SYNTHETIC SIMULATION OF STREAMFLOW AND RAINFALL DATA USING DISAGGREGATION MODELS

Authors

  • Nurul Adzura Ismail Department of Hydraulics and Hydrology, Faculty of Civil Engineering, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia.
  • Sobri Harun Department of Hydraulics and Hydrology, Faculty of Civil Engineering, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia.
  • Zulkifli Yusop Institute of Environmental and Water Resources Management, Faculty of Civil Engineering, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia.

DOI:

https://doi.org/10.11113/mjce.v16.15666

Keywords:

Streamflow, Rainfall, Simulation, Disaggregation.

Abstract

Synthetic hydrological series is useful for evaluating water supply management decision and reservoir design. This paper examines stochastic disaggregation models that are capable of reproducing statistical characteristics especially mean and standard deviation of historical data series. Simulation was carried out on both transformed and untransformed streamflow and rainfall series of Sungai Muar. The Synthetic Streamflow Generation Software Package (SPIGOT) model was found to be the most robust for streamflow simulation. On the other hand, the Valencia-Schaake (VLSH) model is more superior for generating rainfall series.

References

Grygier, J.C.and Stedinger, J.R. (1991) SPIGOT: A Synthetic Streamflow Generation Software Package User’s Manual V2.6, School of Civ. and Envir. Eng., Cornell Unversity, Ithaca, N.Y.

Harun, S. (1999) Forecasting and Simulation of Net Inflows for Reservoir Operation and Management. Ph.D. Thesis, University Teknologi Malaysia, 220 pp.

Hipel, K.W., and McLeod, A.I. (1994) Time Series Modeling of Water Resources and Environmental Systems. Elsevier, Amsterdam.

Lane, W.L. (1979). Applied Stochastic Techniques (LAST computer package), User Manual. Division of Planning Technical services, Bureau of Reclamation, Denver, Colarado, USA.

Mejia, J.M., and Rouselle, J. (1976). Disaggregation models in hydrology revisited. Water Resources Research, 12(2): 185-186.

Salas, J.D. (1993) Analysis and modeling of hydrologic time series. In Maidment, D. (Ed.), Handbook of Hydrology, McGraw Hill, New York., p. 19.1-19.72.

Toa, P.C., and Delleur, J.W. (1976) Seasonal and nonseasonal ARMA models. Journal of the Hydraulics Division, 102(HY10): 1541-1559.

Valencia, R.D. and Schaake, J.C. (1973) Disaggregation process in stochastic hydrology. Water Resources Research, 9(3): 1295-1306.

Yevjevich, V. (1989) General introduction to application of stochastic hydrology in water resources. Proceedings of the NATO Advanced Study Institute on Stochastic Hydrology and its use in Water Resources Systems Simulation and Optimization, Peñíscola, Spain. 18-29 September 1989

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Published

2018-03-19

Issue

Vol. 16 No. 2 (2004)

Section

Articles

How to Cite

SYNTHETIC SIMULATION OF STREAMFLOW AND RAINFALL DATA USING DISAGGREGATION MODELS. (2018). Malaysian Journal of Civil Engineering, 16(2). https://doi.org/10.11113/mjce.v16.15666