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Advances in Meteorology
Volume 2016 (2016), Article ID 2486928, 15 pages
http://dx.doi.org/10.1155/2016/2486928
Research Article

Response of Extreme Hydrological Events to Climate Change in the Water Source Area for the Middle Route of South-to-North Water Diversion Project

1State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
2Hubei Collaborative Innovation Center for Water Resources Security, Wuhan University, Wuhan 430072, China
3College of Tourism Culture and Geographical Science, Huanggang Normal University, Huanggang 438000, China

Received 20 February 2015; Revised 15 July 2015; Accepted 30 July 2015

Academic Editor: Yongqiang Zhang

Copyright © 2016 Wei Yang 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. M. R. Allen and W. J. Ingram, “Constraints on future changes in climate and the hydrologic cycle,” Nature, vol. 419, no. 6903, pp. 224–232, 2002. View at Publisher · View at Google Scholar · View at Scopus
  2. M. D. Dettinger, D. R. Cayan, M. K. Meyer, and A. E. Jeton, “Simulated hydrologic responses to climate variations and change in the Merced, Carson, and American River basins, Sierra Nevada, California, 1900–2099,” Climatic Change, vol. 62, no. 1–3, pp. 283–317, 2004. View at Publisher · View at Google Scholar · View at Scopus
  3. T. Zhu, M. W. Jenkins, and J. R. Lund, “Estimated impacts of climate warming on California water availability under twelve future climate scenarios,” Journal of the American Water Resources Association, vol. 41, no. 5, Article ID 03139, pp. 1027–1038, 2005. View at Publisher · View at Google Scholar · View at Scopus
  4. T. G. Huntington, “Evidence for intensification of the global water cycle: review and synthesis,” Journal of Hydrology, vol. 319, no. 1–4, pp. 83–95, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. IPCC, Climate Change 2001: The Science of Climate Change. Third Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK, 2001.
  6. Z. Jiang, Y. Ding, and W. Chen, “Projection precipitation extremes for the 21st century over China,” Advances in Climate Change Research, vol. 3, no. 4, pp. 202–207, 2007 (Chinese). View at Google Scholar
  7. P. Zhai, X. Zhang, H. Wan, and X. Pan, “Trends in total precipitation and frequency of daily precipitation extremes over China,” Journal of Climate, vol. 18, no. 7, pp. 1096–1108, 2005. View at Publisher · View at Google Scholar · View at Scopus
  8. Y. Hong and R. F. Adler, “Predicting global landslide spatiotemporal distribution: integrating landslide susceptibility zoning techniques and real-time satellite rainfall estimates,” International Journal of Sediment Research, vol. 23, no. 3, pp. 249–257, 2008. View at Publisher · View at Google Scholar · View at Scopus
  9. D.-I. Müller-Wohlfeil, G. Bürger, and W. Lahmer, “Response of a river catchment to climatic change: application of expanded downscaling to Northern Germany,” Climatic Change, vol. 47, no. 1-2, pp. 61–89, 2000. View at Publisher · View at Google Scholar · View at Scopus
  10. S. B. Dessu and A. M. Melesse, “Impact and uncertainties of climate change on the hydrology of the Mara River basin, Kenya/Tanzania,” Hydrological Processes, vol. 27, no. 20, pp. 2973–2986, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. P. D. Jones and P. A. Reid, “Assessing future changes in extreme precipitation over Britain using regional climate model integrations,” International Journal of Climatology, vol. 21, no. 11, pp. 1337–1356, 2001. View at Publisher · View at Google Scholar · View at Scopus
  12. V. V. Kharin and F. W. Zwiers, “Estimating extremes in transient climate change simulations,” Journal of Climate, vol. 18, no. 8, pp. 1156–1173, 2005. View at Publisher · View at Google Scholar · View at Scopus
  13. T. Fischer, B. Su, Y. Luo, and T. Scholten, “Probability distribution of precipitation extremes for weather index-based insurance in the Zhujiang River Basin, South China,” American Meteorological Society, vol. 13, no. 3, pp. 1023–1037, 2012. View at Google Scholar
  14. W. Wang, X. Chen, P. Shi, and P. H. A. J. M. van Gelder, “Detecting changes in extreme precipitation and extreme streamflow in the Dongjiang River Basin in southern China,” Hydrology and Earth System Sciences, vol. 12, no. 1, pp. 207–221, 2008. View at Publisher · View at Google Scholar · View at Scopus
  15. L. Zhang, Y. Yang, L. Qin, Y. Duan, and Z. Yang, “Distribution of extreme precipitation events in water source area for the middle route project of south-to-north water transfer under A2, A1B, B1 scenarios,” Advances in Climate Change Research, vol. 9, no. 1, pp. 29–34, 2013. View at Google Scholar
  16. J. Guo, S. Guo, H. Chen, B. Yan, J. Zhang, and H. Zhang, “Prediction of changes of precipitation in Hanjiang River basin using statistical downscaling method based on ANN,” Engineering Journal of Wuhan University, vol. 43, no. 2, pp. 148–152, 2010 (Chinese). View at Google Scholar
  17. R. Xu, H. Chen, and J. Guo, “Impact of climate change on hydrological extreme events in upper reaches of the Hanjiang River basin,” Journal of Beijing Normal University (Natural Science), vol. 46, no. 3, pp. 383–386, 2010 (Chinese). View at Google Scholar
  18. IPCC, Climate Change 2007: The Science of Climate Change. Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK, 2007.
  19. J. M. Murphy, D. M. H. Sexton, D. H. Barnett et al., “Quantification of modelling uncertainties in a large ensemble of climate change simulations,” Nature, vol. 430, no. 7001, pp. 768–772, 2004. View at Publisher · View at Google Scholar · View at Scopus
  20. N. Nakićenović, J. Alcamo, G. Davis et al., Special Report on Emissions Scenarios: A Special Report of Working Group III of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK, 2000.
  21. A. F. Jenkinson, “The frequency distribution of the annual maximum (or minimum) values of meteorological elements,” Quarterly Journal of the Royal Meteorological Society, vol. 81, no. 348, pp. 158–171, 1955. View at Publisher · View at Google Scholar
  22. S. Coles and L. Pericchi, “Anticipating catastrophes through extreme value modelling,” Journal of the Royal Statistical Society. Series C. (Applied Statistics), vol. 52, no. 4, pp. 405–416, 2003. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  23. S. Coles, An Introduction to Statistical Modeling of Extreme Values, Springer, Berlin, Germany, 2001. View at Publisher · View at Google Scholar · View at MathSciNet
  24. J. Huang, “An index of precipitation probability for dryness/wetness analysis,” Meteorological Monthly, vol. 16, no. 9, pp. 8–12, 1990. View at Google Scholar
  25. B. B. Brabson and J. P. Palutikof, “Tests of the generalized Pareto distribution for predicting extreme wind speeds,” Journal of Applied Meteorology, vol. 39, no. 9, pp. 1627–1640, 2000. View at Publisher · View at Google Scholar · View at Scopus
  26. N. B. Roger, An Introduction to Copula, Springer, New York, NY, USA, 1999.
  27. V. P. Singh and L. Zhang, “Bivariate flood frequency analysis using the Copula method,” Journal of Hydrologic Engineering, vol. 11, no. 2, pp. 150–164, 2006. View at Publisher · View at Google Scholar · View at Scopus
  28. B. Klein, M. Pahlow, Y. Hundecha, and A. Schumann, “Probability analysis of hydrological loads for the design of flood control systems using copulas,” Journal of Hydrologic Engineering, vol. 15, no. 5, pp. 360–369, 2010. View at Publisher · View at Google Scholar · View at Scopus
  29. 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 MathSciNet
  30. M. G. Kendall, Rank Correlation Methods, Griffin, 1970.
  31. M. Bayazit and B. Önöz, “To prewhiten or not to prewhiten in trend analysis?” Hydrological Sciences Journal, vol. 52, no. 4, pp. 611–624, 2007. View at Publisher · View at Google Scholar · View at Scopus
  32. R. Sneyers, “Climate chaotic instability: statistical determination and theoretical background,” Environmetrics, vol. 8, no. 5, pp. 517–532, 1997. View at Google Scholar · View at Scopus
  33. 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
  34. D. Bisai, S. Chatterjee, A. Khan, and N. K. Barman, “Application of sequential Mann-Kendall test for detection of approximate significant change point in surface air temperature for Kolkata weather observatory, west Bengal, India,” International Journal of Current Research, vol. 6, no. 2, pp. 5319–5324, 2014. View at Google Scholar
  35. J. M. Moraes, G. Q. Pellegrino, M. V. Ballester, L. A. Martinelli, R. L. Victoria, and A. V. Krusche, “Trends in hydrological parameters of a southern Brazilian watershed and its relation to human induced changes,” Water Resources Management, vol. 12, no. 4, pp. 295–311, 1998. View at Publisher · View at Google Scholar · View at Scopus
  36. 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
  37. T. Li, Y. Jiang, J. Yin et al., “Study on design flood of Danjiangkou Reservoir,” Yellow River, vol. 32, no. 11, pp. 33–35, 2010. View at Google Scholar
  38. X. Gao, Y. Ding, and Z. Zhao, “Climate change due to greenhouse effects in China as simulated by a regional climate model part1: evaluation of the model simulations,” Acta Meteorologica Sinica, vol. 61, no. 1, pp. 20–28, 2003 (Chinese). View at Google Scholar
  39. X. Shi, X. Xu, and Y. Xu, “Comparison of temperature between six hundreds stations in China and output of IPCC models,” Meteorological Monthly, vol. 31, no. 7, pp. 49–53, 2005. View at Google Scholar
  40. Z. Yang, L. Zhang, L. Qin, Y. Yang, and Y. Duan, “Flood characteristics and future response analysis under the climate change of the Danjiangkou reservoir,” Resources and Environment in the Yangtze Basin, vol. 22, no. 5, pp. 588–594, 2013 (Chinese). View at Google Scholar