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Parameterization of a channel network model for groundwater flow in crystalline rock using geological and hydraulic test data
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering.ORCID iD: 0000-0002-0958-7181
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering. Swedish Nucl Fuel & Waste Management Co SKB, Box 3091, S-16903 Solna, Sweden..ORCID iD: 0000-0001-9251-5367
Posiva Oy Olkiluoto, Eurajoki 27160, Finland..
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Resources, Energy and Infrastructure.ORCID iD: 0000-0002-5665-747x
2023 (English)In: Engineering Geology, ISSN 0013-7952, E-ISSN 1872-6917, Vol. 317, article id 107060Article in journal (Refereed) Published
Abstract [en]

Groundwater flow in sparsely fractured crystalline rocks is highly channelized due to the existing complex hydrogeological heterogeneity in fracture networks. The impacts of multiscale hydraulic heterogeneity on channelized flow in a block of fractured rock under the unidirectional flow condition are investigated by three-dimensional (3D) discrete fracture network (DFN) modeling. A channel network (CN) model generated from DFN is used to model the channelized groundwater flow in fractured crystalline rock. An approach for parameterizing the channel conductance is proposed which uses information from the hydrogeological characterization data. The results show that the network scale hydrogeological heterogeneity dominates the distribution variability of flowrates. The proposed parameterization approach for the channel conductance is effective and robust. Based on the available hydrogeological characterization data, it is possible to compensate for the neglected heterogeneity in the CN model by enhancing the variability of assigned channel conductance. The findings from this work are useful for model simplification from 3D DFN to CN, and for overcoming the difficulty in the parameterization of CN models in applications.

Place, publisher, year, edition, pages
Elsevier BV , 2023. Vol. 317, article id 107060
Keywords [en]
Groundwater flow, Fractured rock, Geological data, Hydraulic property, Discrete fracture network, Channel network
National Category
Oceanography, Hydrology and Water Resources
Identifiers
URN: urn:nbn:se:kth:diva-326075DOI: 10.1016/j.enggeo.2023.107060ISI: 000957622100001Scopus ID: 2-s2.0-85150217853OAI: oai:DiVA.org:kth-326075DiVA, id: diva2:1752968
Note

QC 20230425

Available from: 2023-04-25 Created: 2023-04-25 Last updated: 2023-04-25Bibliographically approved

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Zou, LiangchaoSelroos, Jan-OlofCvetkovic, Vladimir

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