hydraulic conductivity and dispersivity over a range in scale. Hydrogeology Journal, 17 (2). 307-320 doi:10.1007/s10040-008-0365-3
Rovey, C. W. (1994) Assessing flow systems in carbonate aquifers using scale effects in hydraulic conductivity. Environmental Geology, 24 (4) 244-253 doi:10.1007/bf00767085
Schulze-Makuch, Dirk, Cherkauer, Douglas S. (1998) Variations in hydraulic conductivity with scale of measurement during aquifer tests in heterogeneous, porous carbonate rocks. Hydrogeology Journal, 6 (2). 204-215 doi:10.1007/s100400050145
Fogg, Graham E., Noyes, Charles D., Carle, Steven F. (1998) Geologically based model of heterogeneous hydraulic conductivity in an alluvial setting. Hydrogeology Journal, 6 (1). 131-143 doi:10.1007/s100400050139
Hunt, A. G. (2006) Scale-dependent hydraulic conductivity in anisotropic media from dimensional cross-over. Hydrogeology Journal, 14 (4). 499-507 doi:10.1007/s10040-005-0453-6
Scesi, Laura, Gattinoni, Paola (2007) Roughness control on hydraulic conductivity in fractured rocks. Hydrogeology Journal, 15 (2). 201-211 doi:10.1007/s10040-006-0076-6
Maliva, Robert G., Walker, Charles W. (1998) Hydrogeology of deep-well disposal of liquid wastes in southwestern Florida, USA. Hydrogeology Journal, 6 (4). 538-548 doi:10.1007/s100400050174
Zhu, Jianting (2019) Sensitivity of contaminant travel time to the combined effect of porosity and hydraulic conductivity. Hydrogeology Journal, 27 (2). 615-623 doi:10.1007/s10040-018-1881-4
Voeckler, H., Allen, D. M. (2012) Estimating regional-scale fractured bedrock hydraulic conductivity using discrete fracture network (DFN) modeling. Hydrogeology Journal, 20 (6). 1081-1100 doi:10.1007/s10040-012-0858-y
Yang, Heejun, Tawara, Yasuhiro, Shimada, Jun, Kagabu, Makoto, Okumura, Azusa (2021) Large-scale hydraulic conductivity distribution in an unconfined carbonate aquifer using the ocean tidal propagation. Hydrogeology Journal, 29 (6) 2091-2105 doi:10.1007/s10040-021-02366-4
Qian, Wuwen, Chai, Junrui, Qin, Yuan, Xu, Zengguang (2019) Simulation-optimization model for estimating hydraulic conductivity: a numerical case study of the Lu Dila hydropower station in China. Hydrogeology Journal, 27 (7). 2595-2616 doi:10.1007/s10040-019-02002-2
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 9, 2025 18:00:24
Go to top of page