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Advances in Meteorology
Volume 2015, Article ID 545376, 12 pages
http://dx.doi.org/10.1155/2015/545376
Research Article

Calibration of Conceptual Rainfall-Runoff Models Using Global Optimization

1Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University, Nanjing 210098, China
2Research Institute of Geotechnical Engineering, Hohai University, Nanjing 210098, China
3Department of Civil & Environmental Engineering, University of Waterloo, Waterloo, ON, Canada N2L 3G1

Received 19 November 2014; Revised 9 February 2015; Accepted 19 February 2015

Academic Editor: Hann-Ming H. Juang

Copyright © 2015 Chao 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. Q. J. Wang, “The genetic algorithms and its application to calibrating conceptual rainfall-runoff models,” Water Resources Research, vol. 27, no. 9, pp. 2467–2471, 1991. View at Publisher · View at Google Scholar · View at Scopus
  2. M. Franchini, “Use of a genetic algorithm combined with a local search method for the automatic calibration of conceptual rainfall-runoff models,” Hydrological Sciences Journal, vol. 41, no. 1, pp. 21–37, 1996. View at Publisher · View at Google Scholar · View at Scopus
  3. S. Sorooshian and V. Gupta, “Effective and efficient global optimization for conceptual rainfall- runoff models,” Water Resources Research, vol. 28, no. 4, pp. 1015–1031, 1992. View at Publisher · View at Google Scholar · View at Scopus
  4. S. Sorooshian, Q. Duan, and V. K. Gupta, “Calibration of rainfall-runoff models: application of global optimization to the Sacramento soil moisture accounting model,” Water Resources Research, vol. 29, no. 4, pp. 1185–1194, 1993. View at Publisher · View at Google Scholar · View at Scopus
  5. P. O. Yapo, H. V. Gupta, and S. Sorooshian, “Automatic calibration of conceptual rainfall-runoff models: sensitivity to calibration data,” Journal of Hydrology, vol. 181, no. 1–4, pp. 23–48, 1996. View at Publisher · View at Google Scholar · View at Scopus
  6. T. Y. Gan, E. M. Dlamini, and G. F. Biftu, “Effects of model complexity and structure, data quality, and objective functions on hydrologic modeling,” Journal of Hydrology, vol. 192, no. 1–4, pp. 81–103, 1997. View at Publisher · View at Google Scholar · View at Scopus
  7. V. A. Cooper, V.-T.-V. Nguyen, and J. A. Nicell, “Calibration of conceptual rainfall-runoff models using global optimisation methods with hydrologic process-based parameter constraints,” Journal of Hydrology, vol. 334, no. 3-4, pp. 455–466, 2007. View at Publisher · View at Google Scholar · View at Scopus
  8. M. K. Gill, Y. H. Kaheil, A. Khalil, M. McKee, and L. Bastidas, “Multiobjective particle swarm optimization for parameter estimation in hydrology,” Water Resources Research, vol. 42, no. 7, Article ID W07417, 2006. View at Publisher · View at Google Scholar · View at Scopus
  9. C. Zhang and Y.-Y. Sun, “Automatic calibration of conceptual rainfall-runoff models,” Applied Mechanics and Materials, vol. 405–408, pp. 2185–2189, 2013. View at Publisher · View at Google Scholar · View at Scopus
  10. J. A. Vrugt, H. V. Gupta, L. A. Bastidas, W. Bouten, and S. Sorooshian, “Effective and efficient algorithm for multiobjective optimization of hydrologic models,” Water Resources Research, vol. 39, no. 8, pp. SWC51–SWC519, 2003. View at Google Scholar · View at Scopus
  11. B. A. Tolson and C. A. Shoemaker, “Dynamically dimensioned search algorithm for computationally efficient watershed model calibration,” Water Resources Research, vol. 43, no. 1, 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. R. J. Zhao, Y. L. Zhuang, L. R. Fang et al., “The Xin'anjiang model in hydrological forecasting,” in Proceeding of the Oxford Symposium, vol. 129, pp. 351–356, IAHS Publication, April 1980.
  13. R. J. Zhao, “The Xin’anjiang model applied in China,” Journal of Hydrology, vol. 135, no. 1–4, pp. 371–381, 1992. View at Publisher · View at Google Scholar · View at Scopus
  14. V. T. Chow, Handbook of Applied Hydrology, McGaw-Hill, New York, NY, USA, 1964.
  15. N. J. Potter and F. H. S. Chiew, “An investigation into changes in climate characteristics causing the recent very low runoff in the southern Murray-Darling Basin using rainfall-runoff models,” Water Resources Research, vol. 47, no. 10, 2011. View at Publisher · View at Google Scholar · View at Scopus
  16. Q. Y. Duan, V. K. Gupta, and S. Sorooshian, “Shuffled complex evolution approach for effective and efficient global minimization,” Journal of Optimization Theory and Applications, vol. 76, no. 3, pp. 501–521, 1993. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  17. Q. Duan, S. Sorooshian, and V. K. Gupta, “Optimal use of the SCE-UA global optimization method for calibrating watershed models,” Journal of Hydrology, vol. 158, no. 3-4, pp. 265–284, 1994. View at Publisher · View at Google Scholar · View at Scopus
  18. J. A. Nelder and R. Mead, “A simplex method for function minimization,” The Computer Journal, vol. 7, no. 4, pp. 308–313, 1965. View at Publisher · View at Google Scholar
  19. W. L. Price, “Global optimization algorithms for a CAD workstation,” Journal of Optimization Theory and Applications, vol. 55, no. 1, pp. 133–146, 1987. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  20. J. H. Holland, Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, Mich, USA, 1975. View at MathSciNet
  21. J. E. Nash and J. V. Sutcliffe, “River flow forecasting through conceptual models part I—a discussion of principles,” Journal of Hydrology, vol. 10, no. 3, pp. 282–290, 1970. View at Publisher · View at Google Scholar · View at Scopus
  22. V. P. Singh, Computer Models of Watershed Hydrology, Water Resources Publication, Boulder, Colo, USA, 1995.