Rainfall data feature extraction and its verification in displacement prediction of Baishuihe landslide in China

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• 作者：Yong Liu ; Dan Liu ; Zhimeng Qin ; Fengbo Liu…
• 刊名：Bulletin of Engineering Geology and the Environment
• 出版年：2016
• 出版时间：August 2016
• 年：2016
• 卷：75
• 期：3
• 页码：897-907
• 全文大小：1,038 KB
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Applied Geosciences
  Structural Foundations and Hydraulic Engineering
  Geoecology and Natural Processes
  Nature Conservation
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1435-9537
• 卷排序：75

文摘

Rainfall is one of the main factors that influence the stability of slopes. However, rainfall data have some common features, such as huge data volume and difficulties in direct use. Currently, measurements such as daily rainfall, total rainfall volume and rainfall intensity are widely used for rainfall data feature extraction, which weakens the comprehensive impact of rainfall on slope stability. A feature extraction method for rainfall data is proposed in this paper. Rainfall data is transformed into feature matrices, which have much smaller data volumes. These feature matrices contain lots of useful information and can be used directly in landslide analyses. Based on the statistics of each of the rainfall events, this article applies K-means to classify these events. By dividing rainfall volume into categories of evaporation, infiltration and runoff, feature extraction is conducted. To quantitatively analyze the comprehensive impact of rainfall on landslide stability, Particle Swarm Optimization (PSO) is utilized to search for an array of weight coefficients for evaporation, infiltration and runoff under various rainfall types, which eventually leads to the feature extraction of rainfall data. This feature extraction method is applied to the rainfall data feature analysis of the Baishuihe landslide area. The rationality and validity of the method are verified by the results of landslide displacements predicted by Back-Propagation (BP) neural network. This study provides an effective rainfall data feature extraction method and a new direction for quantitative analysis of landslide monitoring data.KeywordsRainfall dataFeature extractionBaishuihe landslideDisplacement prediction