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  • Volume 46, Issue 3

Probabilistic nature of storage delay parameter of the hydrologic model RORB: a case study for the Cooper's Creek catchment in Australia

Hitesh Patel, Ataur Rahman
Published June 2015, 46 (3) 400-410; DOI: 10.2166/nh.2014.172
Hitesh Patel
School of Computing, Engineering and Mathematics, University of Western Sydney, Australia E-mail: a.rahman@uws.edu.au
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Ataur Rahman
School of Computing, Engineering and Mathematics, University of Western Sydney, Australia E-mail: a.rahman@uws.edu.au
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Abstract

In rainfall–runoff modeling, Design Event Approach is widely adopted in practice, which assumes that the rainfall depth of a given annual exceedance probability (AEP), can be converted to a flood peak of the same AEP by assuming a representative fixed value for the other model inputs/parameters such as temporal pattern, losses and storage-delay parameter of the runoff routing model. This paper presents a case study which applies Monte Carlo simulation technique (MCST) to assess the probabilistic nature of the storage delay parameter (kc) of the RORB model for the Cooper's Creek catchment in New South Wales, Australia. It has been found that the values of kc exhibit a high degree of variability, and different sets of plausible values of kc result in quite different flood peak estimates. It has been shown that a stochastic kc in the MCST provides more accurate design flood estimates than a fixed representative value of kc. The method presented in this study can be adapted to other catchments/countries to derive more accurate design flood estimates, in particular for important flood study projects, which require a sensitivity analysis to investigate the impacts of parameter uncertainty on design flood estimates.

  • floods
  • Monte Carlo simulation
  • RORB
  • runoff routing
  • storage-delay parameter
  • First received 29 October 2013.
  • Accepted in revised form 5 February 2014.
  • © IWA Publishing 2015
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Hydrology Research: 49 (2)
  Volume 46, Issue 3

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Probabilistic nature of storage delay parameter of the hydrologic model RORB: a case study for the Cooper's Creek catchment in Australia
Hitesh Patel, Ataur Rahman
Hydrology Research Jun 2015, 46 (3) 400-410; DOI: 10.2166/nh.2014.172
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Probabilistic nature of storage delay parameter of the hydrologic model RORB: a case study for the Cooper's Creek catchment in Australia
Hitesh Patel, Ataur Rahman
Hydrology Research Jun 2015, 46 (3) 400-410; DOI: 10.2166/nh.2014.172

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Keywords

floods
Monte Carlo simulation
RORB
runoff routing
storage-delay parameter
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