地铁沉降数据的时间序列分析与研究  

Time Series Analysis and Research on the Settlement Data of Metro

作　　者：张紫红 刘康[2] 贠永峰[1] ZHANG Zihong;LIU Kang;YUN Yongfeng(Institute of Architecture and Civil Engineering, Xi＇an University of Science and Technology, Xi＇an 710054, China;College of Earth Sciences, Chengdu University of Technology, Chengdu 610059,China)

机构地区：[1]西安科技大学建筑与土木工程学院,陕西西安710054 [2]成都理工大学地球科学学院,四川成都610059

出　　处：《测绘地理信息》2018年第2期76-78,82,共4页Journal of Geomatics

摘　　要：基于平稳时间序列的分析理论,对西安地铁五路口站的地质沉降数据进行平稳化处理,确定预测模型和误差残差值。研究结果表明,原始观测值与拟合值的残差在合理范围内,时间序列模型可以对短时间内的沉降量做出预测,具有良好的短期趋势预测效果。Based on the theory of stationary time series analysis,the geological subsidence data of the Wulukou station of Xi＇an subway is processed,the prediction model and the error residual value are determined.Result shows that original observation and residual error of the fitted values are within a reasonable scope;time series model can predict the settlement in a short term and has a good short-term trend forecast effect.

关 键 词：时间序列分析 地铁 沉降数据 沉降预测 

分 类 号：P258[天文地球—测绘科学与技术] U231.3[交通运输工程—道路与铁道工程]