Preprints
https://doi.org/10.5194/hessd-11-11247-2014
https://doi.org/10.5194/hessd-11-11247-2014
 
10 Oct 2014
10 Oct 2014
Status: this discussion paper is a preprint. It has been under review for the journal Hydrology and Earth System Sciences (HESS). The manuscript was not accepted for further review after discussion.

Prediction of direct runoff hydrographs utilizing stochastic network models: a case study in South Korea

Y. Seo1 and S.-Y. Park2 Y. Seo and S.-Y. Park
  • 1Yeungnam University, Gyeongsan, South Korea
  • 2University of Illinois at Urbana-Champaign, IL, USA

Abstract. In this study, we combine stochastic network models that reproduce the actual width function and the width function based instantaneous unit hydrograph (WFIUH) that directly makes use of a width function and converts it into runoff hydrographs. We evaluated the stochastic network models in terms of reproducing the actual width function and also the robustness of the semi-distributed model (WFIUH) in application to a test watershed in South Korea. The stochastic network model has an advantage that it replicates width functions of actual river networks, whereas the WFIUH has an advantage that the parameter values are physically determined, which can be potentially advantageous in prediction of ungauged basins. This study demonstrates that the combination of the Gibbsian model and the WFIUH is able to reproduce runoff hydrographs not just for the case of uniform rainfall over the test catchment but also for moving storms. Therefore, results of this study indicate that the impact of spatial and temporal rainfall variation on runoff hydrographs can be evaluated by the suggested approach in ungauged basins even without detailed knowledge of river networks. Once the regional similarity in river network configuration is identified, the proposed approach can be potentially utilized to estimate the runoff hydrographs for ungauged basins.

Y. Seo and S.-Y. Park

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

Y. Seo and S.-Y. Park

Y. Seo and S.-Y. Park

Viewed

Total article views: 1,082 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
700 325 57 1,082 91 95
  • HTML: 700
  • PDF: 325
  • XML: 57
  • Total: 1,082
  • BibTeX: 91
  • EndNote: 95
Views and downloads (calculated since 10 Oct 2014)
Cumulative views and downloads (calculated since 10 Oct 2014)
Latest update: 27 May 2022