P. Schmoldt, PhD - MTNet - DIAS

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9. Data collection and processing Parameter Value Intervals per decade 4 Step width along profile ≈ 5.5. km Interpolation radius 7 Spline weight 7 Smoothing factor 7 Tab. 9.4.: Gridding parameters used to create the pseudo-sections (Figs. 9.12 and 9.13) from the PICASSO Phase I datasets at the LAB, are mistaken for 2D structural strike (cf. Sec. 4.1.3). 9.6.2. Decomposition of the impedance tensor The aim of this study is, among others, the investigation of lithospheric-mantle structures. Therefore, two datasets are derived through decomposition of the original dataset: one according to the geoelectric strike of the crust (N40.9W), and a second according to the geoelectric strike direction of the Tajo Basin mantle (N29.4E). No further separation of the mantle is made, e.g. into lithospheric and asthenospheric regions, owing to the lower resolution to structures below the LAB. The two resulting datasets can be used for separate inversion during investigation of crust and mantle structures (Ch. 10). After geoelectric strike directions for crust and mantle of the Tajo Basin are determined, common distortion parameters for each region are derived for the stations associated with the basin (pic001 – pic020), using the program strike by McNeice and Jones [2001]. Therein, parameters are derived in the Niblett-Bostick depth range (cf. Sec. 6.3.1) 0.003 m to 30 km and 35 km to 350 km, related to crust and mantle regions, respectively. Resulting parameters are used to decompose the impedance tensor of each station into TE and TM mode contributions, wherein uncertainty levels are determined on a statistical base. 9.7. Analysis of TE and TM mode response data Data of the TE and TM mode can be visualised by so-called ‘pseudo-sections’. Pseudosections are obtained through gridding of MT station period–resistivity (and period– phase) data under consideration of the station locations along the profile. For the PI- CASSO Phase I profile pseudo-sections are created for TE and TM modes of both, the dataset decomposed for the crustal strike direction (N40.9W, Figure 9.12) and the dataset decomposed for the mantle strike direction (N29.4E, Figure 9.13). Parameters used for the gridding are summarised in Table 9.4. The pseudo-sections from the dataset decomposed in respect to the crustal geoelectric strike direction will in the following be referred-to as ‘crustal strike pseudo-sections’, whereas the opposite case will be referred to as ‘mantle strike pseudo-sections’ (Fig. 9.13). 218
Pseudo-sections crustal strike direction TE mode TM mode N N S S a b b a a c a c d 9.7. Analysis of TE and TM mode response data b b c c d d Fig. 9.12.: Pseudo-section of PICASSO Phase I data for a profile with an orientation orthogonal to the crustal geoelectric strike direction (N40.9W) and respective decomposition of the dataset. TE mode data are plotted on the left-hand side, TM mode data on the right-hand side; apparent resistivity is plotted on the top, impedance phase on the bottom. Note that the apparent resistivity colour ranges are set to fit values of the individual mode, thus differ between modes. Black dots indicate at which periods apparent resistivity and phase estimates are used at each station. 219
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Multidimensional isotropic and anis
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Contents 2.3. Deviation from plane
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Contents 8.3. Inversion of 3D model
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List of Figures 2.1. Amplitude of t
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List of Figures 4.17. Visual repres
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List of Figures 8.2. Ambient noise
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List of Figures 10.10.RMS misfit va
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List of Figures A.15.Result of anis
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List of Tables xviii 5.5. Parameter
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List of Acronyms FE finite element
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List of Symbols Below is a list of
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Symbol SI unit Denotation φ · pha
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Abstract The Tajo Basin and Betic C
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Publications Poster presentations x
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Acknowledgements Team, namely Colin
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Introduction 1 The Iberian Peninsul
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ections from enhanced one-dimension
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Part I Theoretical background of ma
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2. Sources for magnetotelluric reco
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Mathematical description of electro
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yields 3.2. Deriving magnetotelluri
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3.2. Deriving magnetotelluric param
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3.3. Magnetotelluric induction area
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Depth d s d 1 d 2 d n-2 d n-1 t 1 t
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3.4. Boundary conditions materials
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3.5. The influence of electric perm
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Distortion of magnetotelluric data
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4.1. Types of distortion Fig. 4.1.:
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J s 0 s 0 4.1. Types of distortion
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Scale Type Terminology Example Atom
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4.1. Types of distortion the use of
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4.2. Dimensionality Fig. 4.12.: The
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1D 2D local 3D/1D 3D/2D regional 4.
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4.3. General mathematical represent
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4.4. Removal of distortion effects
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Parameter Geoelectrical application
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4.4.5. Caldwell-Bibby-Brown phase t
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Method Applicability Swift angle 2D
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5. Earth’s properties observable
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6. Using magnetotellurics to gain i
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Part II Geology of the study area I
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7. Geology of the Iberian Peninsula
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Page 205 and 206: Recovering a synthetic 3D subsurfac
Page 207 and 208: direction direction Depth: 12 - 30
Page 209 and 210: 8.2. Generating synthetic 3D model
Page 211 and 212: Distance from the centre of the mes
Page 213 and 214: 3D N45W 3D-crust TE Rho TE Phi Peri
Page 215 and 216: 8.3. Inversion of 3D model data sch
Page 217 and 218: Model variation RMS misfit Optimal
Page 219 and 220: Profile: 3D-crust (TM-only) Depth (
Page 221 and 222: Parameter Value 8.3. Inversion of 3
Page 223 and 224: Depth (km) 10 -2 10 -1 10 0 10 1 10
Page 225 and 226: Depth (km) 10 -2 10 -1 10 0 10 1 10
Page 227 and 228: Step 1: Isotropic 2D inversion Step
Page 229 and 230: 8.3. Inversion of 3D model data par
Page 231 and 232: 8.4. Summary and conclusions bution
Page 233 and 234: Regularisation order Smoothing para
Page 235 and 236: S N 1% 0 Depth (km) 3% Depth (km) 1
Page 237 and 238: 9.1. Profile location Data collecti
Page 239 and 240: Location (degrees) Recording period
Page 241 and 242: Geological region Stations Geologic
Page 243 and 244: 9.4. Segregation of data acquired w
Page 245 and 246: Phase (degrees) 135 90 45 0 Z xy -4
Page 247 and 248: 0 km 10 km 30 km 100 km 300 km Dept
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Page 257 and 258: 9.8. Analysis of vertical magnetic
Page 259: 9.8. Analysis of vertical magnetic
Page 262 and 263: 10. Data inversion WinGLink softwar
Page 264 and 265: a (horizontal smoothing) 10. Data i
Page 266 and 267: 10. Data inversion Short period ran
Page 268 and 269: 10. Data inversion TM+TE Depth (km)
Page 270 and 271: 10. Data inversion (a) Constrained
Page 272 and 273: 10. Data inversion the model into u
Page 274 and 275: 10. Data inversion Depth (km) S N 0
Page 276 and 277: Depth (km) 10. Data inversion S N 0
Page 278 and 279: 10. Data inversion Group velocity m
Page 280 and 281: 10. Data inversion ductivity of thi
Page 282 and 283: 10. Data inversion Shtrikman upper
Page 288 and 289: 10. Data inversion in the lithosphe
Page 290 and 291: 10. Data inversion isotropic 2D lay
Page 292 and 293: 10. Data inversion Depth (km) Depth
Page 298 and 299: 10. Data inversion tigation is usua
Page 300 and 301: Depth (km) Depth (km) 10. Data inve
Page 302 and 303: Modelled Observed Modelled Observed
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Depth (km) 10. Data inversion 0 30
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10. Data inversion Depth off LAB (k
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10. Data inversion Depth (km) S 0 5
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10. Data inversion 10.3. Summary an
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10. Data inversion owing to availab
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11 Summary and conclusions The key
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11.2. PICASSO Phase I investigation
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A. Appendix Eocene 54 Ma 42 Ma 36 M
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A. Appendix A.2. Auxiliary informat
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A. Appendix 292 Fig. A.3.: Issues i
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A. Appendix A.2.4. Computation time
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296 3D-mantle profile Inversion res
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298 07-centre profile The profile 0
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300 3D-crust profile The profile 3D
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302 J-centre profile The J-centre p
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A. Appendix Anisotropy Resistivity
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A. Appendix A.4. Auxiliary figures
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A. Appendix 314 ρ TE(Ω−m) φ T
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A. Appendix 320 pic003 (off-diagona
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A. Appendix 322 pic013 (off-diagona
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Bibliography Abalos, B., J. Carrera
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Bibliography Artemieva, I. M. (2006
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Bibliography Berdichevsky, M., V. D
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Bibliography Cebriá, J.-M., and J.
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Bibliography de Vicente, G., J. Gin
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Bibliography Egbert, G. D., and J.
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Bibliography Ganapathy, R., and E.
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Bibliography Haak, V., and R. Hutto
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Bibliography Hutton, R. (1972), Som
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Bibliography Jones, A. G., and R. W
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Bibliography Kurtz, R. D., J. A. Cr
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Bibliography Lviv Centre of Institu
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Bibliography Merrill, R. T., and M.
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Bibliography Newman, G., and G. Hoh
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Bibliography Pádua, M. B., A. L. P
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Bibliography Prácser, E., and L. S
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Bibliography Ritter, J. R. R., M. J
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Bibliography Serson, P. H. (1973),
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Bibliography Spitzer, K. (2006), Ma
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Bibliography Tikhonov, A. N., and V
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Bibliography Wanamaker, B. J., and
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Bibliography Xu, Y., C. McCammon, a
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P. Schmoldt, PhD - MTNet - DIAS

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