Modelling techniques for volumetric reconstruction of earth structures |
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| Institution: | 1. Department of Computer Science, CPS, University of Zaragoza, Spain;2. Seismology Group, University of Zaragoza, Spain;1. Dipartimento di Biotecnologie e Scienze della Vita, Università degli studi dell’Insubria, via J.H. Dunant 3, 21100, Varese, Italy;2. The Protein Factory, Centro Interuniversitario di Biotecnologie Proteiche, Politecnico di Milano and Università degli studi dell’Insubria, Milano, Italy;3. Department of Genetics and Microbiology, University of Murcia, Murcia, Spain;1. CEA, DEN, DANS, DM2S, SEMT, Laboratoire d’Etudes de Mécanique Sismique, F-91191 Gif-sur-Yvette, France;2. EDF, DR&D, Acoustics and Mechanical Analysis Department, 1, avenue du Général de Gaulle, F-92141 Clamart, France;3. EDF, SEPTEN, Dynamic and Earthquake Engineering Group, 12-14, avenue Dutriévoz, F-69628 Villeurbanne, France;4. Institute of Mechanical Sciences and Industrial Applications, EDF-CNRS-CEA-ENSTA UMR 9219, 1, avenue du Général de Gaulle, F-92141 Clamart, France;1. School of Civil Engineering and Geosciences, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK;2. Department of Earth Sciences, Durham University, Durham DH1 3LE, UK;3. University of Leeds, LS2 9JT, UK;1. Institute of Geology, China Earthquake Administration, Beijing 100029, China;2. China Earthquake Networks Center, Beijing 100045, China;3. Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China;4. First Crust Monitoring and Application Center, China Earthquake Administration, Tianjin 300180, China;1. Department of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore;2. School of Civil Engineering, Shaoxing University, Shaoxing, Zhejiang 312000, PR China;3. Texas A&M Transportation Institute, Texas A&M University, 402 Harvey Mitchell Parkway South, College Station, TX 77845, USA |
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| Abstract: | Visualisation of seismic and tomographic results is a crucial point to properly understand the models provided by seismic methods. We consider several geostatistical methods (inverse distance weighting, point kriging and mathematical wavelets) to map surface wave tomography in a sparsely sampled study area, and to compare their accuracy and efficiency with proper raypath methodologies (inversion and projection onto convex sets). A large set of synthetic data is used to estimate seismic velocities before application to real data. The contour maps of prediction errors indicate that spatial prediction and inversion perform similarly. |
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