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Volumn 17, Issue 1, 2011, Pages 191-200

Improving Model Performance Using Season-Based Evaluation

Author keywords

Automatic calibration; Global sensitivity analysis; Little River Watershed; Model evaluation; Season based model evaluation; Watershed model

Indexed keywords

AUTOMATIC CALIBRATION; GLOBAL SENSITIVITY ANALYSIS; LITTLE RIVER WATERSHED; MODEL EVALUATION; SEASON-BASED MODEL EVALUATION; WATERSHED MODEL;

EID: 84857212347     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)HE.1943-5584.0000421     Document Type: Article
Times cited : (41)

References (43)
  • 1
    • 77955056639 scopus 로고    scopus 로고
    • Sensitivity and uncertainty analysis of the conceptual HBV rainfall-runoff model: Implications for parameter estimation
    • JHYDA7, 0022-1694, 10.1016/j.jhydrol.2010.06.007
    • Abebe N.A. Ogden F.L. Pradhan N.R. Sensitivity and uncertainty analysis of the conceptual HBV rainfall-runoff model: Implications for parameter estimation. J. Hydrol. (Amsterdam) 2010, 389(3-4):301-310. JHYDA7, 0022-1694, 10.1016/j.jhydrol.2010.06.007
    • (2010) J. Hydrol. (Amsterdam) , vol.389 , Issue.3-4 , pp. 301-310
    • Abebe, N.A.1    Ogden, F.L.2    Pradhan, N.R.3
  • 2
    • 0004208203 scopus 로고    scopus 로고
    • SWAT: Soil and water assessment tool
    • U.S. Dept. of Agriculture, Agricultural Research Service, Temple, TX.
    • Arnold J.G. Williams J.R. Srinivasan R. King K.W. SWAT: Soil and water assessment tool. 1999, and U.S. Dept. of Agriculture, Agricultural Research Service, Temple, TX.
    • (1999)
    • Arnold, J.G.1    Williams, J.R.2    Srinivasan, R.3    King, K.W.4
  • 3
    • 0027594152 scopus 로고
    • Criteria for evaluation of watershed models
    • ASCE Task Committee on Definition of Criteria for Evaluation of Watershed Models of the Watershed Management, Irrigation, and Drainage Division, JIDEDH, 0733-9437, 10.1061/(ASCE)0733-9437(1993)119:3(429)
    • Criteria for evaluation of watershed models. J. Irrig. Drain. Eng. 1993, 119(3):429-442. ASCE Task Committee on Definition of Criteria for Evaluation of Watershed Models of the Watershed Management, Irrigation, and Drainage Division, JIDEDH, 0733-9437, 10.1061/(ASCE)0733-9437(1993)119:3(429)
    • (1993) J. Irrig. Drain. Eng. , vol.119 , Issue.3 , pp. 429-442
  • 4
    • 35848944114 scopus 로고    scopus 로고
    • Little river experimental watershed database
    • WRERAQ, 0043-1397, 10.1029/2006WR005844
    • Bosch D.D. Little river experimental watershed database. Water Resour. Res. 2007, 43:W09470. WRERAQ, 0043-1397, 10.1029/2006WR005844
    • (2007) Water Resour. Res. , vol.43
    • Bosch, D.D.1
  • 5
    • 33646838652 scopus 로고    scopus 로고
    • Hydrologic impacts of land-use changes in coastal plain watersheds
    • TARSBB, 2151-0032
    • Bosch D.D. Sullivan D.G. Sheridan J.M. Hydrologic impacts of land-use changes in coastal plain watersheds. Trans. ASABE 2006, 49(2):423-432. TARSBB, 2151-0032
    • (2006) Trans. ASABE , vol.49 , Issue.2 , pp. 423-432
    • Bosch, D.D.1    Sullivan, D.G.2    Sheridan, J.M.3
  • 6
    • 0031190519 scopus 로고    scopus 로고
    • Sensitivity analysis of an environmental model: An application of different analysis methods
    • RESSEP, 0951-8320, 10.1016/S0951-8320(97)00021-5
    • Campolongo F. Saltelli A. Sensitivity analysis of an environmental model: An application of different analysis methods. Reliab. Eng. Syst. Saf. 1997, 57(1):49-69. RESSEP, 0951-8320, 10.1016/S0951-8320(97)00021-5
    • (1997) Reliab. Eng. Syst. Saf. , vol.57 , Issue.1 , pp. 49-69
    • Campolongo, F.1    Saltelli, A.2
  • 7
    • 0034633230 scopus 로고    scopus 로고
    • Impacts of input parameter spatial aggregation an agricultural nonpoint source pollution model
    • JHYDA7, 0022-1694, 10.1016/S0022-1694(00)00276-6
    • FitzHugh T.W. Mackay D.S. Impacts of input parameter spatial aggregation an agricultural nonpoint source pollution model. J. Hydrol. (Amsterdam) 2000, 236(1-2):35-53. JHYDA7, 0022-1694, 10.1016/S0022-1694(00)00276-6
    • (2000) J. Hydrol. (Amsterdam) , vol.236 , Issue.1-2 , pp. 35-53
    • FitzHugh, T.W.1    Mackay, D.S.2
  • 8
    • 34347208316 scopus 로고    scopus 로고
    • The soil and water assessment tool: Historical development, applications, and future research directions
    • TARSBB, 0001-2351
    • Gassman P.W. Reyes M.R. Green C.H. Arnold J.G. The soil and water assessment tool: Historical development, applications, and future research directions. Trans. ASABE 2007, 50(4):1211-1250. TARSBB, 0001-2351
    • (2007) Trans. ASABE , vol.50 , Issue.4 , pp. 1211-1250
    • Gassman, P.W.1    Reyes, M.R.2    Green, C.H.3    Arnold, J.G.4
  • 9
    • 43849098420 scopus 로고    scopus 로고
    • Effects of soil data resolution on SWAT model stream flow and water quality predictions
    • JEVMAW, 0301-4797, 10.1016/j.jenvman.2007.03.016
    • Geza M. McCray J.E. Effects of soil data resolution on SWAT model stream flow and water quality predictions. Environ. Manage 2008, 88(3):393-406. JEVMAW, 0301-4797, 10.1016/j.jenvman.2007.03.016
    • (2008) J Environ. Manage , vol.88 , Issue.3 , pp. 393-406
    • Geza, M.1    McCray, J.E.2
  • 10
    • 70349272865 scopus 로고    scopus 로고
    • Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modeling
    • JHYDA7, 0022-1694, 10.1016/j.jhydrol.2009.08.003
    • Gupta H.V. Kling H. Yilmaz K.K. Martineza G.F. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modeling. J. Hydrol. (Amsterdam) 2009, 377(1-2):80-91. JHYDA7, 0022-1694, 10.1016/j.jhydrol.2009.08.003
    • (2009) J. Hydrol. (Amsterdam) , vol.377 , Issue.1-2 , pp. 80-91
    • Gupta, H.V.1    Kling, H.2    Yilmaz, K.K.3    Martineza, G.F.4
  • 11
    • 13244267147 scopus 로고    scopus 로고
    • Distributed sensitivity analysis of flood inundation model calibration
    • JHEND8, 0733-9429, 10.1061/(ASCE)0733-9429(2005)131:2(117)
    • Hall J. Tarantola S. Bates P.D. Horritt M.S. Distributed sensitivity analysis of flood inundation model calibration. J. Hydraul. Eng. 2005, 131(2):117-126. JHEND8, 0733-9429, 10.1061/(ASCE)0733-9429(2005)131:2(117)
    • (2005) J. Hydraul. Eng. , vol.131 , Issue.2 , pp. 117-126
    • Hall, J.1    Tarantola, S.2    Bates, P.D.3    Horritt, M.S.4
  • 12
    • 0027810117 scopus 로고
    • Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal
    • RESSEP, 0951-8320, 10.1016/0951-8320(93)90097-I
    • Helton J.C. Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal. Reliab. Eng. Syst. Saf. 1993, 42(2-3):327-367. RESSEP, 0951-8320, 10.1016/0951-8320(93)90097-I
    • (1993) Reliab. Eng. Syst. Saf. , vol.42 , Issue.2-3 , pp. 327-367
    • Helton, J.C.1
  • 13
    • 84856042598 scopus 로고    scopus 로고
    • Comparative diagnostic analysis of runoff generation processes in Oklahoma DMIP2 basins: The Blue River and the Illinois River
    • JHYDA7, 0022-1694, 10.1016/j.jhydrol.2010.08.005, , in press.
    • Li H. Sivapalan M. Tian F. Comparative diagnostic analysis of runoff generation processes in Oklahoma DMIP2 basins: The Blue River and the Illinois River. J. Hydrol. (Amsterdam) 2010, JHYDA7, 0022-1694, 10.1016/j.jhydrol.2010.08.005, and in press.
    • (2010) J. Hydrol. (Amsterdam)
    • Li, H.1    Sivapalan, M.2    Tian, F.3
  • 14
    • 72149083024 scopus 로고    scopus 로고
    • Evaluating uncertainty in integrated environmental models: A review of concepts and tools
    • WRERAQ, 0043-1397, 10.1029/2008WR007301
    • Matott L.S. Babendreier J.E. Purucker S.T. Evaluating uncertainty in integrated environmental models: review of concepts and tools. Water Resour. Res. 2009, 45(6):W06421. WRERAQ, 0043-1397, 10.1029/2008WR007301
    • (2009) Water Resour. Res. , vol.45 , Issue.6
    • Matott, L.S.1    Babendreier, J.E.2    Purucker, S.T.3
  • 15
    • 34447500396 scopus 로고    scopus 로고
    • Model evaluation guidelines for systematic quantification of accuracy in watershed simulations
    • TARSBB, 2151-0032
    • Moriasi D.N. Arnold J.G. Van Liew M.W. Bingner R.L. Harmel R.D. Veith T.L. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans. ASABE 2007, 50(3):885-900. TARSBB, 2151-0032
    • (2007) Trans. ASABE , vol.50 , Issue.3 , pp. 885-900
    • Moriasi, D.N.1    Arnold, J.G.2    Van Liew, M.W.3    Bingner, R.L.4    Harmel, R.D.5    Veith, T.L.6
  • 16
    • 84952096573 scopus 로고
    • Factorial sampling plans for preliminary computational experiments
    • TCMTA2, 0040-1706, 10.2307/1269043
    • Morris M.D. Factorial sampling plans for preliminary computational experiments. Technometrics 1991, 33(2):161-174. TCMTA2, 0040-1706, 10.2307/1269043
    • (1991) Technometrics , vol.33 , Issue.2 , pp. 161-174
    • Morris, M.D.1
  • 17
    • 77954983122 scopus 로고    scopus 로고
    • Comparison of model evaluation methods to develop a comprehensive watershed simulation model
    • ASCE, Reston, VA.
    • Muleta M.K. Comparison of model evaluation methods to develop comprehensive watershed simulation model. Proc., 2010 Conf, of the Environmental and Water Resources Institute 2010, ASCE, Reston, VA.
    • (2010) Proc., 2010 Conf, of the Environmental and Water Resources Institute
    • Muleta, M.K.1
  • 18
    • 18844381609 scopus 로고    scopus 로고
    • Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model
    • JHYDA7, 0022-1694, 10.1016/j.jhydrol.2004.09.005
    • Muleta M.K. Nicklow J.W. Sensitivity and uncertainty analysis coupled with automatic calibration for distributed watershed model. J. Hydrol. (Amsterdam) 2005, 306(1-4):127-145. JHYDA7, 0022-1694, 10.1016/j.jhydrol.2004.09.005
    • (2005) J. Hydrol. (Amsterdam) , vol.306 , Issue.1-4 , pp. 127-145
    • Muleta, M.K.1    Nicklow, J.W.2
  • 19
    • 33847208492 scopus 로고    scopus 로고
    • Sensitivity of a distributed watershed simulation model to spatial scale
    • JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2007)12:2(163)
    • Muleta M.K. Nicklow J.W. Bekele E.G. Sensitivity of distributed watershed simulation model to spatial scale. J. Hydrol. Eng. 2007, 12(2):163-172. JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2007)12:2(163)
    • (2007) J. Hydrol. Eng. , vol.12 , Issue.2 , pp. 163-172
    • Muleta, M.K.1    Nicklow, J.W.2    Bekele, E.G.3
  • 20
    • 0014776873 scopus 로고
    • River flow forecasting through conceptual models part I-A discussion of principles
    • JHYDA7, 0022-1694, 10.1016/0022-1694(70)90255-6
    • Nash J.E. Sutcliffe J.V. River flow forecasting through conceptual models part I-A discussion of principles. J. Hydrol. (Amsterdam) 1970, 10(3):282-290. JHYDA7, 0022-1694, 10.1016/0022-1694(70)90255-6
    • (1970) J. Hydrol. (Amsterdam) , vol.10 , Issue.3 , pp. 282-290
    • Nash, J.E.1    Sutcliffe, J.V.2
  • 22
    • 0033585967 scopus 로고    scopus 로고
    • Sensitivity analysis: Could better methods be used?
    • JGREA2, 0148-0227, 10.1029/1998JD100042
    • Saltelli A. Sensitivity analysis: Could better methods be used?. J. Geophys. Res. 1999, 104(D3):3789-3793. JGREA2, 0148-0227, 10.1029/1998JD100042.
    • (1999) J. Geophys. Res. , vol.104 , Issue.3 , pp. 3789-3793
    • Saltelli, A.1
  • 23
    • 0001785764 scopus 로고    scopus 로고
    • What is sensitivity analysis?
    • A. Saltelli, K. Chan, E. M. Scott eds., Wiley, New York.
    • Saltelli A. What is sensitivity analysis?. Sensitivity analysis 2000, A. Saltelli, K. Chan, E. M. Scott, "" and eds., Wiley, New York.
    • (2000) Sensitivity analysis
    • Saltelli, A.1
  • 24
    • 0037093163 scopus 로고    scopus 로고
    • Making best use of model evaluations to compute sensitivity indices
    • CPHCBZ, 0010-4655, 10.1016/S0010-4655(02)00280-1
    • Saltelli A. Making best use of model evaluations to compute sensitivity indices. Comput. Phys. Commun. 2002, 145(2):280-297. CPHCBZ, 0010-4655, 10.1016/S0010-4655(02)00280-1
    • (2002) Comput. Phys. Commun. , vol.145 , Issue.2 , pp. 280-297
    • Saltelli, A.1
  • 26
    • 0033079533 scopus 로고    scopus 로고
    • A quantitative model-independent method for global sensitivity analysis of model output
    • TCMTA2, 0040-1706, 10.2307/1270993
    • Saltelli A. Torantola S. Chan K.P. S. quantitative model-independent method for global sensitivity analysis of model output. Technometrics 1999, 41(1):39-56. TCMTA2, 0040-1706, 10.2307/1270993
    • (1999) Technometrics , vol.41 , Issue.1 , pp. 39-56
    • Saltelli, A.1    Torantola, S.2    Chan, K.P.S.3
  • 27
  • 28
    • 0000760143 scopus 로고
    • Sensitivity estimates for non-linear mathematical models
    • Sobol' I.M. Sensitivity estimates for non-linear mathematical models. Math. Modelling Comput. Experiment 1993, 1(4):407-414. .
    • (1993) Math. Modelling Comput. Experiment , vol.1 , Issue.4 , pp. 407-414
    • Sobol', I.M.1
  • 29
    • 70350066343 scopus 로고    scopus 로고
    • A global sensitivity analysis and Bayesian inference framework for improving the parameter estimation and prediction of a process-based terrestrial ecosystem model
    • JGREA2, 0148-0227, 10.1029/2009JD011724
    • Tang J. Zhuang Q. global sensitivity analysis and Bayesian inference framework for improving the parameter estimation and prediction of process-based terrestrial ecosystem model. J. Geophys. Res. 2009, 114:D15303. JGREA2, 0148-0227, 10.1029/2009JD011724
    • (2009) J. Geophys. Res. , vol.114
    • Tang, J.1    Zhuang, Q.2
  • 30
    • 34547212829 scopus 로고    scopus 로고
    • Advancing the identification and evaluation of distributed rainfall-runoff models using global sensitivity analysis
    • WRERAQ, 0043-1397, 10.1029/2006WR005813
    • Tang Y. Reed P. van Werkhoven K. Wagener T. Advancing the identification and evaluation of distributed rainfall-runoff models using global sensitivity analysis. Water Resour. Res. 2007, 43(6):W06415. WRERAQ, 0043-1397, 10.1029/2006WR005813
    • (2007) Water Resour. Res. , vol.43 , Issue.6
    • Tang, Y.1    Reed, P.2    van Werkhoven, K.3    Wagener, T.4
  • 31
    • 84856612638 scopus 로고    scopus 로고
    • Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation
    • 1812-2116, 10.5194/hessd-3-3333-2006
    • Tang Y. Reed P. Wagener T. van Werkhoven K. Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation. Hydrol. Earth Syst. Sci. Discuss. 2006, 3(6):3333-3395. 1812-2116, 10.5194/hessd-3-3333-2006
    • (2006) Hydrol. Earth Syst. Sci. Discuss. , vol.3 , Issue.6 , pp. 3333-3395
    • Tang, Y.1    Reed, P.2    Wagener, T.3    van Werkhoven, K.4
  • 32
    • 84856039290 scopus 로고    scopus 로고
    • Model diagnostic analysis of seasonal switching of runoff generation mechanisms in the Blue River basin, Oklahoma
    • JHYDA7, 0022-1694, 10.1016/j.jhydrol.2010.03.011, , in press.
    • Tian F. Li H. Sivapalan M. Model diagnostic analysis of seasonal switching of runoff generation mechanisms in the Blue River basin, Oklahoma. J. Hydrol. (Amsterdam) 2010, JHYDA7, 0022-1694, 10.1016/j.jhydrol.2010.03.011, and in press.
    • (2010) J. Hydrol. (Amsterdam)
    • Tian, F.1    Li, H.2    Sivapalan, M.3
  • 33
    • 33847618256 scopus 로고    scopus 로고
    • Dynamically dimensioned search algorithm for computationally efficient watershed model calibration
    • WRERAQ, 0043-1397, 10.1029/2005WR004723
    • Tolson B.A. Shoemaker C.A. Dynamically dimensioned search algorithm for computationally efficient watershed model calibration. Water Resour. Res. 2007, 43:W01413. WRERAQ, 0043-1397, 10.1029/2005WR004723
    • (2007) Water Resour. Res. , vol.43
    • Tolson, B.A.1    Shoemaker, C.A.2
  • 34
    • 34548677769 scopus 로고    scopus 로고
    • Guidance for quality assurance project plans for modeling
    • U.S. EPA, EPA QA/G-5M. Rep. EPA/240/R-02/007, Washington, DC.
    • Guidance for quality assurance project plans for modeling. 2002, U.S. EPA, EPA QA/G-5M. Rep. EPA/240/R-02/007, Washington, DC.
    • (2002)
  • 35
    • 33646725682 scopus 로고    scopus 로고
    • A global sensitivity analysis tool for the parameters of multi-variable catchment models
    • JHYDA7, 0022-1694, 10.1016/j.jhydrol.2005.09.008
    • van Griensven A. Meixner T. Grunwald S. Bishop T. Diluzio M. Srinivasan R. global sensitivity analysis tool for the parameters of multi-variable catchment models. J. Hydrol. (Amsterdam) 2006, 324(1-4):10-23. JHYDA7, 0022-1694, 10.1016/j.jhydrol.2005.09.008
    • (2006) J. Hydrol. (Amsterdam) , vol.324 , Issue.1-4 , pp. 10-23
    • van Griensven, A.1    Meixner, T.2    Grunwald, S.3    Bishop, T.4    Diluzio, M.5    Srinivasan, R.6
  • 36
    • 33847203986 scopus 로고    scopus 로고
    • Suitability of SWAT for the conservation effects assessment project: Comparison on USDA agricultural research service watersheds
    • JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2007)12:2(173)
    • Van Liew M.W. Veith T.L. Bosch D.D. Arnold J.G. Suitability of SWAT for the conservation effects assessment project: Comparison on USDA agricultural research service watersheds. J. Hydrologic Engrg. 2007, 12(2):173-189. JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2007)12:2(173)
    • (2007) J. Hydrologic Engrg. , vol.12 , Issue.2 , pp. 173-189
    • Van Liew, M.W.1    Veith, T.L.2    Bosch, D.D.3    Arnold, J.G.4
  • 37
    • 39749149573 scopus 로고    scopus 로고
    • Characterization of watershed model behavior across a hydroclimatic gradient
    • WRERAQ, 0043-1397, 10.1029/2007WR006271, and (a)
    • van Werkhoven K. Wagener T. Reed P. Tang Y. Characterization of watershed model behavior across a hydroclimatic gradient. Water Resour. Res. 2008, 44:W01429. WRERAQ, 0043-1397, 10.1029/2007WR006271, and (a). .
    • (2008) Water Resour. Res. , vol.44
    • van Werkhoven, K.1    Wagener, T.2    Reed, P.3    Tang, Y.4
  • 38
    • 49849093678 scopus 로고    scopus 로고
    • Rainfall characteristics define the value of streamflow observations for distributed watershed model identification
    • GPRLAJ, 0094-8276, 10.1029/2008GL034162, and (b)
    • van Werkhoven K. Wagener T. Reed P. Tang Y. Rainfall characteristics define the value of streamflow observations for distributed watershed model identification. Geophys. Res. Lett. 2008, 35:L11403. GPRLAJ, 0094-8276, 10.1029/2008GL034162, and (b). .
    • (2008) Geophys. Res. Lett. , vol.35
    • van Werkhoven, K.1    Wagener, T.2    Reed, P.3    Tang, Y.4
  • 39
    • 67650417863 scopus 로고    scopus 로고
    • Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models
    • AWREDI, 0309-1708, 10.1016/j.advwatres.2009.03.002
    • van Werkhoven K. Wagener T. Reed P. Tang Y. Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models. Adv. Water Resour. 2009, 32(8):1154-1169. AWREDI, 0309-1708, 10.1016/j.advwatres.2009.03.002
    • (2009) Adv. Water Resour. , vol.32 , Issue.8 , pp. 1154-1169
    • van Werkhoven, K.1    Wagener, T.2    Reed, P.3    Tang, Y.4
  • 40
    • 0037442971 scopus 로고    scopus 로고
    • Towards reduced uncertainty in conceptual rainfall-runoff modelling: Dynamic identifiability analysis
    • HYPRE3, 0885-6087, 10.1002/hyp.1135
    • Wagener T. McIntyre N. Lees M.J. Wheater H.S. Gupta H.V. Towards reduced uncertainty in conceptual rainfall-runoff modelling: Dynamic identifiability analysis. Hydrol. Processes 2003, 17(2):455-476. HYPRE3, 0885-6087, 10.1002/hyp.1135
    • (2003) Hydrol. 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
  • 41
    • 33845292579 scopus 로고    scopus 로고
    • Effects of STATSGO and SSURGO as inputs on SWAT model's snowmelt simulation
    • JWRAF5, 1093-474X, 10.1111/j.1752-1688.2006.tb05608.x
    • Wang X. Melesse A.M. Effects of STATSGO and SSURGO as inputs on SWAT model's snowmelt simulation. J. Am. Water Resour. Assoc. 2006, 42(5):1217-1236. JWRAF5, 1093-474X, 10.1111/j.1752-1688.2006.tb05608.x
    • (2006) J. Am. Water Resour. Assoc. , vol.42 , Issue.5 , pp. 1217-1236
    • Wang, X.1    Melesse, A.M.2
  • 43
    • 60749106671 scopus 로고    scopus 로고
    • Improving daily water yield estimates in the Little River Watershed: SWAT adjustments
    • TARSBB, 0001-2351
    • White E.D. Feyereisen G.W. Veith T.L. Bosch D.D. Improving daily water yield estimates in the Little River Watershed: SWAT adjustments. Trans. ASABE 2009, 52(1):69-79. TARSBB, 0001-2351
    • (2009) Trans. ASABE , vol.52 , Issue.1 , pp. 69-79
    • White, E.D.1    Feyereisen, G.W.2    Veith, T.L.3    Bosch, D.D.4


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