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JDR Vol.7 No.5 pp. 534-539
(2012)
doi: 10.20965/jdr.2012.p0534

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Flood Forecasting Module of the Distributed Hydrological Model EasyDHM

Xiaohui Lei, Weihong Liao, Yunzhong Jiang,
and Hao Wang

State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, A966, 1# Yuyuantan Rd., Haidian District, Beijing City, P. R. China

Received:
July 17, 2012
Accepted:
September 8, 2012
Published:
October 1, 2012
Creative Commons License
Keywords:
flood forecasting, auto-calibration, distributed hydrological model, real-time flood correction, EasyDHM
Abstract
A flood forecasting module of the independentlydeveloped distributed hydrological model EasyDHM is developed mainly aiming to support the flood operational management. In this flood forecasting module, the accuracy of hydrological simulation is the most important task. In order to increase accuracy, some new techniques such as the management of initial parameters, management and adaptive interpolation of realtime weather information data, autocalibration of parameters, real-time flood correction, and multimodel combination techniques are introduced to this module. The module is then applied to the Nen River basin in China for confirmation of results. It is revealed that the accuracy of simulation results from the flood forecasting module is obviously higher than that from regular simulation in EasyDHM, and this independent flood module is of great importance for flood forecast and management projects.
Cite this article as:
X. Lei, W. Liao, Y. Jiang, and H. Wang, “Flood Forecasting Module of the Distributed Hydrological Model EasyDHM,” J. Disaster Res., Vol.7 No.5, pp. 534-539, 2012.
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References
  1. [1] D. P. Boyle, H. V. Gupta, S. Sorooshian, V. Koren, Z. Zhang, and M. Smith, “Toward improved streamflow forecast: value of semidistributed modeling,” Water Resources Research, Vol.37, No.11, pp. 2749-2759, 2001.
  2. [2] R. J. Moore, “The probability-distributed principle and runoff production at point and basin scale,” Hydrological Sciences Journal, Vol.30, No.2, pp. 273-297, 1985.
  3. [3] R. Zhao, “Watershed Hydroloigcal Simulation,” Hydraulic and Electric Power Press, Beijing, China, 1984 (in Chinese).
  4. [4] Y. Jia, H.Wang, G. Ni, D. Yang, J.Wang, and D. Qing, “The Theory and Application of Distributed Hydrological Model,” China Water Resources and Hydropower Press, Beijing, China, 2005 (in Chinese).
  5. [5] X. Rui and G. Huang, “The Present and the Future of Distributed Hydrological model,” Hydropower Techonology Advance, Vol.24, No.2, pp. 55-58, 2004 (in Chinese).
  6. [6] Z. Wang, O. Batelaan, and F. De Smedt, “A distributed model for water and energy transfer between soil, plants and atmosphere (WetSpa),” Physics and Chemistry of the Earth, Vol.21, pp. 189-193, 1996.
  7. [7] A. Van Griensven, T. Meixner, S. Grunwald, T. Bishop, M. Diluzio, and S. Srinivasan, “A global sensitivity analysis tool for the parameters of multi-variable catchment models,” Journal of Hydrology, Vol.324, pp. 10-23, 2006.
  8. [8] S. L. Neitsch, J. G. Arnold, J. R. Kiniry, and J. R. Williams, “Soil and water assessment tool theoretical documentation (Version 2005),” 2005.
  9. [9] M. D.McKay, R. J. Beckman, andW. J. Conover, “A comparison of three methods for selecting values of input variables in the analysis of output from a computer code,” Technometrics, Vol.21, No.2, pp. 239-245, 1979.
  10. [10] M. D. Morris, “Factorial sampling plans for preliminary computational experiments,” Tecnometrics, Vol.33, No.2, pp. 161-174, 1991.
  11. [11] Q. Duan, V. K. Gupta, and S. Sorooshian, “Effective and efficient global optimization for conceptual rainfall-runoff models,” Water Resources Research, Vol.28, pp. 1015-1031, 1992.
  12. [12] J. H. Holland, “Adaptation in Natural and Artificial Systems,” Univ. of Mich. Press, Ann Arbor, USA, 1975.
  13. [13] S. Sorooshian, Q. Duan, and V. K. Gupta, “Calibration of rainfallrunoff models: Application of global optimization to the Sacramento soil moisture accounting model,”Water Resources Research, Vol.29, pp. 1185-1194, 1993.

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