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Reduction of ambiguity in geological models using multiple data setsRigoti, Augustinho January 1985 (has links)
No description available.
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You know its summer in Ireland when the rain gets warmer: Analysing repetitive time-lapse earth resistance data to determine ‘optimal’ survey climate conditionsBonsall, James P.T., Gaffney, Christopher F., Armit, Ian January 2015 (has links)
No
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The Subsurface Resistivity Structure of Kilauea Volcano, Hawai'iKauahikaua, James P 5 1900 (has links)
Using the controlled-source electromagnetic technique, resistivity soundings were obtained at 49 •locations around the summit caldera and upper rift zones of Kilauea volcano. Each sounding consisted of vector measurements of the magnetic field induced by a large-moment horizontal loop current source at discrete frequencies between 0.04 and 8 Hz. The source-to-sensor distances ranged from 2.5 to 13 km. The data have been computer-inverted to produce a best-fitting horizontally layered earth model. Although each sounding's interpretation is different in detail, the volcano’s structure appears simple and can be represented by four, subhorizontal layers. The surface layer is highly resistive and coincid.es with. the dry, basaltic overburden. At a depth of 500 to 1000 m, resistivities decrease abruptly to between 30 and 50 ohm-m, marking the top of the water-saturated zone. The third layer occurs between 2 and 3 km depth and has a resistivity of less than 10 ohm-m and a total conductance of about 200 mhos. This layer is underlain everywhere by highly resistive rock to a depth of at least 6 km, the estimated limit of penetration by this study. Pockets of low resistivity (less than 20 ohm--m) occur irregularly within the high-resistivity basement. Because of its widespread occurrence, 'the shallower conductive layer (layer 3) is probably water-saturated rock at high, temperature; however, the possibility of thin, intruded sills of magma contributing to the low resistivities cannot be refuted, The pockets of low resistivity within layer 4 occur at a depth of 5 km and are believed to be magma chamber 2 to 3 km deeper than models derived from earthquake hypocenter location and surface deformation studies. / ill
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The mise-a-la-masse method using induced polarizationBoissevain, Paul Robert January 1982 (has links)
No description available.
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Analysis of complex resistivity models in spheroidal geometriesFlanagan, Peter William January 1983 (has links)
No description available.
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Resistivity imaging of abandoned minelands at Huntley Hollow, Hocking County, OhioIshankuliev, Murad. January 2007 (has links)
Thesis (M.S.)--Ohio University, June, 2007. / Title from PDF t.p. Includes bibliographical references.
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Applications of surface electrical resistivity surveys and modflow modeling in Smoky Hill River aquifer, Kansas /Shei, Tai-Chyi. January 2007 (has links)
Thesis (Ph.D.)--University of Texas at Dallas, 2007. / Includes vita. Includes bibliographical references (leaves 132-135)
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Layer by layer reconstruction methods for the earth resistivity from direct current measurementsJanuary 1984 (has links)
Bernard C. Levy. / "July 1984." / Bibliography: p. 34-36. / NSF grant ECS-83-12921 Air Force Office Scientific Research Grant AFOSR-82-0135B
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Time-lapse Geophysical Investigations over Known Archaeological Features Using Electrical Resistivity Imaging and Earth ResistanceFry, Robert J. January 2014 (has links)
Electrical methods of geophysical survey are known to produce results that are hard to predict at different times of the year, and under differing weather conditions. This is a problem which can lead to misinterpretation of archaeological features under investigation. The dynamic relationship between a ‘natural’ soil matrix and an archaeological feature is a complex one, which greatly affects the success of the feature’s detection when using active electrical methods of geophysical survey. This study has monitored the gradual variation of measured resistivity over a selection of study areas. By targeting difficult to find, and often ‘missing’ electrical anomalies of known archaeological features, this study has increased the understanding of both the detection and interpretation capabilities of such geophysical surveys.
A 16 month time-lapse study over 4 archaeological features has taken place to investigate the aforementioned detection problem across different soils and environments. In addition to the commonly used Twin-Probe earth resistance survey, electrical resistivity imaging (ERI) and quadrature electro-magnetic induction (EMI) were also utilised to explore the problem. Statistical analyses have provided a novel interpretation, which has yielded new insights into how the detection of archaeological features is influenced by the relationship between the target feature and the surrounding ‘natural’ soils.
The study has highlighted both the complexity and previous misconceptions around the predictability of the electrical methods. The analysis has confirmed that each site provides an individual and nuanced situation, the variation clearly relating to the composition of the soils (particularly pore size) and the local weather history. The wide range of reasons behind survey success at each specific study site has been revealed. The outcomes have shown that a simplistic model of seasonality is not universally applicable to the electrical detection of archaeological features. This has led to the development of a method for quantifying survey success, enabling a deeper understanding of the unique way in which each site is affected by the interaction of local environmental and geological conditions.
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A reappraisal of archaeological geophysical surveys on Irish road corridors 2001-2010. With particular reference to the influence of geological, seasonal and archaeological variablesBonsall, James P.T. January 2014 (has links)
Geophysical surveys in the Republic of Ireland and elsewhere rarely have the opportunity to receive direct, meaningful and quantitative feedback from ground observed excavations, despite their frequent occurrence as a subsequent phase of development-led archaeological projects. This research critically reappraises the largest and most coherent geophysical archive maintained by a single end-user over a ten year period. The geophysical archive has been collated from 170 reports on linear road schemes as a result of commercially-driven assessments in Ireland, to facilitate the biggest analysis of geophysical survey legacy data and subsequent detailed excavations.
The analysis of the legacy data archive has reviewed and tested the influence of key variables that have, in some circumstances, affected the methods and outcomes of geophysical assessments in Ireland over the last 10 years. By understanding the impact of those key variables upon the legacy data - which include archaeological feature type, geology, sampling strategy and seasonality - appropriate and new ways to research linear corridors have been suggested that should be employed in future geophysical survey assessments for a range of environments and archaeological site types. The comprehensive analysis of geophysical surveys from the legacy data archive has created definitive statements regarding the validity of geophysical techniques in Ireland. Key failures that occurred in the past have been identified and a thorough investigation of new and novel techniques or methods of survey will facilitate a more robust approach to geophysical survey strategies in the future. The outcomes of this research are likely to have ramifications beyond the Irish road corridors from which the legacy data derives. / National Roads Authority (NRA)
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