| 滑动窗口MF-DFA方法在大坝变形监测中的运用 |
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| 引用本文： | 王松林,邵晨飞,朱蓓,张超波.滑动窗口MF-DFA方法在大坝变形监测中的运用[J].三峡大学学报(自然科学版),2012,34(2):7-10. |
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| 作者姓名： | 王松林 邵晨飞 朱蓓 张超波 |
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| 作者单位： | 1. 河海大学水利水电学院,南京210098;河海大学水文水资源与水利工程科学国家重点实验室,南京210098;河海大学水资源高效利用与工程安全国家工程研究中心,南京210098
2. 河海大学水利水电学院,南京,210098 |
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| 基金项目： | 国家自然科学基金重点项目（51139001）;国家自然科学基金资助项目（51079046,50909041,50809025,50879024,51139001）; 国家科技支撑计划课题基金资助项目（2008BAB29B03,2008BA29B06）; 河海大学水文水资源与水利工程科学国家重点实验室专项基金（2009586012,2009586912,2010585212）; 高等学校博士学科点专项科研基金（20070294023） |
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| 摘 要： | 为了探索大坝变形与时间序列的相关性,通过引入滑动窗口技术对多重分形消除趋势波动法MF-DFA进行改进,与传统的MF-DFA计算结果进行比较分析.实例结果表明多重分形更能刻画大坝变形过程,滑动窗口MF-DFA法比传统MF-DFA法的精度更高,定标指数H(q)值更快趋于较稳定的值,同时从整体上描述变形数据序列的相关性,为后续预测提供依据.
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| 关 键 词： | 大坝变形监测 多重分形 消除趋势波动法 时间序列 |
Application of Sliding Windows MF-DFA to Dam Deformation Monitoring |
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| Wang Songlin
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Shao Chenfei
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Zhu Bei
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Zhang Chaobo.Application of Sliding Windows MF-DFA to Dam Deformation Monitoring[J].Journal of China Three Gorges University(Natural Sciences),2012,34(2):7-10. |
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| Authors: | Wang Songlin Shao Chenfei Zhu Bei Zhang Chaobo |
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| Institution: | 1.College of Water Conservancy ＆ Hydropower Engineering,Hohai Univ.,Nanjing 210098,China; 2.State Key Laboratory of Hydrology-Water Resources ＆ Hydraulic Engineering,Hohai Univ.,Nanjing 210098,China; 3.National Engineering Research Center of Water Resources Efficient Utilization ＆ Engineering Safety,Hohai Univ.,Nanjing 210098,China) |
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| Abstract: | In order to detect the correlation between dam deformation and time series,multifractal detrended fluctuations analysis（MF-DFA） by introducing sliding windows technology were improved to evaluate calculation results compared with the traditional MF-DFA.The case study shows that the multifractal method can easily depict main dam deformation process,the degree of accuracy is higher by sliding windows MF-DFA than by traditional MF-DFA;and the value of tend to be more stable.On the whole,the analysis describes the correlation of the deformation data and provides the basis for the subsequent forecast. |
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| Keywords: | dam deformation monitoring multifractal detrended fluctuations analysis time series |
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