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Volumn 45, Issue 4-5, 2014, Pages 540-550

Use of Principal component analysis in conjunction with soft computing methods for investigating total sediment load transferability from laboratory to field scale

Author keywords

Empirical methods; Expert methods; Laboratory and field scale; Principal component analysis; Total load; Transferability

Indexed keywords


EID: 84906908849     PISSN: 19989563     EISSN: 22247955     Source Type: Journal    
DOI: 10.2166/nh.2013.244     Document Type: Article
Times cited : (5)

References (29)
  • 1
    • 0034174396 scopus 로고    scopus 로고
    • Artificial neural network in hydrology. II: Hydrologic application
    • ASCE Task Committee on Application of Artificial Neural Networks in Hydrology
    • ASCE Task Committee on Application of Artificial Neural Networks in Hydrology 2000 Artificial neural network in hydrology. II: hydrologic application. J. Hydrol. Eng. 5(2), 124-137.
    • (2000) J. Hydrol. Eng. , vol.5 , Issue.2 , pp. 124-137
  • 3
    • 34248631948 scopus 로고    scopus 로고
    • Machine learning approach to modeling sediment transport
    • Bhattacharya, B., Price, R. K. & Solomatine, D. P. 2007 Machine learning approach to modeling sediment transport. J. Hydraul. Eng. 133(4), 440-450.
    • (2007) J. Hydraul. Eng. , vol.133 , Issue.4 , pp. 440-450
    • Bhattacharya, B.1    Price, R.K.2    Solomatine, D.P.3
  • 4
    • 77950946914 scopus 로고    scopus 로고
    • Effect of time scale on the performance of different sediment transport formulas in a semiarid region
    • Bisantino, T., Gentile, F., Milella, P. & Liuzzi, G T. 2010 Effect of time scale on the performance of different sediment transport formulas in a semiarid region. J. Hydraul. Eng. 136(1), 56-61.
    • (2010) J. Hydraul. Eng. , vol.136 , Issue.1 , pp. 56-61
    • Bisantino, T.1    Gentile, F.2    Milella, P.3    Liuzzi, G.T.4
  • 5
    • 85040292972 scopus 로고
    • Report No. KH-R-43B, W. M. Keck Laboratory of Hydraulics and Water Resources, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California. November 1981
    • Brownlie, W. R. 1981 Compilation of alluvial channel data: Laboratory and field. Report No. KH-R-43B, W. M. Keck Laboratory of Hydraulics and Water Resources, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California. November 1981.
    • (1981) Compilation of Alluvial Channel Data: Laboratory and Field
    • Brownlie, W.R.1
  • 6
    • 0020573224 scopus 로고
    • Flow depth in sand-bed channels
    • Brownlie, W. R 1983 Flow depth in sand-bed channels. J. Hydraul. Eng. 109(7), 959-990.
    • (1983) J. Hydraul. Eng. , vol.109 , Issue.7 , pp. 959-990
    • Brownlie, W.R.1
  • 7
    • 33845945922 scopus 로고
    • Coefficient alpha and the internal structure of tests
    • Cronbach, L. J. 1951 Coefficient alpha and the internal structure of tests. Psychometrika 16, 297-334.
    • (1951) Psychometrika , vol.16 , pp. 297-334
    • Cronbach, L.J.1
  • 8
    • 84876426961 scopus 로고    scopus 로고
    • PhD Thesis, Department of Civil Engineering, Sakarya University, Sakarya, Turkey in Turkish
    • Dogan, E. 2008 Prediction of total sediment load in open channel with ANN. PhD Thesis, Department of Civil Engineering, Sakarya University, Sakarya, Turkey (in Turkish).
    • (2008) Prediction of Total Sediment Load in Open Channel with ANN
    • Dogan, E.1
  • 9
    • 70349781844 scopus 로고    scopus 로고
    • From flume to rivers: Can sediment transport in natural alluvial channels be predicted from observations at the laboratory scale?
    • Dogan, E., Tripathi, S., Lyn, D. A. & Govindaraju, R S. 2009 From flume to rivers: can sediment transport in natural alluvial channels be predicted from observations at the laboratory scale? J. Water Resour. Res. 45(8), 1-16.
    • (2009) J. Water Resour. Res. , vol.45 , Issue.8 , pp. 1-16
    • Dogan, E.1    Tripathi, S.2    Lyn, D.A.3    Govindaraju, R.S.4
  • 11
    • 0034746272 scopus 로고    scopus 로고
    • Development of integrated sediment rating curves using ANNs
    • Jain, K. S. 2001 Development of integrated sediment rating curves using ANNs. J. Hydraul. Eng. 127(1), 30-37.
    • (2001) J. Hydraul. Eng. , vol.127 , Issue.1 , pp. 30-37
    • Jain, K.S.1
  • 12
    • 0037409648 scopus 로고    scopus 로고
    • Application of principal component analysis for the estimation of source of heavy metal contamination in surface sediments from the Rybnik Reservoir
    • Loska, K. & Wiechula, D. 2003 Application of principal component analysis for the estimation of source of heavy metal contamination in surface sediments from the Rybnik Reservoir. Chemosphere 51(8), 723-733.
    • (2003) Chemosphere , vol.51 , Issue.8 , pp. 723-733
    • Loska, K.1    Wiechula, D.2
  • 14
    • 0036611003 scopus 로고    scopus 로고
    • Prediction of sediment load concentration in rivers using artificial neural network model
    • Nagy, H. M., Watanabe, B. & Hirano, M. 2002 Prediction of sediment load concentration in rivers using artificial neural network model. J. Hydraul. Eng. 128(6), 588-595.
    • (2002) J. Hydraul. Eng. , vol.128 , Issue.6 , pp. 588-595
    • Nagy, H.M.1    Watanabe, B.2    Hirano, M.3
  • 15
    • 77951204309 scopus 로고    scopus 로고
    • Comparison of ANN and principal component analysismultivariate linear regression models for predicting the river flow based on developed discrepancy ratio statistic
    • Noori, R, Khakpour, A., Omidvar, B. & Farokhnia, A. 2010 Comparison of ANN and principal component analysismultivariate linear regression models for predicting the river flow based on developed discrepancy ratio statistic. Exp. Syst. Appl. 37(8), 5856-5862.
    • (2010) Exp. Syst. Appl. , vol.37 , Issue.8 , pp. 5856-5862
    • Noori, R.1    Khakpour, A.2    Omidvar, B.3    Farokhnia, A.4
  • 16
    • 21744458106 scopus 로고    scopus 로고
    • Evaluation of river water quality monitoring stations by principal component analysis
    • Ouyang, Y. 2005 Evaluation of river water quality monitoring stations by principal component analysis. Water Res. 39(12), 2621-2635.
    • (2005) Water Res. , vol.39 , Issue.12 , pp. 2621-2635
    • Ouyang, Y.1
  • 17
    • 84857172285 scopus 로고    scopus 로고
    • Burst detection in water networks using principal component analysis
    • Palau, C. V., Arrequi, F. J. & Carlos, M. 2012 Burst detection in water networks using principal component analysis. J. Water Resour. Plan. Manage. 138(1), 47-54.
    • (2012) J. Water Resour. Plan. Manage. , vol.138 , Issue.1 , pp. 47-54
    • Palau, C.V.1    Arrequi, F.J.2    Carlos, M.3
  • 20
    • 0035312520 scopus 로고    scopus 로고
    • Genetic algorithm for the classification and prediction of precipitation occurrence
    • Sen, Z. & Oztopal, A. 2001 Genetic algorithm for the classification and prediction of precipitation occurrence. J. Hydrol. Sci. 46(2), 255-268.
    • (2001) J. Hydrol. Sci. , vol.46 , Issue.2 , pp. 255-268
    • Sen, Z.1    Oztopal, A.2
  • 21
    • 0036898378 scopus 로고    scopus 로고
    • Artificial neural networks for sheet sediment transport
    • Tayfur, G. 2002 Artificial neural networks for sheet sediment transport. J. Hydrol. Sci. 47(6), 879-892.
    • (2002) J. Hydrol. Sci. , vol.47 , Issue.6 , pp. 879-892
    • Tayfur, G.1
  • 23
    • 34447334519 scopus 로고    scopus 로고
    • Predicting and forecasting flow discharge at sites receiving significant lateral inflow
    • Tayfur, G., Moramarco, T & Singh, V. P. 2007 Predicting and forecasting flow discharge at sites receiving significant lateral inflow. Hydrol. Process. 21(14), 1848-1859.
    • (2007) Hydrol. Process. , vol.21 , Issue.14 , pp. 1848-1859
    • Tayfur, G.1    Moramarco, T.2    Singh, V.P.3
  • 24
    • 0021561247 scopus 로고
    • Sediment transport. Part I: Bed load transport
    • Van Rijn, L. C. 1984a Sediment transport. Part I: bed load transport. J. Hydraul. Eng. 110(10), 1431-1456.
    • (1984) J. Hydraul. Eng. , vol.110 , Issue.10 , pp. 1431-1456
    • Van Rijn, C.1
  • 25
    • 0034161399 scopus 로고    scopus 로고
    • The use of principal component analysis for interpreting ground water hydrographs
    • Winter, T. C, Mallory, S. E., Allen, T R & Rosenberry, D. O. 2000 The use of principal component analysis for interpreting ground water hydrographs. J. Ground Water 38(2), 234-246.
    • (2000) J. Ground Water , vol.38 , Issue.2 , pp. 234-246
    • Winter, T.C.1    Mallory, S.E.2    Allen, T.R.3    Rosenberry, D.O.4
  • 28
    • 78449303915 scopus 로고    scopus 로고
    • Prediction of sediment transportation in deep bay (Hong Kong) using genetic algorithm
    • Zhang, F. X., Wai, O. W. H. & Jiang, Y W. 2010 Prediction of sediment transportation in deep bay (Hong Kong) using genetic algorithm. J. Hydrodyn. 22(5), 599-604.
    • (2010) J. Hydrodyn. , vol.22 , Issue.5 , pp. 599-604
    • Zhang, F.X.1    Wai, O.W.H.2    Jiang, Y.W.3
  • 29
    • 33846274953 scopus 로고    scopus 로고
    • Suspended sediment flux modeling with artificial neural network: An example of the Longchuanjiang River in the Upper Yangtze
    • Zhu, Y. M., Lu, X. X. & Zhou, Y 2006 Suspended sediment flux modeling with artificial neural network: an example of the Longchuanjiang River in the Upper Yangtze. J. Geomorph. 84(1-2), 111-125.
    • (2006) J. Geomorph , vol.84 , Issue.1-2 , pp. 111-125
    • Zhu, Y.M.1    Lu, X.X.2    Zhou, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.