Using the Morris sensitivity analysis method to assess the importance of input variables on time-reversal imaging of seismic sources

Abstract

The time-reversal imaging method has become a standard technique for seismic source location using both acoustic and elastic wave equations. Although there are many studies on the determination of the relevant parameter for visualization of the time-reversal method, little has been done so far to investigate the accuracy of seismic source location depending on parameters such as the geometry of the seismic network or underestimation of the velocity model. This paper investigates the importance of the accuracy of seismic source location using the time-reversal imaging method of input variables such as seismic network geometry and the assumed geological model. For efficient visualization of seismic wave propagation and interference, peak-to-average power ratio was used. Identification of the importance of variables used in seismic source location was obtained using the Morris elementary effect method, which is a global sensitivity analysis method.

Applicability evaluation of a demand-controlled ventilation system in livestock

“… where denotes a set of input variables, y denotes the simulation result according to the input variables, and Δ denotes the change in the input variables. The finding of an existing study indicate that the best performance is obtained under conditions of 10 samplings (r = 10) and four changing stages of input variables (p = 4) ( Franczyk, 2019 ).…”

A dynamic process for evaluating the reliability of fossil power plant assets

“…The Morris method is a specialized randomized OAT that is a global sensitivity analysis method. In the Morris method, each input variable is changed by the same relative amount 30 . On the other hand, Sabol indices method factors the variance of the output of the system into fractions, which can be assigned to inputs.…”

“…In the Morris method, each input variable is changed by the same relative amount. 30 On the other hand, Sabol indices method factors the variance of the output of the system into fractions, which can be assigned to inputs. The primary use of Sabol indices is quantifying the importance of variables.…”

“…The primary use of Sabol indices is quantifying the importance of variables. 30 Sabol indices are used to evaluate either a single variable or a set of variables. Sabol indices are estimated by calculating the output uncertainties by sampling from the distributions of the input variables through a function.…”

Sensitivity analysis of the convective‐scale AROME model to physical and dynamical parameters

“…Furthermore, another noticeable advantage of the Morris approach is that it does not require any specific assumption on output monotony properties or parameters' influence. This method has been successfully applied to various complex models such as physics-based battery (van Rensburg et al, 2019), building energy budget (Sanchez et al, 2014;Branger et al, 2015;Yang et al, 2016), seismic sources location (Franczyk, 2019), wastewater model (Ruano et al, 2011;Cosenza et al, 2013;Vanrolleghem et al, 2015), hydrothermal of embankment dam (Ren et al, 2019), combat (Alam et al, 2004), agronomics (Confalonieri et al,, 2010a;2010b), and medicine (Wu et al, 2013;Link et al, 2018). In atmospheric sciences, this screening method has been applied to a climate model (Covey et al, 2013) and NWP models (Di et al, 2015;2017;Quan et al, 2016).…”