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The parameters of the Fuzzy Measure Method (FMM) in slope stability analysis are difficult to determine, thus a support vector regression (SVR) model was established and used to accurately predict parameters of the FMM, and a slope stability prediction model, FMM-SVR, was established, which was then used to predict the instability probability of the slope during the second-phase open-pit mining in Gaocun Iron Mine of Masteel Mining Resources Corporation. The results show that the maximum slope instability probability is 0.120 8 as mining operation approaches the toe of slope in an open pit, indicating that the slope remains overall stable with a risk of partially instability. This conclusion is also consistent with the on-site measured results. The location of the most critical sliding surface of the slope was determined by the finite element strength reduction method, and the factor of safety is calculated to be 1.5, which further verifies the effectiveness of the FMM-SVR model.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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