DEVELOPMENT OF A REAL-TIME RUNOFF PREDICTION SYSTEMS USING PARTICLE FILTER AND ACCURACY COMPARISON OF PREDICTION SYSTEMS WITH DIFFERENT STATE VARIABLES
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Publisher
Japan Society of Civil Engineers
Link
https://www.jstage.jst.go.jp/article/jscejhe/74/2/74_32/_pdf
Reference5 articles.
1. 9) Noh, S. J., Tachikawa, Y., Shiiba, M. and Kim, S. : Dual state-parameter updating scheme on a conceptual hydrologic model using sequential Monte Carlo filters, Journal of JSCE, Ser. B1 (Hydraulic Engineering), Vol. 67, No. 4, pp. I_1-I_6, 2011.
2. 10) Noh, S. J., Tachikawa, Y., Shiiba, M. and Kim, S. : Applying sequential Monte Carlo methods into a distributed hydrologic model: lagged particle filtering approach with regularization, Hydrol. Earth Syst. Sci., Vol. 15, pp. 3237-3251, 2011.
3. 11) Noh, S. J., Tachikawa, Y., Shiiba, M. and Kim, S. : Ensemble Kalman filtering and particle filtering in a lag-time window for short-term streamflow forecasting with a distributed hydrologic model, Journal of Hydrologic Engineering, ASCE, Vol. 18, No. 12, pp. 1684-1696, 2013.
4. 13) Kim, Y., Tachikawa, Y., Kim, S., Shiiba, M., Yorozu, K. and Noh, S. J. : Short term prediction of water level and discharge using a 2D dynamic wave model with particle filters, Journal of JSCE, Ser. B1 (Hydraulic Engineering), Vol. 68, No. 4, pp. I_25-I_30, 2012.
5. 14) Kim, Y., Tachikawa, Y., Kim, S., Shiiba, M. and Noh, S. J. : Estimating the 2011 largest flood discharge at the Kumano River using a 2D dynamic wave model and particle filters, Journal of JSCE, Ser. B1 (Hydraulic Engineering), Vol. 69, No. 4, pp. I_163-I_168, 2013.
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