Seismology

🌋Seismology Unit 12 – Seismic Tomography and Earth's Interior

Seismic tomography uses earthquake waves to create 3D images of Earth's interior. By analyzing how these waves travel, scientists map variations in velocity, revealing the structure and composition of our planet's hidden layers. This technique has revolutionized our understanding of Earth's inner workings. It helps identify subducting slabs, mantle plumes, and other features, providing crucial insights into plate tectonics, mantle convection, and the planet's thermal and chemical evolution.

Key Concepts and Terminology

  • Seismic waves: Elastic waves generated by earthquakes or artificial sources that propagate through the Earth's interior
  • P-waves (primary waves): Compressional waves that travel fastest and can pass through solids, liquids, and gases
  • S-waves (secondary waves): Shear waves that travel slower than P-waves and can only pass through solids
  • Seismic velocity: Speed at which seismic waves propagate through a medium, dependent on the material's elastic properties and density
  • Seismic ray path: The path taken by a seismic wave as it travels through the Earth's interior, which can be bent or refracted due to changes in velocity
  • Seismic attenuation: The loss of energy as seismic waves propagate through the Earth, caused by absorption and scattering
  • Seismic anisotropy: The variation of seismic velocity with the direction of wave propagation, often due to the alignment of minerals or the presence of fractures
  • Seismic heterogeneity: Variations in seismic velocity within the Earth's interior, which can be mapped using seismic tomography

Fundamentals of Seismic Waves

  • Seismic waves are generated by the sudden release of energy during earthquakes or artificial sources (explosions, vibroseis)
  • P-waves compress and expand the material they pass through, causing volume changes
    • P-wave velocity (VpV_p) is given by: Vp=K+43μρV_p = \sqrt{\frac{K + \frac{4}{3}\mu}{\rho}}, where KK is the bulk modulus, μ\mu is the shear modulus, and ρ\rho is the density
  • S-waves cause shearing motion perpendicular to the direction of wave propagation
    • S-wave velocity (VsV_s) is given by: Vs=μρV_s = \sqrt{\frac{\mu}{\rho}}
  • Surface waves (Rayleigh and Love waves) travel along the Earth's surface and are characterized by lower velocities and larger amplitudes compared to body waves
  • Seismic waves are reflected, refracted, and converted at boundaries between materials with different elastic properties
  • Seismic wave propagation is affected by the temperature, pressure, and composition of the Earth's interior
  • Seismic attenuation is frequency-dependent, with higher frequencies attenuating more rapidly than lower frequencies

Seismic Tomography Techniques

  • Seismic tomography is a technique that uses seismic wave travel times to create 3D images of the Earth's interior velocity structure
  • Travel time tomography: Uses the arrival times of seismic waves to infer velocity variations along the ray paths
    • Involves solving an inverse problem to determine the velocity model that best fits the observed travel times
  • Waveform tomography: Uses the full waveform of seismic signals to extract more detailed information about the Earth's interior
    • Considers the amplitude and phase of seismic waves, allowing for higher resolution images
  • Fresnel volume tomography: Takes into account the finite-frequency nature of seismic waves and the volume of sensitivity around the ray path
  • Adjoint tomography: Uses numerical simulations of seismic wave propagation and compares them with observed waveforms to iteratively improve the velocity model
  • Seismic anisotropy can be incorporated into tomographic models to account for directional variations in velocity
  • Joint inversion techniques combine seismic data with other geophysical data (gravity, electromagnetic) to further constrain the Earth's interior structure

Earth's Interior Structure

  • The Earth's interior is divided into the crust, mantle, outer core, and inner core based on seismic velocity variations
  • The crust is the outermost layer, with a thickness of ~5-70 km and P-wave velocities of ~5-7 km/s
    • Continental crust is thicker (~30-70 km) and more felsic compared to oceanic crust (~5-10 km)
  • The mantle extends from the base of the crust to a depth of ~2900 km, with increasing P-wave velocities from ~8 km/s to ~13 km/s
    • The upper mantle includes the lithosphere and asthenosphere, with a low-velocity zone at ~100-200 km depth
    • The transition zone (~410-660 km depth) is characterized by sharp velocity increases due to mineral phase transitions
    • The lower mantle extends from ~660 km to the core-mantle boundary at ~2900 km depth
  • The outer core is a liquid layer with a thickness of ~2200 km and P-wave velocities of ~8-10 km/s
    • S-waves cannot propagate through the outer core, indicating its liquid state
  • The inner core is a solid layer with a radius of ~1220 km and P-wave velocities of ~11-12 km/s
    • The inner core exhibits seismic anisotropy, with faster velocities along the Earth's rotation axis

Data Collection and Processing

  • Seismic data is collected by a network of seismometers that record ground motion as a function of time
    • Seismometers can be deployed on land, on the ocean bottom, or in boreholes
  • Seismic sources can be natural (earthquakes) or artificial (explosions, vibroseis)
    • Earthquake locations and magnitudes are determined using seismic data from multiple stations
  • Raw seismic data is processed to remove noise, instrument response, and other artifacts
    • Filtering techniques (bandpass, lowpass, highpass) are used to isolate specific frequency ranges of interest
  • Seismic phases (P, S, surface waves) are identified and picked on seismograms to determine their arrival times
    • Automated picking algorithms and manual picking by analysts are used to ensure accurate arrival time measurements
  • Seismic data is quality-controlled and compiled into databases for use in tomographic studies
    • Data from multiple seismic networks and sources are often combined to improve coverage and resolution
  • Seismic data processing also involves the calculation of source parameters (location, magnitude, focal mechanism) and the correction for path effects (attenuation, site response)

Interpretation of Tomographic Images

  • Tomographic images represent the 3D velocity structure of the Earth's interior
    • High-velocity anomalies indicate colder, denser, or compositionally distinct regions
    • Low-velocity anomalies suggest hotter, less dense, or partially molten regions
  • Velocity anomalies are often interpreted in terms of temperature variations, compositional differences, or the presence of fluids or melt
  • Subducting slabs are imaged as high-velocity anomalies that penetrate into the mantle
    • Slab geometry and depth of penetration provide insights into subduction dynamics and mantle convection
  • Mantle plumes are imaged as low-velocity anomalies that originate from the core-mantle boundary and rise through the mantle
    • Plumes are thought to be responsible for hotspot volcanism (Hawaii, Iceland) and large igneous provinces
  • Seismic anisotropy in tomographic images can reveal patterns of mantle flow and deformation
    • Alignment of olivine crystals in the upper mantle can cause seismic anisotropy, with faster velocities parallel to the flow direction
  • Tomographic images are often compared with results from geodynamic simulations and other geophysical data to develop integrated models of Earth's interior dynamics

Applications in Geophysics

  • Seismic tomography is used to study the structure and evolution of the Earth's interior at various scales
    • Global tomography provides a broad overview of mantle heterogeneity and large-scale tectonic features
    • Regional tomography focuses on specific areas of interest (subduction zones, rift systems, cratons) to image smaller-scale structures
  • Tomographic models are used to constrain the temperature, composition, and physical state of the Earth's interior
    • Velocity variations can be related to temperature and composition using mineral physics data and equations of state
  • Seismic tomography is combined with other geophysical data (gravity, geoid, topography) to study the dynamics of the Earth's interior
    • Mantle convection patterns, plate driving forces, and the coupling between the lithosphere and asthenosphere can be investigated
  • Tomographic images are used to guide the exploration and characterization of natural resources
    • Hydrocarbon reservoirs, geothermal systems, and mineral deposits can be identified based on their seismic velocity signatures
  • Seismic hazard assessment and risk mitigation efforts rely on tomographic models to understand the distribution of seismic velocities and potential earthquake sources
    • Ground motion predictions and seismic microzonation studies use velocity models to estimate site-specific seismic hazards

Limitations and Future Directions

  • Seismic tomography is limited by the uneven distribution of seismic sources and receivers, resulting in variable resolution and coverage
    • Improving the global seismic network and deploying dense temporary arrays can help mitigate this issue
  • The resolution of tomographic images is limited by the wavelength of seismic waves and the density of ray paths
    • Developing advanced waveform imaging techniques and exploiting high-frequency data can improve resolution
  • Tomographic models are non-unique, meaning that different velocity models can explain the same seismic data equally well
    • Incorporating additional constraints from mineral physics, geodynamics, and other geophysical data can reduce model ambiguity
  • Seismic anisotropy and attenuation are often neglected or simplified in tomographic studies, leading to potential biases in velocity estimates
    • Developing more sophisticated anisotropic and attenuation models is an active area of research
  • Computational limitations and the high cost of numerical simulations can hinder the development of high-resolution, full-waveform tomographic models
    • Advances in high-performance computing and the use of machine learning techniques can help overcome these challenges
  • Future directions in seismic tomography include the integration of multi-scale, multi-parameter, and time-dependent imaging techniques to capture the complex dynamics of the Earth's interior
    • Joint inversion of seismic, gravity, electromagnetic, and geochemical data will provide a more comprehensive understanding of Earth's structure and evolution


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© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.