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Evaluation of the Applicability of the Poisson Cluster Rainfall Generation Model for Modeling Extreme Hydrological Events
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 Title & Authors
Evaluation of the Applicability of the Poisson Cluster Rainfall Generation Model for Modeling Extreme Hydrological Events
Kim, Dong-Kyun; Kwon, Hyun-Han; Hwang, Seok Hwan; Kim, Tae-Woong;
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 Abstract
This study evaluated the applicability of the Modified Bartlett-Lewis Rectangular Pulse (MBLRP) rainfall generation model for modeling extreme rainfalls and floods in Korean Peninsula. Firstly, using the ISPSO (Isolated Species Particle Swarm Optimization) method, the parameters of the MBLRP model were estimated at the 61 ASOS (Automatic Surface Observation System) rain gauges located across Korean Peninsula. Then, the synthetic rainfall time series with the length of 100 years were generated using the MBLRP model for each of the rain gauges. Finally, design rainfalls and design floods with various recurrence intervals were estimated based on the generated synthetic rainfall time series, which were compared to the values based on the observed rainfall time series. The results of the comparison indicate that the design rainfalls based on the synthetic rainfall time series were smaller than the ones based on the observation by 20% to 42%. The amount of underestimation increased with the increase of return period. In case of the design floods, the degree of underestimation was 31% to 50%, which increases along with the return period of flood and the curve number of basin.
 Keywords
Extreme flood;Extreme rainfall;Poisson cluster;Rainfall generation model;
 Language
Korean
 Cited by
1.
A development of downscaling scheme for sub-daily extreme precipitation using conditional copula model, Journal of Korea Water Resources Association, 2016, 49, 10  crossref(new windwow)
 References
1.
Bathurst, J. C. and Bovolo, C. I. (2004). "Development of guidelines for sustainable land management in the agri and cobres target basins." Deliverable 28 of the EU funded MEDACTION Project, pp. 37, Available at: http://www.ncl.ac.uk/medaction.

2.
Bathurst, J. C., Moretti, G., El-Hames, A., Moaven-Hashemi, A. and Burton, A. (2005). "Scenario modeling of basin-scale, shallow landslide sediment yield, Valsassina, Italian southern alps." Natural Hazards and Earth System Sciences, Vol. 5, pp. 189-202. crossref(new window)

3.
Brath, A., Montanari, A. and Moretti, G. (2006). "Assessing the effect on flood frequency of land use change via hydrological simulation (with uncertainty)." J. Hydrology, Vol. 324, No. 1-4, pp. 141-153. crossref(new window)

4.
Cho, H., Kim, D., Olivera, F. and Guikema, S. (2011). "Enhanced speciation in particle swarm optimization for multi-modal problems." European Journal of Operational Research, Vol. 213, pp. 15-23. crossref(new window)

5.
Dawson, R., Hall, J., Speight, L., Djordjevic, S., Savic, D. and Leandro, J. (2006). "Flood risk analysis to support integrated urban drainage." Proceedings of the Fourth CIWEM Annual Conference on Emerging Environmental Issues and Future Challenges, Newcastle upon Tyne. Aqua Enviro, pp. 12-14.

6.
Fowler, H. J., Kilsby, C. G., O'Connell, P. E. and Burton, A. (2005). "A weather-type conditioned multi-site stochastic rainfall model for the generation of scenarios of climatic variability and change." Journal of Hydrology, Vol. 308, pp. 50-66. crossref(new window)

7.
Gyasi-Agyei, Y. and Willgoose, G. R. (1997). "A hybrid model for point rainfall modeling." Water Resources Research, Vol. 33, No. 7, pp. 1699-1706. crossref(new window)

8.
Hosking, J. R. M. and Wallis, J. R. (2005). Regional frequency analysis: An Approach Based on L-moments, Cambridge University Press.

9.
Khaliq, M. and Cunnane, C. (1996). "Modelling point rainfall occurrences with the modified Bartlett-Lewis rectangular pulses model." Journal of Hydrology, Vol. 180, pp. 109-138. crossref(new window)

10.
Kilsby, C. G., Burton, A., Birkinshaw, S. J., Hashemi, A. M. and O'Connell, P. E. (2000). "Extreme rainfall and flood frequency distribution modelling for present and future climates." Proceedings of the British Hydrological Society Seventh National Hydrology Symposium, pp. 3.51-3.56.

11.
Kim, D. and Olivera, F. (2012). "On the relative importance of the different rainfall statistics in the calibration of stochastic rainfall generation models." Journal of Hydrologic Engineering, Vol. 17, No. 3.

12.
Kim, D., Olivera, F. and Cho, H. (2013a). "Importance of Inter-annual variability of rainfall statistics in stochastically generated rainfall time series - Part I - Impact on peak and extreme rainfall values." Stochastic Environmental Research and Risk Assessment, Vol. 27, pp. 1601-1610. crossref(new window)

13.
Kim, D., Olivera, F., Cho, H. and Lee, S. O., (2013b). "Importance of inter-annual variability of rainfall statistics in stochastically generated rainfall time series, Part II - Impact on watershed response variables." Stochastic Environmental Research and Risk Assessment, Vol. 27, pp. 1611-1619. crossref(new window)

14.
Kim, D., Olivera, F., Cho, H. and Scolofsky, S. (2013c). "Regionalization of the parameters of the modified Bartlett-Lewis rectangular pulse model." Terrestrial, Atmospheric and Oceanic Science, Vol. 24, pp. 421-436. crossref(new window)

15.
Kim, D., Shin, J. Y., Lee, S. O. and Kim, T. W. (2013d). "The application of the Poisson cluster rainfall generation model to the flood analysis." J. Korea Water Resources Association, Vol. 46, No. 5, pp. 439-447 (in Korean). crossref(new window)

16.
Ministry Of Construction and Transportation (MCT) (2000). Research report on water resources management techniques. 1999, Vol. 1, Development of design rainfall maps in Korea, Ministry Of Construction and Transportation, Korea (in Korean).

17.
Ministry of Land, Transport and Maritime Affairs (MLTM) (2011). Improvement and supplement of probability rainfall, Ministry of Land, Transport and Maritime Affairs, Korea (in Korean).

18.
Moretti, G. and Montanari, A. (2004). "Estimation of the peak river flow for an ungauged mountain creek using a distributed rainfall-runoff model." In: A. Breath, A. Montanari, E. Toth (eds.), Hydrological Risk: Recent Advances in Peak River Flow Modelling, Prediction and Real-Time Forecasting -Assessment of the Impacts of Land-Use and Climate Changes, pp. 113-128.

19.
Nolan, B. T., Dubus, I. G., Surdyk, N., Fowler, H. J., Burton, A., Hollis, J. M. Reichenberger, S. and Jarvis, N. J. (2008). "Identification of key climatic factors regulating the transport of pesticides in leaching and to tile drains." Pest Management Science, Vol. 64, No. 9, pp. 933-944. crossref(new window)

20.
Rodriguez-Iturbe, I., Cox, D. R. and Isham, V. (1988). "A point process model for rainfall: Further Developments." Proceedings of the Royal Society of London Series A-Mathematical Physical and Engineering Sciences, Vol. 417, No. 1853, pp. 283-298. crossref(new window)

21.
Shin, J. Y., Joo, K. W., Heo, J. H. (2011). "A study of new modified Neyman-Scott rectangular pulse model development using direct parameter estimation." Journal of Korean Water Resources Association, Vol. 44, No. 2, pp. 135-144 (in Korean). crossref(new window)