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Analysis of Flood Events at Bukil, Korea using PDMM Rainfall Runoff Model

  • Crisisonomy
  • Abbr : KRCEM
  • 2014, 10(6), pp.137~156
  • Publisher : Crisis and Emergency Management: Theory and Praxis
  • Research Area : Social Science > Public Policy > Public Policy in general

Chang HyungJoon 1 Lee, Hyosang 1

1충북대학교

Accredited

ABSTRACT

Flood event data is a crucial resource for the flood risk assessment. However, there are few catchments which are precise gauged their flood event with sub hourly time step. Therefore, the ungauged catchment issues are especially highlighted in regionalization studies. In this study, the PDMM(Probability Distributed Model with Macro-pre Approach parallel routing structure) model is applied to Bukil, Guem river, Korea. 10 flood event data are carefully employed with Monte Carlo analysis and SCE-UA optimization procedure. The result shows that the PDMM model has acceptable model performance in all flood events, while preferable model performance(NSE*<0.2) in 7 flood events. However, SCE-UA results show marginally better performances. The PDMM model has better performance with larger amount of total rainfall, stronger rainfall intensity and delayed high precipitation time distribution(i.e., 3 rd Huff distribution). This study is a starting point to assess strength and weakness of the PDMM model with event based flood data. Further study will extend number of study catchments and flood events to suggest a general outlines of the PDMM model to Guem river region.

Citation status

* References for papers published after 2023 are currently being built.