Articles | Volume 16, issue 6
https://doi.org/10.5194/nhess-16-1449-2016
https://doi.org/10.5194/nhess-16-1449-2016
Research article
 | 
17 Jun 2016
Research article |  | 17 Jun 2016

An approach using multi-factor combination to evaluate high rocky slope safety

Huaizhi Su, Meng Yang, and Zhiping Wen

Abstract. A high rocky slope is an open complex giant system for which there is contradiction among different influencing factors and coexistence of qualitative and quantitative information. This study presents a comprehensive intelligent evaluation method of high rocky slope safety through an integrated analytic hierarchy process, extension matter element model and entropy weight to assess the safety behavior of the high rocky slope. The proposed intelligent evaluation integrates subjective judgments derived from the analytic hierarchy process with the extension matter model and entropy weight into a multiple indexes dynamic safety evaluation approach. A combined subjective and objective comprehensive evaluation process, a more objective study, through avoiding subjective effects on the weights, and a qualitative safety assessment and quantitative safety amount are presented in the proposed method. The detailed computational procedures were also provided to illustrate the integration process of the above methods. Safety analysis of one high rocky slope is conducted to illustrate that this approach can adequately handle the inherent imprecision and contradiction of the human decision-making process and provide the flexibility and robustness needed for the decision maker to better monitor the safety status of a high rocky slope. This study was the first application of the proposed integrated evaluation method in the safety assessment of a high rocky slope. The study also indicated that it can also be applied to other similar problems.

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Short summary
We built a multi-criteria intelligent evaluation model to measure high rocky slope safety. An integrated method is proposed to weaken the subjective effect on the evaluation process. The quantitative and qualitative evaluation for high slope safety can be fulfilled.
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