메뉴 건너뛰기




Volumn 14, Issue 7, 2014, Pages 1641-1661

Streamflow simulation methods for ungauged and poorly gauged watersheds

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; FLOW MODELING; NUMERICAL MODEL; RAINFALL-RUNOFF MODELING; RIVER BASIN; RIVER FLOW; STREAMFLOW; WATERSHED;

EID: 84903974139     PISSN: 15618633     EISSN: 16849981     Source Type: Journal    
DOI: 10.5194/nhess-14-1641-2014     Document Type: Article
Times cited : (57)

References (91)
  • 4
    • 84865322957 scopus 로고    scopus 로고
    • Hydrology of mountainous areas in the upper Indus Basin Northern Pakistan with the perspective of climate change
    • Ahmad, Z., Hafeez, M., and Ahmad, I.: Hydrology of mountainous areas in the upper Indus Basin, Northern Pakistan with the perspective of climate change, Environ. Monit. Assess., 184, 5255-5274, 2012.
    • (2012) Environ. Monit. Assess. , vol.184 , pp. 5255-5274
    • Ahmad, Z.1    Hafeez, M.2    Ahmad, I.3
  • 5
    • 1142294041 scopus 로고    scopus 로고
    • A soil moisture index as an auxiliary ANN input for stream flow forecasting
    • DOI 10.1016/j.jhydrol.2003.09.006
    • Anctil, F., Michel, C., Perrin, C., and Adreassian, V.: A soil moisture index as an auxiliary ANN input for stream flow forecasting, J. Hydrol., 286, 155-167, 2004a. (Pubitemid 38203954)
    • (2004) Journal of Hydrology , vol.286 , Issue.1-4 , pp. 155-167
    • Anctil, F.1    Michel, C.2    Perrin, C.3    Andreassian, V.4
  • 6
    • 1442291113 scopus 로고    scopus 로고
    • Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models
    • DOI 10.1016/S1364-8152(03)00135-X, PII S136481520300135X
    • Anctil, F., Perrin, C., and Andréassian, V.: Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models, Environ. Modell. Softw., 19, 357-368, 2004b. (Pubitemid 38285665)
    • (2004) Environmental Modelling and Software , vol.19 , Issue.4 , pp. 357-368
    • Anctil, F.1    Perrin, C.2    Andreassian, V.3
  • 7
    • 0037377076 scopus 로고    scopus 로고
    • Contrasting hydrological regimes in the upper Indus Basin
    • DOI 10.1016/S0022-1694(02)00414-6
    • Archer, D.: Contrasting hydrological regimes in the upper Indus Basin, J.Hydrol., 274, 198-210, 2003. (Pubitemid 36325946)
    • (2003) Journal of Hydrology , vol.274 , Issue.1-4 , pp. 198-210
    • Archer, D.1
  • 8
    • 0034174396 scopus 로고    scopus 로고
    • ASCE Task Committee on Application of Artificial Neural Networks in Hydrology Artificial neural networks in hydrology. II: Hydrologic applications
    • ASCE Task Committee on Application of Artificial Neural Networks in Hydrology: Artificial neural networks in hydrology. II: Hydrologic applications, J. Hydrol. Eng., 5, 124-137, 2000.
    • (2000) J. Hydrol. Eng. , vol.5 , pp. 124-137
  • 9
    • 70350484187 scopus 로고    scopus 로고
    • Development of an energy-budget snowmelt updating model for incorporating feedback from snow course survey measurements
    • Assaf, H.: Development of an energy-budget snowmelt updating model for incorporating feedback from snow course survey measurements, J. Eng. Comput. Architect., 1, 1-25, 2007.
    • (2007) J. Eng. Comput. Architect. , vol.1 , pp. 1-25
    • Assaf, H.1
  • 10
    • 84866550036 scopus 로고    scopus 로고
    • Comparison of regionalization approaches based on regression and similarity for predictions in ungauged catchments under multiple hydro-climatic conditions
    • 466-467
    • Bao, Z., Zhang, J., Liu, J., Fu, G., Wang, G., He, R., Yan, X., Jin, J., and Liu, H.: Comparison of regionalization approaches based on regression and similarity for predictions in ungauged catchments under multiple hydro-climatic conditions, J. Hydrol., 466-467, 37-46, 2012.
    • (2012) J. Hydrol. , pp. 37-46
    • Bao, Z.1    Zhang, J.2    Liu, J.3    Fu, G.4    Wang, G.5    He, R.6    Yan, X.7    Jin, J.8    Liu, H.9
  • 13
    • 0036697650 scopus 로고    scopus 로고
    • Neural networks and nonparametric methods for improving real-time flood forecasting through conceptual hydrological models
    • doi:10.5194/hess-6-627-2002
    • Brath, A., Montanari, A., and Toth, E.: Neural networks and nonparametric methods for improving real-time flood forecasting through conceptual hydrological models, Hydrol. Earth Syst. Sci., 6, 627-639, doi:10.5194/hess-6- 627-2002, 2002.
    • (2002) Hydrol. Earth Syst. Sci. , vol.6 , pp. 627-639
    • Brath, A.1    Montanari, A.2    Toth, E.3
  • 14
    • 1942502700 scopus 로고    scopus 로고
    • Analysis of the effects of different scenarios of historical data availability on the calibration of a spatially-distributed hydrological model
    • DOI 10.1016/j.jhydrol.2003.12.044, PII S0022169404000344
    • Brath, A., Montanari, A., and Toth, E.: Analysis of the effects of different scenarios of historical data availability on the calibration of a spatially-distributed hydrological model, J. Hydrol., 291, 232-253, 2004. (Pubitemid 38527207)
    • (2004) Journal of Hydrology , vol.291 , Issue.3-4 , pp. 232-253
    • Brath, A.1    Montanari, A.2    Toth, E.3
  • 15
    • 0025572097 scopus 로고
    • Evaluation of regional flood frequency analysis with a region of influence approach
    • DOI 10.1029/90WR01192
    • Burn, D. H.: Evaluation of regional flood frequency analysis with a region of influence approach, Water Resour. Res., 26, 2257-2265, 1990. (Pubitemid 248509)
    • (1990) Water resources research , vol.26 , Issue.10 OCT. , pp. 2257-2265
    • Burn, D.H.1
  • 16
    • 0033943215 scopus 로고    scopus 로고
    • Flood frequency estimation by continuous simulation (with likelihood based uncertainty estimation)
    • Cameron, D., Beven, K., Tawn, J., and Naden, P.: Flood frequency estimation by continuous simulation (with likelihood based uncertainty estimation), Hydrol. Earth Syst. Sci., 4, 23-34, doi:10.5194/hess-4-23-2000, 2000. (Pubitemid 30480601)
    • (2000) Hydrology and Earth System Sciences , vol.4 , Issue.1 , pp. 23-34
    • Cameron, D.1    Beven, K.2    Tawn, J.3    Naden, P.4
  • 18
    • 31044455061 scopus 로고    scopus 로고
    • Integration of artificial neural networks with conceptual models in rainfall-runoff modeling
    • DOI 10.1016/j.jhydrol.2005.06.017, PII S0022169405003069
    • Chen, J. and Adams, B. J.: Integration of artificial neural networks with conceptual models in rainfall-runoff modelling, J. Hydrol., 318, 232-249, 2006. (Pubitemid 43120797)
    • (2006) Journal of Hydrology , vol.318 , Issue.1-4 , pp. 232-249
    • Chen, J.1    Adams, B.J.2
  • 19
    • 0032829433 scopus 로고    scopus 로고
    • Prevision hydrologique par reseaux de neurones artificiels : Etat de l'art
    • Coulibaly, P., Anctil, F., and Bobee, B.: Hydrological forecasting using artificial neural networks: The state of the art, Can. J. Civ. Eng., 26, 293-304, 1999. (Pubitemid 29475232)
    • (1999) Canadian Journal of Civil Engineering , vol.26 , Issue.3 , pp. 293-304
    • Coulibaly, P.1    Anctil, F.2    Bobee, B.3
  • 20
    • 0031277503 scopus 로고    scopus 로고
    • Effects of learning parameters on learning procedure and performance of a BPNN
    • DOI 10.1016/S0893-6080(97)00014-2, PII S0893608097000142
    • Dai, H. C. and Macbeth, C.: Effects of learning parameters on learning procedure and performance of a BPNN, Neural Netw., 10, 1505-1521, 1997. (Pubitemid 28260900)
    • (1997) Neural Networks , vol.10 , Issue.8 , pp. 1505-1521
    • Dai, H.1    MacBeth, C.2
  • 21
    • 0034749335 scopus 로고    scopus 로고
    • Hydrological modelling using artificial neural networks
    • DOI 10.1191/030913301674775671
    • Dawson, C. W. and Wilby, R. L.: Hydrological modeling using artificial neural networks, Prog. Phys. Geog., 25, 80-108, 2001. (Pubitemid 33028258)
    • (2001) Progress in Physical Geography , vol.25 , Issue.1 , pp. 80-108
    • Dawson, C.W.1    Wilby, R.L.2
  • 22
    • 0037052847 scopus 로고    scopus 로고
    • On the derived flood frequency distribution: Analytical formulatioon and the influence of antecedent soil moisture condition
    • DOI 10.1016/S0022-1694(02)00025-2, PII S0022169402000252
    • De Michele, C. and Salvadori, G.: On the derived flood frequency distribution: analytical formulation and the influence of antecedent soil moisture condition, J. Hydrol., 262, 245-258, 2002. (Pubitemid 34489895)
    • (2002) Journal of Hydrology , vol.262 , Issue.1-4 , pp. 245-258
    • Michele, C.D.1    Salvadori, G.2
  • 23
    • 0035426091 scopus 로고    scopus 로고
    • Insights from a history of seasonal inflow forecasting with a conceptual hydrologic model
    • DOI 10.1016/S0022-1694(01)00415-2, PII S0022169401004152
    • Druce, D. J.: Insights from a history of seasonal inflow forecasting with a conceptual hydrologic model, J. Hydrol., 249, 102-112, 2001. (Pubitemid 32664998)
    • (2001) Journal of Hydrology , vol.249 , Issue.1-4 , pp. 102-112
    • Druce, D.J.1
  • 25
    • 77958533797 scopus 로고    scopus 로고
    • One decade of multiobjective calibration approaches in hydrological modelling: A review
    • Efstratiadis, A. and Koutsoyiannis, D.: One decade of multiobjective calibration approaches in hydrological modelling: a review, Hydrolog. Sci. J., 55, 58-78, 2010.
    • (2010) Hydrolog. Sci. J. , vol.55 , pp. 58-78
    • Efstratiadis, A.1    Koutsoyiannis, D.2
  • 26
    • 77958199170 scopus 로고    scopus 로고
    • Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology-Part 2: Application
    • doi:10.5194/hess-14-1943-2010
    • Elshorbagy, A., Corzo, G., Srinivasulu, S., and Solomatine, D. P.: Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology-Part 2: Application, Hydrol. Earth Syst. Sci., 14, 1943-1961, doi:10.5194/hess-14-1943-2010, 2010.
    • (2010) Hydrol. Earth Syst. Sci. , vol.14 , pp. 1943-1961
    • Elshorbagy, A.1    Corzo, G.2    Srinivasulu, S.3    Solomatine, D.P.4
  • 27
    • 0036821589 scopus 로고    scopus 로고
    • Bayesian estimation of parameters in a regional hydrological model
    • Engeland, K. and Gottschalk, L.: Bayesian estimation of parameters in a regional hydrological model, Hydrol. Earth Syst. Sci., 6, 883-898, doi:10.5194/hess-6-883-2002, 2002. (Pubitemid 36080699)
    • (2002) Hydrology and Earth System Sciences , vol.6 , Issue.5 , pp. 883-898
    • Engeland, K.1    Gottschalk, L.2
  • 28
    • 84899877053 scopus 로고    scopus 로고
    • Integration of a hydrological model within a geographical information system: Application to a forest watershed
    • Fotakis, D., Sidiropoulos, E., and Loukas, A.: Integration of a hydrological model within a geographical information system: application to a forest watershed, Water, 6, 500-516, 2014.
    • (2014) Water , vol.6 , pp. 500-516
    • Fotakis, D.1    Sidiropoulos, E.2    Loukas, A.3
  • 30
    • 0026312861 scopus 로고
    • Development of a process oriented calibration scheme for the HBV hydrological model
    • Harlin, J.: Development of a process oriented calibration scheme for the HBV hydrological model, Nordic Hydrol., 22, 15-36, 1991.
    • (1991) Nordic Hydrol. , vol.22 , pp. 15-36
    • Harlin, J.1
  • 31
    • 82055176067 scopus 로고    scopus 로고
    • A review of regionalisation for continuous streamflow simulation
    • doi:10.5194/hess-15-3539-2011
    • He, Y., Bárdossy, A., and Zehe, E.: A review of regionalisation for continuous streamflow simulation, Hydrol. Earth Syst. Sci., 15, 3539-3553, doi:10.5194/hess-15-3539-2011, 2011.
    • (2011) Hydrol. Earth Syst. Sci. , vol.15 , pp. 3539-3553
    • He, Y.1    Bárdossy, A.2    Zehe, E.3
  • 33
    • 33845371340 scopus 로고    scopus 로고
    • Comparative application of two mathematical models to predict sedimentation in Yermasoyia Reservoir, Cyprus
    • DOI 10.1002/hyp.6167
    • Hrissanthou, V.: Comparative application of two mathematical models to predict sedimentation in Yermasoyia reservoir, Cyprus, Hydrol. Process., 20, 3939-3952, 2006. (Pubitemid 44883737)
    • (2006) Hydrological Processes , vol.20 , Issue.18 , pp. 3939-3952
    • Hrissanthou, V.1
  • 34
    • 0031220215 scopus 로고    scopus 로고
    • A component based water chemistry simulator for small subalpine watersheds
    • Hudson, R. O. and Quick, M. C.: Component based water chemistry simulator for small subalpine watersheds, Can. Water Resour. J., 22, 299-325, 1997. (Pubitemid 127667651)
    • (1997) Canadian Water Resources Journal , vol.22 , Issue.3 , pp. 299-325
    • Hudson, R.O.1    Quick, M.C.2
  • 35
    • 0033958035 scopus 로고    scopus 로고
    • Derived distribution of floods based on the concept of partial area coverage with a climatic appeal
    • DOI 10.1029/1999WR900287
    • Iacobellis, V. and Fiorentino, M.: Derived distribution of floods based on the concept of partial area coverage with a climatic appeal, Water Resour. Res., 36, 469-482, 2000. (Pubitemid 30065543)
    • (2000) Water Resources Research , vol.36 , Issue.2 , pp. 469-482
    • Iacobellis, V.1    Fiorentino, M.2
  • 36
    • 80051804722 scopus 로고    scopus 로고
    • Rainfall runoff modelling using neural networks: State of-the-art and future research needs
    • Jain, A., Maier, H. R., Dandy, G. C., and Sudheer, K. P.: Rainfall runoff modelling using neural networks: State of-the-art and future research needs, Indian Soc. Hydraul. J. Hydraul. Eng., 15, 52-74, 2009.
    • (2009) Indian Soc. Hydraul. J. Hydraul. Eng. , vol.15 , pp. 52-74
    • Jain, A.1    Maier, H.R.2    Dandy, G.C.3    Sudheer, K.P.4
  • 37
    • 70350128539 scopus 로고    scopus 로고
    • Temporal sampling strategies and uncertainty in calibrating a conceptual hydrological model for a small boreal catchment
    • Juston, J., Seibert, J., and Johansson, P.-O.: Temporal sampling strategies and uncertainty in calibrating a conceptual hydrological model for a small boreal catchment, Hydrol. Process., 23, 3093-3109, 2009.
    • (2009) Hydrol. Process. , vol.23 , pp. 3093-3109
    • Juston, J.1    Seibert, J.2    Johansson, P.-O.3
  • 38
    • 33750125872 scopus 로고    scopus 로고
    • Combining rainfall-runoff model outputs for improving ensemble streamflow prediction
    • DOI 10.1061/(ASCE)1084-0699(2006)11:6(578)
    • Kim, Y.-O., Jeong, D., and Ko, I. H.: Combining rainfall-runoff model outputs for improving ensemble streamflow prediction, J. Hydrol. Eng., 11, 578-588, 2006. (Pubitemid 44594110)
    • (2006) Journal of Hydrologic Engineering , vol.11 , Issue.6 , pp. 578-588
    • Kim, Y.-O.1    Jeong, D.2    Ko, I.H.3
  • 39
    • 23844521366 scopus 로고    scopus 로고
    • Comparison of regional index flood estimation procedures based on the extreme value type I distribution
    • DOI 10.1007/s00477-002-0104-6
    • Kjeldsen, T. R. and Rosbjerg, D.: Comparison of regional index flood estimation procedures based on the extreme value type I distribution, Stoch. Environ. Res. Risk Assess., 16, 358-373, 2002. (Pubitemid 35240161)
    • (2002) Stochastic environmental research and risk assessment , vol.16 , Issue.5 , pp. 358-373
    • Kjeldsen, T.R.1    Rosbjerg, D.2
  • 40
    • 77950954814 scopus 로고    scopus 로고
    • On the value of glacier mass balances for hydrological model calibration
    • Konz, M. and Seibert, J.: On the value of glacier mass balances for hydrological model calibration, J. Hydrol., 385, 238-246, 2010.
    • (2010) J. Hydrol. , vol.385 , pp. 238-246
    • Konz, M.1    Seibert, J.2
  • 41
    • 3342942693 scopus 로고    scopus 로고
    • Statistics of extremes and estimation of extreme rainfall: II. Empirical investigation of long rainfall records
    • DOI 10.1623/hysj.49.4.591.54424
    • Koutsoyiannis, D.: Statistics of extremes and estimation of extreme rainfall: 2. Empirical investigation of long rainfall records, Hydrolog. Sci. J., 49, 591-610, 2004. (Pubitemid 38991003)
    • (2004) Hydrological Sciences Journal , vol.49 , Issue.4 , pp. 591-610
    • Koutsoyiannis, D.1
  • 42
    • 84886234843 scopus 로고    scopus 로고
    • A novel integrated rainfallrunoff model based on TOPMODEL and artificial neural network
    • Liu, S., Xu, J.W., Zhao, J. F., and Li, Y.: A novel integrated rainfallrunoff model based on TOPMODEL and artificial neural network, Applied Mechanics and Materials, 423-426, 1405-1408, 2013.
    • (2013) Applied Mechanics and Materials , vol.423-426 , pp. 1405-1408
    • Liu, S.1    Xu, J.W.2    Zhao, J.F.3    Li, Y.4
  • 43
    • 0028474924 scopus 로고
    • Precipitation distribution in coastal British Columbia
    • Loukas, A. and Quick, M. C.: Precipitation distribution in coastal British Columbia. Water Resour. Bull., 30, 705-727, 1994.
    • (1994) Water Resour. Bull. , vol.30 , pp. 705-727
    • Loukas, A.1    Quick, M.C.2
  • 44
    • 0029753228 scopus 로고    scopus 로고
    • Spatial and temporal distribution of storm precipitation in southwestern British Columbia
    • Loukas, A. and Quick, M. C.: Spatial and temporal distribution of storm precipitation in southwestern British Columbia, J. Hydrol., 174, 37-56, 1995. (Pubitemid 26475072)
    • (1996) Journal of Hydrology , vol.174 , Issue.1-2 , pp. 37-56
    • Loukas, A.1    Quick, M.C.2
  • 45
    • 84903971676 scopus 로고    scopus 로고
    • Aspects of hydrological modelling in the Punjab Himalayan and Karakoram Ranges Pakistan
    • General Assembly of the European Geophysical Society Nice France
    • Loukas, A., Khan, M. I., and Quick, M. C.: Aspects of hydrological modelling in the Punjab Himalayan and Karakoram Ranges, Pakistan. Geophysical Research Abstracts 4, XXVII General Assembly of the European Geophysical Society, Nice, France, 2002.
    • (2002) Geophysical Research Abstracts , vol.4
    • Loukas, A.1    Khan, M.I.2    Quick, M.C.3
  • 46
    • 0034736988 scopus 로고    scopus 로고
    • Flood producing mechanisms identification in southern British Columbia, Canada
    • DOI 10.1016/S0022-1694(99)00182-1, PII S0022169499001821
    • Loukas, A., Vasiliades, L., and Dalezios, N. R.: Flood producing mechanisms identification in southern British Columbia, J. Hydrol., 227, 218-235, 2000. (Pubitemid 30104929)
    • (2000) Journal of Hydrology , vol.227 , Issue.1-4 , pp. 218-235
    • Loukas, A.1    Vasiliades, L.2    Dalezios, N.R.3
  • 47
    • 0037005724 scopus 로고    scopus 로고
    • Flood frequency estimation by a derived distribution procedure
    • DOI 10.1016/S0022-1694(01)00505-4, PII S0022169401005054
    • Loukas, A.: Flood frequency estimation by a derived distribution procedure, J. Hydrol., 255, 69-89, 2002. (Pubitemid 34009830)
    • (2002) Journal of Hydrology , vol.255 , Issue.1-4 , pp. 69-89
    • Loukas, A.1
  • 48
    • 0032051569 scopus 로고    scopus 로고
    • The effect of internal parameters and geometry on the performance of back-propagation neural networks: An empirical study
    • DOI 10.1016/S1364-8152(98)00020-6, PII S1364815298000206
    • Maier, H. R. and Dandy, G. C.: The effect of internal parameters and geometry on the performance of back-propagation neural networks: an empirical study, Environ. Modell. Softw., 13, 193-209, 1998. (Pubitemid 28514818)
    • (1998) Environmental Modelling and Software , vol.13 , Issue.2 , pp. 193-209
    • Maier, H.R.1    Dandy, G.C.2
  • 49
    • 0033957764 scopus 로고    scopus 로고
    • Neural networks for the prediction and forecasting of water resources variables: A review of modelling issues and applications
    • DOI 10.1016/S1364-8152(99)00007-9, PII S1364815299000079
    • Maier, H. R. and Dandy, G. C.: Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications, Environ. Modell. Softw., 15, 101-124, 2000. (Pubitemid 30018318)
    • (2000) Environmental Modelling and Software , vol.15 , Issue.1 , pp. 101-124
    • Maier, H.R.1    Dandy, G.C.2
  • 50
    • 77951175284 scopus 로고    scopus 로고
    • Methods used for the development of neural networks for the prediction of water resources variables: Current status and future directions
    • Maier, H. R., Jain, A., Dandy, G. C., and Sudheer, K. P.: Methods used for the development of neural networks for the prediction of water resources variables: Current status and future directions, Environ. Modell. Softw., 25, 891-909, 2010.
    • (2010) Environ. Modell. Softw. , vol.25 , pp. 891-909
    • Maier, H.R.1    Jain, A.2    Dandy, G.C.3    Sudheer, K.P.4
  • 51
    • 33746903114 scopus 로고    scopus 로고
    • Hydrologic response to scenarios of climate change in sub watersheds of the Okanagan basin, British Columbia
    • DOI 10.1016/j.jhydrol.2005.10.025, PII S0022169405005573
    • Merritt, W. S., Alila, Y., Barton, M., Taylor, B., Cohen, S., and Neilsen, D.: Hydrologic response to scenarios of climate change in sub watersheds of the Okanagan basin, British Columbia, J. Hydrol., 326, 79-108, 2006. (Pubitemid 44183736)
    • (2006) Journal of Hydrology , vol.326 , Issue.1-4 , pp. 79-108
    • Merritt, W.S.1    Alila, Y.2    Barton, M.3    Taylor, B.4    Cohen, S.5    Neilsen, D.6
  • 52
    • 1542320086 scopus 로고    scopus 로고
    • Regionalisation of catchment model parameters
    • DOI 10.1016/j.jhydrol.2003.09.028, PII S0022169403004013
    • Merz, R. and Blöschl, G.: Regionalisation of catchment model parameters, J. Hydrol., 287, 95-123, 2004. (Pubitemid 38300324)
    • (2004) Journal of Hydrology , vol.287 , Issue.1-4 , pp. 95-123
    • Merz, R.1    Bloschl, G.2
  • 53
    • 0033590201 scopus 로고    scopus 로고
    • A rainfall and snowmelt runoff modelling approach to flow estimation at ungauged sites in British Columbia
    • DOI 10.1016/S0022-1694(99)00172-9, PII S0022169499001729
    • Micovic, Z. and Quick, M. C.: A rainfall and snowmelt runoff modelling approach to flow estimation at ungauged sites in British Columbia, J. Hydrol., 226, 101-120, 1999. (Pubitemid 30028130)
    • (1999) Journal of Hydrology , vol.226 , Issue.1-2 , pp. 101-120
    • Micovic, Z.1    Quick, M.C.2
  • 54
    • 0037054653 scopus 로고    scopus 로고
    • Climate change in the Fraser River watershed: Flow and temperature projections
    • DOI 10.1016/S0022-1694(02)00065-3, PII S0022169402000653
    • Morrison, J., Quick, M. C., and Foreman, G. G.: Climate change in the Fraser River watershed: Flow and temperature projections, J. Hydrol., 263, 230-244, 2002. (Pubitemid 35211800)
    • (2002) Journal of Hydrology , vol.263 , Issue.1-4 , pp. 230-244
    • Morrison, J.1    Quick, M.C.2    Foreman, M.G.G.3
  • 55
    • 84880675185 scopus 로고    scopus 로고
    • Legitimising datadriven models: Exemplification of a new data-driven mechanistic modelling framework
    • doi:10.5194/hess-17-2827-2013
    • Mount, N. J., Dawson, C.W., and Abrahart, R. J.: Legitimising datadriven models: exemplification of a new data-driven mechanistic modelling framework, Hydrol. Earth Syst. Sci., 17, 2827-2843, doi:10.5194/hess-17-2827-2013, 2013.
    • (2013) Hydrol. Earth Syst. Sci. , vol.17 , pp. 2827-2843
    • Mount, N.J.1    Dawson, C.W.2    Abrahart, R.J.3
  • 56
    • 84871952496 scopus 로고    scopus 로고
    • Flow trends in river Chitral due to different scenarios of glaciated extent
    • Naeem, U. A., Hashmi, H. N., Habib-ur-Rehman, and Shakir, A. S.: Flow trends in river Chitral due to different scenarios of glaciated extent, KSCE J. Civ. Eng., 17, 244-251, 2013.
    • (2013) KSCE J. Civ. Eng. , vol.17 , pp. 244-251
    • Naeem, U.A.1    Hashmi, H.N.2    Habib-Ur-Rehman3    Shakir, A.S.4
  • 57
    • 0014776873 scopus 로고
    • River flow forecasting through conceptual models. Part-1 A discussion of principles
    • Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual models. Part-1 A discussion of principles, J. Hydrol., 10, 282-290, 1970.
    • (1970) J. Hydrol. , vol.10 , pp. 282-290
    • Nash, J.E.1    Sutcliffe, J.V.2
  • 58
    • 33645973241 scopus 로고    scopus 로고
    • Monthly runoff simulation: Comparing and combining conceptual and neural network models
    • Nilsson, P., Uvo, C. B., and Berndtsson, R.: Monthly runoff simulation: Comparing and combining conceptual and neural network models, J. Hydrol., 321, 344-363, 2006.
    • (2006) J. Hydrol. , vol.321 , pp. 344-363
    • Nilsson, P.1    Uvo, C.B.2    Berndtsson, R.3
  • 59
    • 84879090907 scopus 로고    scopus 로고
    • Comparative assessment of predictions in ungauged basins-Part 1: Runoff-hydrograph studies
    • doi:10.5194/hess-17-1783-2013
    • Parajka, J., Viglione, A., Rogger, M., Salinas, J. L., Sivapalan, M., and Blöschl, G.: Comparative assessment of predictions in ungauged basins-Part 1: Runoff-hydrograph studies, Hydrol. Earth Syst. Sci., 17, 1783-1795, doi:10.5194/hess-17-1783-2013, 2013.
    • (2013) Hydrol. Earth Syst. Sci. , vol.17 , pp. 1783-1795
    • Parajka, J.1    Viglione, A.2    Rogger, M.3    Salinas, J.L.4    Sivapalan, M.5    Blöschl, G.6
  • 60
    • 33846846431 scopus 로고    scopus 로고
    • Impact of limited streamflow data on the efficiency and the parameters of rainfall-runoff models
    • DOI 10.1623/hysj.52.1.131
    • Perrin, C., Oudin, L., Andreassian, V., Rojas-Serna, C., Michel, C., and Mathevet, T.: Impact of limited streamflow data on the efficiency and the parameters of rainfall-runoff models, Hydrolog. Sci. J., 52, 131-151, 2007. (Pubitemid 46210856)
    • (2007) Hydrological Sciences Journal , vol.52 , Issue.1 , pp. 131-151
    • Perrin, C.1    Oudin, L.2    Andreassian, V.3    Rojas-Serna, C.4    Michel, C.5    Mathevet, T.6
  • 61
    • 0033570929 scopus 로고    scopus 로고
    • Predicting the daily streamflow of ungauged catchments in S.E. Australia by regionalising the parameters of a lumped conceptual rainfall-runoff model
    • Post, D. A. and Jakeman, A. J.: Predicting the daily streamflow of ungauged catchments in S.E. Australia by regionalising the parameters of a lumped conceptual rainfall-runoff model, Ecol. Model., 123, 91-104, 1999.
    • (1999) Ecol. Model. , vol.123 , pp. 91-104
    • Post, D.A.1    Jakeman, A.J.2
  • 62
    • 0016993486 scopus 로고
    • A combined snowmelt and rainfallrunoff model
    • Quick, M. C. and Pipes, A.: A combined snowmelt and rainfallrunoff model, Can. J. Civil Eng. 3, 449-460, 1976.
    • (1976) Can. J. Civil Eng. , vol.3 , pp. 449-460
    • Quick, M.C.1    Pipes, A.2
  • 63
    • 84903980939 scopus 로고    scopus 로고
    • Calculating the runoff response of the Wolf Creek watershed Proceedings of the Workshop
    • Whitehorse, Yukon, Canada
    • Quick, M. C., Loukas, A., and Yu, E.: Calculating the runoff response of the Wolf Creek watershed, Proceedings of the Workshop "Wolf Creek Research Basin: Hydrology, Ecology, Environment", Whitehorse, Yukon, Canada, 91-92, 1998.
    • (1998) Wolf Creek Research Basin: Hydrology Ecology Environment , pp. 91-92
    • Quick, M.C.1    Loukas, A.2    Yu, E.3
  • 65
    • 0011102150 scopus 로고    scopus 로고
    • The UBC watershed model
    • edited by: Singh V. P., Water Resources Publications, Littleton, Colorado
    • Quick, M. C.: The UBCWatershed Model, in: Computer Models of Watershed Hydrology, edited by: Singh, V. P., Water Resources Publications, Littleton, Colorado, 2012.
    • (2012) Computer Models of Watershed Hydrology
    • Quick, M.C.1
  • 66
    • 84881365698 scopus 로고    scopus 로고
    • Streamflow prediction in ungauged basins: Review of regionalization methods
    • Razavi, T. and Coulibaly, P.: Streamflow prediction in ungauged basins: review of regionalization methods, J. Hydrol. Eng., 18, 958-975, 2013.
    • (2013) J. Hydrol. Eng. , vol.18 , pp. 958-975
    • Razavi, T.1    Coulibaly, P.2
  • 67
    • 84872667410 scopus 로고    scopus 로고
    • Performance evaluation of hydrological models: Statistical significance for reducing subjectivity in goodness-of-fit assessments
    • Ritter, A. and Muñoz-Carpena, R.: Performance evaluation of hydrological models: Statistical significance for reducing subjectivity in goodness-of-fit assessments, J. Hydrol., 480, 33-45, 2013.
    • (2013) J. Hydrol. , vol.480 , pp. 33-45
    • Ritter, A.1
  • 69
    • 84903971671 scopus 로고    scopus 로고
    • On the quest for a pan-European flood frequency distribution: Effect of scale and climate
    • doi:10.5194/hessd-10-6321-2013
    • Salinas, J. L., Castellarin, A., Kohnová, S., and Kjeldsen, T. R.: On the quest for a pan-European flood frequency distribution: effect of scale and climate, Hydrol. Earth Syst. Sci. Discuss., 10, 6321-6358, doi:10.5194/hessd-10-6321-2013, 2013a.
    • (2013) Hydrol. Earth Syst. Sci. Discuss. , vol.10 , pp. 6321-6358
    • Salinas, J.L.1    Castellarin, A.2    Kohnová, S.3    Kjeldsen, T.R.4
  • 70
    • 84880156005 scopus 로고    scopus 로고
    • Comparative assessment of predictions in ungauged basins-Part 2: Flood and low flow studies
    • doi:10.5194/hess-17-2637-2013
    • Salinas, J. L., Laaha, G., Rogger, M., Parajka, J., Viglione, A., Sivapalan, M., and Blöschl, G.: Comparative assessment of predictions in ungauged basins-Part 2: Flood and low flow studies, Hydrol. Earth Syst. Sci., 17, 2637-2652, doi:10.5194/hess-17-2637-2013, 2013b.
    • (2013) Hydrol. Earth Syst. Sci. , vol.17 , pp. 2637-2652
    • Salinas, J.L.1    Laaha, G.2    Rogger, M.3    Parajka, J.4    Viglione, A.5    Sivapalan, M.6    Blöschl, G.7
  • 71
    • 79954484113 scopus 로고    scopus 로고
    • Integrating point glacier mass balance observations into hydrologic model identification
    • doi:10.5194/hess-15-1227-2011
    • Schaefli, B. and Huss, M.: Integrating point glacier mass balance observations into hydrologic model identification, Hydrol. Earth Syst. Sci., 15, 1227-1241, doi:10.5194/hess-15-1227-2011, 2011.
    • (2011) Hydrol. Earth Syst. Sci. , vol.15 , pp. 1227-1241
    • Schaefli, B.1    Huss, M.2
  • 72
    • 70350099881 scopus 로고    scopus 로고
    • Gauging the ungauged basin: How many discharge measurements are needed?
    • doi:10.5194/hess-13-883-2009
    • Seibert, J. and Beven, K. J.: Gauging the ungauged basin: how many discharge measurements are needed?, Hydrol. Earth Syst. Sci., 13, 883-892, doi:10.5194/hess-13-883-2009, 2009.
    • (2009) Hydrol. Earth Syst. Sci. , vol.13 , pp. 883-892
    • Seibert, J.1    Beven, K.J.2
  • 73
    • 0036698155 scopus 로고    scopus 로고
    • Comparison of different forms of the Multi-layer Feed-Forward Neural Network method used for river flow forecasting
    • doi:10.5194/hess-6-671-2002
    • Shamseldin, A. Y., Nasr, A. E., and O'Connor, K. M.: Comparison of different forms of the Multi-layer Feed-Forward Neural Network method used for river flow forecasting, Hydrol. Earth Syst. Sci., 6, 671-684, doi:10.5194/hess-6-671-2002, 2002.
    • (2002) Hydrol. Earth Syst. Sci. , vol.6 , pp. 671-684
    • Shamseldin, A.Y.1    Nasr, A.E.2    O'Connor, K.M.3
  • 74
    • 0031259688 scopus 로고    scopus 로고
    • Methods for combining the outputs of different rainfall-runoff models
    • DOI 10.1016/S0022-1694(96)03259-3, PII S0022169496032593
    • Shamseldin, A. Y., O'Connor, K. M., and Liang, G. C.: Methods for combining the outputs of different rainfall-runoff models, J. Hydrol., 197, 203-229, 1997. (Pubitemid 27335611)
    • (1997) Journal of Hydrology , vol.197 , Issue.1-4 , pp. 203-229
    • Shamseldin, A.Y.1    O'Connor, K.M.2    Liang, G.C.3
  • 75
    • 0003985924 scopus 로고    scopus 로고
    • Kluwer Academics Publishers Dordrecht The Netherlands
    • Singh, P. and Singh, V. P.: Snow and Glacier Hydrology, Kluwer Academics Publishers, Dordrecht, The Netherlands, 2001.
    • (2001) Snow and Glacier Hydrology
    • Singh, P.1    Singh, P.V.2
  • 76
    • 0031172288 scopus 로고    scopus 로고
    • Impact assessment of climate change on the hydrological response of a snow and glacier melt runoff dominated Himalayan river
    • DOI 10.1016/S0022-1694(96)03142-3, PII S0022169496031423
    • Singh, P. and Kumar, N.: Impact assessment of climate change on the hydrological response of a snow and glacier melt runoff dominated Himalayan river, J. Hydrol., 193, 316-350, 1997. (Pubitemid 27275284)
    • (1997) Journal of Hydrology , vol.193 , Issue.1-4 , pp. 316-350
    • Singh, P.1    Kumar, N.2
  • 77
    • 0036641896 scopus 로고    scopus 로고
    • Mathematical modeling of watershed hydrology
    • DOI 10.1061/(ASCE)1084-0699(2002)7:4(270)
    • Singh, V. P. and Woolhiser, D.A.: Mathematical modeling of watershed hydrology, J. Hydrol. Eng., 7, 270-292, 2002. (Pubitemid 34793868)
    • (2002) Journal of Hydrologic Engineering , vol.7 , Issue.4 , pp. 270-292
    • Singh, V.P.1    Woolhiser, D.A.2
  • 81
    • 0021084897 scopus 로고
    • Evaluation of maximum likelihood parameter estimation techniques for conceptual rainfall-runoff models: Influence of calibration data variability and length on model credibility
    • Sorooshian, S., Gupta, V. K., and Fulton, J. L.: Evaluation of maximum likelihood parameter estimation techniques for conceptual rainfall-runoff models: Influence of calibration data variability and length on model credibility, Water Resour. Res., 19, 251-259, 1983. (Pubitemid 14256109)
    • (1983) Water Resources Research , vol.19 , Issue.1 , pp. 251-259
    • Sorooshian, S.1    Gupta, V.K.2    Fulton, J.L.3
  • 82
    • 57949116748 scopus 로고    scopus 로고
    • River flow prediction using an integrated approach
    • Srinivasulu, S. and Jain, A.: River flow prediction using an integrated approach, J. Hydrol. Eng., 14, 75-83, 2009.
    • (2009) J. Hydrol. Eng. , vol.14 , pp. 75-83
    • Srinivasulu, S.1    Jain, A.2
  • 83
    • 84873280285 scopus 로고    scopus 로고
    • Flood frequency estimation using a joint probability approach within a Monte Carlo framework
    • Svensson, C., Kjeldsen, T. R., and Jones, D. A.: Flood frequency estimation using a joint probability approach within a Monte Carlo framework, Hydrolog. Sci. J., 58, 1-20, 2013.
    • (2013) Hydrolog. Sci. J. , vol.58 , pp. 1-20
    • Svensson, C.1    Kjeldsen, T.R.2    Jones, D.A.3
  • 84
    • 84880167944 scopus 로고    scopus 로고
    • Comparative assessment of predictions in ungauged basins-Part 3: Runoff signatures in Austria
    • doi:10.5194/hess-17-2263-2013
    • Viglione, A., Parajka, J., Rogger, M., Salinas, J. L., Laaha, G., Sivapalan, M., and Blöschl, G.: Comparative assessment of predictions in ungauged basins-Part 3: Runoff signatures in Austria, Hydrol. Earth Syst. Sci., 17, 2263-2279, doi:10.5194/hess-17-2263-2013, 2013.
    • (2013) Hydrol. Earth Syst. Sci. , vol.17 , pp. 2263-2279
    • Viglione, A.1
  • 85
    • 79958786812 scopus 로고    scopus 로고
    • Convergence of approaches toward reducing uncertainty in predictions in ungauged basins
    • doi:10.1029/2010WR009469
    • Wagener, T. and Montanari, A.: Convergence of approaches toward reducing uncertainty in predictions in ungauged basins, Water Resour. Res., 47, W06301, doi:10.1029/2010WR009469, 2011.
    • (2011) Water Resour. Res. , vol.47
    • Wagener, T.1    Montanari, A.2
  • 86
    • 0037442971 scopus 로고    scopus 로고
    • Towards reduced uncertainty in conceptual rainfall-runoff modelling: Dynamic identifiability analysis
    • DOI 10.1002/hyp.1135
    • Wagener, T., McIntyre, N., Lees, M. J., Wheater, H. S., and Gupta, H. V.: Towards reduced uncertainty in conceptual rainfall-runoff modelling: dynamic identifiability analysis, Hydrol. Process., 17, 455-476, 2003. (Pubitemid 36234589)
    • (2003) Hydrological Processes , vol.17 , Issue.2 , pp. 455-476
    • Wagener, T.1    McIntyre, N.2    Lees, M.J.3    Wheater, H.S.4    Gupta, H.V.5
  • 88
    • 0036953314 scopus 로고    scopus 로고
    • Modelling streamflow in present and future climates: Example from the Georgia basin. British Columbia
    • Whitfield, P. H., Reynolds, C. J., and Cannon, A.: Modelling streamflow in present and future climates: example from the Georgia basin. British Columbia, Can.Water Resour. J., 27, 427-456, 2002.
    • (2002) Can.Water Resour. J. , vol.27 , pp. 427-456
    • Whitfield, P.H.1    Reynolds, C.J.2    Cannon, A.3
  • 89
    • 18544395373 scopus 로고    scopus 로고
    • Impacts of data length on optimal parameter and uncertainty estimation of a land surface model
    • doi:10.1029/2003JD004419
    • Xia, Y. L., Yang, Z. L., Jackson, C., Stoffa, P. L., and Sen, M. K.: Impacts of data length on optimal parameter and uncertainty estimation of a land surface model, J. Geophys. Res.-Atmos., 109, D07101, doi:10.1029/2003JD004419, 2004.
    • (2004) J. Geophys. Res.-Atmos. , vol.109
    • Xia, Y.L.1    Yang, Z.L.2    Jackson, C.3    Stoffa, P.L.4    Sen, M.K.5
  • 90
    • 0030162090 scopus 로고    scopus 로고
    • Automatic calibration of conceptual rainfall-runoff models: Sensitivity to calibration data
    • Yapo, P. O., Gupta, H. V., and Sorooshian, S.: Automatic calibration of conceptual rainfall-runoff models: sensitivity to calibration data, J. Hydrol., 181, 23-48, 1996.
    • (1996) J. Hydrol. , vol.181 , pp. 23-48
    • Yapo, P.O.1    Gupta, H.V.2    Sorooshian, S.3
  • 91
    • 69249151257 scopus 로고    scopus 로고
    • Relative merits of different methods for runoff predictions in ungauged catchments
    • doi:10.1029/2008WR007504
    • Zhang, Y. and Chiew, F. H. S.: Relative merits of different methods for runoff predictions in ungauged catchments, Water Resour. Res., 45, W07412, doi:10.1029/2008WR007504, 2009.
    • (2009) Water Resour. Res. , vol.45
    • Zhang, Y.1    Chiew, F.H.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.