메뉴 건너뛰기




Volumn 56, Issue 3, 2011, Pages 349-361

Monthly rainfall-runoff modelling using artificial neural networks;Modélisation pluie-débit mensuelle à l'aide de réseaux de neurones artificiels

Author keywords

Artificial neural networks; Brazil; Empirical models; Rainfall runoff models

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; BRAZIL; CONCEPTUAL MODEL; CORRELATION COEFFICIENT; DATA SURVEYS; EMPIRICAL MODEL; EMPIRICAL MODELS; INPUT AND OUTPUTS; MATHEMATICAL FUNCTIONS; PARAMETER CALIBRATION; PHYSICAL CHARACTERISTICS; RAINFALL-RUNOFF MODELLING; RAINFALL-RUNOFF MODELS; RAINFALL-RUNOFF PROCESS; RIVER BASINS; TIME-SCALES;

EID: 79956302151     PISSN: 02626667     EISSN: 21503435     Source Type: Journal    
DOI: 10.1080/02626667.2011.559949     Document Type: Article
Times cited : (60)

References (36)
  • 1
    • 33749443208 scopus 로고    scopus 로고
    • Suspended sediment estimation by feed forward back propagation method using hydrometeoro-logical data
    • Alp, M. & Cigizoglu, H. K. (2007) Suspended sediment estimation by feed forward back propagation method using hydrometeoro-logical data. Environ. Model. Software 22(1), 2-13.
    • (2007) Environ. Model. Software , vol.22 , Issue.1 , pp. 2-13
    • Alp, M.1    Cigizoglu, H.K.2
  • 2
    • 0033827239 scopus 로고    scopus 로고
    • Comparison of ANNs and empirical approaches for predicting watershed runoff
    • Anmala, J., Zhang, B. & Govindaraju, R. S. (2000) Comparison of ANNs and empirical approaches for predicting watershed runoff. J. Water Resour. Plan. Manage. 126(3), 156-166.
    • (2000) J. Water Resour. Plan. Manage , vol.126 , Issue.3 , pp. 156-166
    • Anmala, J.1    Zhang, B.2    Govindaraju, R.S.3
  • 3
    • 0034174396 scopus 로고    scopus 로고
    • Artificial neural networks in hydrology II
    • ASCE Task Committee
    • ASCE Task Committee (2000) Artificial neural networks in hydrology II. J. Hydrol. Engng ASCE 5(2), 124-132.
    • (2000) J. Hydrol. Engng ASCE , vol.5 , Issue.2 , pp. 124-132
  • 4
    • 79956295694 scopus 로고    scopus 로고
    • Modelos de redes neurais e Box e Jenkins para previsão de vazões médias mensais
    • Goiana. Relação de trabalhos. Goiana: Associação Brasileira de Recursos Hídricos, ABRH. CD ROM
    • Ballini, R., Franca, E., Kadowaki, M., Soares, S. & Andrade, M. (1997) Modelos de redes neurais e Box e Jenkins para previsão de vazões médias mensais. XII Simpósio Brasileiro de Recursos Hídricos. Goiana. Relação de trabalhos. Goiana: Associação Brasileira de Recursos Hídricos, ABRH. CD ROM.
    • (1997) XII Simpósio Brasileiro De Recursos Hídricos
    • Ballini, R.1    Franca, E.2    Kadowaki, M.3    Soares, S.4    Andrade, M.5
  • 5
    • 0032961025 scopus 로고    scopus 로고
    • River flood forecasting with a neural network model
    • Campolo, M., Andreussi, P. & Soldati, A. (1999) River flood forecasting with a neural network model. Water Resour. Res. 35(34), 1191-1198.
    • (1999) Water Resour. Res , vol.35 , Issue.34 , pp. 1191-1198
    • Campolo, M.1    Andreussi, P.2    Soldati, A.3
  • 6
    • 0037783429 scopus 로고    scopus 로고
    • Incorporation of ARMA models into flow forecasting by artificial neural networks
    • Cigizoglu, H. K. (2003a) Incorporation of ARMA models into flow forecasting by artificial neural networks, Environmetrics 14(4), 417-427.
    • (2003) Environmetrics , vol.14 , Issue.4 , pp. 417-427
    • Cigizoglu, H.K.1
  • 7
    • 0038240755 scopus 로고    scopus 로고
    • Estimation, forecasting and extrapolation of flow data by artificial neural networks
    • Cigizoglu, H. K. (2003b) Estimation, forecasting and extrapolation of flow data by artificial neural networks. Hydrol. Sci. J. 48(3), 349-361.
    • (2003) Hydrol. Sci. J , vol.48 , Issue.3 , pp. 349-361
    • Cigizoglu, H.K.1
  • 8
    • 1342310688 scopus 로고    scopus 로고
    • Estimation and forecasting of daily suspended sediment data by multilayer perceptions
    • Cigizoglu, H. K. (2004) Estimation and forecasting of daily suspended sediment data by multilayer perceptions. Adv. Water Resour. 27, 185-195.
    • (2004) Adv. Water Resour , vol.27 , pp. 185-195
    • Cigizoglu, H.K.1
  • 9
    • 23044443211 scopus 로고    scopus 로고
    • Application of the generalized regression neural networks to intermittent flow forecasting and estimation
    • Cigizoglu, H. K. (2005a) Application of the generalized regression neural networks to intermittent flow forecasting and estimation. J. Hydrol. Engng ASCE 10(4), 336-341.
    • (2005) J. Hydrol. Engng ASCE , vol.10 , Issue.4 , pp. 336-341
    • Cigizoglu, H.K.1
  • 10
    • 27944503514 scopus 로고    scopus 로고
    • Generalized regression neural network in monthly flow forecasting
    • Cigizoglu, H. K. (2005b) Generalized regression neural network in monthly flow forecasting. Civil Engng Environ. Systems 22(2), 71-84.
    • (2005) Civil Engng Environ. Systems , vol.22 , Issue.2 , pp. 71-84
    • Cigizoglu, H.K.1
  • 11
    • 27544493548 scopus 로고    scopus 로고
    • Generalized regression neural network in modelling river sediment yield
    • Cigizoglu, H. K. & Alp, M. (2006) Generalized regression neural network in modelling river sediment yield. Adv. Engng Software 37(2), 63-68.
    • (2006) Adv. Engng Software , vol.37 , Issue.2 , pp. 63-68
    • Cigizoglu, H.K.1    Alp, M.2
  • 12
    • 28944434082 scopus 로고    scopus 로고
    • Methods to improve the neural network performance in suspended sediment estimation
    • Cigizoglu, H. K. & Kisi, O. (2006) Methods to improve the neural network performance in suspended sediment estimation. J. Hydrol. 317(3-4), 221-238.
    • (2006) J. Hydrol , vol.317 , Issue.3-4 , pp. 221-238
    • Cigizoglu, H.K.1    Kisi, O.2
  • 13
    • 0034306554 scopus 로고    scopus 로고
    • Performance evaluation of artificial neural networks for runoff prediction
    • Elshorbagy, A., Simonovic, S. P. & Panu, U. S. (2000) Performance evaluation of artificial neural networks for runoff prediction. J. Hydrol. Engng ASCE 5(4), 424-427.
    • (2000) J. Hydrol. Engng ASCE , vol.5 , Issue.4 , pp. 424-427
    • Elshorbagy, A.1    Simonovic, S.P.2    Panu, U.S.3
  • 14
    • 77649165638 scopus 로고    scopus 로고
    • Previsão de séries de tempo: Redes neurais artificiais e modelos estruturais
    • Fernandes, L. G. L., Navaux, P. O. A. & Portugual, M. S. (1996) Previsão de séries de tempo: redes neurais artificiais e modelos estruturais. Pesquisa e Planejamento Econômico, PPE 26(2), 253-276.
    • (1996) Pesquisa E Planejamento Econômico , vol.26 , Issue.2 , pp. 253-276
    • Fernandes, L.G.L.1    Navaux, P.O.A.2    Portugual, M.S.3
  • 17
    • 0028543366 scopus 로고
    • Training feedforward networks with the Marquardt algorithm. neural networks
    • Hagan, M. T. & Menhaj, M. B. (1994) Training feedforward networks with the Marquardt algorithm. neural networks, IEEE Trans. 5(6), 989-993.
    • (1994) IEEE Trans , vol.5 , Issue.6 , pp. 989-993
    • Hagan, M.T.1    Menhaj, M.B.2
  • 19
    • 0029413797 scopus 로고
    • Artificial neural network modelling of the rainfall-runoff process
    • Hsu, K. L., Gupta, H. V. & Sorroshian, S. (1995) Artificial neural network modelling of the rainfall-runoff process. Water Resour. Res. 31(10), 2517-2530.
    • (1995) Water Resour. Res , vol.31 , Issue.10 , pp. 2517-2530
    • Hsu, K.L.1    Gupta, H.V.2    Sorroshian, S.3
  • 20
    • 0033197895 scopus 로고    scopus 로고
    • Application of ANN for reservoir inflow prediction and operation
    • Jain, S. K., Das, A. & Srivastava, D. K. (1999) Application of ANN for reservoir inflow prediction and operation. J. Water Resour. Plan. Manage. ASCE 125(5), 263-271.
    • (1999) J. Water Resour. Plan. Manage. ASCE , vol.125 , Issue.5 , pp. 263-271
    • Jain, S.K.1    Das, A.2    Srivastava, D.K.3
  • 21
    • 79956303341 scopus 로고    scopus 로고
    • Previsão de vazões mensais utilizando redes neurais multicamadas com algoritmo back-propagation
    • Goiana, Brazil
    • Kadowaki, M. & Andrade, M. G. (1997) Previsão de vazões mensais utilizando redes neurais multicamadas com algoritmo back-propagation. Simpósio Brasileiro de Redes Neurais. Goiana, Brazil.
    • (1997) Simpósio Brasileiro De Redes Neurais
    • Kadowaki, M.1    Andrade, M.G.2
  • 22
    • 74949094860 scopus 로고    scopus 로고
    • Análise de mod-elos de redes neurais aplicados ao processo chuva-deflúvio no semi-árido
    • Curitiba. Relação de trabalhos. Curitiba: Associação Brasileira de Recursos Hídricos, ABRH. CD ROM
    • Lima, C. H. R. & Ferreira Filho, W. M. (2003) Análise de mod-elos de redes neurais aplicados ao processo chuva-deflúvio no semi-árido. XV Simpósio Brasileiro de Recursos Hídricos. Curitiba. Relação de trabalhos. Curitiba: Associação Brasileira de Recursos Hídricos, ABRH. CD ROM.
    • (2003) XV Simpósio Brasileiro De Recursos Hídricos
    • Lima, C.H.R.1    Ferreira Filho, W.M.2
  • 25
    • 63149104793 scopus 로고    scopus 로고
    • Multi-criteria validation of artificial neural network rainfall-runoff modeling
    • Modarres R. (2009) Multi-criteria validation of artificial neural network rainfall-runoff modeling. Hydrol. Earth System Sci. 13(3), 411-421.
    • (2009) Hydrol. Earth System Sci , vol.13 , Issue.3 , pp. 411-421
    • Modarres, R.1
  • 27
    • 0034161578 scopus 로고    scopus 로고
    • Neural network-based simulation-optimization model for reservoir operation
    • Neelakantan, T. R. & Pundarikanthan, N. V. (2000) Neural network-based simulation-optimization model for reservoir operation. J. Water Resour. Plan. Manage. ASCE 126(2), 57-64.
    • (2000) J. Water Resour. Plan. Manage. ASCE , vol.126 , Issue.2 , pp. 57-64
    • Neelakantan, T.R.1    Pundarikanthan, N.V.2
  • 28
    • 69949188486 scopus 로고    scopus 로고
    • Prediction of daily precipitation using wavelet-neural networks
    • Partal, T. & Cigizoglu, H. K. (2009) Prediction of daily precipitation using wavelet-neural networks. Hydrol. Sci. J. 54(2), 234-246.
    • (2009) Hydrol. Sci. J , vol.54 , Issue.2 , pp. 234-246
    • Partal, T.1    Cigizoglu, H.K.2
  • 29
    • 0036899543 scopus 로고    scopus 로고
    • Artificial neural network for daily rainfall-runoff modelling
    • Rajurkar, M. P., Kothyari, U. C. & Chaube, U. C. (2002) Artificial neural network for daily rainfall-runoff modelling. Hydrol. Sci. J. 47(6), 865-877.
    • (2002) Hydrol. Sci. J , vol.47 , Issue.6 , pp. 865-877
    • Rajurkar, M.P.1    Kothyari, U.C.2    Chaube, U.C.3
  • 30
    • 0347135926 scopus 로고    scopus 로고
    • Modeling of daily rainfall-runoff relationship with artificial neural network
    • Rajurkar, M. P., Kothyari, U. C. & Chaube, U. C. (2004). Modeling of daily rainfall-runoff relationship with artificial neural network. J. Hydrol. 285, 96-113.
    • (2004) J. Hydrol , vol.285 , pp. 96-113
    • Rajurkar, M.P.1    Kothyari, U.C.2    Chaube, U.C.3
  • 31
    • 74949100489 scopus 로고    scopus 로고
    • Estabilidade de redes neurais em modelagem hidrometeorológica
    • Aracajú. Relação de trabalhos. Aracajú: Associação Brasileira de Recursos Hídricos, ABRH. CD ROM
    • Ramos, A. M. & Galvão, C. O. (2001) Estabilidade de redes neurais em modelagem hidrometeorológica. XIV Simpósio Brasileiro de Recursos Hídricos, Aracajú. Relação de trabalhos. Aracajú: Associação Brasileira de Recursos Hídricos, ABRH. CD ROM.
    • (2001) XIV Simpósio Brasileiro De Recursos Hídricos
    • Ramos, A.M.1    Galvão, C.O.2
  • 32
    • 0033535432 scopus 로고    scopus 로고
    • A non-linear rainfall- runoff model using artificial neural network
    • Sajikumar, N. & Thandaveswara, B. S. (1999) A non-linear rainfall- runoff model using artificial neural network. J. Hydrol. 216 (1-2), 32-55.
    • (1999) J. Hydrol , vol.216 , Issue.1-2 , pp. 32-55
    • Sajikumar, N.1    Thandaveswara, B.S.2
  • 33
    • 0034174356 scopus 로고    scopus 로고
    • Hydrological forecasting using neural networks
    • Thirumalaia, K. & Deo, M. (2000) Hydrological forecasting using neural networks. J. Hydrol. Engng ASCE 5(2), 180-189.
    • (2000) J. Hydrol. Engng ASCE , vol.5 , Issue.2 , pp. 180-189
    • Thirumalaia, K.1    Deo, M.2
  • 34
    • 0033167344 scopus 로고    scopus 로고
    • Rainfall-runoff modelling using artificial neural networks
    • Tokar, A. S. & Johnson, P. A. (1999) Rainfall-runoff modelling using artificial neural networks. J. Hydrol. Engng ASCE 4(3), 232-239.
    • (1999) J. Hydrol. Engng ASCE , vol.4 , Issue.3 , pp. 232-239
    • Tokar, A.S.1    Johnson, P.A.2
  • 35
    • 0034174397 scopus 로고    scopus 로고
    • Precipitation - runoff modelling using artificial neural networks and conceptual models
    • Tokar, A. S. & Markus, M. (2000) Precipitation - runoff modelling using artificial neural networks and conceptual models. J. Hydrol. Engng ASCE 5(2), 156-161.
    • (2000) J. Hydrol. Engng ASCE , vol.5 , Issue.2 , pp. 156-161
    • Tokar, A.S.1    Markus, M.2
  • 36
    • 33750316055 scopus 로고    scopus 로고
    • Porto Alegre, Brazil: Universidade/UFRGS/ABRH
    • Tucci, C. E. M. (1998) Modelos Hidrológicos. Porto Alegre, Brazil: Universidade/UFRGS/ABRH.
    • (1998) Modelos Hidrológicos
    • Tucci, C.E.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.