| Artificial Neural Network Model for Discrimination of Stability of Ancient Landslide in Impounding Area of Three Gorges Project, China |
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| 作者姓名： | ZhouPinggen |
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| 作者单位： | ChinaInstituteofGeo-environmentMonitoring,Beijing100081 |
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| 基金项目： | ThestudyissupportedbyFoundationforDevelopmentofGeologicalSciencesandTechniquesofChina (CFDG Project 950 4 ) . |
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| 摘 要： | The factors of geomorphology, geological setting, effect of ground water and environment dynamic factors (e.g. rainfall and artificial water recharge) should be integrated in the discrimination of the stability of the ancient landslide. As the criterion of landslide stability has been studied, the artificial neural network model was then applied to discriminate the stability of the ancient landslide in the impounding area of the Three Gorges project on the Yangtze River, China. The model has the property of self-adaptive identifying and integrating complex qualitative factors and quantitative factors. The results of the artificial neural network model are coincided well with what were gained by classical limit equilibrimm analysis (the Bishop method and Janbu method) and by other comprehensive discrimination methods.
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| 关 键 词： | 人工神经网络 模拟 稳定性 滤网 崩塌 地形学 地质学 地表水动力学 三峡工程 |
Artificial Neural Network Model for Discrimination of Stability of Ancient Landslide in Impounding Area of Three Gorges Project, China |
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| ZhouPinggen.Artificial Neural Network Model for Discrimination of Stability of Ancient Landslide in Impounding Area of Three Gorges Project, China[J].Journal of China University of Geosciences,2003,14(2):161-165. |
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| Authors: | Zhou Pinggen |
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| Abstract: | The factors of geomorphology, geological setting, effect of ground water and environment dynamic factors (e.g. rainfall and artificial water recharge) should be integrated in the discrimination of the stability of the ancient landslide. As the criterion of landslide stability has been studied, the artificial neural network model was then applied to discriminate the stability of the ancient landslide in the impounding area of the Three Gorges project on the Yangtze River, China. The model has the property of self adaptive identifying and integrating complex qualitative factors and quantitative factors. The results of the artificial neural network model are coincided well with what were gained by classical limit equilibrium analysis (the Bishop method and Janbu method) and by other comprehensive discrimination methods. |
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| Keywords: | ancient landslide stability artificial neural network model the Three Gorges |
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