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  • 1
    Online Resource
    Online Resource
    New York :Cambridge University Press,
    Keywords: Geophysics -- Methodology. ; Electronic books.
    Description / Table of Contents: This refreshing, up-to-date book explores the latest developments in near-surface techniques and the foundations of interpretation theory, using simple physical terms, intermediate-level mathematics and illustrative case studies. This advanced-undergraduate and graduate-level geophysics textbook is also a valuable reference for practising geophysicists, geologists, hydrologists, archaeologists, and civil and geotechnical engineers.
    Type of Medium: Online Resource
    Pages: 1 online resource (444 pages)
    Edition: 1st ed.
    ISBN: 9781107347854
    DDC: 550
    Language: English
    Note: Intro -- Contents -- Preface -- Acknowledgments -- 1 Introduction -- 1.1 Workflow -- 1.2 Some applications of near-surface geophysics -- 1.3 Communication of uncertainties -- 1.4 Outline of the book -- 2 Data analysis -- 2.1 Information -- 2.2 Sensors -- 2.3 Frequency response -- 2.4 Discrete Fourier transform -- 2.5 Filtering -- 2.6 Convolution -- 2.7 Sampling and aliasing -- 2.8 Data windows and spectral analysis -- 2.9 De-spiking time series -- 2.10 Continuous wavelet transform (CWT) -- Problems -- 3 Magnetics -- 3.1 Introduction -- 3.2 Fundamentals -- 3.3 Instrumentation -- 3.4 Magnetic gradiometry -- 3.5 Geomagnetic field -- 3.6 Total-field anomaly -- 3.7 Interpretation of magnetic anomalies -- 3.8 Reduction to the pole -- 3.9 Depth rules -- 3.10 Magnetic properties of rocks, soils, and buried steel objects -- 3.11 Remanent magnetization -- 3.12 Image-enhancement filters -- 3.13 Upward continuation -- 3.14 Euler and Werner deconvolution -- 3.15 Illustrative case histories -- Problems -- 4 Electrical resistivity method -- 4.1 Introduction -- 4.2 Fundamentals -- 4.3 Sensitivity functions -- 4.4 Multi-layer models -- 4.5 Azimuthal resistivity -- 4.6 Resistivity pseudosections -- 4.7 Electrical-resistivity tomography (ERT) -- 4.8 Electrical properties of rocks -- 4.9 Electrical-hydraulic field-scale correlation studies -- 4.10 Optimal electrode placement -- 4.11 Underwater resistivity techniques -- 4.12 Illustrative case histories -- Problems -- 5 Induced polarization and self-potential -- 5.1 Induced polarization (IP): introduction -- 5.2 Phenomenological resistivity dispersion models -- 5.3 Electrode, membrane, and interfacial polarization -- 5.4 IP response and subsurface geological processes -- 5.5 Non-polarizing electrodes -- 5.6 IP illustrated case history -- 5.7 Self-potential (SP): introduction -- 5.8 Physical mechanisms. , 5.9 Interpretation of SP measurements -- 5.10 Continuous wavelet transform analysis -- 5.11 SP illustrated case history -- Problem -- 6 Seismic reflection and refraction -- 6.1 Introduction -- 6.2 Stress and strain -- 6.3 Wave motion -- 6.4 Seismic waves and elastic moduli -- 6.5 Seismic velocity of geomaterials -- 6.6 Reflection and refraction at an interface -- 6.7 Diffraction -- 6.8 Analysis of idealized reflection seismograms -- 6.9 Vertical and horizontal resolution -- 6.10 Common midpoint profiling -- 6.11 Dip moveout -- 6.12 Attenuation -- 6.13 Seismic refraction -- 6.14 Practical considerations -- 6.15 Seismic data processing -- 6.16 Ray-path modeling -- 6.17 Illustrated case studies -- Problems -- 7 Seismic surface-wave analysis -- 7.1 Rayleigh waves -- 7.2 Dispersion -- 7.3 Rayleigh-wave propagation in a multi-layer system -- 7.4 Spectral analysis of surface waves (SASW) -- 7.5 Multichannel analysis of surface waves (MASW) -- 7.6 Inversion of R-wave dispersion characteristics -- 7.7 Microtremor and passive studies -- 7.8 Illustrated case histories -- 8 Electromagnetic induction -- 8.1 Introduction -- 8.2 Fundamentals -- 8.3 The skin effect -- 8.4 Inductively coupled LR circuits -- 8.5 Terrain conductivity meters -- 8.6 Time-domain EM induction -- 8.7 Finite-source excitation of a layered Earth -- 8.8 Plane-wave excitation methods: VLF, RMT, CSMT -- 8.9 Airborne electromagnetics -- 8.10 EM responses of rough geological media -- 8.11 Anisotropy -- 8.12 Illustrated case histories -- Problems -- 9 Ground-penetrating radar -- 9.1 Fundamentals -- 9.2 Dielectric constant and electrical conductivity -- 9.3 Dielectric properties of rocks and soils -- 9.4 Resolution -- 9.5 Data acquisition -- 9.6 Basic GPR data processing -- 9.7 Advanced GPR data processing -- 9.8 Electromagnetic plane waves -- 9.9 Plane-wave reflection from an interface. , 9.10 Analysis of thin beds -- 9.11 GPR antennas -- 9.12 GPR radiation patterns -- 9.13 Target polarization -- 9.14 GPR guided waves -- 9.15 GPR illustrative case histories -- Problems -- 10 Emerging techniques -- 10.1 Surface nuclear magnetic resonance -- 10.2 Time-lapse microgravity -- 10.3 Induced-seismicity studies -- 10.4 Landmine discrimination -- 10.5 Passive GPR interferometry -- 10.6 Seismoelectric coupling -- 11 Linear inversion -- 11.1 Introduction -- 11.2 Linear-parameter estimation -- 11.3 Least-squares solution -- 11.4 Example: near-surface magnetization -- 11.5 Example: deconvolution -- 11.6 Data covariance -- 11.7 The null space -- 11.8 The minimum-norm solution -- 11.9 The trade-off curve -- 11.10 Regularization -- 11.11 Example: EM loop-loop sounding -- 11.12 Singular-value decomposition -- Problems -- 12 Non-linear inversion: local methods -- 12.1 Introduction -- 12.2 Steepest-descent method -- 12.3 Non-linear least-squares method -- 12.4 Levenberg-Marquardt method -- 12.5 Quasi-Newton methods -- 12.6 Conjugate-gradient method -- 12.7 Example: seismic traveltime tomography -- 12.8 Bayesian inversion -- 12.9 Auxiliary sensitivity analysis -- Problems -- 13 Non-linear inversion: global methods -- 13.1 Markov chain Monte Carlo (MCMC) method -- 13.2 Simulated-annealing (SA) method -- 13.3 Genetic-algorithm (GA) method -- 13.4 Neural-network (NN) methods -- 13.5 The self-organizing map (SOM) -- Problem -- Appendix A Shannon sampling theorem -- Appendix B Solution of Laplace´s equation in spherical coordinates -- Appendix C The linear tau-p transformation of seismic data -- Appendix D Horizontal loop over a conducting halfspace -- Dirac delta function in cylindrical coordinates -- Source current density for a horizontal loop -- Hankel transforms -- Appendix E Radar TE waveguide mode equations -- References -- Index.
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  • 2
    Book
    Book
    Cambridge [u.a.] : Cambridge Univ. Press
    Keywords: Geophysics Methodology ; Lehrbuch ; Angewandte Geophysik ; Umweltgeophysik ; Oberflächennähe ; Geophysik ; Prospektion ; Methode ; Geophysik ; Methodologie
    Type of Medium: Book
    Pages: XIV, 403 S. , Ill., graph. Darst. , 25 cm
    Edition: 1. publ.
    ISBN: 9781107018778
    DDC: 550
    RVK:
    RVK:
    Language: English
    Note: Literaturverz. S. 379 - 399 und Index , Machine generated contents note: Preface; Acknowledgments; 1. Introduction; 2. Data analysis; 3. Magnetics; 4. Electrical resistivity method; 5. Induced polarization and self-potential; 6. Seismic reflection and refraction; 7. Seismic surface wave analysis; 8. Electromagnetic induction; 9. Ground-penetrating radar; 10. Emerging techniques; 11. Linear inversion; 12. Nonlinear inversion: local methods; 13. Nonlinear inversion: global methods; Appendix A. Shannon sampling theorem; Appendix B. Solution of Laplace's equation in spherical coordinates; Appendix C. The linear t--p transformation of seismic data; Appendix D. Horizontal loop over a conducting halfspace; Appendix E. Radar TE waveguide mode equations; References; Index.
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  • 3
    Publication Date: 2022-05-25
    Description: Author Posting. © The Authors, 2016. This article is posted here by permission of Oxford University Press for personal use, not for redistribution. The definitive version was published in Geophysical Journal International 208 (2017): 1026-1042, doi:10.1093/gji/ggw435.
    Description: In recent years, marine controlled source electromagnetics (CSEM) has found increasing use in hydrocarbon exploration due to its ability to detect thin resistive zones beneath the seafloor. It is the purpose of this paper to evaluate the physics of CSEM for an ocean whose electrical thickness is comparable to or much thinner than that of the overburden using the in-line configuration through examination of the elliptically polarized seafloor electric field, the time-averaged energy flow depicted by the real part of the complex Poynting vector, energy dissipation through Joule heating and the Fréchet derivatives of the seafloor field with respect to the subseafloor conductivity that is assumed to be isotropic. The deep water (ocean layer electrically much thicker than the overburden) seafloor EM response for a model containing a resistive reservoir layer has a greater amplitude and reduced phase as a function of offset compared to that for a half-space, or a stronger and faster response. For an ocean whose electrical thickness is comparable to or much smaller than that of the overburden, the electric field displays a greater amplitude and reduced phase at small offsets, shifting to a stronger amplitude and increased phase at intermediate offsets and a weaker amplitude and enhanced phase at long offsets, or a stronger and faster response that first changes to stronger and slower, and then transitions to weaker and slower. These transitions can be understood by visualizing the energy flow throughout the structure caused by the competing influences of the dipole source and guided energy flow in the reservoir layer, and the air interaction caused by coupling of the entire subseafloor resistivity structure with the sea surface. A stronger and faster response occurs when guided energy flow is dominant, while a weaker and slower response occurs when the air interaction is dominant. However, at intermediate offsets for some models, the air interaction can partially or fully reverse the direction of energy flux in the reservoir layer toward rather than away from the source, resulting in a stronger and slower response. The Fréchet derivatives are dominated by preferential sensitivity to the reservoir layer conductivity for all water depths except at high frequencies, but also display a shift with offset from the galvanic to the inductive mode in the underburden and overburden due to the interplay of guided energy flow and the air interaction. This means that the sensitivity to the horizontal conductivity is almost as strong as to the vertical component in the shallow parts of the subsurface, and in fact is stronger than the vertical sensitivity deeper down. However, the sensitivity to horizontal conductivity is still weak compared to the vertical component within thin resistive regions. The horizontal sensitivity is gradually decreased when the water becomes deep. These observations in part explain the success of shallow towed CSEM using only measurements of the in-line component of the electric field.
    Keywords: Electrical properties ; Marine electromagnetics
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 4
    Publication Date: 2022-05-25
    Description: Author Posting. © The Authors, 2017. This article is posted here by permission of Oxford University Press for personal use, not for redistribution. The definitive version was published in Geophysical Journal International 211 (2017): 1046–1061, doi:10.1093/gji/ggx360.
    Description: In recent years, marine controlled source electromagnetics (CSEM) has found increasing use in hydrocarbon exploration due to its ability to detect thin resistive zones beneath the seafloor. It is the purpose of this paper to evaluate the physics of CSEM for an ocean whose electrical thickness is comparable to or much thinner than that of the overburden using the in-line configuration through examination of the elliptically-polarized seafloor electric field, the time-averaged energy flow depicted by the real part of the complex Poynting vector, energy dissipation through Joule heating and the Fréchet derivatives of the seafloor field with respect to the sub-seafloor conductivity that is assumed to be transversely anisotropic, with a vertical-to-horizontal resistivity ratio of 3:1. For an ocean whose electrical thickness is comparable to that of the overburden, the seafloor electromagnetic response for a model containing a resistive reservoir layer has a greater amplitude and reduced phase as a function of offset compared to that for a halfspace, or a stronger and faster response, and displays little to no evidence for the air interaction. For an ocean whose electrical thickness is much smaller than that of the overburden, the electric field displays a greater amplitude and reduced phase at small offsets, shifting to a stronger amplitude and increased phase at intermediate offsets, and a weaker amplitude and enhanced phase at long offsets, or a stronger and faster response that first changes to stronger and slower, and then transitions to weaker and slower. By comparison to the isotropic case with the same horizontal conductivity, transverse anisotropy stretches the Poynting vector and the electric field response from a thin resistive layer to much longer offsets. These phenomena can be understood by visualizing the energy flow throughout the structure caused by the competing influences of the dipole source and guided energy flow in the reservoir layer, and the air interaction caused by coupling of the entire sub-seafloor resistivity structure with the sea surface. The Fréchet derivatives are dominated by preferential sensitivity to the vertical conductivity in the reservoir layer and overburden at short offsets. The horizontal conductivity Fréchet derivatives are weaker than to comparable to the vertical derivatives at long offsets in the substrate. This means that the sensitivity to the horizontal conductivity is present in the shallow parts of the subsurface. In the presence of transverse anisotropy, it is necessary to go to higher frequencies to sense the horizontal conductivity in the overburden as compared to an isotropic model with the same horizontal conductivity. These observations in part explain the success of shallow towed CSEM using only measurements of the in-line component of the electric field.
    Description: This work was supported at WHOI by an Independent Research and Development award, and by the Walter A. and Hope Noyes Smith Chair for Excellence in Oceanography.
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 5
    Publication Date: 2021-02-08
    Description: Highlights • Barrier island beach and dunes can inherit morphology from framework geology. • The influence of buried paleo-channels is affected by their scale and orientation. • Non-linear interaction occurs between geology and smaller-scale coastal processes. • Framework geology is key to predicting barrier island response to sea level rise. • Fine-scale variability in dune height is greater landward of buried paleo-channels. Abstract Barrier island response and recovery to storms, and island transgression with relative sea level rise, can be influenced by the framework geology. The influence of framework geology on barrier island geomorphology has previously been examined in areas where the framework is rhythmic alongshore or consists of an isolated paleo-channel or headland. The purpose of this paper is to examine the influence of framework geology on beach and dune geomorphology at Padre Island National Seashore (PAIS), Texas, USA, where the framework geology is variable alongshore. Alongshore beach and dune morphometrics and offshore bathymetric profiles were extracted from a combined topography and bathymetry digital elevation model (DEM) using an automated approach along the ~100 km study area, and an electromagnetic induction (EMI) survey was used to map the subsurface framework geology. Wavelet decomposition, Global Wavelet (GW), and bicoherence analyses were used to test for spatial relationships between and within the extracted alongshore metrics. GW trendlines demonstrate that beach and dune morphometrics are structurally controlled. Hotspots in wavelet coherence plots between framework geology and alongshore island morphometrics indicate that the paleo-channels dissecting the island influence beach and dune morphology, with large dunes found in the area directly landward of the paleochannels. Bicoherence analysis of alongshore beach and dune morphometrics indicates that low-frequency oscillations due to framework geology interact with higher-frequency oscillations, with greater small-scale variability in the dune line directly landward of the paleo-channels. These results suggest that the paleo-channels of PAIS non-linearly influence beach and dune morphology, which in turn alters the response of the island to storms and sea level rise. It is argued that an understanding of the framework geology is key to predicting island response to sea level rise and framework geology needs to be included in barrier island models. This paper demonstrates that an irregular framework geology influences small-scale coastal processes, and creates interactions across scales that influence beach and dune morphology and affects barrier island response to storms and sea level rise.
    Type: Article , PeerReviewed
    Format: text
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  • 6
    Publication Date: 2019-02-01
    Description: Electromagnetic induction (EMI) techniques are becoming increasingly popular for near-surface coastal geophysical applications. However, few studies have explored the capabilities and limitations of portable multifrequency EMI profilers for mapping large-scale (101–102 km) barrier island hydrogeology. The purpose of this study is to investigate the influence of groundwater dynamics on apparent conductivity σa to separate the effects of hydrology and geology from the σa signal. Shore-normal and alongshore surveys were performed within a highly conductive barrier island/wind-tidal flat system at Padre Island National Seashore, Texas, USA. Assessments of instrument calibration and signal drift suggest that σa measurements are stable, but vary with height and location across the beach. Repeatability tests confirm σa values using different boom orientations collected during the same day are reproducible. Measurements over a 12 h tidal cycle suggest that there is a tide-dependent step response in σa, complicating data processing and interpretation. Shore-normal surveys across the barrier/wind-tidal flats show that σa is roughly negatively correlated with topography and these relationships can be used for characterizing different coastal habitats. For all surveys, σa increases with decreasing frequency. Alongshore surveys performed during different seasons and beach states reveal a high degree of variability in σa. Here, it is argued that surveys collected during dry conditions characterize the underlying framework geology, whereas these features are somewhat masked during wet conditions. Differences in EMI signals should be viewed in a relative sense rather than as absolute magnitudes. Small-scale heterogeneities are related to changing hydrology, whereas low-frequency signals at the broadest scales reveal variations in framework geology. Multiple surveys should be done at different times of the year and tidal states before geologic interpretations can confidently be made from EMI surveys in coastal environments. This strategy enables the geophysicist to separate the effects of hydrology and geology from the σa signal.
    Type: Article , PeerReviewed
    Format: text
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  • 7
    Publication Date: 2021-03-18
    Description: Shorelines exhibit long-range dependence (LRD) and have been shown in some environments to be described in the wavenumber domain by a power law characteristic of scale-independence. Recent evidence suggests that the geomorphology of barrier islands can, however, exhibit scale dependence as a result of systematic variations of the underlying framework geology. The LRD of framework geology, which influences island geomorphology and its response to storms and sea level rise, has not been previously examined. Electromagnetic induction (EMI) surveys conducted along Padre Island National Seashore (PAIS), Texas, USA, reveal that the EMI apparent conductivity σa signal and, by inference, the framework geology exhibits LRD at scales up to 101 to 102 km. Our study demonstrates the utility of describing EMI σa and LiDAR spatial series by a fractional auto-regressive integrated moving average process that specifically models LRD. This method offers a robust and compact way for quantifying the geological variations along a barrier island shoreline using three parameters (p,d,q). We discuss how ARIMA (0,d,0) models that use a single parameter d provide a quantitative measure for determining free and forced barrier island evolutionary behavior across different scales. Statistical analyses at regional, intermediate, and local scales suggest that the geologic framework within an area of paleo-channels exhibits a first order control on dune height. The exchange of sediment amongst nearshore, beach and dune in areas outside this region are scale-independent, implying that barrier islands like PAIS exhibit a combination of free and forced behaviors that affect the response of the island to sea level rise.
    Type: Article , PeerReviewed
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  • 8
    Publication Date: 2017-12-12
    Description: The geologic framework controls on modern barrier island transgression and the relationship of these controls to subsurface structure, hydrology and island geomorphology are not well understood. Recent evidence suggests that alongshore variations in pre-Holocene geology of barrier islands modify nearshore hydrodynamic processes and sediment transport, ultimately affecting how barrier islands will respond to relative sea-level rise. Explorations of Holocene barrier island geology are usually based on cores to supplement bathymetric, onshore/offshore seismic and/or ground-penetrating radar (GPR) surveys. The advantages and limitations of these methods with respect to barrier island investigations are briefly described in this review. Alternative near-surface geophysical methods including electromagnetic induction (EMI) sensors are increasingly being used for coastal research because they are non-invasive, provide continuous subsurface information across a variety of sub-environments, and are capable of characterizing large areas in a short time. Although these EMI sensors have shown promise in coastal applications, a number of issues primarily related to subsurface hydrology need to be addressed to fully assess the limitations of this technique. This paper reviews the theory, methodology and applications of EMI in support of geologic framework studies with particular reference to barrier islands. Resolution of these issues will allow EMI sensors to complement and offer significant advantages over traditional methods in support of an improved understanding of large-scale barrier island evolution.
    Type: Article , PeerReviewed
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  • 9
    Publication Date: 2020-01-07
    Type: Conference or Workshop Item , NonPeerReviewed , info:eu-repo/semantics/conferenceObject
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  • 10
    Publication Date: 2023-02-08
    Description: Groundwater resources in coastal regions are facing enormous pressure caused by population growth and climate change. Few studies have investigated whether offshore freshened groundwater systems are connected with terrestrial aquifers recharged by meteoric water, or paleo-groundwater systems that are no longer associated with terrestrial aquifers. Distinguishing between the two has important implications for potential extraction to alleviate water stress for many coastal communities, yet very little is known about these connections, mainly because it is difficult to acquire continuous subsurface information across the coastal transition zone. This study presents a first attempt to bridge this gap by combining three complementary near-surface electromagnetic methods to image groundwater pathways within braided alluvial gravels along the Canterbury coast, South Island, New Zealand. We show that collocated electromagnetic induction, ground penetrating radar, and transient electromagnetic measurements, which are sensitive to electrical contrasts between fresh (low conductivity) and saline (high conductivity) groundwater, adequately characterize hydrogeologic variations beneath a mixed sand gravel beach in close proximity to the Ashburton River mouth. The combined measurements – providing information at three different depths of investigation and resolution – show several conductive zones that are correlated with spatial variations in subsurface hydrogeology. We interpret the conductive zones as high permeability conduits corresponding to lenses of well-sorted gravels and secondary channel fill deposits within the braided river deposit architecture. The geophysical surveys provide the basis for a discharge model that fits our observations, namely that there is evidence of a multilayered system focusing groundwater flow through stacked high permeability gravel layers analogous to a subterranean river network. Coincident geophysical surveys in a region further offshore indicate the presence of a large, newly discovered freshened groundwater system, suggesting that the offshore system in the Canterbury Bight is connected with the terrestrial aquifer system.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
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