Relations between the thermal properties and porosity of sediments in the eastern flank of the Juan de Fuca Ridge

Gotô, Seiichi; Matsubayashi, Osamu

doi:10.1186/bf03353197

Cited by 58 publications

(86 citation statements)

References 19 publications

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“…Using this property, Goto and Matsubayashi (2009) indicated that the grain thermal diffusivity of N-mineral component aggregate sediment can be approximated using a simple geometric mean model in the form…”

Section: Fig 3 Plots Of Calculated Results For F(β ϕ) Versus Porosimentioning

confidence: 99%

“…Empirical formulae for relationships between thermal properties and the porosity and volume fraction of constituent minerals for marine sediments have also been investigated (Kinoshita 1994;Villinger et al 1994;Goto and Matsubayashi 2009). Because these relationships are each expressed by a simple formula, they are useful for estimating unknown properties from known properties.…”

Section: Models Of Physical and Thermal Properties Of Marine Sedimentmentioning

confidence: 99%

“…(1, 7, 9) as Goto and Matsubayashi (2009) rewrote the above formula as where Equation (14) shows that thermal diffusivity of unconsolidated marine sediment is expressed by the geometric mean model including the correction function f(β, ϕ).…”

Section: Thermal Diffusivity Modelmentioning

confidence: 99%

“…Empirical formulae connecting heat capacity and thermal diffusivity to thermal conductivity for marine sediment were developed to infer heat capacity and thermal diffusivity from existing thermal conductivity data for the sediment (Von Herzen and Maxwell 1959;Hyndman et al 1979;Goto and Matsubayashi 2008). Goto and Matsubayashi (2009) investigated the relationship of thermal properties (heat capacity, specific heat, and thermal diffusivity) with the volume fractions of the component minerals of the marine sediment recovered from the eastern flank of the Juan de Fuca Ridge to calculate their thermal properties. However, because of the limited number of direct measurements of these properties, the thermal properties of marine sediments remain poorly understood.…”

Section: Introductionmentioning

confidence: 99%

“…We suggest that the grain density, grain thermal conductivity, and grain thermal diffusivity depend In addition, the thermal conductivity of marine sediment has been predicted from its mineral composition. This has been performed using the relationship between the thermal conductivity of marine sediment and the porosity and volume fraction of the constituent minerals of the sediment (Kinoshita 1994;Villinger et al 1994;Goto and Matsubayashi 2009).…”

Section: Introductionmentioning

confidence: 99%

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Physical and thermal properties of mud-dominant sediment from the Joetsu Basin in the eastern margin of the Japan Sea

et al. 2017

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on the sediment mineral composition. Conversely, the grain heat capacity and grain specific heat showed hardly any dependency on the mineral composition. We propose empirical formulae for the relationships between: thermal diffusivity and thermal conductivity, and heat capacity and thermal conductivity for the sediment in the Joetsu Basin. These relationships are different from those for mud-dominant sediment in the eastern flank of the Juan de Fuca Ridge presented in previous work, suggesting a difference in mineral composition, probably mainly in the amount of quartz, between the sediments in that area and the Joetsu Basin. Similar studies in several areas of sediments with various mineral compositions would enhance knowledge of the influence of mineral composition.

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Section: Fig 3 Plots Of Calculated Results For F(β ϕ) Versus Porosimentioning

confidence: 99%

Section: Models Of Physical and Thermal Properties Of Marine Sedimentmentioning

confidence: 99%

Section: Thermal Diffusivity Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Physical and thermal properties of mud-dominant sediment from the Joetsu Basin in the eastern margin of the Japan Sea

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Seismic reflectivity effects from seasonal seafloor temperature variation

Wood

Martin

Jung

et al. 2014

Geophysical Research Letters

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The effects of seasonal temperature variation on sound speed contrasts at the seafloor are usually considered negligible in the analysis of seismic data but may be significant at large incidence angles (offsets) important for inversion of sediment elastic properties, or long-range acoustic transmission. In coastal areas, the maximum annual seafloor temperature variation can be several degrees Celsius or more, corresponding to a sound speed variation of 30 m/s or more. Thermal pulses propagate via conduction several meters into the seafloor resulting in a damped quasi-sinusoidal temperature profile with predictable wave number characteristics. The oscillating seasonal and spatial character of this signal creates a time-and frequency-dependent effect on the elastic seafloor reflectivity. Results of numerical simulations show that the expected temperature profile for most sediment types and porosities will have the strongest affect on frequencies between about 60 and 600 Hz, at incidence angles greater than about 50°. BackgroundSeafloor temperature in coastal areas can vary over the course of a year by several tens of degrees Celsius. This seasonal temperature variation (STV) is well documented in the World Ocean Atlas compiled for 2009 [Locarnini et al., 2010], which lists mean ocean temperatures as a function of geospatial position, depth, and month of the year. Figure 1 shows the global magnitude of the variation (warmest minus coolest monthly average) in gray scale; white to black corresponding to 0 to 8°C, respectively. The inset graph positioned over Asia shows the average and maximum STV for the entire seafloor as a function of water depth. Note that even at depths of 200 m, the variation can be as much as 8°C (±4°C about the mean). The other insets in Figure 1 show the actual variation at selected locations (arrows in Figure 1) in°C versus the 12 months of the year. The insets show that the seafloor requires somewhat longer to warm than to cool, and in the Northern Hemisphere, the highest temperature is found in September to October. Most importantly, Figure 1 shows significant geographical variability, suggesting that each location is unique. There appears to be no simple pattern that would allow accurate estimates of STV as functions of, for example, water depth or latitude.Everywhere on the seafloor the local STV propagates into the seafloor, causing a damped oscillatory temperature and sound speed profile [Jackson and Richardson, 2001]. In high-porosity coastal sediments, the STV penetrates several meters. The effects of temperature on sound speed in the water column are extremely well known [Fofonoff and Millard, 1983], as are the physics of heat and sound propagation in common sediment types [Carslaw and Jaeger, 1959;Kennett, 1983;Dvorkin et al., 1999]. Our intent here is to couple these very mature techniques to make new predictions of acoustic seafloor interaction.We will show later that the frequencies and incidence angles that are affected most by seasonal temperature variation are about ...

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Quantitative estimate of heat flow from a mid‐ocean ridge axial valley, Raven field, Juan de Fuca Ridge: Observations and inferences

et al. 2014

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Relations between the thermal properties and porosity of sediments in the eastern flank of the Juan de Fuca Ridge

Cited by 58 publications

References 19 publications

Physical and thermal properties of mud-dominant sediment from the Joetsu Basin in the eastern margin of the Japan Sea

Physical and thermal properties of mud-dominant sediment from the Joetsu Basin in the eastern margin of the Japan Sea

Seismic reflectivity effects from seasonal seafloor temperature variation

Quantitative estimate of heat flow from a mid‐ocean ridge axial valley, Raven field, Juan de Fuca Ridge: Observations and inferences

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