Complexity of Groundwater Dynamic in Jiansanjiang Based on Fractal Theory

Article Preview

Abstract:

The complexity of Groundwater dynamic was determined based on the fractal dimensions of groundwater depth sequence of all farms in Jiansanjiang calculated in Grassberger-Procaccia algorithm. It is showed that groundwater dynamic in Jiansanjiang is of certain complexity for fractal dimensions of all wells greater than 1. The complexity of groundwater in Jiansanjiang has a significant spatial variance structure characterized with the complexity of groundwater dynamic in the northwest lower than that in southeast, which indicates that the groundwater system in the southeast fluctuates more strongly and affected by natural and human disturbances more seriously.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 807-809)

Pages:

1671-1675

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Zhu Jiafu, Yang Hao, Hewei. Analusis of HRV signals based on the high-order complexity measurment[J]. ACTA Biophysica sinaca, 2004, 20(3): 193-197. (in Chinese).

Google Scholar

[2] Jinjuliang, Wei Yiming, Diingjing, et al. A study on the theoretice frame of water resources systems engineering, 2004, 2: 130-137. (in Chinese).

Google Scholar

[3] Chen Nanxiang. Theory and practice of complex system water resources reasonable disposition-a case study of the Henan province water receive area of mid-line water transfer from South to North[D]. Xi'an: Xi'an university of Technology, 2006. (in Chinese).

Google Scholar

[4] Wu Jinfang, Fengyuguagn. Researchaing on urban system in Shanxi Province based on fractal theory[J]. Journal of systems science, 2008, 16(4): 59-63. (in Chinese).

Google Scholar

[5] Sun Jinhua, Feng Yingjun, Hujian. Outlier pattern mining of stock time series with fractal theory[J]. Operations Research and Management Science. 2008, 17(5): 135-140. (in Chinese).

Google Scholar

[6] Paramanathan P, Uthayakumar R. Application of fractal theory in analysis of human electroencephalographic signals [J]. Computers in Biology and Medicine, 2008, 38 (3): 372-378.

DOI: 10.1016/j.compbiomed.2007.12.004

Google Scholar

[7] Su Litan, Song Yudong, Zhang Zhanyu. Spatial variability and fractal dimensions of groundwater and natural vegetation in the North foot of Tianshan Mountain [J]. Journal of Mountain Science, 2005, 23(1): 14-20. (in Chinese).

Google Scholar

[8] Lv Ping. Research on water resources carrying capacity and optimial allocation in Jiansanjiang Branch Bureau. (in Chinese).

Google Scholar

[9] Grassberger P. An optimized box-assisted algorithm for fractal dimensions [J]. Physics Lteeres A, 1990, 148: 63-68.

DOI: 10.1016/0375-9601(90)90577-b

Google Scholar

[10] Fraser A. M, Swinney H L. Independent coordinates for strange attractors from mutual information. Physical Review A, 1986, 33(2): 1134~1140J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, p.68.

DOI: 10.1103/physreva.33.1134

Google Scholar