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List of Figures

  1. Theoretical array responses for 25 sensors
  2. Theoretical array responses for 10 sensors
  3. Reference model for refraction synthetic traveltime-distance plot
  4. Inversion of synthetic traveltime-distance plot
  5. Theoretical array responses for a line of sensors
  6. Example of a f-k analysis for triggered surface waves
  7. Definition of an inversion problem
  8. Voronoi cells for a two-dimensional parameter space
  9. Comparison of variable transformation and selection methods
  10. High level condition intersection with Voronoi cells
  11. Schematic one-dimensional model
  12. Values taken by $ l_{21}(z_0)$
  13. Values taken by $ R_{1212}(z_0)$
  14. Velocity limits of Love and Rayleigh dispersion curves
  15. Method for bracketing roots.
  16. Method for refining roots
  17. Dispersion curve of a model with a LVZ.
  18. Two layers: influence of $ V_{s0}$ with a constant $ V_p$ profile
  19. Two layers: influence of $ V_{s0}$ with a constant Poisson's ratio
  20. Two layers: influence of $ V_{p0}$
  21. Two layers: influence of $ z_1$
  22. Two layers: influence of $ z_1$ for $ V_s$ profile
  23. Two layers: influence of $ z_1$ for $ V_p$ profile
  24. Two layers: influence of $ \rho _0$
  25. Two layers: influence of $ V_{s1}$ with a constant $ V_p$ profile
  26. Two layers: influence of $ V_{p1}$
  27. Two layers: influence of $ \rho _1$
  28. Three layers: influence of $ V_{s1}$ with a constant Poisson's ratio
  29. Three layers: equivalent two-layer model at high frequency
  30. Three layers: influence of $ V_{p1}$
  31. Ellipticity 2 layers: influence of $ V_{s0}$ with a constant $ V_p$ profile
  32. Ellipticity 2 layers: influence of $ V_{s0}$ with a constant Poisson's ratio
  33. Ellipticity 3 layers: influence of $ V_{s1}$ with a constant Poisson's ratio
  34. Auto-correlation, azimuth-inter-distance plot example
  35. Auto-correlation: influence of $ V_{s0}$ with a constant Poisson's ratio
  36. Theoretical case for testing parameterizations
  37. Inversion of the full dispersion curve with a two-layer model
  38. Inversion with a two-layer model: variation of the minimum misfit
  39. Inversion with a two-layer model: parameter space
  40. Inversion with a two-layer model: velocity profiles
  41. Inversion with a three-layer model over a broad frequency range
  42. Inversion with a three-layer model over a restricted frequency range
  43. Inversion with a three-layer model over a low frequency range
  44. Inversion with a three-layer model with prior depth
  45. Inversion with a three-layer model at high frequency with prior depth
  46. Inversion with a three-layer model with prior $ V_p$
  47. Inversion with a three-layer model at high frequency with prior $ V_p$
  48. Inversion with a N-layer model accepting LVZ ($ V_s$ only)
  49. Inversion with a N-layer model accepting LVZ ($ V_p$ and $ V_s$ )
  50. Inversion with a N-layer model rejecting LVZ by the diagonal method
  51. Comparison of a three-layer and N-layer inversions
  52. Inversion with a three-layer model with heterogeneous layers
  53. Inversion with a three-layer model with heterogeneous layers
  54. Comparison of three type of parameterizations
  55. Inversion of first higher mode alone: no prior information
  56. Inversion of first higher mode alone: depth between 1 and 20 m/s
  57. Inversion of the fundamental mode alone
  58. Inversion of the fundamental and the first higher mode
  59. Inversion of the fundamental and the first higher mode: narrow band
  60. Joint inversion of the Love and Rayleigh fundamental modes
  61. Composite dispersion curve
  62. Inversion of the composite curve assuming fundamental mode
  63. Inversion of the composite curve with mode identification(a)
  64. Inversion of the composite curve with mode identification(b)
  65. Reference model for auto-correlation inversion
  66. Grids in frequency-slowness for auto-correlation pre-processing
  67. Inversion of the auto-correlation curves
  68. Inversion of the ellipticity alone
  69. Join inversion of the dispersion curve and the ellipticity peak
  70. Theoretical model for synthetic ambient vibrations
  71. Spectral curves of the central station of array A to C
  72. Array geometries and their f-k responses
  73. Single source wavefield: signals
  74. Single source wavefield: influence of window length
  75. Single source wavefield: f-k for arrays A and C
  76. Single source wavefield: array responses at 6.5 Hz
  77. f-k analysis for array C: influence of window length
  78. f-k analysis for array A and B
  79. Average dispersion from f-k analysis
  80. Inversion of average dispersion from f-k analysis
  81. High resolution analysis for arrays A, B and C
  82. Inversion of dispersion curves from high resolution analysis
  83. Influence of time window lengths on auto-correlation curves
  84. Azimuth-inter-distance plot
  85. Calculated and selected auto-correlation samples
  86. Grids in frequency-slowness for auto-correlation pre-processing
  87. Inversion of auto-correlation curves
  88. Inversion of Love and Rayleigh fundamental modes
  89. Local map of the test site
  90. Recorded signals for East-West $ P-S_V$ refraction line
  91. Refraction results for profile East-West
  92. Refraction results for profile North-South
  93. Triggered surface waves along $ P-S_V$ profiles: spectra
  94. Triggered surface waves along $ P-S_V$ profiles: f-k analysis
  95. Refraction results for $ S_H$ profile
  96. Array geometries
  97. Spectral curves of the central station
  98. Theoretical array response
  99. Results of the frequency-wavenumber method
  100. Average of apparent dispersion curves
  101. Inversion of the average dispersion curve
  102. Inversion of the average dispersion curve and ellipticity peak
  103. Results of the high resolution frequency-wavenumber method
  104. Calculated and selected auto-correlation samples
  105. Azimuth-inter-distance plot
  106. Grids in frequency-slowness for auto-correlation pre-processing
  107. Inversion of auto-correlation curves
  108. Prior information carried by parameterization: LVZ
  109. Prior information carried by parameterization: velocity jump
  110. Prior information carried by parameterization: interpolation
  111. Prior information carried by parameterization: random interpolation
  112. Prior information carried by parameterization: bissection
  113. Prior information carried by parameterization: diagonal
  114. Prior information carried by parameterization: scaled diagonal
  115. Prior information carried by parameterization: scaled interpole


2007-03-15