References
- Abrahart, R.J., See, Linda M, Solomatine, and Dimitri, P. (2008). Practical Hydroinformatics: Computational Intelligence and Technological Developments in Water Applications. Springer.
- Bae, D.H., Jeong, D.M., and Kim, G. (2007) "Monthly dam inflow forecasting using weather forecasting information and neuro-fuzzy technique." Hydrological Sciences Journal, Vol. 52, No. 22, pp. 99-113. https://doi.org/10.1623/hysj.52.1.99
- Bezdek, J.C. (1981) Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York.
- Byun, D.H. (2009). Dam InflowForecasts Using Short-Term Numerical Weather Forecast Data. MS. thesis, Sejong University, Korea.
- Chiu, S. (1994) "Fuzzy Model Identification Based Cluster Estimation." Journal of Intelligent & Fuzzy Systems, Vol. 2, No. 3, 1994.
- Daniel, W.K., and Arlen, D.F. (1998) "Evolution of Clark's Unit Graph Method to Spatially Distributed Runoff." Journal of Hydrologic Engineering. Vol. 3, No. 1, pp. 9-19 https://doi.org/10.1061/(ASCE)1084-0699(1998)3:1(9)
- Dastorani, M.T., Afkhami, H., Sharifidarani, H., and Dastorani, M. (2010). "Application of ANN and ANFIS Models on Dryland Precipitation Prediction (Case Study: Yazd in Central Iran)" Journal of Applied Sciences, Asian Network for Scientific Information, Vol. 10, No. 20, pp. 2387-2394.
- Davies, T., Cullen, M.J.P., Malcolm, A.J., Mawson, M.H., Staniforth, A., White, A.A., and Wood, N. (2005) "A new dynamical core for the Met Office's global and regional modeling of the atmosphere." Q. J. R. Meteorol. Soc., Vol. 131, pp. 1759-1782. https://doi.org/10.1256/qj.04.101
- Fread, D.L. (1985) National Weather Service Operational Dynamic Wave Model, Hydrologic Research Laboratory, NWS.
- Germann, U., and Zawadzki, I. (2002) "Scale-dependence of the predictability of precipitation from continental RADAR images. Part I: Description of the methodology." Monthly Weather Review, Vol. 130, Issue 12, pp. 2859-2873. https://doi.org/10.1175/1520-0493(2002)130<2859:SDOTPO>2.0.CO;2
- Germann, U., and Zawadzki, I. (2004) "Scale-dependence of the predictability of precipitation from continental RADAR images. Part II: Probability forecasts." Journal of Applied Meteorology, Vol. 43, Issue 1, pp. 74-89. https://doi.org/10.1175/1520-0450(2004)043<0074:SDOTPO>2.0.CO;2
- Jang, D.E. (2009). Present Condition and Plan for Very Short-Term Precipitation Forecasting at KMA. 10th RADAR Workshop, National Institute of Meteorological Research, Korea.
- Jang, J.S.R. (1993). "ANFIS: Adaptive Network-Based Fuzzy Inference System." IEEE Trans. on Sstem, Man and Cybernetics, Vol. 23, No. 3, pp. 665-685. https://doi.org/10.1109/21.256541
- Jung, S.H. (2006). Improvement of Radar Rainfall Intensity and Real-Time Estimation of Areal Rainfall. MS. thesis, Kyongpook National University, Korea.
- Kim, B.K., Jang, D.W., Yang, D.M., and Yoo, C.S. (2009). "Accuracy Consideration of MAPLE Data Vary Short-Term Forecasting Model." Water for Future, Korea Water Resources Association, Korea, Vol. 42, No. 12, pp. 52-64.
- Kim, J.H. (2007). The Development and Application of Algorithm for Real-Time Z-R Relationship by Precipitation Type. Ph.D. dissertation, Pukyong National University, Korea.
- Kim, J.H. (2009a). Comparative Analysis of Radar Image Rainfall and Point Rainfall. MS. thesis, University of Suwon, Korea.
- Kim, J.H. (2011b). Optimal Operation of Daechung Dam Using Adaptive Neuro-Fuzzy Inference System. MS. thesis, Kyung Hee University, Korea.
- Kim, K.J. (2009b). Improvement of the accuracy of radar rainfall measurement for hydrological application and the optimization of ground rain gage network. Ph.D. dissertation, Korea University, Korea.
- Kim, K.P. (2011a). Applicability of the Distributed Rainfall-RunoffModel in Nam-River Basin. MS. thesis, GyeongSang National University, Korea.
- Ko, K.Y. (2010). Study on Runoff Prediction using Artificial Neural Network. MS. thesis, Kyungbuk University, Korea.
- Korea Meteorological Administration (2005). Construction and Test-Operation of Korea Weather Research & Forecasting Model.
- Lee, H.C. (2008). "Test Operation Implementation of Very Short-Term Forecasting Model." News Letter, National Institute of Meteorological Research, Korea, No. 49, p. 6.
- Lee, M.H. (2010a). A Study of a Distributed Flood Runoff Model for Its Application. Ph.D. dissertation, Ajou University, Korea.
- Lee, W.G. (2010b). Estimation of Resonable Radar Grid Size Using SWAT Model. MS. thesis, Yonsei University, Korea.
- Metcalf & Eddy Inc. Palo Alto (1971). Storm water management model. Vol. I-IV, U.S.EPA report.
- Meteorological Research Institute (2004). Development of Regional Climate Change Scenario for the National Climate Change Report. Korea Meteorological Association, Korea.
- Michael, L.T., and John, B.S. (1974) The Illinois Urban Drainage Area Simulator, ILLUDAS, Bulletin 58.
- National Institute of Meteorological Research (2000). Development of the numerical medium-long range forecast system.
- National Institute of Meteorological Research (2006). Study on improving the skill of precipitation forecast in a short-range.
- Park, K.N. (2009). A Study on the Rainfall Estimation Using Radar Satellite Image in Ungaged Watershed. MS. thesis, University of Suwon, Korea.
- Shin, G.W., Kim, J.H., Yang, J.R., and Hong, S.T. (2011). "Development of Water Demand Forecasting Simulator and Performance Evaluation." Journal of Korean Society ofWater and Wastewater, Korean Society of Water and Wastewater, Korea, Vol. 25, No. 4, pp. 581-589.
- Srinivasan, R., and Arnold, J.G. (1994) "Integration of a Basin-Scale Water Quality Model with GIS." Journal of the American Water Resources Association, Vol. 30, Issue 3, pp. 453-462. https://doi.org/10.1111/j.1752-1688.1994.tb03304.x
- Sun, J., and Crook, N.A. (1997) "Dynamical and microphysical retrieval from Doppler RADAR observation using a clou model and its adjoint. Part I: Model development and simulated data experiments." J. Atmos. Sci., Vol. 54, pp. 1642-1661. https://doi.org/10.1175/1520-0469(1997)054<1642:DAMRFD>2.0.CO;2
- Sun, J., and Crook, N.A. (2001). "Real-time low-level wind and temperature analysis using single WSR- 88D data."Weather Forecasting, Vol. 15, pp. 117-132.
- The Math Works, Inc. (2006). Fuzzy Logic Toolbox User's Guide. pp. 2-107-2-110.
- U.S. Army Corps of Engineers. (1968). Hydrologic Engineering Methods for Water Resource Development, Hydrologic Engineering Center, Davis, California.
- U.S. Army Corps of Engineers. (1974). Urban stormwater runoff-STORM. Computer Program 723-58 L2520, Hydrologic Engineering Center, Davis, California.
- U.S. Army Corps of Engineers. (1998). HEC-RAS River Analysis System User's Manual. Hydrologic Engineering Center, Davis, California.
- U.S. Army Corps of Engineers. (1999). HEC-HMS User's Manal.
- Vieux. (2001). Vflo. Vieux & Assoiates, Inc.
- Watkins, L.H. (1962). The design of urban sewer systems. Road Reasearch Lab., Technical Paper 55, p. 96.
- Won, Y.S. (2007). Development of Long Term Rainfall-Runoff Model of Combined Surface and Ground Water. Ph.D. dissertation, Ajou University, Korea, p. 7.
- Yun, J.S. (2009). The Correction ofMean-Field Bias and Estimation of its Application to Rainfall-Runoff Analysis. MS. thesis, Korea University, Korea.
- Zadeh, R. (1965). "Fuzzy Set Theory." Information and Control, Vol. 8, pp. 338-353. Elsevier https://doi.org/10.1016/S0019-9958(65)90241-X