| 滑坡前兆突变异常识别方法 |
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| 引用本文： | 秦四清. 滑坡前兆突变异常识别方法[J]. 岩土力学, 2000, 21(1): 36-39 |
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| 作者姓名： | 秦四清 |
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| 作者单位： | 中国科学院 地质研究所, 北京 100029 |
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| 基金项目： | 中国科学院“百人计划”基金 |
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| 摘 要： | 将滑坡位移观测值时间序列视为非平稳随机过程, 采用建立系统的同态模型的方法提取短期异常 , 并给出了异常识别准则、有序度计算公式; 用一阶差分进行高通滤波的方法提取临滑异常并进行预测; 根据异常时刻组成的灾变日期集用灰色灾变模型进行预测。
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| 关 键 词： | 短期异常 临滑异常 异常识别准则 概率 灰色灾变 |
| 收稿时间： | 1999-04-01 |
| 修稿时间： | 1999-04-01 |
Identification approach to abrupt abnormality of landslide forerunners |
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| Qin Siqing. Identification approach to abrupt abnormality of landslide forerunners[J]. Rock and Soil Mechanics, 2000, 21(1): 36-39 |
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| Authors: | Qin Siqing |
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| Affiliation: | Institute of Geology , Chinese Academy of Sciences, Beijing 100029 |
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| Abstract: | The time series of displacement measured in-situ oflandslide is regarded as the unstable random process in the paper. The short-termabnormalities are extracted by means of the homomorphic model and the identificationcriterion of abnormalities and computing formula of order degree are given. Thecritical-sliding abnormalities are extracted with one degree difference equation for highpass filter. The prediction is conducted with the grey catastrophe model through theabrupt date set composed of abnormality times. |
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| Keywords: | short term abnormality critical sliding abnormality identification criterion of abnormality probability grey catastrophe |
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