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Volumn 23, Issue 3-4, 2013, Pages 873-880

A practical approach to formulate stage-discharge relationship in natural rivers

Author keywords

Modeling; Neural networks; Rating curve; Stage discharge

Indexed keywords

DETERMINATION COEFFICIENTS; EFFICIENCY COEFFICIENT; RATING CURVE; REGRESSION TECHNIQUES; ROOT MEAN SQUARE ERRORS; STAGE-DISCHARGE; STATISTICAL PARAMETERS; UNITED STATES GEOLOGICAL SURVEYS;

EID: 84884590384     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-012-1011-5     Document Type: Article
Times cited : (9)

References (37)
  • 2
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control AC-19: 716-723.
    • (1974) IEEE Trans Autom Control , vol.AC-19 , pp. 716-723
    • Akaike, H.1
  • 3
    • 77953908575 scopus 로고    scopus 로고
    • Modeling of maximum dry density and optimum moisture content of stabilized soil using artificial neural networks
    • Alavi AH, Gandomi AH, Mollahasani A, Heshmati AAR, Rashed A (2010) Modeling of maximum dry density and optimum moisture content of stabilized soil using artificial neural networks. J Plant Nutr Soil Sci 173(3): 368-379.
    • (2010) J Plant Nutr Soil Sci , vol.173 , Issue.3 , pp. 368-379
    • Alavi, A.H.1    Gandomi, A.H.2    Mollahasani, A.3    Heshmati, A.A.R.4    Rashed, A.5
  • 4
    • 80055054635 scopus 로고    scopus 로고
    • Prediction of principal ground-motion parameters using a hybrid method coupling artificial neural networks and simulated annealing
    • Alavi AH, Gandomi AH (2011) Prediction of principal ground-motion parameters using a hybrid method coupling artificial neural networks and simulated annealing. Comput Struct 89(23-24): 2176-2194.
    • (2011) Comput Struct , vol.89 , Issue.23-24 , pp. 2176-2194
    • Alavi, A.H.1    Gandomi, A.H.2
  • 5
    • 0034174280 scopus 로고    scopus 로고
    • Artificial neural networks in hydrology. I: preliminary concepts
    • ASCE Task Committee
    • ASCE Task Committee (2000) Artificial neural networks in hydrology. I: preliminary concepts. J Hydrol Eng 5(2): 115-123.
    • (2000) J Hydrol Eng , vol.5 , Issue.2 , pp. 115-123
  • 6
    • 0034174396 scopus 로고    scopus 로고
    • Artificial neural networks in hydrology. II: hydrologic applications
    • ASCE Task Committee
    • ASCE Task Committee (2000) Artificial neural networks in hydrology. II: hydrologic applications. J Hydrol Eng 5(2): 124-137.
    • (2000) J Hydrol Eng , vol.5 , Issue.2 , pp. 124-137
  • 7
    • 80051665368 scopus 로고    scopus 로고
    • Gene-expression programming for the development of a stage-discharge curve of the Pahang River
    • Azamathulla HM, Ghani A, Leow CS, Chang CK, Zakaria NA (2011) Gene-expression programming for the development of a stage-discharge curve of the Pahang River. Water Resour Manag 25(11): 2901-2916.
    • (2011) Water Resour Manag , vol.25 , Issue.11 , pp. 2901-2916
    • Azamathulla, H.M.1    Ghani, A.2    Leow, C.S.3    Chang, C.K.4    Zakaria, N.A.5
  • 10
    • 0016494679 scopus 로고
    • Computation of stage-discharge relationships affected by unsteady flow
    • Fread DL (1975) Computation of stage-discharge relationships affected by unsteady flow. Water Resour Bull 11(2): 213-228.
    • (1975) Water Resour Bull , vol.11 , Issue.2 , pp. 213-228
    • Fread, D.L.1
  • 13
    • 84909991748 scopus 로고    scopus 로고
    • A novel approach to strength modeling of concrete under triaxial compression
    • (in press). doi: 10. 1061/(ASCE)MT. 1943-5533. 0000494
    • Gandomi AH, Babanajad SK, Alavi AH, Farnam Y (2012) A novel approach to strength modeling of concrete under triaxial compression. J Mater Civ Eng ASCE (in press). doi: 10. 1061/(ASCE)MT. 1943-5533. 0000494.
    • (2012) J Mater Civ Eng ASCE
    • Gandomi, A.H.1    Babanajad, S.K.2    Alavi, A.H.3    Farnam, Y.4
  • 14
    • 79961060591 scopus 로고    scopus 로고
    • Applications of computational i{dotless}ntelligence in behavior simulation of concrete materials
    • In: Yang XS, Koziel S, Springer SCI
    • Gandomi AH, Alavi AH (2011) Applications of computational i{dotless}ntelligence in behavior simulation of concrete materials. In: Yang XS, Koziel S (eds) Chapter 9 in computational optimization and applications in engineering and industry, vol 359. Springer SCI, pp 221-243.
    • (2011) Chapter 9 In Computational Optimization and Applications In Engineering and Industry , vol.359 , pp. 221-243
    • Gandomi, A.H.1    Alavi, A.H.2
  • 15
    • 80052923685 scopus 로고    scopus 로고
    • Multi-stage genetic programming: a new strategy to nonlinear system modeling
    • Gandomi AH, Alavi AH (2011) Multi-stage genetic programming: a new strategy to nonlinear system modeling. Inf Sci 181(23): 5227-5239.
    • (2011) Inf Sci , vol.181 , Issue.23 , pp. 5227-5239
    • Gandomi, A.H.1    Alavi, A.H.2
  • 16
    • 84856002704 scopus 로고    scopus 로고
    • A new multi-gene genetic programming approach to nonlinear system modeling. Part II: geotechnical and earthquake engineering problems
    • Gandomi AH, Alavi AH (2012) A new multi-gene genetic programming approach to nonlinear system modeling. Part II: geotechnical and earthquake engineering problems. Neural Comput Appl 21(1): 189-201.
    • (2012) Neural Comput Appl , vol.21 , Issue.1 , pp. 189-201
    • Gandomi, A.H.1    Alavi, A.H.2
  • 17
    • 11344291763 scopus 로고    scopus 로고
    • Bayesian neural network analysis of undrained side resistance of drilled shafts
    • Goh ATC, Kulhawy FH, Chua CG (2005) Bayesian neural network analysis of undrained side resistance of drilled shafts. J Geotech Geoenviron Eng 131(1): 84-93.
    • (2005) J Geotech Geoenviron Eng , vol.131 , Issue.1 , pp. 84-93
    • Goh, A.T.C.1    Kulhawy, F.H.2    Chua, C.G.3
  • 18
    • 34047131239 scopus 로고    scopus 로고
    • Prediction of pressure fluctuations on stilling basins
    • Guven A, Gunal M, Cevik AK (2006) Prediction of pressure fluctuations on stilling basins. Can J Civ Eng 33(11): 1379-1388.
    • (2006) Can J Civ Eng , vol.33 , Issue.11 , pp. 1379-1388
    • Guven, A.1    Gunal, M.2    Cevik, A.K.3
  • 19
    • 68349106166 scopus 로고    scopus 로고
    • Genetic programming-based empirical model for daily reference evapotranspiration estimation
    • Guven A, Aytek A, Yuce MI, Aksoy H (2007) Genetic programming-based empirical model for daily reference evapotranspiration estimation. Clean-Soil Air Water 36(10-11): 905-912.
    • (2007) Clean-Soil Air Water , vol.36 , Issue.10-11 , pp. 905-912
    • Guven, A.1    Aytek, A.2    Yuce, M.I.3    Aksoy, H.4
  • 20
    • 68049113510 scopus 로고    scopus 로고
    • A new approach for stage-discharge relationship: gene-expression programming
    • Guven A, Aytek A (2009) A new approach for stage-discharge relationship: gene-expression programming. J Hydrol Eng 14(8): 812-820.
    • (2009) J Hydrol Eng , vol.14 , Issue.8 , pp. 812-820
    • Guven, A.1    Aytek, A.2
  • 22
    • 0034306715 scopus 로고    scopus 로고
    • Setting up stage-discharge relations using ANN
    • Jain SK, Chalisgaonkar D (2000) Setting up stage-discharge relations using ANN. J Hydrol Eng 5(4): 428-433.
    • (2000) J Hydrol Eng , vol.5 , Issue.4 , pp. 428-433
    • Jain, S.K.1    Chalisgaonkar, D.2
  • 23
    • 0032920124 scopus 로고    scopus 로고
    • Evaluating the use of goodness-of-fit measures in hydrologic and hydroclimatic model validation
    • Legates DR, McCabe GJ (1999) Evaluating the use of goodness-of-fit measures in hydrologic and hydroclimatic model validation. Water Resour Res 35(1): 233-241.
    • (1999) Water Resour Res , vol.35 , Issue.1 , pp. 233-241
    • Legates, D.R.1    McCabe, G.J.2
  • 24
    • 34548307266 scopus 로고    scopus 로고
    • Analytic stage-discharge formulae for flow in straight trapezoidal open channels
    • doi:10.1016/j.advwatres.2007.05.002
    • Liao H, Knight DW (2007) Analytic stage-discharge formulae for flow in straight trapezoidal open channels. Adv Water Resour. doi: 10. 1016/j. advwatres. 2007. 05. 002.
    • (2007) Adv Water Resour
    • Liao, H.1    Knight, D.W.2
  • 25
    • 0033692068 scopus 로고    scopus 로고
    • River stage forecasting in Bangladesh: neural network approach
    • Liong SY, Lim W, Paudyal GN (2000) River stage forecasting in Bangladesh: neural network approach. J Comput Civ Eng 14(1): 1-18.
    • (2000) J Comput Civ Eng , vol.14 , Issue.1 , pp. 1-18
    • Liong, S.Y.1    Lim, W.2    Paudyal, G.N.3
  • 26
    • 34547743385 scopus 로고    scopus 로고
    • Deriving stage-discharge-sediment concentration relationships using fuzzy logic
    • Lohani AK, Goel NK, Bhatia KKS (2007) Deriving stage-discharge-sediment concentration relationships using fuzzy logic. Hydrol Sci 52(4): 793-807.
    • (2007) Hydrol Sci , vol.52 , Issue.4 , pp. 793-807
    • Lohani, A.K.1    Goel, N.K.2    Bhatia, K.K.S.3
  • 27
    • 0033957764 scopus 로고    scopus 로고
    • Neural networks for the prediction and forecasting of water resources variables: a review of modeling issues and applications
    • Maier HR, Dandy GC (2000) Neural networks for the prediction and forecasting of water resources variables: a review of modeling issues and applications. Environ Model Softw 15(1): 101-124.
    • (2000) Environ Model Softw , vol.15 , Issue.1 , pp. 101-124
    • Maier, H.R.1    Dandy, G.C.2
  • 28
    • 33745034546 scopus 로고    scopus 로고
    • Modelling stage-discharge relationships affected by hysteresis using the Jones formula and nonlinear regression
    • Overleir P (2006) Modelling stage-discharge relationships affected by hysteresis using the Jones formula and nonlinear regression. Hydrol Sci 51(3): 365-388.
    • (2006) Hydrol Sci , vol.51 , Issue.3 , pp. 365-388
    • Overleir, P.1
  • 29
    • 33746887797 scopus 로고    scopus 로고
    • A robust stage-discharge rating curve model based on critical flow from a reservoir
    • Overleir P (2006) A robust stage-discharge rating curve model based on critical flow from a reservoir. Hydrol Res 37(3): 217-233.
    • (2006) Hydrol Res , vol.37 , Issue.3 , pp. 217-233
    • Overleir, P.1
  • 30
    • 33746821810 scopus 로고    scopus 로고
    • Artificial neural networks and high and low flows in various climate regimes
    • Panagoulia D (2006) Artificial neural networks and high and low flows in various climate regimes. Hydrol Sci 51(4): 563-587.
    • (2006) Hydrol Sci , vol.51 , Issue.4 , pp. 563-587
    • Panagoulia, D.1
  • 32
    • 27744590254 scopus 로고    scopus 로고
    • Discharge rating curve extension-a new approach
    • Sivapragasam C, Mutill N (2005) Discharge rating curve extension-a new approach. Water Resour Manag 19: 505-520.
    • (2005) Water Resour Manag , vol.19 , pp. 505-520
    • Sivapragasam, C.1    Mutill, N.2
  • 33
    • 0038105929 scopus 로고    scopus 로고
    • Radial basis function neural network for modeling rating curves
    • Sudheer KP, Jain SK (2003) Radial basis function neural network for modeling rating curves. J Hydrol Eng 8(3): 161-164.
    • (2003) J Hydrol Eng , vol.8 , Issue.3 , pp. 161-164
    • Sudheer, K.P.1    Jain, S.K.2
  • 34
    • 0242656262 scopus 로고    scopus 로고
    • Application of a neural network model in establishing a stage-discharge relationship for a tidal river
    • Supharatid S (2003) Application of a neural network model in establishing a stage-discharge relationship for a tidal river. Hydrol Process 17(15): 3085-3099.
    • (2003) Hydrol Process , vol.17 , Issue.15 , pp. 3085-3099
    • Supharatid, S.1
  • 35
    • 0031180223 scopus 로고    scopus 로고
    • Hysteresis sensitive neural network for modeling rating curves
    • Tawfik M, Ibrahim A, Fahmy H (1997) Hysteresis sensitive neural network for modeling rating curves. J Comput Civ Eng 11(3): 206-211.
    • (1997) J Comput Civ Eng , vol.11 , Issue.3 , pp. 206-211
    • Tawfik, M.1    Ibrahim, A.2    Fahmy, H.3
  • 36
    • 0031898654 scopus 로고    scopus 로고
    • River stage forecasting using artificial neural networks
    • Thirumalaiah K, Deo MC (1998) River stage forecasting using artificial neural networks. J Hydrol Eng 3(1): 26-32.
    • (1998) J Hydrol Eng , vol.3 , Issue.1 , pp. 26-32
    • Thirumalaiah, K.1    Deo, M.C.2


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