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  • 标题:Short-Term Forecasting Management Research of Deep Horizontal Displacement of Slope Soil Based on ARIMA Model
  • 本地全文:下载
  • 作者:Kai Yan ; Jiaye Wu ; Yingqian Zhang
  • 期刊名称:Open Access Library Journal
  • 印刷版ISSN:2333-9705
  • 电子版ISSN:2333-9721
  • 出版年度:2019
  • 卷号:6
  • 期号:6
  • 页码:1-18
  • DOI:10.4236/oalib.1105496
  • 语种:English
  • 出版社:Scientific Research Pub
  • 摘要:The forecasting of deep horizontal displacement of slope soil is an important part of slope deformation monitoring, which has important guiding significance for the prevention of slope safety accidents. The historical data of deep horizontal displacement of slope soil are non-stationary time series with both random growth and time-varying fluctuation, and ARIMA model is suitable for forecasting such time series. In this paper, 648 historical data of deep horizontal displacement of soil were selected as the original sequence of empirical analysis, and forecasted the law and trend of displacement change by establishing ARIMA model. The results of empirical analysis showed that the effect of short-term static forecasting was good, which could provide useful reference for managers of slope quality safety govern slope and analyze the slope stability.
  • 关键词:Engineering ManagementARIMA ModelShort-Term ForecastingDeep Horizontal Displacement of Slope Soil
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