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http://dx.doi.org/10.3741/JKWRA.2018.51.3.221

Estimation of optimal runoff hydrograph using radar rainfall ensemble and blending technique of rainfall-runoff models  

Lee, Myungjin (Department of Civil Engineering, Inha University)
Kang, Narae (Korea Institute of Civil Engineering and Building Technology (KICT))
Kim, Jongsung (Department of Civil Engineering, Inha University)
Kim, Hung Soo (Department of Civil Engineering, Inha University)
Publication Information
Journal of Korea Water Resources Association / v.51, no.3, 2018 , pp. 221-233 More about this Journal
Abstract
Recently, the flood damage by the localized heavy rainfall and typhoon have been frequently occurred due to the climate change. Accurate rainfall forecasting and flood runoff estimates are needed to reduce such damages. However, the uncertainties are involved in guage rainfall, radar rainfall, and the estimated runoff hydrograph from rainfall-runoff models. Therefore, the purpose of this study is to identify the uncertainty of rainfall by generating a probabilistic radar rainfall ensemble and confirm the uncertainties of hydrological models through the analysis of the simulated runoffs from the models. The blending technique is used to estimate a single integrated or an optimal runoff hydrograph by the simulated runoffs from multi rainfall-runoff models. The radar ensemble is underestimated due to the influence of rainfall intensity and topography and the uncertainty of the rainfall ensemble is large. From the study, it will be helpful to estimate and predict the accurate runoff to prepare for the disaster caused by heavy rainfall.
Keywords
Rainfall ensemble; Blending technique; Uncertainty; Rainfall-runoff model;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 Ajami, N. K., Duan, Q., Gao, X., and Sorooshian, S. (2006). "Multimodel combination techniques for hydrological forecasting: application to distributed model intercomparison project results." Journal of Hydrometeorol, Vol. 7, No. 4, pp. 755-768.   DOI
2 Bae, Y. H., Kim, B. S., and Kim, H. S. (2010). "The study on flood runoff simulation using runoff model with gauge-adjusted radar data." Journal of Wetlands Research, Vol. 12, No. 1, pp. 51-61.
3 Bates, J. M., and Granger, C. W. (1969). "The combination of forecasts." Journal of the Operational Research Society, Vol. 20, No. 4, pp. 451-468.   DOI
4 Chiang, Y. M., Chang, F. J., Dao Jou, B. J., and Lin, P. F. (2006). "Dynamic ANN for precipitiation estimation and forecasting from radar observation." Journal of Hydrology, Vol. 334, No. 1-2, pp. 250-261.   DOI
5 Dai, Q., Han, D., Rico-Ramirez, M. A., and Islam, T. (2014). "Modelling radar-rainfall estimation uncertainties using elliptical and Archimedean copulas with different marginal distributions." Hydrological Sciences Journal, Vol. 59, No. 11, pp. 1992-2008.   DOI
6 Georgakakos, K. P., Seo, D. J., Gupta, H., Schaake, J., and Butts, M. B. (2004). "Towards the characterization of streamflow simulation uncertainty through multimodel ensembles." Journal of Hydrology, Vol. 298, No. 1, pp. 222-241.   DOI
7 Germann, U., Berenguer, M., Sempere-Torres, D., and Salvade, G. (2006). "Ensemble radar precipitation - a new topic on the radar horizon." Proceeding of the 4th European Conference on Radar in Meteorology and Hydrology ERAD, Barcelona, Spain, September 2006, pp. 18-22.
8 Kang, N. R., Joo, H. J., Lee, M. J., and Kim, H. S. (2017). "Generation of radar rainfall ensemble using probabilistic approach." Journal of Korea Water Resources Association, Vol. 50, No. 3, pp. 155-167.   DOI
9 Kang, N. R., Noh, H. S., Lee, J. S., Lim, S. H., and Kim, H. S. (2013). "Runoff simulation of an urban drainage system using radar rainfall data." Journal of Wetlands Research, Vol. 15, No. 3, pp. 413-422.   DOI
10 Kim, T. J., Lee, D. R., Jang, S. M., and Kwon, H. H. (2017). "Generation of radar rainfall data for hydrological and meteorological application (II): radar rainfall ensemble." Journal of Korea Water Resources Association, Vol. 50, No. 1, pp. 17-28.   DOI
11 Krishnamurti, T. N., Kishtawal, C. M., Zhang, Z., LaRow, T., Bachiochi, D., and Williford, E. (2000). "Multimodel ensemble forecasts for weather and seasonal climate." Journal of Climate, Vol. 13, No. 23, pp. 4196-4216.   DOI
12 Li, W., and Sankarasubramanian, A. (2012). "Reducing hydrologic model uncertainty in monthly streamflow predictions using multimodel combination." Water Resources Research, Vol. 48, No. 12, pp. 1-17.   DOI
13 McLeod, A. I., Noakes, D. J., Hipel, K. W., and Thompstone, R. M. (1987). "Combining hydrologic forecast." Journal of Water Resources Planning and Management, Vol. 113, No. 1, pp. 29-41.   DOI