Research on Chaotic Characteristics of Diary Return Water Time Series in Qingtongxia Irrigation Area

Xin Yu Zhao; Jin Long Gao; Peng Fei Gu; Pei Huang

doi:10.4028/www.scientific.net/AMR.998-999.1429

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 998-999Research on Chaotic Characteristics of Diary...

Research on Chaotic Characteristics of Diary Return Water Time Series in Qingtongxia Irrigation Area

Abstract:

For the problems that the characteristics of diary return water time series in Ningxia Qingtongxia Irrigation area ,this issue studied it by using time series analysis, phase space reconstruction and saturation correlation dimension and other methods.The research results showed that diary return water time series in Qingtongxia irrigation area is a non-white noise stationary time series, and it has the chaotic characteristics, the saturation correlation dimension of it is 1.81, the embedding dimensionality of it is 9.

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Periodical:

Advanced Materials Research (Volumes 998-999)

Pages:

1429-1434

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.998-999.1429

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Online since:

July 2014

Authors:

Xin Yu Zhao*, Jin Long Gao, Peng Fei Gu, Pei Huang

Keywords:

Chaotic Characteristics, Diary Return Water, Qingtongxia Irrigation Area

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References

[1] Yanwen Shi . Study on the Regularity of Drainage watter volume of Qingtongxia Irrigation Area of Ningxiaia[D]. Xi'an University of Technology, 2006, 03：12 (In Chinese).

Google Scholar

[2] Writing Group of Ningxia Water Resources Bulletin. Ningxia Water Resources Bulletin（1985-2012）. Ningxia Bureau of Hydrology and Water Resources, 1985-2012. (In Chinese).

DOI: 10.22541/au.163254816.67106211/v1

Google Scholar

[3] Packard N H．Geometry from a time series[J]．Physical Review Letter，1980, 45：712-716.

Google Scholar

[4] Takens F．Detecting strange attractors in turbulence [J]．Lecture Notes in mathematics, 1980, 89：366～381.

DOI: 10.1007/bfb0091924

Google Scholar

[5] Lou Yu．Study on Chaotic Time Series and Application in Runoff Forecast[D]. Zhejiang University, 2005, 2． (In Chinese).

Google Scholar

[6] Junli Yu , Qiwen Wang, Wenxiou Han. Theory and Practice on Reconstructed Phase Spaceof the Economic Time Series and Chaotic Characteristics[J]. Journal Wuhan University (Natural Science), 2004, 50(1)：33～37．(In Chinese).

Google Scholar

[7] Sheng Huang, Chuan Liang. Chaos Analysis of Annual Runoff Time Sequence[J]. China Rural water and Hydropower, 2006, (4): 27～29 (In Chinese).

Google Scholar

[8] Shaolan Lei , Caixin Sun . Local Nonlinear Forecasting of Short-term Power Load Forecasting[J]. Journal of Chongqing University(Natural Science Edition), 2005, 28(5): 24～28．(In Chinese).

Google Scholar

[9] Shuzhen Xiong , Xiangfeng Yang, Yu Sun. Study of State Space Reconstruction[J]．Microprocessor, 2006, (10): 61～62．(In Chinese).

Google Scholar