References
- 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, p. 37. Available from: http://www.ncl.ac.uk/medaction.
- Bathurst, J.C., Moretti, G., El-Hames, A., Moaven-Hashemi, A., and Burton, A. (2005). "Scenario modeling of basinscale, shallow landslide sediment yield, Valsassina, Italian Southern Alps." Natural Hazards and Earth System Sciences, Vol. 5, pp. 189-202. https://doi.org/10.5194/nhess-5-189-2005
- Brath, A., Montanari, A., and Moretti, G. (2006). "Assessing the effect on flood frequency of land use change via hydrological simulation(with uncertainty)." Journal of Hydrology, Vol. 324, Issues 1-4, pp. 141-153. https://doi.org/10.1016/j.jhydrol.2005.10.001
- Burton, A., Kilsby, C.G., Fowler, H.J., Cowpertwait, P.S.P., and O'Connell, P.E. (2008). "RainSim: a spatialtemporal stochastic rainfall modelling system." Environmental Modelling & Software, Vol. 23, Issue 12, pp. 1356-1369. https://doi.org/10.1016/j.envsoft.2008.04.003
- Cho, H., Kim, D., Olivera, F., and Guikema, S. (2011). "Enhanced speciation in particle swarm optimization for multi-modal problems." European Journal of Operations Research, Vol. 213, Issue 1, pp. 15-23. https://doi.org/10.1016/j.ejor.2011.02.026
- Cowpertwait, P.S.P., O'Connell, P.E., Metcalfe, A.V., and Mawdsley, J.A. (1996). "Stochastic point process modelling of rainfall. II. Regionalisation and disaggregation." Journal of Hydrology, Vol. 175, pp. 47-65. https://doi.org/10.1016/S0022-1694(96)80005-9
- 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, 12-14 September 2006, Newcastle upon Tyne. Aqua Enviro, pp. 10.
- 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 ofHydrology, Vol. 308, Issues 1-4, pp. 50-66. https://doi.org/10.1016/j.jhydrol.2004.10.021
- 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.
- Kim, D., Lee, S., Choi, M., and Jung, Y. (2012). "Regionalization of the modified Bartlett-Lewis Rectangular Pulse rainfall model across Korean Peninsular." Submitted to Stochastic and Environmental Research and Risk Analysis.
- Korea Meteorological Administration (2012). "http://www.kma.go.kr/weather/observation/past_cal.jsp
- 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. Brath, A. Montanari, E. Toth (eds.), Hydrological Risk: Recent Advances in Peak River FlowModelling, Prediction and Real-Time Forecasting-Assessment of the Impacts of Land-Use and Climate Changes. BIOS, Cosenza, Italy, pp. 113-128.
- 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, Issue 9, pp. 933-944. https://doi.org/10.1002/ps.1587
- 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.
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