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Journal of Applied Mathematics
Volume 2013 (2013), Article ID 356474, 8 pages
http://dx.doi.org/10.1155/2013/356474
Research Article

Detecting Runoff Variation of the Mainstream in Weihe River

Xi’an University of Technology, Xi’an 710048, China

Received 23 August 2013; Accepted 16 October 2013

Academic Editor: G. H. Huang

Copyright © 2013 Qiang Huang and Jingjing Fan. 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. S. Kumar, V. Merwade, J. Kam, and K. Thurner, “Streamflow trends in Indiana: effects of long term persistence, precipitation and subsurface drains,” Journal of Hydrology, vol. 374, no. 1-2, pp. 171–183, 2009. View at Publisher · View at Google Scholar · View at Scopus
  2. X. Wang, “Editorial: environmental informatics for environmental planning and management,” Journal of Environmental Informatics, vol. 9, no. 1, pp. 1–3, 2007. View at Publisher · View at Google Scholar · View at Scopus
  3. B. Chen, “Climate change and pesticide loss in watershed systems: a simulation modeling study,” Journal of Environmental Informatics, vol. 10, no. 2, pp. 55–67, 2007. View at Publisher · View at Google Scholar · View at Scopus
  4. X. S. Qin, G. H. Huang, A. Chakma, X. H. Nie, and Q. G. Lin, “A MCDM-based expert system for climate-change impact assessment and adaptation planning—a case study for the Georgia Basin, Canada,” Expert Systems with Applications, vol. 34, no. 3, pp. 2164–2179, 2008. View at Publisher · View at Google Scholar · View at Scopus
  5. B. Luo, I. Maqsood, Y. Y. Yin et al., “Adaption to climate change through water trading under uncertainty—an inexact two-stage nonlinear programming approach,” Journal of Environmental Informatics, vol. 2, no. 2, pp. 58–68, 2003. View at Publisher · View at Google Scholar
  6. C. J. Vörösmarty, P. Green, J. Salisbury, and R. B. Lammers, “Global water resources: vulnerability from climate change and population growth,” Science, vol. 289, no. 5477, pp. 284–288, 2000. View at Publisher · View at Google Scholar · View at Scopus
  7. Y. Yang and F. Tian, “Abrupt change of runoff and its major driving factors in Haihe River Catchment, China,” Journal of Hydrology, vol. 374, no. 3-4, pp. 373–383, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. G. Fu, S. Chen, C. Liu, and D. Shepard, “Hydro-climatic trends of the yellow river basin for the last 50 years,” Climatic Change, vol. 65, no. 1-2, pp. 149–178, 2004. View at Publisher · View at Google Scholar · View at Scopus
  9. Z. Chen, J. Li, H. Shen, and W. Zhanghua, “Yangtze River of China: historical analysis of discharge variability and sediment flux,” Geomorphology, vol. 41, no. 2, pp. 77–91, 2001. View at Publisher · View at Google Scholar · View at Scopus
  10. H. B. Mann, “Nonparametric tests against trend,” Econometrica, vol. 13, no. 3, pp. 245–259, 1945. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  11. M. G. Kendall, Rank Correlation Methods Griffin, London, 1975.
  12. Q. Zhang, C.-Y. Xu, Z. Zhang, Y. D. Chen, C.-L. Liu, and H. Lin, “Spatial and temporal variability of precipitation maxima during 1960—2005 in the Yangtze River basin and possible association with large-scale circulation,” Journal of Hydrology, vol. 353, no. 3-4, pp. 215–227, 2008. View at Publisher · View at Google Scholar · View at Scopus
  13. M. Sulkava, S. Luyssaert, P. Rautio, I. A. Janssens, and J. Hollmén, “Modeling the effects of varying data quality on trend detection in environmental monitoring,” Ecological Informatics, vol. 2, no. 2, pp. 167–176, 2007. View at Publisher · View at Google Scholar · View at Scopus
  14. J. Fan, Q. Huang, J. Chang et al., “Detecting abrupt change of streamflow at lintong station of wei river,” Mathematical Problems in Engineering, vol. 2013, Article ID 976591, 9 pages, 2013. View at Publisher · View at Google Scholar
  15. W. Fengying, Modern Technology of Statistics, Diagnosis and Forecast For Climate, Meteorological Press, Beijing, China, 2007, Chinese.
  16. K. H. Hamed and A. Ramachandra Rao, “A modified Mann-Kendall trend test for autocorrelated data,” Journal of Hydrology, vol. 204, no. 1–4, pp. 182–196, 1998. View at Publisher · View at Google Scholar · View at Scopus
  17. Q. Zhang, C. Xu, S. Becker et al., “Sediment and runoff changes in the Yangtze River basin during past 50 years,” Journal of Hydrology, vol. 331, no. 3, pp. 511–523, 2006. View at Google Scholar
  18. A. W. Galli, G. T. Heydt, and P. F. Ribeiro, “Exploring the power of wavelet analysis,” IEEE Computer Applications in Power, vol. 9, no. 4, pp. 37–41, 1996. View at Publisher · View at Google Scholar · View at Scopus
  19. S. Santoso, E. J. Powers, W. M. Grady, and P. Hofmann, “Power quality assessment via wavelet transform analysis,” IEEE Transactions on Power Delivery, vol. 11, no. 2, pp. 924–930, 1996. View at Publisher · View at Google Scholar · View at Scopus
  20. P. Pillaya Bhattacharjee, “Application of wavelets to model short-term power system disturbances,” IEEE Transactions on Power Systems, vol. 11, no. 4, pp. 2031–2037, 1996. View at Publisher · View at Google Scholar · View at Scopus
  21. W. A. Wilkinson and M. D. Cox, “Discrete wavelet analysis of power system transients,” IEEE Transactions on Power Systems, vol. 11, no. 4, pp. 2038–2044, 1996. View at Publisher · View at Google Scholar · View at Scopus
  22. P. F. Ribeiro, “Wavelet transform: an advanced tool for analyzing non-stationary harmonic distortions in power systems,” in Proceedings IEEE International Conference on Harmonics in Power Systems (ICHPS '94), 1994. View at Publisher · View at Google Scholar
  23. R. M. Hirsch, J. R. Slack, and R. A. Smith, “Techniques of trend analysis for monthly water quality data,” Water Resources Research, vol. 18, no. 1, pp. 107–121, 1982. View at Publisher · View at Google Scholar · View at Scopus
  24. R. M. Hirsch and J. R. Slack, “A nonparametric trend test for seasonal data with serial dependence,” Water Resources Research, vol. 20, no. 6, pp. 727–732, 1984. View at Publisher · View at Google Scholar · View at Scopus
  25. R. M. Hirsch, R. B. Alexander, and R. A. Smith, “Selection of methods for the detection and estimation of trends in water quality,” Water Resources Research, vol. 27, no. 5, pp. 803–813, 1991. View at Publisher · View at Google Scholar · View at Scopus
  26. D. P. Lettenmaier, “Detection of trends in water quality data from records with dependent observations,” Water Resources Research, vol. 12, no. 5, pp. 1037–1046, 1976. View at Publisher · View at Google Scholar
  27. D. P. Lettenmaier, E. R. Hooper, C. Wagoner, and K. B. Faris, “Trends in stream quality in the continental United States, 1978–1987,” Water Resources Research, vol. 27, no. 3, pp. 327–339, 1991. View at Publisher · View at Google Scholar · View at Scopus
  28. J. Armengol, S. Sabater, A. Vidal et al., “Using the rescaled range analysis for the study of hydrological records: the river Ter as an example,” Oecologia Aquatica, vol. 10, no. 10, pp. 21–34, 2012. View at Google Scholar
  29. P. A. Stott, N. P. Gillett, G. C. Hegerl et al., “Detection and attribution of climate change: a regional perspective,” Wiley Interdisciplinary Reviews: Climate Change, vol. 1, no. 2, pp. 192–211, 2010. View at Publisher · View at Google Scholar · View at Scopus
  30. R. Sneyers, Sur L'analyse Statistique Des Series D'obser6ations, Tech. Note, Geneva, Switzerland, 1975.
  31. F.-W. Gerstengarbe and P. C. Werner, “Estimation of the beginning and end of recurrent events within a climate regime,” Climate Research, vol. 11, no. 2, pp. 97–107, 1999. View at Publisher · View at Google Scholar · View at Scopus
  32. C. Bai and S. Zhang, “Detection of the variation points of Weihe River watershed runoff process based on rank sum,” Journal of Northwest A&F University, vol. 37, no. 10, pp. 215–220, 2009. View at Google Scholar
  33. N. W. Arnell, “Climate change and global water resources,” Global Environmental Change, vol. 9, pp. S31–S49, 1999. View at Publisher · View at Google Scholar · View at Scopus
  34. D. Labat, Y. Goddéris, J. L. Probst, and J. L. Guyot, “Evidence for global runoff increase related to climate warming,” Advances in Water Resources, vol. 27, no. 6, pp. 631–642, 2004. View at Publisher · View at Google Scholar · View at Scopus
  35. C. d. Fraiture, “Integrated water and food analysis at the global and basin level. An application of WATERSIM,” Water Resources Management, vol. 21, no. 1, pp. 185–198, 2007. View at Google Scholar
  36. M. I. Hejazi and G. E. Moglen, “Regression-based approach to low prediction in the Maryland Piedmont region under joint climate and land use change,” Hydrological Processes, vol. 21, no. 14, pp. 1793–1801, 2007. View at Publisher · View at Google Scholar · View at Scopus
  37. V. K. Arora, “The use of the aridity index to assess climate change effect on annual runoff,” Journal of Hydrology, vol. 265, no. 1–4, pp. 164–177, 2002. View at Publisher · View at Google Scholar · View at Scopus
  38. C. M. Liu and J. Xia, Global Water System Project, 2004.
  39. X. L. Su, S. Z. Kang, X. M. Wei et al., “Impact of climate change and human activity on the runoff of Wei River basin to the Yellow River,” Journal of Northwest A & F University, vol. 2, p. 32, 2007. View at Google Scholar