Preprints
https://doi.org/10.5194/hess-2017-19
https://doi.org/10.5194/hess-2017-19

  23 Jan 2017

23 Jan 2017

Review status: this preprint was under review for the journal HESS but the revision was not accepted.

Uncertainty quantification in application of linear lumped rainfall-runoff models

Ching-Min Chang and Hund-Der Yeh Ching-Min Chang and Hund-Der Yeh
  • Institute of Environmental Engineering, National Chiao Tung University, Hsinchu, Taiwan

Abstract. This study proposes a stochastic framework for a linear lumped rainfall-runoff problem at the catchment scale. An autoregressive (AR) model is adopted to account for the temporal variability of the rainfall process. For a stochastic description, solutions of the surface flow problem are derived in terms of first two statistical moments of the runoff discharge through the nonstationary Fourier-Stieltjes representation approach. The closed-form expression for the variance of runoff discharge allows to assessing the impacts of rainfall and storage parameters, respectively, on the discharge variability. It is found that the temporal variability of the runoff discharge induced by a random rainfall process persists longer for smaller values of the storage or rainfall parameters.

Ching-Min Chang and Hund-Der Yeh

 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Ching-Min Chang and Hund-Der Yeh

Ching-Min Chang and Hund-Der Yeh

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