New idea and two new methods for identifying periodicities of hydrological time series
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摘要: 针对水文序列周期识别的困难,提出首先对原序列处理,再识别周期的新思路,同时提出两种新方法:一种是模拟延长序列法,即通过建模延长原序列,再应用最大熵谱分析法(MESA)对延长序列识别周期;另一种方法是构建主频序列法,应用小波重构法重构原序列主频部分,然后应用MESA对重构序列进行周期识别。结合实例,运用多种方法对同一序列进行周期识别。分析结果表明:由于受序列长度偏短、偏态性、复杂随机成分等因素的影响,传统单一处理方法(周期图法、FFT、MESA、小波分析)周期识别效果并不理想,而使用两种新方法可以有效地减小或消除上述因素的影响,周期识别效果有明显改善。Abstract: In this thesis,a new idea for estimating the periodicities of hydrological time series is put forward. Two new methods,series simulating and prolonging method(SSAP)and main frequency series reconstructing method(MFSR),are developed. The former is to build a suitable model to prolong the length of the original series,and the latter is to reconstruct the main frequency series of the original series. Maximum Entropy Spectral Analysis(MESA)is used to analyze the periods of new series. Various period-estimating methods(including traditional ones and newly developed ones)are used to identify which is better for same time series. Results show that the traditional methods(Fast Fourier Transform,MESA and Wavelet Analysis) are not as good as expected because of the influences of short length of series,complex random series and skew distribution, etc. However,using new methods(SSAP,MFSR)are not so strongly affected. It can be concluded that the new methods would greatly improve the estimation of results and,to some extent,eliminate disturbance.
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[1] 丁晶,邓育仁.随机水文学[M].成都:成都科技大学出版社,1988.(DING Jing,DENG Yu-ren.Stochastic hydrology[M].Chengdu:Chengdu University of Science and Technology Press,1988.(in Chinese)) [2] 王栋,朱元生生.最大熵原理在水文水资源科学中的应用[J].水科学进展,2001,12(3):424-430.(WANG Dong,ZHU Yuan-sheng.Principle of maximum entropy and its application in hydrology and water resources[J].Advances in Water Science,2001,12(3):424-430.(in Chinese)) [3] WANG Dong,CHEN Yuan-fang,LI Guo-fang,et al.Maximum entropy spectral analysis for annual maximum tide Level time series of the Changjiang River estuary[J].Journal of Coastal Research,2004,SI43:101-108. [4] 王文圣,丁晶,向红莲.水文时间序列多时间尺度分析的小波变换法[J].四川大学学报,2002,34(6):14-17.(WANG Wen-sheng,DING Jing,XIANG Hong-lian.Multiple time scales analysis of hydrological time series with wavelet Transform[J].Journal of Sichuan University,2002,34(6):14-17.(in Chinese)) [5] SINGH V P.The use of entropy in hydrology and water resources[J].Hydrological Processes,1997(11):587 -626. [6] WANG D,SINGH V P,ZHU Y.Hybrid fuzzy and optimal modeling for water quality evaluation[J].Water Resour Res,2007,43:W05415. [7] 郑昱,朱元生生.水文序列周期的小波变换检测方法探讨[J].河海大学学报,2000,28(1):96-99.(ZHENG Yu,ZHU Yuan-sheng.Application of wavelet transform to hydrologic sequence period detection[J].Journal of Hohai University,2000,28(1):96-99.(in Chinese)) [8] 王栋,朱元生生.基于MEM1谱分析的水文时间序列隐含周期特性研究[J].水文,2002,22(2):19-23.(WANG Dong,ZHU Yuan-sheng.Research on cryptic period of hydrologic time series based on MEM1 spectral analysis[J].Journal of China Hydrology,2002,22(2):19-23.(in Chinese)). -
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