Estimates of effective elastic thickness at subduction zones

An, Yang; Fu, Yongtao

doi:10.1016/j.jog.2018.04.007

Cited by 13 publications

(16 citation statements)

References 31 publications

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“…The elastic plate is assumed to consist of a single layered crust of density

ρ_{c}

and thickness

Z_{c}

overlying a mantle density

ρ_{m}

, and subsurface loads are emplaced at the largest density contrast, namely the crust‐mantle boundary or Moho (e.g., Forsyth, 1985; Jiménez‐Díaz et al., 2014; Pérez‐Gussinyé et al., 2007). Here, we estimate

T_{e}

variations over the Pacific Ocean by inverting the real‐valued, free‐air admittance, as is commonly done in

T_{e}

studies of oceanic lithosphere (e.g., Hu et al., 2017, 2015; Kalnins & Watts, 2009; Yang & Fu, 2018). The admittance is an approximation of the Earth’s linear isostatic response function in terms of observed gravity and topography/bathymetry data (Audet, 2014; Forsyth, 1985; Kalnins & Watts, 2009).…”

Section: Bold-italictbold-italice Estimation and Datamentioning

confidence: 99%

“…In contrast, oceanic lithosphere is thought to behave as a single mechanical layer, where the oceanic crust is thin and usually coupled to the lithospheric mantle (Jiménez‐Díaz et al., 2014; Watts & Burov, 2003). In addition, the oceanic lithosphere has a fairly simple composition and structure, and the oceanic crust is largely devoid of radiogenic elements in comparison to continental lithosphere (Jiménez‐Díaz et al., 2014; Yang & Fu, 2018).

T_{e}

in the ocean is thought to be closely related to the lithospheric thickness inferred from cooling models, and therefore to age and thermal structure of the lithosphere (Kalnins & Watts, 2009; Watts, 2001).…”

Section: Introductionmentioning

confidence: 99%

“…Several approaches have been used to estimate oceanic

T_{e}

using bathymetry and gravity data, including 1‐D flexure modeling (e.g., Bry & White, 2007; Filmer et al., 1993; Goodwillie & Watts, 1993; Hunter & Watts, 2016; Watts et al., 2006), 3‐D flexure modeling (e.g., Manriquez et al., 2014), and 2‐D spectral methods (e.g., Bai et al., 2018; Jiménez‐Díaz et al., 2014; Kalnins & Watts, 2009; Watts, 1978; Yang & Fu, 2018). Most Pacific

T_{e}

studies focused on single geologic features, such as seamounts (e.g., Filmer et al., 1993; Goodwillie & Watts, 1993; Watts, 1978; Watts et al., 2006) or subduction zones (e.g., Bai et al., 2018; Bry & White, 2007; Hunter & Watts, 2016; Yang & Fu, 2018). Kalnins and Watts (2009) and Hu et al.…”

Section: Introductionmentioning

confidence: 99%

“…Oceanic loading models often ignore subsurface loads (e.g., Hu et al., 2015, 2017; Kalnins & Watts, 2009), which may strongly influence

T_{e}

(Forsyth, 1985). Yang and Fu (2018) first included both surface and subsurface loads to recover

T_{e}

over several subduction zones worldwide.…”

Section: Introductionmentioning

confidence: 99%

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What Controls Effective Elastic Thickness of the Lithosphere in the Pacific Ocean?

Audet

et al. 2021

JGR Solid Earth

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The effective elastic thickness (Te) of the lithosphere is a proxy for mechanical strength and can be used to constrain lithospheric rheology and understand how surface deformation relates to deep Earth processes. Here, we map Te variations over the Pacific Ocean from the inversion of the admittance between free‐air gravity anomaly and bathymetry data calculated using a continuous wavelet transform, taking both surface and subsurface loads into account. The Pacific lithosphere show Te ranging between 0 and 80 km with a mean of 13.5 km and a standard deviation of 12.3 km. We find that Te is generally poorly correlated with plate loading age, crustal age, heat flow and Curie point depth, except for relatively young (<60 Ma) and warm lithospheres. Most oceanic plateaus and seamounts show Te≤10 km, with the lowest values (<5 km) around active spreading centers. The highest Te estimates (>30 km) are found along subduction zones and around the Hawaiian‐Emperor Seamount Chain (HESC). Taken together, these results support a temperature control on Te for small loads and warm lithosphere through steady‐state creep processes, but strain hardening operating at large plastic strain and low temperature could explain high Te associated with large‐amplitude and long‐wavelength loads (subduction zones and the HESC) and should be incorporated in yield strength models of oceanic Te.

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“…The elastic plate is assumed to consist of a single layered crust of density

ρ_{c}

and thickness

Z_{c}

overlying a mantle density

ρ_{m}

T_{e}

variations over the Pacific Ocean by inverting the real‐valued, free‐air admittance, as is commonly done in

T_{e}

Section: Bold-italictbold-italice Estimation and Datamentioning

confidence: 99%

T_{e}

Section: Introductionmentioning

confidence: 99%

“…Several approaches have been used to estimate oceanic

T_{e}

T_{e}

Section: Introductionmentioning

confidence: 99%

“…Oceanic loading models often ignore subsurface loads (e.g., Hu et al., 2015, 2017; Kalnins & Watts, 2009), which may strongly influence

T_{e}

(Forsyth, 1985). Yang and Fu (2018) first included both surface and subsurface loads to recover

T_{e}

over several subduction zones worldwide.…”

Section: Introductionmentioning

confidence: 99%

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What Controls Effective Elastic Thickness of the Lithosphere in the Pacific Ocean?

Audet

et al. 2021

JGR Solid Earth

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show abstract

“…Sediment accumulation affect the lithospheric downward deflection near the trench and the amount of the subducted sediment (Contreras-Reyes et al, 2013). Moreover, the effective elastic thickness at the subduction zones of the tectonic plates has important impacts on the tectonic and geodynamic processes of the hadal trench, providing restrictions for the strength of the oceanic lithosphere (Yang & Fu, 2018).…”

Section: Fig 3 Geoid Modelling Of the Study Areamentioning

confidence: 99%

Generic Mapping Tools and Matplotlib Package of Python for Geospatial Data Analysis in Marine Geology

Lemenkova

2019

International Journal of Environment and Geoinformatics

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Understanding patterns of the correlation between the geomorphology and geology of the seafloor of the hadal trenches is important for the proper ocean modelling. Current paper focuses on the west Pacific Ocean region with a special case of Mariana Trench, the deepest hadal trench on the planet. Methodology of the research include combination of Generic Mapping Tools (GMT) and Quantum GIS based mapping of the geographic location, bathymetry, geodesy, sediment thickness, geomorphic shape, tectonic and geologic structure of the Mariana Trench area, and statistical analysis by means of Python. A GMT was selected for GIS visualization due to its powerful functionality and effective cartographic solutions. An object-oriented high-level programming language, Python was chosen for the data analysis and scientific plotting. The statistical analysis includes following steps: 1) Data distribution by the box plots; 2) Data sorting and grouping by stem plots; 3) Correlation analysis by 3D comparative plots referred to four tectonic plates; 4) Principal Component Analysis; 5) Analysis of Variance. The statistical analysis of the data set was performed in Matplotlib library and its dependencies: NumPy, SciPy and Pandas. A combination of the powerful methods by GMT with data analysis supported by Python programming language is an important method in geosciences aimed to increase the effectiveness of the data analysis by cartographic mapping, statistical computations and graph plotting. This paper illustrated usage of GMT, QGIS and Python for combined data analysis scheme. The results demonstrated correlation between the sediment thickness, slope steepness, depths and location of the bathymetric profiles crossing adjacent tectonic plates: Philippine, Pacific, Caroline and Mariana.

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Tectonic control on effective elastic thickness over the Northeast Indian Seamount Province and surrounding regions

Afelumo

Akinrinade

2021

Mar Geophys Res

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Estimates of effective elastic thickness at subduction zones

Cited by 13 publications

References 31 publications

What Controls Effective Elastic Thickness of the Lithosphere in the Pacific Ocean?

What Controls Effective Elastic Thickness of the Lithosphere in the Pacific Ocean?

Generic Mapping Tools and Matplotlib Package of Python for Geospatial Data Analysis in Marine Geology

Tectonic control on effective elastic thickness over the Northeast Indian Seamount Province and surrounding regions

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