Title

Selection of Geophysical Methods based on Matter-Element Analysis with Analytic Hierarchy Process

Abstract

The selection of the most appropriate method(s) for a specific engineering geophysical site characterisation can be challenging due to the complexity and potential ambiguity of the factors influencing the utility and cost-effectiveness of the methods. This paper, using matter-element analysis techniques with analytic hierarchy process (AHP), proposes a demonstration matter-element model for selecting the most appropriate geophysical methods, and establishes the general flow and calculation process for geophysical method selection. On the basis of the analysis of the factors influencing the utility and cost-effectiveness of geophysical methods, an evaluation criteria system is constructed. To demonstrate the application of this process, the proposed matter-element geophysical methods selection mode is applied to the selection of geophysical methods for an engineering geophysical site characterisation project that ultimately involved the acquisition of electrical resistivity tomography (ERT), multichannel analysis of surface wave data (MASW) and ground penetrating radar (GPR). The optimal results, based on the matter-element model, indicate the recommended geophysical methods are consistent with the field methods ultimately employed. The research proposes a new quantitative and objective computing approach to the selection of geophysical methods. The matter-element model can minimise subjective influences to a certain extent, and is conducive to enhancing the utility and cost-effectiveness of a geophysical survey.

Department(s)

Geosciences and Geological and Petroleum Engineering

Comments

This work was supported by the National Key R&D Program of China (2017YFC0602905), Fundamental Research Funds for the Central Universities (N150104007).

Keywords and Phrases

Electrical Resistivity; GPR; Optimisation; Surface Wave

International Standard Serial Number (ISSN)

1834-7533; 0812-3985

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2021 CSIRO Publishing, All rights reserved.

Publication Date

08 Feb 2021

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