Table of Contents Author Guidelines Submit a Manuscript
Discrete Dynamics in Nature and Society
Volume 2016, Article ID 2689429, 7 pages
http://dx.doi.org/10.1155/2016/2689429
Research Article

The Application of Recurrence Quantification Analysis in Detection of Abrupt Climate Change

1College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
2Tongda College, Nanjing University of Posts & Telecommunications, Nanjing 210003, China
3National Climate Center, China Meteorological Administration, Beijing 100081, China
4College of Physical Science & Technology, Yangzhou University, Yangzhou 225002, China
5College of Math & Statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China

Received 25 December 2015; Accepted 24 April 2016

Academic Editor: Yi Wang

Copyright © 2016 Wen Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Z.-B. Fu, “Studies on the observed abrupt climatic change,” Scientia Atmospherica Sinica, vol. 18, pp. 373–384, 1994. View at Google Scholar
  2. H. B. Mann, “Nonparametric tests against trend,” Econometrica, vol. 13, pp. 245–259, 1945. View at Publisher · View at Google Scholar · View at MathSciNet
  3. M. G. Kendall and G. Charles, Rank Correlation Methods, Griffin, London, UK, 1975.
  4. R. Yamamoto, T. Iwashima, and N. K. Sanga, “Climatic jump, a hypothesis in climate diagnosis,” Journal of the Meteorology Society Japan, vol. 63, pp. 1157–1160, 1985. View at Google Scholar
  5. W.-J. Dong and J.-P. Li, “Abrupt climate change detection based on heuristic segmentation algorithm,” Acta Physica Sinica, vol. 54, pp. 5494–5499, 2005. View at Google Scholar
  6. Z.-Q. Gong, G.-L. Feng, S.-Q. Wan, and J.-P. Li, “Analysis of features of climate change of Huabei area and the global climate change based on heuristic segmentation algorithm,” Acta Physica Sinica, vol. 55, no. 1, pp. 477–484, 2006. View at Google Scholar · View at Scopus
  7. G.-L. Feng, W. Hou, and W.-J. Dong, “Technique for distinguishing dynamical species in the temperature time series of Yangtze River delta,” Acta Physica Sinica, vol. 55, no. 2, pp. 962–968, 2006. View at Google Scholar · View at Scopus
  8. R. Zhi, Y. Lian, and G.-L. Feng, “The influence of different scale systems on precipitation analyzed on the basis of power-law exponent,” Acta Physica Sinica, vol. 56, no. 3, pp. 1837–1842, 2007. View at Google Scholar · View at Scopus
  9. W.-P. He, T. He, H.-Y. Cheng, W. Zhang, and Q. Wu, “A new method to detect abrupt change based on approximate entropy,” Acta Physica Sinica, vol. 60, no. 4, Article ID 049202, 2011. View at Google Scholar · View at Scopus
  10. V. N. Livina, S. Havlin, and A. Bunde, “Memory in the occurrence of earthquakes,” Physical Review Letters, vol. 95, no. 20, Article ID 208501, 2005. View at Publisher · View at Google Scholar · View at Scopus
  11. W.-P. He, G.-L. Feng, Q. Wu, S.-Q. Wan, and J.-F. Chou, “A new method for abrupt change detection in dynamic structures,” Nonlinear Processes in Geophysics, vol. 15, no. 4, pp. 601–606, 2008. View at Publisher · View at Google Scholar · View at Scopus
  12. G.-Q. Sun, S.-L. Wang, R. Qian, J. Zhen, and Y.-P. Wu, “Effects of time delay and space on herbivore dynamics: linking inducible defenses of plants to herbivore outbreak,” Scientific Reports, vol. 5, Article ID 11246, 2015. View at Google Scholar
  13. G.-Q. Sun, Z.-Y. Wu, Z. Wang, and Z. Jin, “Influence of isolation degree of spatial patterns on persistence of populations,” Nonlinear Dynamics, vol. 83, no. 1-2, pp. 811–819, 2016. View at Google Scholar · View at MathSciNet
  14. J. P. Eckmann, S. O. Kamphorst, and D. Ruelle, “Recurrence plots of dynamical systems,” Europhysics Letters, vol. 54, pp. 973–977, 1987. View at Google Scholar
  15. C. L. Webber Jr. and J. P. Zbilut, “Dynamical assessment of physiological systems and states using recurrence plot strategies,” Journal of Applied Physiology, vol. 76, no. 2, pp. 965–973, 1994. View at Google Scholar · View at Scopus
  16. J. P. Zbilut, A. Giuliani, and C. L. Webber Jr., “Detecting deterministic signals in exceptionally noisy environments using cross-recurrence quantification,” Physics Letters, Section A: General, Atomic and Solid State Physics, vol. 246, no. 1-2, pp. 122–128, 1998. View at Google Scholar · View at Scopus
  17. J. P. Zbilut and C. L. Webber Jr., “Embeddings and delays as derived from quantification of recurrence plots,” Physics Letter A, vol. 171, no. 3-4, pp. 199–203, 1992. View at Publisher · View at Google Scholar
  18. L. L. Trulla, A. Giuliani, J. P. Zbilut, and J. Webber, “Recurrence quantification analysis of the logistic equation with transients,” Physics Letters A, vol. 223, no. 4, pp. 255–260, 1996. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  19. N. Marwan, M. C. Romano, M. Thiel, and J. Kurths, “Recurrence plots for the analysis of complex systems,” Physics Reports, vol. 438, no. 5-6, pp. 237–329, 2007. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  20. D. B. Vasconcelos, S. R. Lopes, R. L. Viana, and J. Kurths, “Spatial recurrence plots,” Physical Review E, vol. 73, no. 5, Article ID 056207, 10 pages, 2006. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  21. X.-M. Guo, C.-P. Li, and D.-L. Lu, “Application of recurrence quantification analysis and approximate Entropy in classification and recognition of heart sound,” Journal of Data Acquisition and Processing, vol. 28, no. 5, pp. 559–564, 2013. View at Google Scholar · View at Scopus
  22. F. Dong, N.-D. Jin, and Y. Wang, “Multi-scale recurrence quantification analysis of the dynamic characteristics of two phase flow pattern,” Acta Physica Sinica, vol. 57, pp. 6145–6154, 2008. View at Google Scholar
  23. J. Yang, B.-Y. Zhou, Y. Zhang, and Y. Zhou, “Compressor fault diagnosis based on recurrence plot analysis,” Computer & Digital Engineering, vol. 41, no. 6, pp. 984–986, 2013. View at Google Scholar