M
Michael D. Knoll
Researcher at Boise State University
Publications - 41
Citations - 1523
Michael D. Knoll is an academic researcher from Boise State University. The author has contributed to research in topics: Radar & Ground-penetrating radar. The author has an hindex of 22, co-authored 41 publications receiving 1431 citations.
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Journal ArticleDOI
Advancing process‐based watershed hydrological research using near‐surface geophysics: A vision for, and review of, electrical and magnetic geophysical methods
David A. Robinson,Andrew Binley,N. Crook,Frederick D. Day-Lewis,Ty P. A. Ferré,V. J. S. Grauch,Rosemary Knight,Michael D. Knoll,Venkat Lakshmi,Richard D. Miller,Jonathan E. Nyquist,L. Pellerin,Kamini Singha,Lee Slater +13 more
TL;DR: The paper identifies instruments, provides examples of their use, and describes how synergy between measurement and modelling could be achieved, and provides a vision for the use of electrical and magnetic geophysical instrumentation in watershed scale hydrology.
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Time-lapse ERT monitoring of an injection/withdrawal experiment in a shallow unconfined aquifer
TL;DR: In this paper, a sequential injection/withdrawal experiment was designed for monitoring the pump-and-capture remediation of a conductive solute in an unconfined alluvial aquifer.
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Multivariate Analysis of Cross-Hole Georadar Velocity and Attenuation Tomograms for Aquifer Zonation
TL;DR: In this article, a multivariate statistical technique, known as k-means cluster analysis, is used to correlate and integrate information contained in velocity and attenuation tomograms, and a comparison of the clustered tomographic section with well-log data demonstrates that their approach delineates the hydrostratigraphic zonation.
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A field assessment of the value of steady shape hydraulic tomography for characterization of aquifer heterogeneities
TL;DR: In this paper, a field-scale assessment of hydraulic tomography in a porous aquifer, with an emphasis on the steady shape analysis methodology, is presented, and the hydraulic conductivity (K) estimates from steady shape and transient analyses of the tomographic data compare well with those from a tracer test and direct-push permeameter tests, providing a field validation of the method.
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Sensitivity of electrical resistivity tomography data to electrode position errors
TL;DR: In this article, a scattering-type equation is proposed to describe the sensitivity of electrical potential to both source and receiver positions, which is described by a scattering type equation and depends not only on source-receiver separation, but also on the location and magnitude of contrasts in electrical conductivity.