Multi parameter optimization framework of an event-based rainfall-runoff model with the use of multiple rainfall events based on DDS algorithm |
Yu, Jae-Ung
(Department of Civil and Environmental Engineering, Sejong University)
Oh, Se-Cheong (Water Resources Facilities Maintenance Department, Korea Water Resources Corporation) Lee, Baeg (Rural Research Institute of Korea Rural Community Corporation) Kwon, Hyun-Han (Department of Civil and Environmental Engineering, Sejong University) |
1 | Kim, J.-Y., Kwon, D.-S., Bae, D.-H., and Kwon, H.-H. (2020). "Bayesian parameter estimation of Clark unit hydrograph using multiple rainfall-runoff data." Journal of Korea Water Resources Association, Vol. 53, No. 5, pp. 383-393. DOI |
2 | Ministry of Environment (ME) (2019). Guideline of design flood estimation,. pp. 25-52. |
3 | Ministry of Land, Infrastructure and Trandsport (MLIT) (2021). Basic river plans in Seomjin River, pp. 3-1-3-16. |
4 | Nash, J.E., and Sutcliffe, J.V. (1970). "River flow forecasting through conceptual models part I - A discussion of principles." Journal of Hydrology, Vol. 10, No. 3, pp. 282-290. DOI |
5 | Natarajan, S., and Radhakrishnan, N. (2019). "Simulation of extreme event-based rainfall - runoff process of an urban catchment area using HEC-HMS." Modeling Earth Systems and Environment, Vol. 5, No. 4, pp. 1867-1881. DOI |
6 | Reshma, T., Venkata Reddy, K., Pratap, D., and Agilan, V. (2018). "Parameters optimization using Fuzzy rule based multi-objective genetic algorithm for an event based rainfall-runoff model." Water Resources Management, Vol. 32, No. 4, pp. 1501-1516. DOI |
7 | Hromadka, T. (1986). San Bernardino county hydrology manual. Irvine, CA, U.S. |
8 | Ajmal, M., Waseem, M., Ahn, J.-H., and Kim, T.-W. (2015). "Improved runoff estimation using event-based rainfall-runoff models." Water Resources Management, Vol. 29, No. 6, pp. 1995-2010. DOI |
9 | Chua, L.H., and Wong, T.S. (2010). "Improving event-based rainfall - runoff modeling using a combined artificial neural network - kinematic wave approach." Journal of Hydrology, Vol. 390, No. 1-2, pp. 92-107. DOI |
10 | Clark, C. (1945). "Storage and the unit hydrograph." Transactions of the American Society of Civil Engineers, Vol. 110, No. 1, pp. 1419-1446. DOI |
11 | Jung, Y.-Y., Yang, S.-K., and Kim, D.-S. (2014). "Flood discharge to decision of parameters in Han Stream watershed." Journal of Environmental Science International, Vol. 23, No. 4, pp. 533-541. DOI |
12 | Kan, G., Yao, C., Li, Q., Li, Z., Yu, Z., Liu, Z., Ding, L., He, X., and Liang, K. (2015). "Improving event-based rainfall-runoff simulation using an ensemble artificial neural network based hybrid data-driven model." Stochastic Environmental Research and Risk Assessment, Vol. 29, No. 5, pp. 1345-1370. DOI |
13 | Ahmad, M.M., Ghumman, A.R., and Ahmad, S. (2009). "Estimation of Clark's instantaneous unit hydrograph parameters and development of direct surface runoff hydrograph." Water Resources Management, Vol. 23, No. 12, pp. 2417-2435. DOI |
14 | Kalin, L., Isik, S., Schoonover, J.E., and Lockaby, B.G. (2010). "Predicting water quality in unmonitored watersheds using artificial neural networks." Journal of Environmental Quality, Vol. 39, No. 4, pp. 1429-1440. DOI |
15 | Berthet, L., Andreassian, V., Perrin, C., and Javelle, P. (2009). "How crucial is it to account for the antecedent moisture conditions in flood forecasting? Comparison of event-based and continuous approaches on 178 catchments." Hydrology and Earth System Sciences, Vol. 13, No. 6, pp. 819-831. DOI |
16 | Che, D., Nangare, M., and Mays, L.W. (2014). "Determination of Clark's Unit Hydrograph parameters for watersheds." Journal of Hydrologic Engineering, Vol. 19, No. 2, pp. 384-387. DOI |
17 | Duan, Q., Sorooshian, S., and Gupta, V. (1992). "Effective and efficient global optimization for conceptual rainfall-runoff models." Water Resources Research, Vol. 28, No. 4, pp. 1015-1031. DOI |
18 | Lee, D.H., Choi, J.I., Shin, S.H., and Yi, J.E. (2013). "A study on proper number of subbasin division for runoff analysis using Clark and ModClark methods in Midsize Basins." Journal of Civil and Environmental Engineering Research, KSCE, Vol. 33, No. 1, pp. 157-170. |
19 | Sarkar, A., and Kumar, R. (2012). "Artificial neural networks for event based rainfall-runoff modeling." Journal of Water Resource and Protection, Vol. 4, No. 10, pp. 891-897. DOI |
20 | Tolson, B.A., and Shoemaker, C.A. (2007). "Dynamically dimensioned search algorithm for computationally efficient watershed model calibration." Water Resources Research, Vol. 43, No. 1, pp. 1-16. |
21 | Yoon, T.H, and Park, J.W. (2002). "Improvement of the storage coefficient estimating method for the Clark model." Proceedings of the Korea Water Resources Association Conference, KWRA, pp. 1334-1339. |
22 | Sabol, G.V. (1988). "Clark unit hydrograph and R-parameter estimation." Journal of Hydraulic Engineering, Vol. 114, No. 1, pp. 103-111. DOI |