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Rock landslide early warning system combining slope stability analysis, two-stage monitoring, and case-based reasoning: a case study

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Abstract

Rock landslides, one of the most common disasters in an open-pit mine, may occur at any point during the mining process. To manage landslide emergencies and define adequate preventive measures, a two-stage monitoring system was designed in this study to identify the potential landslide area and record multiple real-time data regarding an impending landslide. A case-based reasoning (CBR) approach was then designed to find similar rock landslide cases with detailed geological and monitoring information. The similar cases can provide workable engineering analogies for landslide prediction. Finally, an early warning system including slope stability analysis results, multifactor monitoring data, and early warning indicators obtained by CBR approach was established. Three warning levels were defined to support the system: ordinary “blue” level, attention “yellow” level, and alarm “red” level. A case study in the Dagushan open-pit mine indicates that the proposed system can provide ideas and solutions for rock landslide early warning in similar open-pit mines.

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Funding

This work was supported by the National Key Research and Development Program of China (2016YFC0801602 and 2017YFC1503101), the National Science Foundation of China (U1903216 and U1710253), and the China Scholarship Council (201806080101).

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Correspondence to Tianhong Yang.

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Liu, F., Yang, Z., Deng, W. et al. Rock landslide early warning system combining slope stability analysis, two-stage monitoring, and case-based reasoning: a case study. Bull Eng Geol Environ 80, 8433–8451 (2021). https://doi.org/10.1007/s10064-021-02461-6

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  • DOI: https://doi.org/10.1007/s10064-021-02461-6

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