Performance Measures and Calibration Methods for Hydrologic and Water Quality Models

수문/수질 모형 성능 평가 및 보·검정 기법

  • Published : 2016.05.31

Abstract

Keywords

References

  1. 강문성 외 17인 공저, 2012, 수질모델링의 이해 및 적용, 도서출판 마루북스.
  2. 강문성, 김철겸, 2009, 최근 수질모델링 기법 및 연구동향, 한국관개배수 16(1):9-18.
  3. 송정헌, 강문성, 송인홍, 황순호, 박지훈, 안지현, 2013, 복합영농 관개지구의 배수량 모의 모형의 개발, 한국농공학회논문집 55(3):63-73. https://doi.org/10.5389/KSAE.2013.55.3.063
  4. 송정헌, 송인홍, 김진택, 강문성, 연단위 관개효율 변화를 고려한 관개지구 용수 공급량 모의, 한국수자원학회논문집 48(6):425-438.
  5. 송정헌, 정건희, 강문성, 2014, 최적화 기법을 이용한 수문모형의 매개변수 보정방법 소개 - MATLAB 프로그램을 중심으로 -, 한국농공학회지, 56(2): 16-25.
  6. ASCE, 1993, Criteria for evaluation of watershed models, Journal of Irrigation and Drianage Engineering ASCE 119(3):429-442. https://doi.org/10.1061/(ASCE)0733-9437(1993)119:3(429)
  7. Cho, J., Mostaghimi, S., 2009, Dynamic agricultural non-point source assessment tool (DANSAT): Model application, Biosystems Engineering 102(4): 500-515. https://doi.org/10.1016/j.biosystemseng.2009.01.012
  8. Gan, T.Y., Dlamini, E.M., Biftu, G.F., 1997, Effects of model complexity and structure, data quality, and objective functions on hydrologic modeling, Journal of Hydrology 192(1):81-103. https://doi.org/10.1016/S0022-1694(96)03114-9
  9. Gupta, H.V., Sorooshian, S., Yapo, P.O., 1999, Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration, Journal of Hydrologic Engineering 4(2):135-143. https://doi.org/10.1061/(ASCE)1084-0699(1999)4:2(135)
  10. James, L.D., Burgess, S.J., 1982. Selection, calibration and testing of hydrologic models, Hydrologic Modeling of Small Watersheds, Edited by Haan, C.T., Johnson, H.P., and Brakensiek, D.L., ASAE, St. Joseph, Mich, 437-472.
  11. Jeong, H., Kim, H., Jang, T., Park, S., 2016, Assessing the effects of indirect wastewater reuse on paddy irrigation in the Osan River watershed in Korea using the SWAT model, Agricultural Water Management 163:393-402. https://doi.org/10.1016/j.agwat.2015.08.018
  12. Jesiek, J.B., Wolfe, M.L., 2005, Sensitivity analysis of the Virginia phosphorus index management tool, Transactions of the ASAE 48(5):1773-1781. https://doi.org/10.13031/2013.20011
  13. Kang, M.S., Park, S.W., Lee, J.J., Yoo, K.H., 2006, Applying SWAT for TMDL programs to a small watershed containing rice paddy fields, Agricultural Water Management 79(1):72-92. https://doi.org/10.1016/j.agwat.2005.02.015
  14. Krause, P., Boyle, D.P., Base, F., 2005, Comparison of different efficiency criteria for hydrological model assessment, Advances in Geosciences 5: 89-97. https://doi.org/10.5194/adgeo-5-89-2005
  15. Legates, D.R., McCabe, G.J., 1999, Evaluating the use of "goodness-of-fit" measures in hydrologic and hydroclimatic model validation, Water Resources Research 35(1):233-241. https://doi.org/10.1029/1998WR900018
  16. Moriasi, D.N., Arnold, J.G., Van Liew, M.W., Bingner, R.L., Harmel, R.D., Veith, T.L., 2007, Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, Transactions of the ASABE 50(3):885-900. https://doi.org/10.13031/2013.23153
  17. Moriasi, D.N., Gitau, M.W., Pai, N., Daggupati, P., 2015, Hydrologic and water quality models: Performance measures and evaluation criteria, Transactions of the ASABE 58(6):1763-1785. https://doi.org/10.13031/trans.58.10715
  18. Nash, J.E., Sutcliffe, J.V., 1970, River flow forecasting through conceptual models part I-a discussion of principles, Journal of Hydrology 10(3):282-290. https://doi.org/10.1016/0022-1694(70)90255-6
  19. Oudin, L., Andreassian, V., Mathevet, T., Perrin, C., Michel, C., 2006, Dynamic averaging of rainfall-runoff model simulations from complementary model parameterizations, Water Resources Research 42(7):W07410.
  20. Pushpalatha, R., Perrin, C., Le Moine, N., Andreassian, V., 2012, A review of efficiency criteria suitable for evaluating low-flow simulations, Journal of Hydrology 420:171-182.
  21. Santhi, C., Arnold, J.G., Williams, J.R., Dugas, W.A., Srinivasan, R., Hauck, L.M., 2001, Validation of the swat model on a large RWER basin with point and nonpoint sources, Journal of the American Water Resources Association 37(5): 1752-1688.
  22. Servat, E., Dezetter, A., 1991, Selection of calibration objective fonctions in the context of rainfall-ronoff modelling in a Sudanese savannah area, Hydrological Sciences Journal 36(4):307-330. https://doi.org/10.1080/02626669109492517
  23. Singh, J., Knapp, H.V., Arnold, J.G., Demissie, M., 2005, Hydrological modeling of the iroquois river watershed using HSPF and SWAT, Journal of the American Water Resources Association 41(2):343-360. https://doi.org/10.1111/j.1752-1688.2005.tb03740.x
  24. Song, J.H., Kang, M.S., Song, I., Jun, S.M., 2016, Water Balance in Irrigation Reservoirs Considering Flood Control and Irrigation Efficiency Variation, Journal of Irrigation and Drainage Engineering 142(4):04016003. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000989
  25. Srivastava, P., Migliaccio, K.W., Simunek, J., 2007, Landscape models for simulating water quality at point, field, and watershed scales, Transactions of the ASABE 50(5):1683-1693. https://doi.org/10.13031/2013.23961
  26. van Esse, W., Perrin, C., Booij, M., Augustijn, D., Fenicia, F., Kavetski, D., Lobligeois, F., 2013, The influence of conceptual model structure on model performance: a comparative study for 237 French catchments, Hydrology and Earth System Sciences 17(10):4227-4239. https://doi.org/10.5194/hess-17-4227-2013
  27. Van Liew, M.W., Arnold, J.G., Garbrecht, J.D., 2003, Hydrologic simulation on agricultural watersheds: Choosing between two models, Transactions of the ASAE 46(6):1539-1551. https://doi.org/10.13031/2013.15643
  28. Willmott, C.J., 1981, On the validation of models, Physical geography 2(2):184-194.