Shear-wave velocity ( ) is an important parameter used for site characterization in geotechnical engineering. However, dispersion curve inversion is challenging for most inversion methods due to its high non-linearity and mix-determined trait. In order to overcome these problems, in this study, a joint inversion strategy is proposed based on the particle swarm optimization (PSO) algorithm. The ...

Magnetometry has emerged as an effective tool for UXO discrimination. The current approach is based upon the magnetic dipole moment recovered from the inversion of surface total-field magnetic anomalies. However, the reliability of inversion will be strongly influenced by the noise in the data such as that produced by magnetic soils in the background geology. We examine this problem to understa...

Reliable prediction of subsurface flow and contaminant transport depends on the accuracy with which the values and spatial distribution of process-relevant model parameters can be identified. Successful characterization methods for complex soil systems are based on (1) an adequate parameterization of the subsurface, capable of capturing both random and structured aspects of the heterogeneous sy...

Many methods for numerically inverting transforms require values of the transform at complex arguments. However, in some applications, the transforms are only characterized implicitly via functional equations. This is illustrated by the busy-period distribution in the M / G / 1 queue. In this paper we provide conditions for iterative methods to converge for complex arguments. Moreover, we show ...

Groundwater flow depends on subsurface heterogeneity, which often calls for categorical fields to represent different geological facies. The knowledge about is however limited and provided indirectly by state variables, such as hydraulic heads of contaminant concentrations. In cases, solving a inverse problem an important step in modeling. this work, we present compare three recent frameworks: ...

A first inversion of the backscatter profile and extinction-to-backscatter ratio from pulsed elastic-backscatter lidar returns is treated by means of an extended Kalman filter (EKF). The EKF approach enables one to overcome the intrinsic limitations of standard straightforward nonmemory procedures such as the slope method, exponential curve fitting, and the backward inversion algorithm. Whereas...