1985
DOI: 10.1111/j.1365-246x.1985.tb05079.x
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A numerical study on the determination of the 3-D structure of the lithosphere by linear and non-linear inversion of teleseismic travel times

Abstract: This paper gives the essential results of numerical simulations on the stability, uniqueness and reliability of the solution for the 3-D seismic inverse problem for the determination of lateral velocity heterogeneities in the lithosphere. The starting point of the investigations is the well known and widely used 3-D inverse method of Aki, Christoffersson & Husebye (ACH method) for the inversion of teleseismic travel times. There are several approximations inherent in the construction of the method which may bi… Show more

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Cited by 39 publications
(36 citation statements)
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“…This view has already been taken by a number of researchers, such as Koch (1985) and Nolet (1987b). A possible approach to measure this quantity is the non-linear least-squares technique; solving the problem then amounts to minimizing the least-squares norm of the misfit.…”
Section: Introductionmentioning
confidence: 85%
“…This view has already been taken by a number of researchers, such as Koch (1985) and Nolet (1987b). A possible approach to measure this quantity is the non-linear least-squares technique; solving the problem then amounts to minimizing the least-squares norm of the misfit.…”
Section: Introductionmentioning
confidence: 85%
“…For regions with higher-amplitude anomalies, a nonlinear solution could be significantly different. Early efforts at nonlinear teleseismic inversion were made by Thomson and Gubbins (1982), Koch (1985), and Nakanishi and Yamaguchi (1986). More recently, Weiland et al (1995) and VanDecar et al (1995) developed nonlinear algorithms for teleseismic tomography and applied them to Long Valley Caldera, California, and eastern Brazil, respectively.…”
Section: Linear Versus Nonlinear Solutionsmentioning
confidence: 99%
“…This means that the mimima of s(x,) are sufficiently deep and narrow to allow a discrimination between perturbed models; i.e. are able to delimit approximate confidence intervals in the model space (cf Koch 1985). For most of the structurally interesting velocity anomalies of the previous section, these intervals can be quantified as about *20 per cent of the computed velocity anomaly value.…”
Section: Reliability and Confidence Intervals For The Modelsmentioning
confidence: 98%