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Electrical resistivity imaging of the architecture of substream sediments Public Deposited

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  • The modeling of fluvial systems is constrained by a lack of spatial information about the continuity and structure of streambed sediments. There are few methods for noninvasive characterization of streambeds. Invasive methods using wells and cores fail to provide detailed spatial information on the prevailing architecture and its continuity. Geophysical techniques play a pivotal role in providing spatial information on subsurface properties and processes across many other environments, and we have applied the use of one of those techniques to streambeds. We demonstrate, through two examples, how electrical resistivity imaging can be utilized for characterization of subchannel architecture. In the first example, electrodes installed in riparian boreholes and on the streambed are used for imaging, under the river bed, the thickness and continuity of a highly permeable alluvial gravel layer overlying chalk. In the second example, electrical resistivity images, determined from data collected using electrodes installed on the river bed, provide a constrained estimate of the sediment volume behind a log jam, vital to modeling biogeochemical exchange, which had eluded measurement using conventional drilling methods owing to the boulder content of the stream. The two examples show that noninvasive electrical resistivity imaging is possible in complex stream environments and provides valuable information about the subsurface architecture beneath the stream channels.
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  • Crook, N., A. Binley, R. Knight, D. A. Robinson, J. Zarnetske, and R. Haggerty (2008), Electrical resistivity imaging of the architecture of substream sediments, Water Resources Research, 44, W00D13, doi:10.1029/2008WR006968.
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  • This material is based on work supported by the U.S. National Science Foundation (NSF) under grants 03-26064, 04- 47287, and EAR 04-09534 and by the UK Natural Environment Research Council (NERC) LOCAR program under grant NER/T/S/2001/00948.
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  • description.provenance : Submitted by Deanne Bruner (deanne.bruner@oregonstate.edu) on 2012-02-10T21:17:19Z No. of bitstreams: 1 HaggertyRoyCEOASElectricalResistivityImaging.pdf: 1837666 bytes, checksum: 30d1722b38196b01dcab6f82daaaec23 (MD5)
  • Vol. 44 no. W00D13
  • description.provenance : Made available in DSpace on 2012-02-10T21:17:19Z (GMT). No. of bitstreams: 1 HaggertyRoyCEOASElectricalResistivityImaging.pdf: 1837666 bytes, checksum: 30d1722b38196b01dcab6f82daaaec23 (MD5) Previous issue date: 2008
  • Water Resources Research

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