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Volumn 57, Issue 1, 2014, Pages 219-229

Uncertainty analysis of hydrological model parameters based on the bootstrap method: A case study of the SWAT model applied to the Dongliao River Watershed, Jilin Province, Northeastern China

Author keywords

bootstrap; hydrological model; parameters; SWAT (Soil and Water Assessment Tool); uncertainty analysis

Indexed keywords

CLIMATE MODELS; WATER MANAGEMENT; WATERSHEDS;

EID: 84892837012     PISSN: 16747321     EISSN: 18691900     Source Type: Journal    
DOI: 10.1007/s11431-013-5385-0     Document Type: Article
Times cited : (25)

References (57)
  • 1
    • 77950862092 scopus 로고    scopus 로고
    • Hydrological cycle simulation of an irrigation district based on a SWAT model
    • 10.1016/j.mcm.2009.10.036
    • Zheng J G, Li Y, Han Z Z, et al. Hydrological cycle simulation of an irrigation district based on a SWAT model. Math Comput Model, 2010, 51: 1312-1318
    • (2010) Math Comput Model , vol.51 , pp. 1312-1318
    • Zheng, J.G.1    Li, Y.2    Han, Z.Z.3
  • 2
    • 84862551093 scopus 로고    scopus 로고
    • Separating impacts of vegetation chang and climate variability on streamflow using hydrological models together with vegetation data
    • 10.1007/s11431-012-4859-9 2887531
    • Li H Y, Zhang Y Q, Wang B D. Separating impacts of vegetation chang and climate variability on streamflow using hydrological models together with vegetation data. Sci China Tech Sci, 2012, 55: 1964-1972
    • (2012) Sci China Tech Sci , vol.55 , pp. 1964-1972
    • Li, H.Y.1    Zhang, Y.Q.2    Wang, B.D.3
  • 3
    • 0037428037 scopus 로고    scopus 로고
    • Application of hydrological models with increasing complexity to subarctic catchments
    • 10.1016/S0022-1694(02)00291-3
    • Linden S V D, Woo M K. Application of hydrological models with increasing complexity to subarctic catchments. J Hydrol, 2003, 270: 145-457
    • (2003) J Hydrol , vol.270 , pp. 145-457
    • Linden, S.V.D.1    Woo, M.K.2
  • 4
    • 0035980580 scopus 로고    scopus 로고
    • Investigating the relationship between a soils classification and the spatial parameters of a conceptual catchment-scale hydrological model
    • 10.1016/S0022-1694(01)00462-0
    • Dunn S M, Lilly A. Investigating the relationship between a soils classification and the spatial parameters of a conceptual catchment-scale hydrological model. J Hydrol, 2001, 252: 157-173
    • (2001) J Hydrol , vol.252 , pp. 157-173
    • Dunn, S.M.1    Lilly, A.2
  • 5
    • 84864349544 scopus 로고    scopus 로고
    • Efficient hyrological model parameter optimization with Sequential Monte Carlo sampling
    • 10.1016/j.envsoft.2012.07.001
    • Jeremiah E, Sisson S A, Sharma A, et al. Efficient hyrological model parameter optimization with Sequential Monte Carlo sampling. Environ Modell Softw, 2012, 38: 283-295
    • (2012) Environ Modell Softw , vol.38 , pp. 283-295
    • Jeremiah, E.1    Sisson, S.A.2    Sharma, A.3
  • 6
    • 35848956584 scopus 로고    scopus 로고
    • The assessment of spatial and temporal transferability of a physically based distributed hydrological model parameters in different physiographic regions of Nepal
    • 10.1016/j.jhydrol.2007.09.016
    • Shrestha S, Bastola S, Babel M S, et al. The assessment of spatial and temporal transferability of a physically based distributed hydrological model parameters in different physiographic regions of Nepal. J Hydrol, 2007, 347: 153-172
    • (2007) J Hydrol , vol.347 , pp. 153-172
    • Shrestha, S.1    Bastola, S.2    Babel, M.S.3
  • 7
    • 84862828410 scopus 로고    scopus 로고
    • Calibration of hydrological models on hydrologically unusual events
    • 10.1016/j.advwatres.2011.12.006
    • Singh S K, Bardossy A. Calibration of hydrological models on hydrologically unusual events. Adv Water Resour, 2012, 38: 81-91
    • (2012) Adv Water Resour , vol.38 , pp. 81-91
    • Singh, S.K.1    Bardossy, A.2
  • 8
    • 33646392214 scopus 로고    scopus 로고
    • The temporal transferability of calibrated parameters of a hydrological model
    • 10.1016/j.ecolmodel.2005.11.032
    • Apaydin H, Anli A S, Ozturk A. The temporal transferability of calibrated parameters of a hydrological model. Ecol Model, 2006, 195: 307-317
    • (2006) Ecol Model , vol.195 , pp. 307-317
    • Apaydin, H.1    Anli, A.S.2    Ozturk, A.3
  • 9
    • 0037083456 scopus 로고    scopus 로고
    • Constraining soil hydraulic parameter and output uncertainty of the distributed hydrological MIKE SHE model using the GLUE framework
    • 10.1002/hyp.335
    • Christiaens K, Feven J. Constraining soil hydraulic parameter and output uncertainty of the distributed hydrological MIKE SHE model using the GLUE framework. Hydrol Process, 2002, 16: 373-91
    • (2002) Hydrol Process , vol.16 , pp. 373-391
    • Christiaens, K.1    Feven, J.2
  • 10
    • 42949123162 scopus 로고    scopus 로고
    • Parameter uncertainty, sensitivity analysis and prediction error in a water-blance hydrological model
    • 10.1016/j.mcm.2007.05.017 1145.76416
    • Benke K K, Lowell K E, Hamilton A J. Parameter uncertainty, sensitivity analysis and prediction error in a water-blance hydrological model. Math Comput Model, 2008, 47: 1134-1149
    • (2008) Math Comput Model , vol.47 , pp. 1134-1149
    • Benke, K.K.1    Lowell, K.E.2    Hamilton, A.J.3
  • 11
    • 78049281362 scopus 로고    scopus 로고
    • Hydrological model uncertainty assessment in southern Africa
    • 10.1016/j.jhydrol.2010.04.010
    • Hughes D A, Kapangaziwiri E, Sawunyama T. Hydrological model uncertainty assessment in southern Africa. J Hydrol, 2010, 378: 221-232
    • (2010) J Hydrol , vol.378 , pp. 221-232
    • Hughes, D.A.1    Kapangaziwiri, E.2    Sawunyama, T.3
  • 12
    • 47049086970 scopus 로고    scopus 로고
    • Regionalisation of hydrological model parameters under parameter uncertainty: A case study involving TOPMODEL and basins across the globe
    • 10.1016/j.jhydrol.2008.05.007
    • Bastola S, Ishidaira H, Takeuchi K. Regionalisation of hydrological model parameters under parameter uncertainty: A case study involving TOPMODEL and basins across the globe. J Hydrol, 2008, 357: 188-206
    • (2008) J Hydrol , vol.357 , pp. 188-206
    • Bastola, S.1    Ishidaira, H.2    Takeuchi, K.3
  • 13
    • 0033849184 scopus 로고    scopus 로고
    • The influence of different methods to derive soil hydraulic properties on the uncertainty of various model outputs of a distributed hydrological model
    • 10.1016/S1464-1909(00)00084-8
    • Christiaens K, Feyen J. The influence of different methods to derive soil hydraulic properties on the uncertainty of various model outputs of a distributed hydrological model. Phys Chem Earth Pt B, 2000, 25: 679-683
    • (2000) Phys Chem Earth Pt B , vol.25 , pp. 679-683
    • Christiaens, K.1    Feyen, J.2
  • 14
    • 77649184126 scopus 로고    scopus 로고
    • Parameter and modeling uncertainty simulated by GLUE and a formal Bayesian method for a conceptual hydrological model
    • 10.1016/j.jhydrol.2009.12.028
    • Jin X L, Xu C Y, Zhang Q, et al. Parameter and modeling uncertainty simulated by GLUE and a formal Bayesian method for a conceptual hydrological model. J Hydrol, 2010, 383: 147-155
    • (2010) J Hydrol , vol.383 , pp. 147-155
    • Jin, X.L.1    Xu, C.Y.2    Zhang, Q.3
  • 15
    • 84866125741 scopus 로고    scopus 로고
    • Uncertainty analysis of hydrological processes based on ARMA-GARCH model
    • 10.1007/s11431-012-4909-3
    • Wang H R, Gao X, Qian L X, et al. Uncertainty analysis of hydrological processes based on ARMA-GARCH model. Sci China Tech Sci, 2012, 55: 2321-2331
    • (2012) Sci China Tech Sci , vol.55 , pp. 2321-2331
    • Wang, H.R.1    Gao, X.2    Qian, L.X.3
  • 16
    • 33748808177 scopus 로고    scopus 로고
    • Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology
    • 10.1016/j.jhydrol.2006.04.046
    • Mantovan P, Todini E. Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology. J Hydrol, 2006, 330: 368-381
    • (2006) J Hydrol , vol.330 , pp. 368-381
    • Mantovan, P.1    Todini, E.2
  • 17
    • 84872202584 scopus 로고    scopus 로고
    • Uncertainty issues of a conceptual water balance model for a semi-arid watershed in north-west of China
    • 10.1002/hyp.9258
    • Li Z L, Shao Q X, Xu Z X, et al. Uncertainty issues of a conceptual water balance model for a semi-arid watershed in north-west of China. Hydrol Process, 2013, 27: 304-312
    • (2013) Hydrol Process , vol.27 , pp. 304-312
    • Li, Z.L.1    Shao, Q.X.2    Xu, Z.X.3
  • 18
    • 84876159754 scopus 로고    scopus 로고
    • An educational model for ensemble streamflow simulation and uncertainty analysis
    • 10.5194/hess-17-445-2013
    • Kouchak A A, Nakhjiri N, Habib E. An educational model for ensemble streamflow simulation and uncertainty analysis. Hydrol Earth Syst Sc, 2013, 17: 445-452
    • (2013) Hydrol Earth Syst Sc , vol.17 , pp. 445-452
    • Kouchak, A.A.1    Nakhjiri, N.2    Habib, E.3
  • 19
    • 0027009437 scopus 로고
    • The future of distributed models-Model calibration and uncertainty prediction
    • 10.1002/hyp.3360060305
    • Beven K, Binley A. The future of distributed models-Model calibration and uncertainty prediction. Hydrol Process, 1992, 6: 279-298
    • (1992) Hydrol Process , vol.6 , pp. 279-298
    • Beven, K.1    Binley, A.2
  • 20
    • 77955581001 scopus 로고    scopus 로고
    • Evaluation of the subjective factors of the GLUE method and comparison with the formal Bayesian method in uncertainty assessment of hydrological models
    • 10.1016/j.jhydrol.2010.06.044
    • Li L, Xia J, Xu C Y, et al. Evaluation of the subjective factors of the GLUE method and comparison with the formal Bayesian method in uncertainty assessment of hydrological models. J Hydrol, 2010, 390: 210-221
    • (2010) J Hydrol , vol.390 , pp. 210-221
    • Li, L.1    Xia, J.2    Xu, C.Y.3
  • 21
    • 33745163514 scopus 로고    scopus 로고
    • An application of the GLUE methodology for estimating the parameters of the INCA-N model
    • 10.1016/j.scitotenv.2006.02.034
    • Rankinen K, Karvonen T, Butterfield D. An application of the GLUE methodology for estimating the parameters of the INCA-N model. Sci Total Environ, 2006, 365: 123-139
    • (2006) Sci Total Environ , vol.365 , pp. 123-139
    • Rankinen, K.1    Karvonen, T.2    Butterfield, D.3
  • 22
    • 80051587957 scopus 로고    scopus 로고
    • Parameter uncertainty analysis in watershed total phosphorus modeling using the GLUE methodology
    • 10.1016/j.agee.2011.05.015
    • Gong Y W, Shen Z Y, Hong Q, et al. Parameter uncertainty analysis in watershed total phosphorus modeling using the GLUE methodology. Agr Ecosyst Environ, 2011, 142: 246-255
    • (2011) Agr Ecosyst Environ , vol.142 , pp. 246-255
    • Gong, Y.W.1    Shen, Z.Y.2    Hong, Q.3
  • 23
    • 28844498074 scopus 로고    scopus 로고
    • Distributed hydrological modelling in California semi-arid shrublands: MIKE SHE model calibration and uncertainty estimation
    • 10.1016/j.jhydrol.2005.05.023
    • McMichael C E, Hope A S, Loaiciga H A. Distributed hydrological modelling in California semi-arid shrublands: MIKE SHE model calibration and uncertainty estimation. J Hydrol, 2006, 317: 307-324
    • (2006) J Hydrol , vol.317 , pp. 307-324
    • McMichael, C.E.1    Hope, A.S.2    Loaiciga, H.A.3
  • 24
    • 33745824270 scopus 로고    scopus 로고
    • Application of MCMC-GSA model calibration method to urban runoff quality modeling
    • 10.1016/j.ress.2005.11.051
    • Kanso A, Chebbo G, Tassin B. Application of MCMC-GSA model calibration method to urban runoff quality modeling. Reliab Eng Syst Safe, 2006, 91: 1398-1405
    • (2006) Reliab Eng Syst Safe , vol.91 , pp. 1398-1405
    • Kanso, A.1    Chebbo, G.2    Tassin, B.3
  • 25
    • 83555179213 scopus 로고    scopus 로고
    • A review of Markov Chain Monte Carlo and in formation theory tools for inverse problems in subsurface flow
    • 10.1007/s10596-011-9249-z 1254.49021
    • Yustres A, Asensio L, Alonso J, et al. A review of Markov Chain Monte Carlo and in formation theory tools for inverse problems in subsurface flow. Computat Geosci, 2012, 16: 1-20
    • (2012) Computat Geosci , vol.16 , pp. 1-20
    • Yustres, A.1    Asensio, L.2    Alonso, J.3
  • 26
    • 84858996519 scopus 로고    scopus 로고
    • Comparison of different uncertainty techniques in urban stormwater quantity and quality modelling
    • 10.1016/j.watres.2012.02.009
    • Dotto C B S, Mannina G, Kleidorfer M, et al. Comparison of different uncertainty techniques in urban stormwater quantity and quality modelling. Water Res, 2012, 46: 2545-2558
    • (2012) Water Res , vol.46 , pp. 2545-2558
    • Dotto, C.B.S.1    Mannina, G.2    Kleidorfer, M.3
  • 27
    • 0032928851 scopus 로고    scopus 로고
    • A Bayesian Approach to parameter estimation and polling in nonlinear flood event models
    • 10.1029/1998WR900043
    • Campbell E P, Fox D R, Bates B C. A Bayesian Approach to parameter estimation and polling in nonlinear flood event models. Water Resour Res, 1999, 35: 211-220
    • (1999) Water Resour Res , vol.35 , pp. 211-220
    • Campbell, E.P.1    Fox, D.R.2    Bates, B.C.3
  • 28
    • 33846829888 scopus 로고    scopus 로고
    • Parameter estimation and uncertainty analysis for a watershed model
    • 10.1016/j.envsoft.2006.06.007
    • Gallagher M, Doherty J. Parameter estimation and uncertainty analysis for a watershed model. Environ Modell Softw, 2007, 22: 1000-1020
    • (2007) Environ Modell Softw , vol.22 , pp. 1000-1020
    • Gallagher, M.1    Doherty, J.2
  • 29
    • 37549062601 scopus 로고    scopus 로고
    • An empirical method to improve the prediction limits of the GLUE methodology in rainfall-runoff modeling
    • 10.1016/j.jhydrol.2007.10.029
    • Xiong L H, O'Connor K M. An empirical method to improve the prediction limits of the GLUE methodology in rainfall-runoff modeling. J Hydrol, 2008, 349: 115-124
    • (2008) J Hydrol , vol.349 , pp. 115-124
    • Xiong, L.H.1    O'Connor, K.M.2
  • 30
    • 0032214428 scopus 로고    scopus 로고
    • Monte Carlo assessment of parameter uncer tainty in conceptual catchment models: The Metropolis algorithm
    • 10.1016/S0022-1694(98)00198-X
    • Kuczera G, Parent E. Monte Carlo assessment of parameter uncer tainty in conceptual catchment models: the Metropolis algorithm. J Hydrol, 1998, 211: 69-85
    • (1998) J Hydrol , vol.211 , pp. 69-85
    • Kuczera, G.1    Parent, E.2
  • 31
    • 36749086915 scopus 로고    scopus 로고
    • Bayesian uncertainty analysis in distributed hydrological modelling: A case study in the Thur River basin (Switzerland)
    • Yang J, Reichert P, Abbaspour K C. Bayesian uncertainty analysis in distributed hydrological modelling: A case study in the Thur River basin (Switzerland). Water Resour Res, 2007, 43: W10401
    • (2007) Water Resour Res , vol.43 , pp. 10401
    • Yang, J.1    Reichert, P.2    Abbaspour, K.C.3
  • 32
    • 1542757127 scopus 로고    scopus 로고
    • A shuffled complex evolution metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters
    • Vrugt J A, Gupta H V, Bouten W. A shuffled complex evolution metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters. Water Resour Res, 2003, 39: 1201-1216
    • (2003) Water Resour Res , vol.39 , pp. 1201-1216
    • Vrugt, J.A.1    Gupta, H.V.2    Bouten, W.3
  • 33
    • 40849146963 scopus 로고    scopus 로고
    • Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling
    • 10.1016/j.advwatres.2007.12.003
    • Blasone R S, Vrugt J A, Madsen H, et al. Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling. Adv Water Resour, 2008, 31: 630-648
    • (2008) Adv Water Resour , vol.31 , pp. 630-648
    • Blasone, R.S.1    Vrugt, J.A.2    Madsen, H.3
  • 34
    • 79956272206 scopus 로고    scopus 로고
    • Application of Bayesian approach to hydrological frequency analysis
    • 10.1007/s11431-010-4229-4 1237.76127
    • Liang Z M, Li B Q, Yu Z B, et al. Application of Bayesian approach to hydrological frequency analysis. Sci China Tech Sci, 2011, 54: 1183-1192
    • (2011) Sci China Tech Sci , vol.54 , pp. 1183-1192
    • Liang, Z.M.1    Li, B.Q.2    Yu, Z.B.3
  • 35
    • 13244265879 scopus 로고    scopus 로고
    • Assessing uncertainties in a conceptual water balance model using Bayesian methodology
    • 10.1623/hysj.50.1.45.56334
    • Engeland K, Xu C Y, Gottschalk L. Assessing uncertainties in a conceptual water balance model using Bayesian methodology. Hydrolog Sci J, 2005, 50: 45-63
    • (2005) Hydrolog Sci J , vol.50 , pp. 45-63
    • Engeland, K.1    Xu, C.Y.2    Gottschalk, L.3
  • 37
    • 0024607703 scopus 로고
    • Bootstrap confidence intervals for design storms from exceedance series
    • 10.1080/02626668909491307
    • Zucchini W, Adamson P T. Bootstrap confidence intervals for design storms from exceedance series. Hydrolog Sci J, 1989, 34: 41-48
    • (1989) Hydrolog Sci J , vol.34 , pp. 41-48
    • Zucchini, W.1    Adamson, P.T.2
  • 38
    • 0029663871 scopus 로고    scopus 로고
    • A nearest neighbor bootstrap for time series resampling
    • 10.1029/95WR02966
    • Lall U, Sharma A. A nearest neighbor bootstrap for time series resampling. Water Resour Res, 1996, 32: 679-693
    • (1996) Water Resour Res , vol.32 , pp. 679-693
    • Lall, U.1    Sharma, A.2
  • 39
    • 28844433295 scopus 로고    scopus 로고
    • Matched block bootstrap for resampling multi-season hydrologic time series
    • 10.1002/hyp.5849
    • Srinivas V V, Srinivasan K. Matched block bootstrap for resampling multi-season hydrologic time series. Hydrol Process, 2005, 19: 3659-3682
    • (2005) Hydrol Process , vol.19 , pp. 3659-3682
    • Srinivas, V.V.1    Srinivasan, K.2
  • 40
    • 0002344794 scopus 로고
    • Bootstrap methods: Another look at the jackknife
    • 10.1214/aos/1176344552 0406.62024 515681
    • Efron B. Bootstrap methods: another look at the jackknife. Ann Stat, 1979, 7: 1-26
    • (1979) Ann Stat , vol.7 , pp. 1-26
    • Efron, B.1
  • 41
    • 0022736689 scopus 로고
    • Application of computer intensive statistics of parameter uncertainty in streamflow synthesis
    • 10.1111/j.1752-1688.1986.tb01905.x
    • Cover K A, Unny T E. Application of computer intensive statistics of parameter uncertainty in streamflow synthesis. J Am Water Resour As, 1986, 22: 495-507
    • (1986) J Am Water Resour As , vol.22 , pp. 495-507
    • Cover, K.A.1    Unny, T.E.2
  • 42
    • 0031280538 scopus 로고    scopus 로고
    • Bootstrap position analysis for forecasting low flow frequency
    • 10.1061/(ASCE)0733-9496(1997)123:6(359)
    • Tasker G D, Dunne P. Bootstrap position analysis for forecasting low flow frequency. J Water Res Pl-ASCE, 1997, 123: 359-367
    • (1997) J Water Res Pl-ASCE , vol.123 , pp. 359-367
    • Tasker, G.D.1    Dunne, P.2
  • 43
    • 36448940908 scopus 로고    scopus 로고
    • Estimating saturated hydraulic conductivity using genetic programming
    • 10.2136/sssaj2006.0396
    • Parasuraman K, Elshorbagy A, Si B C. Estimating saturated hydraulic conductivity using genetic programming. Soil Sci Soc Am J, 2007, 71: 1676-1684
    • (2007) Soil Sci Soc Am J , vol.71 , pp. 1676-1684
    • Parasuraman, K.1    Elshorbagy, A.2    Si, B.C.3
  • 44
    • 77950927065 scopus 로고    scopus 로고
    • Analysis of parameter uncertainty in semi-distributed hydrological models using bootstrap method: A case study of SWAT model applied to Yingluoxia watershed in northwest China
    • 10.1016/j.jhydrol.2010.01.025
    • Li Z L, Shao Q X, Xu Z X, et al. Analysis of parameter uncertainty in semi-distributed hydrological models using bootstrap method: A case study of SWAT model applied to Yingluoxia watershed in northwest China. J Hydrol, 2010, 385: 76-83
    • (2010) J Hydrol , vol.385 , pp. 76-83
    • Li, Z.L.1    Shao, Q.X.2    Xu, Z.X.3
  • 45
    • 77956890307 scopus 로고
    • On blocking rules for the bootstrap with dependent data
    • 10.1093/biomet/82.3.561 0830.62082 1366282
    • Hall P, Horowitz J L, Jing B Y. On blocking rules for the bootstrap with dependent data. Biometrika, 1995, 82: 561-574
    • (1995) Biometrika , vol.82 , pp. 561-574
    • Hall, P.1    Horowitz, J.L.2    Jing, B.Y.3
  • 46
    • 84871488589 scopus 로고    scopus 로고
    • Hydrological impacts of climate change on streamflow of Dongliao River watershed in Jilin Province, China
    • 10.1007/s11769-012-0559-4
    • Zhang L, Lu W X, Yang Q C, et al. Hydrological impacts of climate change on streamflow of Dongliao River watershed in Jilin Province, China. Chinese Geogr Sci, 2012, 22: 522-530
    • (2012) Chinese Geogr Sci , vol.22 , pp. 522-530
    • Zhang, L.1    Lu, W.X.2    Yang, Q.C.3
  • 48
    • 34250670714 scopus 로고    scopus 로고
    • Hydrological modelling of the Chaohe basin in China: Statistical model formulation and Bayesian inference
    • 10.1016/j.jhydrol.2007.04.006
    • Yang J, Reichert P, Abbaspour K C, et al. Hydrological modelling of the Chaohe basin in China: Statistical model formulation and Bayesian inference. J Hydrol, 2007, 340: 167-182
    • (2007) J Hydrol , vol.340 , pp. 167-182
    • Yang, J.1    Reichert, P.2    Abbaspour, K.C.3
  • 49
    • 84871407515 scopus 로고    scopus 로고
    • The influence of parameter distribution uncertainty on hydrological and sediment modeling: A case study of SWAT model applied to the Daning watershed of the Three Gorges Reservoir Region, China
    • 10.1007/s00477-012-0579-8
    • Shen Z Y, Chen L, Chen T. The influence of parameter distribution uncertainty on hydrological and sediment modeling: a case study of SWAT model applied to the Daning watershed of the Three Gorges Reservoir Region, China. Stoch Env Res Risk A, 2013, 27: 235-251
    • (2013) Stoch Env Res Risk A , vol.27 , pp. 235-251
    • Shen, Z.Y.1    Chen, L.2    Chen, T.3
  • 50
    • 77349116594 scopus 로고    scopus 로고
    • Parameter uncertainty analysis of non-point source pollution from different land use types
    • 10.1016/j.scitotenv.2009.12.007
    • Shen Z Y, Hong Q, Yu H, et al. Parameter uncertainty analysis of non-point source pollution from different land use types. Sci Total Environ, 2010, 408: 1971-1978
    • (2010) Sci Total Environ , vol.408 , pp. 1971-1978
    • Shen, Z.Y.1    Hong, Q.2    Yu, H.3
  • 51
    • 84856366073 scopus 로고    scopus 로고
    • Automating calibration, sensitivity and uncertainty analysis of complex models using the R package Flexible Modeling Environment (FME): SWAT as an example
    • 10.1016/j.envsoft.2011.11.013
    • Wu Y P, Liu S G. Automating calibration, sensitivity and uncertainty analysis of complex models using the R package Flexible Modeling Environment (FME): SWAT as an example. Environ Modell Softw, 2012, 31: 99-109
    • (2012) Environ Modell Softw , vol.31 , pp. 99-109
    • Wu, Y.P.1    Liu, S.G.2
  • 52
    • 77951121542 scopus 로고    scopus 로고
    • A bootstrap approach to assess parameter uncertainty in simple catchment models
    • 10.1016/j.envsoft.2010.03.005
    • Benny S, Murray H. A bootstrap approach to assess parameter uncertainty in simple catchment models. Environ Modell Softw, 2010, 25: 919-926
    • (2010) Environ Modell Softw , vol.25 , pp. 919-926
    • Benny, S.1    Murray, H.2
  • 53
    • 84873087785 scopus 로고    scopus 로고
    • Uncertainty-based evaluation and comparison of SWAT and HSPF application to the IIIinois River Basin
    • 10.1016/j.jhydrol.2012.12.027
    • Xie H, Lian Y Q. Uncertainty-based evaluation and comparison of SWAT and HSPF application to the IIIinois River Basin. J Hydrol, 2013, 481: 119-131
    • (2013) J Hydrol , vol.481 , pp. 119-131
    • Xie, H.1    Lian, Y.Q.2
  • 54
    • 47949086314 scopus 로고    scopus 로고
    • Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China
    • 10.1016/j.jhydrol.2008.05.012
    • Yang J, Reichert P, Abbaspour K C, et al. Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China. J Hydrol, 2008, 358(1-2): 1-23
    • (2008) J Hydrol , vol.358 , Issue.1-2 , pp. 1-23
    • Yang, J.1    Reichert, P.2    Abbaspour, K.C.3
  • 55
    • 0034989285 scopus 로고    scopus 로고
    • A Markov chain Monte Carlo scheme for parameter estimation and inference in conceptual rainfall-runoff modeling
    • 10.1029/2000WR900363
    • Bates B C, Campbell E P. A Markov chain Monte Carlo scheme for parameter estimation and inference in conceptual rainfall-runoff modeling. Water Resour Res, 2011, 37: 937-947
    • (2011) Water Resour Res , vol.37 , pp. 937-947
    • Bates, B.C.1    Campbell, E.P.2
  • 56
    • 33646510313 scopus 로고    scopus 로고
    • Bayesian analysis of input uncertainty in hydrological modeling: 2. Application
    • Kavetski D, Kuczera G, Franks S. Bayesian analysis of input uncertainty in hydrological modeling: 2. Application. Water Resour Res, 2006, 42: W03408
    • (2006) Water Resour Res , vol.42 , pp. 03408
    • Kavetski, D.1    Kuczera, G.2    Franks, S.3
  • 57
    • 33847624519 scopus 로고    scopus 로고
    • An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction
    • 10.1029/2005WR004745
    • Ajami N K, Duan Q Y, Sorooshian S. An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction. Water Resour Res, 2007, 43: W01403
    • (2007) Water Resour Res , vol.43 , pp. 01403
    • Ajami, N.K.1    Duan, Q.Y.2    Sorooshian, S.3


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