越南水电站大坝变形分析研究  

Research on Deformation Analysis of Hydropower Dam in Vietnam

作　　者：邹进贵[1] 裴氏坚贞 肖扬宣 Doan Van Chinh 

机构地区：[1]武汉大学测绘学院,湖北武汉430079 [2]THUY LOI University, Hanoi, Vietnam [3]LE QUY DON Technical University, Hanoi, Vietnam

出　　处：《测绘地理信息》2016年第3期48-52,共5页Journal of Geomatics

基　　金：国家自然科学基金资助项目(41074025)~~

摘　　要：分析了大坝水平位移的视准线观测方法,简述季节性时间序列法和BP神经网络法在变形监测中的应用,并对和平水电站历史观测数据进行分析和预测。结果表明,两种方法都能较准确地描述大坝的变形趋势,为大坝的安全监控提供了参考。Hydropower has made a significant contribution to the development of the economy of Vietnam,thus it is important to monitor hydropower dams for their safety both for the good of the country and the people.In this paper,dam horizontal displacement is analyzed and forecasted by using a Seasonal Auto-regressive Integrated Moving Average Model and Back-propagation Neural Network Merging Model.The monitoring data of the Hoa Binh Dam in Vietnam is achieved by alignment monitoring method.The results show that the two methods can describe the trend of dam deformation,can provide valuable references for dam safety.

关 键 词：越南水电站 视准线法 变形监测 BP神经网络 自回归滑动平均 SARIMA 

分 类 号：P257[天文地球—测绘科学与技术]