Seabed characterization on the New Jersey middle and outer shelf: correlatability and spatial variability of seafloor sediment properties

Goff, John A.; Kraft, Barbara J.; Mayer, Larry A.; Schock, Steven G.; Sommerfield, Christopher K.; Olson, Hilary Clement; Gulick, Sean P. S.; Nordfjord, S.

doi:10.1016/j.margeo.2004.05.030

Cited by 165 publications

(114 citation statements)

References 39 publications

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“…A quantitative comparison between the two mapped values is presented in Figure 15. Considerable scatter is evident in this direct comparison, likely due both to the very different spatial resolutions of the two maps and to the generally erratic behavior of backscatter data (e.g., Goff et al, 2004). As noted previously, temporal variability of the usSEABED records may also contribute to spatial erraticity of the mean grain size values.…”

Section: Example Application: Mapping Grain Size Character Of the Lonmentioning

confidence: 80%

“…For purposes of hydraulic analysis, shells are considered unrepresentative of the processes under consideration, and so are simply ignored. For other purposes, such as understanding acoustic backscatter, the presence of shells can be a critical factor (e.g., Goff et al, 2004). Over the entire usSEABED database, however, it is important to consider the possibility of a bias in analytic measures of mean grain size due to the under-reportage of shell material.…”

Section: Derivation Of Mean Grain Size From Observations and Samplesmentioning

confidence: 99%

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Seabed mapping and characterization of sediment variability using the usSEABED data base

Goff

Jenkins

Williams

2008

Continental Shelf Research

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Abstract. We present a methodology for statistical analysis of randomly-located marine sediment point data, and apply it to the U.S. continental shelf portions of usSEABED mean grain size records. The usSEABED database, like many modern, large environmental datasets, is heterogeneous and interdisciplinary. We statistically test the database as a source of mean grain size data, and from it provide a first examination of regional seafloor sediment variability across the entire US continental shelf. Data derived from laboratory analyses ("extracted") and from word-based descriptions ("parsed") are treated separately, and they are compared statistically and 2 deterministically. Data records are selected for spatial analysis by their location within sample regions: polygonal areas defined in ArcGIS chosen by geography, water depth, and data sufficiency. We derive isotropic, binned semivariograms from the data, and invert these for estimates of noise variance, field variance, and decorrelation distance. The highly erratic nature of the semivariograms is a result both of the random locations of the data and of the high level of data uncertainty (noise). This decorrelates the data covariance matrix for the inversion, and largely prevents robust estimation of the fractal dimension. Our comparison of the extracted and parsed mean grain size data demonstrates important differences between the two. In particular, extracted measurements generally produce finer mean grain sizes, lower noise variance, and lower field variance than parsed values. Such relationships can be used to derive a regionallydependent conversion factor between the two. Our analysis of sample regions on the U.S. continental shelf revealed considerable geographic variability in the estimated statistical parameters of field variance and decorrelation distance. Some regional relationships are evident, and overall there is a tendency for field variance to be higher where the average mean grain size is finer grained. Surprisingly, parsed and extracted noise magnitudes correlate with each other, which may indicate that some portion of the data variability that we identify as "noise" is caused by real grain size variability at very short scales. Our analyses demonstrate that by applying a bias-correction proxy, usSEABED data can be used to generate reliable interpolated maps of regional mean grain size and sediment character.

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Section: Example Application: Mapping Grain Size Character Of the Lonmentioning

confidence: 80%

Section: Derivation Of Mean Grain Size From Observations and Samplesmentioning

confidence: 99%

Seabed mapping and characterization of sediment variability using the usSEABED data base

Goff

Jenkins

Williams

2008

Continental Shelf Research

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“…The solid black line is the prediction using the Biot parameters listed in Table I of Ref. 18, which were derived from measurements made during the Sediment Acoustics Experiment in 1999 (SAX99). The solid blue line is derived from the SAX99 parameters but with a lower bound estimate (β=0.363) for the porosity at the New Jersey shelf location [19]. The two dotted lines are derived from the SAX99 parameters but with upper and lower bound estimates for the permeability, κ=1.0x10-10 m 2 and κ=1.0x10-11 m 2 , respectively.…”

Section: Analysis Of Acoustical Measurementsmentioning

confidence: 99%

Seabed attenuation in water saturated sands on New Jersey continental shelf in 50–3000 Hz band

Knobles¹,

Simmen²,

Livingston³

et al. 2010

AIP Conference Proceedings

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“…It has been a tendency to study the fine structure of sand ridges by using high-resolution and large-density data, such as multi-beam echo sounding data and single-channel seismic profiles (Goff et al 1999(Goff et al , 2004(Goff et al , 2005a(Goff et al , 2005bTodd et al 1999;Todd 2005;Li and King 2007). However, some old topographic maps constructed from single-beam echo sounding data are still used to study the sand ridges, from which it is difficult to discover accurately the spacetime distribution and fine structure of the sand ridges.…”

Section: Introductionmentioning

confidence: 99%

Comparison of buried sand ridges and regressive sand ridges on the outer shelf of the East China Sea

Wu¹,

Jin²,

Zhou

et al. 2016

Mar Geophys Res

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Based on multi-beam echo soundings and highresolution single-channel seismic profiles, linear sand ridges in U14 and U2 on the East China Sea (ECS) shelf are identified and compared in detail. Linear sand ridges in U14 are buried sand ridges, which are 90 m below the seafloor. It is presumed that these buried sand ridges belong to the transgressive systems tract (TST) formed 320-200 ka ago and that their top interface is the maximal flooding surface (MFS). Linear sand ridges in U2 are regressive sand ridges. It is presumed that these buried sand ridges belong to the TST of the last glacial maximum (LGM) and that their top interface is the MFS of the LGM. Four sub-stage sand ridges of U2 are discerned from the high-resolution single-channel seismic profile and four strikes of regressive sand ridges are distinguished from the submarine topographic map based on the multi-beam echo soundings. These multi-stage and multi-strike linear sand ridges are the response of, and evidence for, the evolution of submarine topography with respect to sea-level fluctuations since the LGM. Although the difference in the age of formation between U14 and U2 is 200 ka and their sequences are 90 m apart, the general strikes of the sand ridges are similar. This indicates that the basic configuration of tidal waves on the ECS shelf has been stable for the last 200 ka. A basic evolutionary model of the strata of the ECS shelf is proposed, in which sea-level change is the controlling factor. During the sea-level change of about 100 ka, five to six strata are developed and the sand ridges develop in the TST. A similar story of the evolution of paleotopography on the ECS shelf has been repeated during the last 300 ka.

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Seabed characterization on the New Jersey middle and outer shelf: correlatability and spatial variability of seafloor sediment properties

Cited by 165 publications

References 39 publications

Seabed mapping and characterization of sediment variability using the usSEABED data base

Seabed mapping and characterization of sediment variability using the usSEABED data base

Seabed attenuation in water saturated sands on New Jersey continental shelf in 50–3000 Hz band

Comparison of buried sand ridges and regressive sand ridges on the outer shelf of the East China Sea

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