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A Development of Hourly Rainfall Simulation Technique Based on Bayesian MBLRP Model
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 Title & Authors
A Development of Hourly Rainfall Simulation Technique Based on Bayesian MBLRP Model
Kim, Jang Gyeong; Kwon, Hyun Han; Kim, Dong Kyun;
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Stochastic rainfall generators or stochastic simulation have been widely employed to generate synthetic rainfall sequences which can be used in hydrologic models as inputs. The calibration of Poisson cluster stochastic rainfall generator (e.g. Modified Bartlett-Lewis Rectangular Pulse, MBLRP) is seriously affected by local minima that is usually estimated from the local optimization algorithm. In this regard, global optimization techniques such as particle swarm optimization and shuffled complex evolution algorithm have been proposed to better estimate the parameters. Although the global search algorithm is designed to avoid the local minima, reliable parameter estimation of MBLRP model is not always feasible especially in a limited parameter space. In addition, uncertainty associated with parameters in the MBLRP rainfall generator has not been properly addressed yet. In this sense, this study aims to develop and test a Bayesian model based parameter estimation method for the MBLRP rainfall generator that allow us to derive the posterior distribution of the model parameters. It was found that the HBM based MBLRP model showed better performance in terms of reproducing rainfall statistic and underlying distribution of hourly rainfall series.
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Boughton, W. and Droop, O. (2003). "Continuous simulation for design flood estimation - A review." Environmental Modelling and Software, Vol. 18, No. 4, pp. 309-318. crossref(new window)

Cowpertwait, P., Isham, V. and Onof, C. (2007). "Point process models of rainfall: Developments for Fine-scale Structure." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Science, Vol. 463, No. 2086, pp. 2569-2587. crossref(new window)

Duan, Q., Sorooshian, S. and Gupta, V. K. (1994). "Optimal use of the SCE-UA global optimization method for calibrating watershed models." Journal of Hydrology, Vol. 158, No. 3, pp. 265-284. crossref(new window)

Gelman, A., Carlin, J. B., Stern, H. S. and Rubin, D. B. (2003). Bayesian data analysis. CRC press, United States of America.

George, E. I. and McCulloch, R. E. (1993). "Variable selection via Gibbs sampling." Journal of the American Statistical Association, Vol. 88, No. 423, pp. 881-889. crossref(new window)

Kim, K. W. and Yoo, C. S. (2008). "A selection of the point rainfall process model considered on temporal clustering characteristics." Journal of Korea Water Resources Association, Vol. 41, No. 11, pp. 747-759 (in Korean). crossref(new window)

Kyoung, M. S., Sivakumar, B., Kim, H. S. and Kim, B. S. (2008). "Chaotic disaggregation of daily rainfall time series." Journal of Korea Water Resources Association, Vol. 41, No. 9, pp. 959-967 (in Korean). crossref(new window)

Kim, D. K., Shin, J. Y., Lee, S. O. and Kim, T. W. (2013). "The application of the poisson cluster rainfall generation model to the flood analysis." Journal of Korea Water Resources Association, Vol. 46, No. 5, pp. 439-447 (in Korean). crossref(new window)

Onof, C., Chandler, R., Kakou, A., Northrop, P., Wheater, H. and Isham, V. (2000). "Rainfall modelling using Poisson-cluster processes: A review of developments." Stochastic Environmental Research and Risk Assessment, Vol. 14, No. 6, pp. 384-411. crossref(new window)

Rodriguez-Iturbe, I., Cox, D. and Isham, V. (1987). "Some models for rainfall based on stochastic point processes." Proceedings of the Royal Society of London. A, Mathematical and Physical Sciences, Vol. 410, No. 1839, pp. 269-288. crossref(new window)

Rodriguez-Iturbe, I., Cox, D. and Isham, V. (1988). "A point process model for rainfall: Further developments." Proceedings of the Royal Society of London. A, Mathematical and Physical Sciences, Vol. 417, No. 1853, pp. 283-298. crossref(new window)

Vanhaute, W., Vandenberghe, S., Scheerlinck, K., De Baets, B. and Verhoest, N. (2012). "Calibration of the modified Bartlett-Lewis model using global optimization techniques and alternative objective functions." Hydrology and Earth System Sciences, Vol. 16, No. 3, pp. 873-891. crossref(new window)

Verhoest, N., Troch, P. A. and De Troch, F. P. (1997). "On the applicability of Bartlett-Lewis rectangular pulses models in the modeling of design storms at a point." Journal of Hydrology, Vol. 202, No. 1, pp. 108-120. crossref(new window)

Wheater, H., Isham, V., Chandler, R., Onof, C., Stewart, E., Bellone, E., Yang, C., Lekkas, D., Lourmas, G. and Segond M. (2006). Joint DEFRA/EA flood and coastal erosion risk management R&D programme: Improved Methods for National Spatial-temporal Rainfall and Evaporation Modelling for BSM, R&D Technical Report.