Fig. 1. Structure of SOM
Fig. 2. Study Area : Gangnam Drainage District
Fig. 3. Simulation Result for Verification
Fig. 4. Flow Chart of Flood Range Prediction
Fig. 5. RDF1(Rainfall-Duration-Total Overflow) Curve
Fig. 6. RDF2(Rainfall-Duration-Average Inundation Area) Curve
Fig. 7. Result of SOM
Fig. 8. Observed Rainfall Event at Gangnam District (9/21/2010)
Fig. 9. Simulation Result with 2D Analysis Model
Fig. 10. Prediction Results through Linkage of RDF Relationship Curve and SOM
Table 1. Database for RDF Relationship Curve
Table 2. R-square Value of RDF Relationship Curve
Table 3. Selected Equation for RDF Relationship Curve
Table 4. Estimated Result from RDF Relationship Curve
Table 5. Error Analysis with Prediction Result
참고문헌
- Bae, D. H., Shim, J. B. and Yoon, S. S. (2012). "Development and assesment of flow nomograph for the real-time flood forecasting in Cheonggye stream." Journal Korea Water Resour. Assoc., Vol. 45, No. 11, pp. 1107-1119 (in Korean). https://doi.org/10.3741/JKWRA.2012.45.11.1107
- Chang, F. J., Chang, L. C. and Wang, Y. S. (2007). "Enforced self-organizing map neural networks for river flood forecasting." Hydrological Process, Vol. 21, pp. 741-749. https://doi.org/10.1002/hyp.6262
- Choi, H. G., Han, K. Y., Roh, H. S. and Park, S. J. (2013). "Comparison of data-based real-time flood forecasting model." Journal Korean Society of Civil Engineers, Vol. 33, No. 5, pp. 1809-1827 (in Korean). https://doi.org/10.12652/Ksce.2013.33.5.1809
- Choi, S. M., Yoon, S. S. and Choi, Y. J. (2015). "Evaluation of high-resolution QPE data for urban runoff analysis." Journal Korea Water Resour. Assoc., Vol. 48, pp. 719-728 (in Korean). https://doi.org/10.3741/JKWRA.2015.48.9.719
- Han, K. Y. (2012). Flood Disaster Mitigation. R&D Press.
- Huber, W. C. and Dickson, R. E. (1988). Storm Water Management Model. User's Manual Ver. 4, U.S. EPA.
- Jang, S. H., Yoon, J. Y. and Yoon, Y. N. (2006). "A study on the improvement of Huff's method in Korea: I. Review of applicability of Huff's method in Korea." Journal Korea Water Resour. Assoc, Vol. 39, pp. 767-777, doi:10.3741/JKWRA.2006.39.9.767 (in Korean with Englishabstract).
- Jo, D. J. and Jeon, B. H. (2014). "Development of flood nomograph for inundation forecasting in urban districts." Journal of KOSHAM, Vol. 13, No. 3, pp. 37-42 (in Korean).
- Kalteh, A. M., Hjorth, P. and Berndtsson, R. (2008). "Review of the self-organizing map (SOM) approach in water resources : Analysis, modeling and application." Elsevier Environmental Modelling & software, Vol. 23, pp. 835-845. https://doi.org/10.1016/j.envsoft.2007.10.001
- Keum, H. J., Kim, H. I. and Han, K. Y. (2018). "Real-TIME forecast of rainfall impact on urban inundation." Journal of the Korean Association of Geographic Information Studies, Vol. 21, No. 3, pp. 76-91. https://doi.org/10.11108/KAGIS.2018.21.3.076
- Kim, H. I., Keum, H. J. and Han, K. Y. (2018). "Application and comparison of dynamic artificial neural networks for urban inundation analysis." Journal of the Korea Society of Civil Engineers, Vol. 38, No. 5, pp. 671-684 (in Korean). https://doi.org/10.12652/Ksce.2018.38.5.0671
- Lee, B. H. (2006). "A study on the characteristics and composition direction of urban flood control system." Water and Future, pp. 50-54.
- Lopez, M., Valero, S., Senabre, C., Aparichi, J. and Gabaldon, A. (2012). "Application of SOM neural networks to short-term load forecasting : The Spanish electricity market case study." Elsevier Electric Power Systems Research, Vol. 91, pp. 18-27. https://doi.org/10.1016/j.epsr.2012.04.009
- Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D. and Veith, T. L. (2007). "Model evaluation guidelines for systematic quantification of accuracy in watershed simulations." ASABE., Vol. 50, No. 3, pp. 885-900. https://doi.org/10.13031/2013.23153
- Nanda, T., Sahoo, B. and Chatterjee, C. (2017). "Enhancing the applicability of Kohonen Self-Organizing Map (KSOM) estimator for gap-filling in hydrometeorological timeseries data." Journal of Hydrology, Vol. 549, pp. 133-147. https://doi.org/10.1016/j.jhydrol.2017.03.072
- Seoul Metropolitan City (2015). Comprehensive Plan for Storm and Flood Damage Reduction (in Korean).
- Shin, S. Y., Yeo, C. G., Baek, C. H. and Kim, Y. J. (2005). "Mapping inundation areas by flash flood and developing rainfall standards for evacuation in urban settings." Journal of the Korean Association of Geographic Information Studies, Vol. 8, No. 4, pp. 71-80 (in Korean).
- Tsai, M. H., Sung, E. X. and Kang, S. C. (2016). "Data-driven flood analysis and decision support." Nat. Hazards Eearth Syst, Sci. Discuss., doi:10.5194/nhess-2016-141.
- Wu, M. C., Lin, G. F. and Lin, H. Y. (2014). "Improving the forecasts of extreme streamflow by support vector regression with the data extracted by self-organizing map." Hydrological Process, Vol. 28, pp. 386-397. https://doi.org/10.1002/hyp.9584