Introduction to seismology
Material type:
TextPublication details: New York, NY : Cambridge University Press, 2019.Edition: 3rd editionDescription: xvi, 424 pages : illustrations, maps ; 25 cmISBN: - 9781316635742
- 550.34 SHE-I
| Item type | Current library | Call number | Status | Date due | Barcode | |
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NISER LIBRARY | 550.34 SHE-I (Browse shelf(Opens below)) | Available | 26359 | ||
Book
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NISER LIBRARY | 550.34 SHE-I (Browse shelf(Opens below)) | Checked out to Sanjay Kumar (23134004) | 15/03/2026 | 23222 | |
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NISER LIBRARY | 550.34 SHE-I (Browse shelf(Opens below)) | Available | 23223 |
Includes bibliographical references (pages 403-418) and index.
This third edition provides a concise yet approachable introduction to seismic theory, designed as a first course for graduate students or advanced undergraduate students. It clearly explains the fundamental concepts, emphasizing intuitive understanding over lengthy derivations, and outlines the different types of seismic waves and how they can be used to resolve Earth structure and understand earthquakes. New material and updates have been added throughout, including ambient noise methods, shear-wave splitting, back-projection, migration and velocity analysis in reflection seismology, earthquake rupture directivity, and fault weakening mechanisms. A wealth of both reworked and new examples, review questions and computer-based exercises in MATLAB®/Python give students the opportunity to apply the techniques they have learned to compute results of interest and to illustrate Earth's seismic properties. More advanced sections, which are not needed to understand the other material, are flagged so that instructors or students pressed for time can skip them. Offers a concise yet accessible introduction to seismic theory, with a focus on the mathematical fundamentals of global seismology. Includes both revised and new examples, review questions and computational exercises, giving students the opportunity to apply the techniques they have learned to compute key results and illustrate Earth's seismic properties. Computer code examples in this book are now in MATLAB®/Python rather than in Fortran.
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