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Outline
Considering the random characteristics of GNSS monitoring data, an adaptive identification method for the uniform deformation rate of landslides is proposed. By adopting low-order and high-order Savitzky-Golay (SG) filtering respectively, sequences suitable for early warning analysis and consistent with the deformation trend are obtained. On this basis, a rate fluctuation interval is defined, and the main deformation rate segments with dense sample points are located to determine the uniform deformation rate. Accordingly, a staged early warning model for landslide creep is constructed. This method is applied to three typical landslides, namely loess landslides, reservoir bank landslides, and coal mine landslides, to verify the identification of the uniform deformation rate and its early warning effect. The results show that this method can significantly suppress GNSS noise interference and improve the stability and engineering application value of the early warning system.
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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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