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Seismic Tomography

Name: Seismic Tomography
Brand: Springer
SKU: 9789027725837
Price: 826.09 RON
Availability: InStock

With Applications in Global Seismology and Exploration Geophysics

Autor: G. Nolet

Limbă:

Legare: Carte broșată

Editura: Springer

Disponibilitate: În depozitul extern

Expediem în 5-8 zile

826.09 lei

Methods to eonstruet images of an objeet from "projeetions" of x-rays, ultrasound or eleetromagnetie...

Informații despre carte

Autor

G. Nolet

Limbă

engleză

Legare

Carte - Carte broșată

Pagini

386

EAN

9789027725837

ISBN

9027725837

Enbook ID

02170640

Editura

Springer

Greutate

572

Dimensiuni

236 x 157 x 26

Descriere completă

Methods to eonstruet images of an objeet from "projeetions" of x-rays, ultrasound or eleetromagnetie waves have found wide applieations in eleetron mieroseopy, diagnostie medicine and radio astronomy. Projeetions are measurable quantities that are a funetiona- usually involving a line integral - of physieal properties of an objeet. Convolutional methods, or iterative algorithms to solve large systems of linear equations are used to reeonstruet the objeet. In prineiple, there is no reasan why similar image reeonstruetions ean not be made with seismie waves. In praetiee, seismic tomography meets with a number of diffieulties, and it is not until the last deeade that imaging of transmitted seismie waves has found applicatian in the Earth sciences. The most important differenee between global seismie tomography and mare eonventional applieations in the laboratory is the faet that the seismologist is eonfronted with the lack of anything resembling a well-eontrolled experimental set-up. Apart from a few nuelear tests, it is not in our power to locate or time seismie events. Apart from a few seabattom seismographs, our sensors are located on land -and even there the availability of data depends on eultural and politieal factors. Even in exploratian seismics, praetieal faetors such as the east of an experiment put strong limitations on the eompleteness of the data set.