Buxton, R. 2022 An investigation of surrogate modelling in multi-hazards. Lower Hutt, N.Z.: GNS Science. GNS Science report 2021/53. 35 p.; doi: 10.21420/74PJ-ES25
Abstract
The aim of this work is to review the use of surrogate modelling in the field of tsunami modelling or similar fields involving complex non-linear systems such as those involving Computational Fluid Dynamics or Partial Differential Equations. This study discuses some of the main concepts in order to add context but the main part of the work concentrates on publications of interest where the abstract and/or conclusions of the publications are quoted directly for accuracy. The author does not claim that this is an exhaustive treatment of the stated subject however, hopefully it provides enough background to be useful. (auth)