1982
DOI: 10.1111/j.1365-246x.1982.tb06403.x
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On the quality of marine magnetic anomaly sources and sea-floor topography

Abstract: The quality of marine magnetic anomaly sources is described with the power-density representation of a stochastic model of random temporal and spatial emplacement of the marine magnetic anomaly source in the oceanic crust. Typical values of sea-floor spreading and emplacement parameters define a high-fidelity process of recording and sea-surface detection of the palaeomagnetic field reversals for spreading rates over 20mmyr-'. An analogous stochastic model is developed for the formation of sea-floor topography… Show more

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Cited by 20 publications
(8 citation statements)
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References 19 publications
(31 reference statements)
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“…No effort has been made in this study to investigate the relationship of their spectra to the spreading rate, because the bathymetry profiles used are too short to generate reliable estimates of the thermal subsidence trend, thus making it impossible to extract these small features from the ridge axial topography. These topographic features appear to be created by faulting at the inner walls of the rift valley and to be subsequently transported away from the spreading axis (Macdonald & Atwater, 1978;Francis, 1981;Schouten et al, 1982;Malinverno & Gilbert, 1989). Studies have shown that the root-mean-square amplitude roughness of small-scale features, defined as the square root of the average deviation of the depths from those predicted by the age-depth relationship, is proportional to the spreading rate (Hayes & Kane, 1991) or to the square root of the spreading rate (Malinvero, 1991).…”
Section: Resultsmentioning
confidence: 98%
“…No effort has been made in this study to investigate the relationship of their spectra to the spreading rate, because the bathymetry profiles used are too short to generate reliable estimates of the thermal subsidence trend, thus making it impossible to extract these small features from the ridge axial topography. These topographic features appear to be created by faulting at the inner walls of the rift valley and to be subsequently transported away from the spreading axis (Macdonald & Atwater, 1978;Francis, 1981;Schouten et al, 1982;Malinverno & Gilbert, 1989). Studies have shown that the root-mean-square amplitude roughness of small-scale features, defined as the square root of the average deviation of the depths from those predicted by the age-depth relationship, is proportional to the spreading rate (Hayes & Kane, 1991) or to the square root of the spreading rate (Malinvero, 1991).…”
Section: Resultsmentioning
confidence: 98%
“…The resolution of magnetic anomalies depends on a number of factors related to anomalies and their sources on the one hand (Schouten et al, 1982) and on the conditions of observation and magnetic anom aly registration, under which different technical and methodical errors are introduced, on the other hand (Barrett, 1968;Akker et al, 1970).…”
Section: Resolvability Of Marine Magnetic Anomalies Estimated By Tradmentioning
confidence: 99%
“…Schouten et al (1982) quantitatively estimated the resolvability of marine magnetic anomalies based on the source stochastic model. They considered a com plex magnetic layer formation model, according to which basalts erupt stochastically in time and space.…”
Section: Resolvability Of Marine Magnetic Anomalies Estimated By Tradmentioning
confidence: 99%
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“…This varies in character from place to place; for instance, the slow spreading mid-Atlantic ridge is usually associated with relatively rough topography, whereas the fast spreading East Pacific rise and much of the slow spreading Reykjanes ridge are associated with more smooth topography. This secondarder topography has been elegantly explained by Schouten, Denham & Smith (1982), who show that a stochastic model of discrete random temporal and spatial normal faults close to the ridge crest can reproduce the main characteristics of seafloor morphology (Rea 1975;Macdonald & Luyendyk 1977;Laughton & Searle 1979;Atwater 1979) by an appropriate choice of parameters like mean density of normal faults, mean fault throw and mean fault block tilt.…”
Section: Introductionmentioning
confidence: 97%