메뉴 건너뛰기




Volumn 16, Issue 8, 2011, Pages 613-627

River suspended sediment load prediction: Application of ANN and wavelet conjunction model

Author keywords

Hysteresis; Iowa; Neural networks; Predictions; Rivers and streams; Suspended sediment; Wavelet

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DIFFERENT SCALE; ENVIRONMENTAL SYSTEMS; HYSTERESIS PHENOMENON; INTEGRAL COMPONENTS; IOWA; MULTILINEAR REGRESSION; NEW APPLICATIONS; PREDICTING MODELS; PREDICTIONS; RESOLUTION LEVEL; RIVER DISCHARGE; RIVER GAUGING; RIVER SUSPENDED SEDIMENTS; SEDIMENT RATING CURVES; SUSPENDED SEDIMENT LOADS; SUSTAINABLE WATER RESOURCES; WAVELET;

EID: 79961076393     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)HE.1943-5584.0000347     Document Type: Article
Times cited : (118)

References (70)
  • 1
    • 0034745667 scopus 로고    scopus 로고
    • Wavelet transform analysis of open channel wake flows
    • JENMDT, 0733-9399, 10.1061/(ASCE)0733-9399(2001)127:1(58)
    • Addison P.S. Murrary K.B. Watson J.N. Wavelet transform analysis of open channel wake flows. J. Eng. Mech. 2001, 127(1):58-70. JENMDT, 0733-9399, 10.1061/(ASCE)0733-9399(2001)127:1(58)
    • (2001) J. Eng. Mech. , vol.127 , Issue.1 , pp. 58-70
    • Addison, P.S.1    Murrary, K.B.2    Watson, J.N.3
  • 2
    • 33749443208 scopus 로고    scopus 로고
    • Suspended sediment load simulation by two artificial neural network methods using hydrometeorological data
    • EMSOFT, 1364-8152, 10.1016/j.envsoft.2005.09.009
    • Alp M. Cigizoglu H.K. Suspended sediment load simulation by two artificial neural network methods using hydrometeorological data. Environ. Model. Software 2007, 22(1):2-13. EMSOFT, 1364-8152, 10.1016/j.envsoft.2005.09.009
    • (2007) Environ. Model. Software , vol.22 , Issue.1 , pp. 2-13
    • Alp, M.1    Cigizoglu, H.K.2
  • 3
    • 0034174396 scopus 로고    scopus 로고
    • Artificial neural networks in hydrology, II: Hydrologic application
    • ASCE Task Committee on Application of ANNs in Hydrology, JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2000)5:2(124)
    • Artificial neural networks in hydrology, II: Hydrologic application. J. Hydrol. Eng. 2000, 5(2):124-137. ASCE Task Committee on Application of ANNs in Hydrology, JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2000)5:2(124)
    • (2000) J. Hydrol. Eng. , vol.5 , Issue.2 , pp. 124-137
  • 4
    • 0034738487 scopus 로고    scopus 로고
    • Fitting and interpretation of sediment rating curves
    • JHYDA7, 0022-1694, 10.1016/S0022-1694(00)00253-5
    • Asselman N.E. M. Fitting and interpretation of sediment rating curves. J. Hydrol. (Amsterdam) 2000, 234(3-4):228-248. JHYDA7, 0022-1694, 10.1016/S0022-1694(00)00253-5
    • (2000) J. Hydrol. (Amsterdam) , vol.234 , Issue.3-4 , pp. 228-248
    • Asselman, N.E.M.1
  • 5
    • 19944401912 scopus 로고    scopus 로고
    • Data-driven modelling in the context of sediment transport
    • PCEAAV, 0079-1946
    • Bhattacharya B. Price R.K. Solomatine D.P. Data-driven modelling in the context of sediment transport. Phys. Chem. Earth 2005, 30(4-5):297-302. PCEAAV, 0079-1946
    • (2005) Phys. Chem. Earth , vol.30 , Issue.4-5 , pp. 297-302
    • Bhattacharya, B.1    Price, R.K.2    Solomatine, D.P.3
  • 6
    • 84874237884 scopus 로고    scopus 로고
    • River flow forecasting using neural networks and wavelet analysis
    • European Geosciences Union, Vienna, Austria.
    • Cannas B. Fanni A. Sias G. Tronei S. Zedda M.K. River flow forecasting using neural networks and wavelet analysis. EGU 2005 2005, 24-29. European Geosciences Union, Vienna, Austria.
    • (2005) EGU 2005 , pp. 24-29
    • Cannas, B.1    Fanni, A.2    Sias, G.3    Tronei, S.4    Zedda, M.K.5
  • 7
    • 33751401308 scopus 로고    scopus 로고
    • Data preprocessing for river flow forecasting using neural networks: Wavelet transforms and data partitioning
    • PCEAAV, 0079-1946
    • Cannas B. Fanni A. See L. Sias G. Data preprocessing for river flow forecasting using neural networks: Wavelet transforms and data partitioning. Phys. Chem. Earth 2006, 31(18):1164-1171. PCEAAV, 0079-1946
    • (2006) Phys. Chem. Earth , vol.31 , Issue.18 , pp. 1164-1171
    • Cannas, B.1    Fanni, A.2    See, L.3    Sias, G.4
  • 8
    • 1342310688 scopus 로고    scopus 로고
    • Estimation and forecasting of daily suspended sediment data by multi layer perceptrons
    • AWREDI, 0309-1708, 10.1016/j.advwatres.2003.10.003
    • Cigizoglu H.K. Estimation and forecasting of daily suspended sediment data by multi layer perceptrons. Adv. Water Resour. 2004, 27(2):185-195. AWREDI, 0309-1708, 10.1016/j.advwatres.2003.10.003
    • (2004) Adv. Water Resour. , vol.27 , Issue.2 , pp. 185-195
    • Cigizoglu, H.K.1
  • 9
    • 12544253180 scopus 로고    scopus 로고
    • Flow prediction by three back propagation techniques using k-fold partitioning of neural network training data
    • NOHYBB, 0029-1277
    • Cigizoglu H.K. Kisi O. Flow prediction by three back propagation techniques using k-fold partitioning of neural network training data. Nord. Hydrol. 2005, 36(1):49-64. NOHYBB, 0029-1277
    • (2005) Nord. Hydrol. , vol.36 , Issue.1 , pp. 49-64
    • Cigizoglu, H.K.1    Kisi, O.2
  • 10
    • 28944434082 scopus 로고    scopus 로고
    • Methods to improve the neural network performance in suspended sediment estimation
    • JHYDA7, 0022-1694
    • Cigizoglu H.K. Kisi O. Methods to improve the neural network performance in suspended sediment estimation. J. Hydrol. 2006, 317(3-4):221-238. JHYDA7, 0022-1694
    • (2006) J. Hydrol. , vol.317 , Issue.3-4 , pp. 221-238
    • Cigizoglu, H.K.1    Kisi, O.2
  • 11
    • 79961078040 scopus 로고
    • A monograph on sediment transport in alluvial streams, Danish Technical (Teknisk Forlag), Copenhagen, Denmark.
    • Engelund F. Hansen E. 1967, and A monograph on sediment transport in alluvial streams, Danish Technical (Teknisk Forlag), Copenhagen, Denmark.
    • (1967)
    • Engelund, F.1    Hansen, E.2
  • 12
    • 79958793217 scopus 로고    scopus 로고
    • Runoff forecasting with artificial neural network model
    • New Zealand Water and Wastes Association, Auckland, New Zealand.
    • Fernando A.K. Kerr T. Runoff forecasting with artificial neural network model. 3rd Pacific Conf. on Stormwater and Aquatic Resource Protection 2003, New Zealand Water and Wastes Association, Auckland, New Zealand.
    • (2003) 3rd Pacific Conf. on Stormwater and Aquatic Resource Protection
    • Fernando, A.K.1    Kerr, T.2
  • 15
    • 0000562670 scopus 로고
    • Decomposition of hardy functions into square sintegrable wavelets constant shapes
    • JMANAK, 0022-247X
    • Grossman A. Morlet J. Decomposition of hardy functions into square sintegrable wavelets constant shapes. J. Math. Anal. Appl. 1984, 15:723-736. JMANAK, 0022-247X
    • (1984) J. Math. Anal. Appl. , vol.15 , pp. 723-736
    • Grossman, A.1    Morlet, J.2
  • 17
  • 18
    • 44949260972 scopus 로고    scopus 로고
    • Wavelet-based multiresolution analysis for data cleaning and its application to water quality management systems
    • ESAPEH, 0957-4174, 10.1016/j.eswa.2007.08.009
    • He L. Huang G.H. Zeng G.M. Lu H.W. Wavelet-based multiresolution analysis for data cleaning and its application to water quality management systems. Expert Syst. Appl. 2008, 35(3):1301-1310. ESAPEH, 0957-4174, 10.1016/j.eswa.2007.08.009
    • (2008) Expert Syst. Appl. , vol.35 , Issue.3 , pp. 1301-1310
    • He, L.1    Huang, G.H.2    Zeng, G.M.3    Lu, H.W.4
  • 19
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • NNETEB, 0893-6080, 10.1016/0893-6080(89)90020-8
    • Hornik K. Stinchcombe M. White H. Multilayer feedforward networks are universal approximators. Neural Netw. 1989, 2(5):359-366. NNETEB, 0893-6080, 10.1016/0893-6080(89)90020-8
    • (1989) Neural Netw. , vol.2 , Issue.5 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 20
    • 33751514616 scopus 로고    scopus 로고
    • Sediment transport time series in the Tiber River
    • PCEAAV, 0079-1946
    • Iadanza C. Napolitano F. Sediment transport time series in the Tiber River. Phys. Chem. Earth 2006, 31(18):1212-1227. PCEAAV, 0079-1946
    • (2006) Phys. Chem. Earth , vol.31 , Issue.18 , pp. 1212-1227
    • Iadanza, C.1    Napolitano, F.2
  • 21
    • 39549114408 scopus 로고    scopus 로고
    • Development of integrated discharge and sediment rating relation using a compound neural network
    • JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2008)13:3(124)
    • Jain S.K. Development of integrated discharge and sediment rating relation using compound neural network. J. Hydrol. Eng. 2008, 13(3):124-131. JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2008)13:3(124)
    • (2008) J. Hydrol. Eng. , vol.13 , Issue.3 , pp. 124-131
    • Jain, S.K.1
  • 22
    • 32544437144 scopus 로고    scopus 로고
    • Determining the structure of a radial basis function network for prediction of nonlinear hydrological time series
    • HSJODN, 0262-6667, 10.1623/hysj.51.1.21
    • Jayawardena A.W. Xu P.C. Tsang F.L. Li W.K. Determining the structure of radial basis function network for prediction of nonlinear hydrological time series. Hydrol. Sci. J. 2006, 51(1):21-44. HSJODN, 0262-6667, 10.1623/hysj.51.1.21
    • (2006) Hydrol. Sci. J. , vol.51 , Issue.1 , pp. 21-44
    • Jayawardena, A.W.1    Xu, P.C.2    Tsang, F.L.3    Li, W.K.4
  • 23
    • 0344121593 scopus 로고    scopus 로고
    • Nonlinear model for drought forecasting based on a conjunction of wavelet transforms and neural networks
    • JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2003)8:6(319)
    • Kim T.W. Valdes J.B. Nonlinear model for drought forecasting based on conjunction of wavelet transforms and neural networks. J. Hydrol. Eng. 2003, 8(6):319-328. JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2003)8:6(319)
    • (2003) J. Hydrol. Eng. , vol.8 , Issue.6 , pp. 319-328
    • Kim, T.W.1    Valdes, J.B.2
  • 24
    • 1642497522 scopus 로고    scopus 로고
    • River flow modeling using artificial neural networks
    • JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2004)9:1(60)
    • Kisi O. River flow modeling using artificial neural networks. J. Hydrol. Eng. 2004, 9(1):60-63. JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2004)9:1(60), (a)
    • (2004) J. Hydrol. Eng. , vol.9 , Issue.1 , pp. 60-63
    • Kisi, O.1
  • 25
    • 10244249159 scopus 로고    scopus 로고
    • Multi-layer perceptions with Levenberg-Marquardt training algorithm for suspended sediment concentration prediction and estimation
    • HSJODN, 0262-6667, 10.1623/hysj.49.6.1025.55720
    • Kisi O. Multi-layer perceptions with Levenberg-Marquardt training algorithm for suspended sediment concentration prediction and estimation. Hydrol. Sci. J. 2004, 49(6):1. HSJODN, 0262-6667, 10.1623/hysj.49.6.1025.55720, (b)
    • (2004) Hydrol. Sci. J. , vol.49 , Issue.6 , pp. 1
    • Kisi, O.1
  • 26
    • 23044459648 scopus 로고    scopus 로고
    • Suspended sediment estimation using neuro-fuzzy and neural network approaches
    • HSJODN, 0262-6667
    • Kisi O. Suspended sediment estimation using neuro-fuzzy and neural network approaches. Hydrol. Sci. J. 2005, 50(4):683-696. HSJODN, 0262-6667
    • (2005) Hydrol. Sci. J. , vol.50 , Issue.4 , pp. 683-696
    • Kisi, O.1
  • 27
    • 34548146808 scopus 로고    scopus 로고
    • Streamflow forecasting using different artificial neural network algorithms
    • JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2007)12:5(532)
    • Kisi O. Streamflow forecasting using different artificial neural network algorithms. J. Hydrol. Eng. 2007, 12(5):532-539. JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2007)12:5(532)
    • (2007) J. Hydrol. Eng. , vol.12 , Issue.5 , pp. 532-539
    • Kisi, O.1
  • 28
    • 61849131098 scopus 로고    scopus 로고
    • Stream flow forecasting using neuro-wavelet technique
    • HYPRE3, 0885-6087, 10.1002/hyp.7014
    • Kisi O. Stream flow forecasting using neuro-wavelet technique. Hydrol. Processes 2008, 22(20):4142-4152. HYPRE3, 0885-6087, 10.1002/hyp.7014
    • (2008) Hydrol. Processes , vol.22 , Issue.20 , pp. 4142-4152
    • Kisi, O.1
  • 29
    • 28444499418 scopus 로고    scopus 로고
    • Recent advances in wavelet analyses, part 1: A review of concepts
    • JHYDA7, 0022-1694, 10.1016/j.jhydrol.2005.04.003
    • Labat D. Recent advances in wavelet analyses, part 1: review of concepts. J. Hydrol. (Amsterdam) 2005, 314(1-4):275-288. JHYDA7, 0022-1694, 10.1016/j.jhydrol.2005.04.003
    • (2005) J. Hydrol. (Amsterdam) , vol.314 , Issue.1-4 , pp. 275-288
    • Labat, D.1
  • 30
    • 0032920124 scopus 로고    scopus 로고
    • Evaluating the use of goodness-of-fit measures in hydrologic and hydroclimatic model validation
    • WRERAQ, 0043-1397, 10.1029/1998WR900018
    • Legates D.R. McCabe G.J. Evaluating the use of goodness-of-fit measures in hydrologic and hydroclimatic model validation. Water Resour. Res. 1999, 35(1):233-241. WRERAQ, 0043-1397, 10.1029/1998WR900018
    • (1999) Water Resour. Res. , vol.35 , Issue.1 , pp. 233-241
    • Legates, D.R.1    McCabe, G.J.2
  • 31
    • 36249012005 scopus 로고    scopus 로고
    • Investigation of groundwater response to overland flow and topography using a coupled MIKE SHE/MIKE 11 modeling system for an arid watershed
    • JHYDA7, 0022-1694, 10.1016/j.jhydrol.2007.09.053
    • Liu H.L. Chen X. Bao A.M. Wang L. Investigation of groundwater response to overland flow and topography using coupled MIKE SHE/MIKE 11 modeling system for an arid watershed. J. Hydrol. (Amsterdam) 2007, 347(3-4):448-459. JHYDA7, 0022-1694, 10.1016/j.jhydrol.2007.09.053
    • (2007) J. Hydrol. (Amsterdam) , vol.347 , Issue.3-4 , pp. 448-459
    • Liu, H.L.1    Chen, X.2    Bao, A.M.3    Wang, L.4
  • 32
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: The wavelet representation
    • ITPIDJ, 0162-8828, 10.1109/34.192463
    • Mallat S.G. theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. Pattern Anal. Mach. Intell. 1989, 11(7):674-693. ITPIDJ, 0162-8828, 10.1109/34.192463
    • (1989) IEEE Trans. Pattern Anal. Mach. Intell. , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.G.1
  • 35
    • 51249194645 scopus 로고
    • A logical calculus of the ideas immanent in neural nets
    • BMBIAO, 0007-4985, 10.1007/BF02478259
    • McCulloch W.S. Pitts W.H. logical calculus of the ideas immanent in neural nets. Bull. Math. Biophys. 1943, 5(4):115-133. BMBIAO, 0007-4985, 10.1007/BF02478259
    • (1943) Bull. Math. Biophys. , vol.5 , Issue.4 , pp. 115-133
    • McCulloch, W.S.1    Pitts, W.H.2
  • 36
    • 34548307197 scopus 로고    scopus 로고
    • Internal fault current identification based on wavelet transform in power transformers
    • EPSRDN, 0378-7796, 10.1016/j.epsr.2006.11.013
    • Monsef H. Lotfifard S. Internal fault current identification based on wavelet transform in power transformers. Electr. Power Syst. Res. 2007, 77(12):1637-1645. EPSRDN, 0378-7796, 10.1016/j.epsr.2006.11.013
    • (2007) Electr. Power Syst. Res. , vol.77 , Issue.12 , pp. 1637-1645
    • Monsef, H.1    Lotfifard, S.2
  • 38
    • 45549099053 scopus 로고    scopus 로고
    • Relationships among rainfall, runoff, and suspended sediment in a small catchment with badlands
    • CIJPD3, 0341-8162, 10.1016/j.catena.2008.03.014
    • Nadal-Romero E. Regüés D. Latron J. Relationships among rainfall, runoff, and suspended sediment in small catchment with badlands. Catena 2008, 74(2):127-136. CIJPD3, 0341-8162, 10.1016/j.catena.2008.03.014
    • (2008) Catena , vol.74 , Issue.2 , pp. 127-136
    • Nadal-Romero, E.1    Regüés, D.2    Latron, J.3
  • 39
    • 0036611003 scopus 로고    scopus 로고
    • Prediction of load concentration in rivers using artificial neural network model
    • JHEND8, 0733-9429, 10.1061/(ASCE)0733-9429(2002)128:6(588)
    • Nagy H.M. Watanabe K. Hirano M. Prediction of load concentration in rivers using artificial neural network model. J. Hydraul. Eng. 2002, 128(6):588-595. JHEND8, 0733-9429, 10.1061/(ASCE)0733-9429(2002)128:6(588)
    • (2002) J. Hydraul. Eng. , vol.128 , Issue.6 , pp. 588-595
    • Nagy, H.M.1    Watanabe, K.2    Hirano, M.3
  • 40
    • 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: 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
  • 41
    • 33751550700 scopus 로고    scopus 로고
    • Time-series analysis of a heterolithic, ripple-laminated deposit (Early Jurassic, Tilje Formation) and implications for reservoir modeling
    • MAGEA6, 0025-3227, 10.1016/j.margeo.2006.10.019
    • Nordahl K. Martinius A.W. Kritski A. Time-series analysis of heterolithic, ripple-laminated deposit (Early Jurassic, Tilje Formation) and implications for reservoir modeling. Mar. Geol. 2006, 235(1-4):255-271. MAGEA6, 0025-3227, 10.1016/j.margeo.2006.10.019
    • (2006) Mar. Geol. , vol.235 , Issue.1-4 , pp. 255-271
    • Nordahl, K.1    Martinius, A.W.2    Kritski, A.3
  • 42
    • 61349106542 scopus 로고    scopus 로고
    • A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation
    • EAAIE6, 0952-1976, 10.1016/j.engappai.2008.09.003
    • Nourani V. Alami M.T. Aminfar M.H. A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation. Eng. Appl. Artif. Intell. 2009, 22(3):466-472. EAAIE6, 0952-1976, 10.1016/j.engappai.2008.09.003, and (a)
    • (2009) Eng. Appl. Artif. Intell. , vol.22 , Issue.3 , pp. 466-472
    • Nourani, V.1    Alami, M.T.2    Aminfar, M.H.3
  • 43
    • 70350337875 scopus 로고    scopus 로고
    • A multivariate ANN-wavelet approach for rainfall-runoff modeling
    • WRMAEJ, 0920-4741, 10.1007/s11269-009-9414-5
    • Nourani V. Komasi M. Mano A. A multivariate ANN-wavelet approach for rainfall-runoff modeling. Water Resour. Manage. 2009, 23(14):2877-2894. WRMAEJ, 0920-4741, 10.1007/s11269-009-9414-5, and (b)
    • (2009) Water Resour. Manage. , vol.23 , Issue.14 , pp. 2877-2894
    • Nourani, V.1    Komasi, M.2    Mano, A.3
  • 44
    • 67649122251 scopus 로고    scopus 로고
    • An ANN-based model for spatiotemporal groundwater level forecasting
    • HYPRE3, 0885-6087, 10.1002/hyp.7129
    • Nourani V. Mogaddam A.A. Nadiri A.O. An ANN-based model for spatiotemporal groundwater level forecasting. Hydrol. Processes 2008, 22(26):5054-5066. HYPRE3, 0885-6087, 10.1002/hyp.7129
    • (2008) Hydrol. Processes , vol.22 , Issue.26 , pp. 5054-5066
    • Nourani, V.1    Mogaddam, A.A.2    Nadiri, A.O.3
  • 45
    • 15944400056 scopus 로고    scopus 로고
    • Determination of the relationship between sewage odour and BOD by neural networks
    • EMSOFT, 1364-8152, 10.1016/j.envsoft.2004.04.012
    • Onkal-Engin G. Demir I. Engin S.N. Determination of the relationship between sewage odour and BOD by neural networks. Environ. Model. Software 2005, 20(7):843-850. EMSOFT, 1364-8152, 10.1016/j.envsoft.2004.04.012
    • (2005) Environ. Model. Software , vol.20 , Issue.7 , pp. 843-850
    • Onkal-Engin, G.1    Demir, I.2    Engin, S.N.3
  • 46
    • 34250715899 scopus 로고    scopus 로고
    • Forecasting of the daily meteorological pollution using wavelets and support vector machine
    • EAAIE6, 0952-1976, 10.1016/j.engappai.2006.10.008
    • Osowski S. Garanty K. Forecasting of the daily meteorological pollution using wavelets and support vector machine. Eng. Appl. Artif. Intell. 2007, 20(6):745-755. EAAIE6, 0952-1976, 10.1016/j.engappai.2006.10.008
    • (2007) Eng. Appl. Artif. Intell. , vol.20 , Issue.6 , pp. 745-755
    • Osowski, S.1    Garanty, K.2
  • 47
    • 48649085521 scopus 로고    scopus 로고
    • Estimation and forecasting of the daily suspended sediment data using wavelet-neural networks
    • JHYDA7, 0022-1694, 10.1016/j.jhydrol.2008.06.013
    • Partal T. Cigizoglu H.K. Estimation and forecasting of the daily suspended sediment data using wavelet-neural networks. J. Hydrol. (Amsterdam) 2008, 358(3-4):317-331. JHYDA7, 0022-1694, 10.1016/j.jhydrol.2008.06.013
    • (2008) J. Hydrol. (Amsterdam) , vol.358 , Issue.3-4 , pp. 317-331
    • Partal, T.1    Cigizoglu, H.K.2
  • 48
    • 33845993301 scopus 로고    scopus 로고
    • Discharge trends and flow dynamics of South American rivers draining the southern Atlantic seaboard: An overview
    • JHYDA7, 0022-1694, 10.1016/j.jhydrol.2006.09.005
    • Pasquini A. Depetris P. Discharge trends and flow dynamics of South American rivers draining the southern Atlantic seaboard: An overview. J. Hydrol. (Amsterdam) 2007, 333(2-4):385-399. JHYDA7, 0022-1694, 10.1016/j.jhydrol.2006.09.005
    • (2007) J. Hydrol. (Amsterdam) , vol.333 , Issue.2-4 , pp. 385-399
    • Pasquini, A.1    Depetris, P.2
  • 49
    • 84872548900 scopus 로고    scopus 로고
    • Early stopping-but when?
    • LNCSD9, 0302-9743, 10.1007/3-540-49430-8_3
    • Prechelt L. Early stopping-but when?. Lect. Notes Comput. Sci. 1998, 1524:55-69. LNCSD9, 0302-9743, 10.1007/3-540-49430-8_3
    • (1998) Lect. Notes Comput. Sci. , vol.1524 , pp. 55-69
    • Prechelt, L.1
  • 50
    • 31444443313 scopus 로고    scopus 로고
    • Runoff and sediment yield modeling using artificial neural networks: Upper Siwane River, India
    • JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2006)11:1(71)
    • Raghuwanshi N. Singh R. Reddy L. Runoff and sediment yield modeling using artificial neural networks: Upper Siwane River, India. J. Hydrol. Eng. 2006, 11(1):71-79. JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(2006)11:1(71)
    • (2006) J. Hydrol. Eng. , vol.11 , Issue.1 , pp. 71-79
    • Raghuwanshi, N.1    Singh, R.2    Reddy, L.3
  • 51
    • 77949939808 scopus 로고    scopus 로고
    • Wavelet and neuro-fuzzy conjunction approach for suspended sediment prediction
    • CSAWAC, 1863-0650, 10.1002/clen.200900191
    • Rajaee T. Wavelet and neuro-fuzzy conjunction approach for suspended sediment prediction. Clean: Soil, Air, Water 2010, 38(3):275-286. CSAWAC, 1863-0650, 10.1002/clen.200900191
    • (2010) Clean: Soil, Air, Water , vol.38 , Issue.3 , pp. 275-286
    • Rajaee, T.1
  • 52
    • 67649111107 scopus 로고    scopus 로고
    • Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models
    • STENDL, 0048-9697, 10.1016/j.scitotenv.2009.05.016
    • Rajaee T. Mirbagheri S.A. Zounemat-Kermani M. Nourani V. Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models. Sci. Total Environ. 2009, 407(17):4916-4927. STENDL, 0048-9697, 10.1016/j.scitotenv.2009.05.016
    • (2009) Sci. Total Environ. , vol.407 , Issue.17 , pp. 4916-4927
    • Rajaee, T.1    Mirbagheri, S.A.2    Zounemat-Kermani, M.3    Nourani, V.4
  • 53
    • 33747034421 scopus 로고    scopus 로고
    • Temporal distribution of suspended sediment transport in a Mediterranean basin: The Lower Tordera (NE Spain)
    • GMPHAA, 0169-555X, 10.1016/j.geomorph.2005.09.016
    • Rovira A. Batalla R.J. Temporal distribution of suspended sediment transport in Mediterranean basin: The Lower Tordera (NE Spain). Geomorphology 2006, 79(1-2):58-71. GMPHAA, 0169-555X, 10.1016/j.geomorph.2005.09.016
    • (2006) Geomorphology , vol.79 , Issue.1-2 , pp. 58-71
    • Rovira, A.1    Batalla, R.J.2
  • 54
    • 0022854201 scopus 로고
    • Sediment transport in the Burhi Dihing River, India
    • R. F. Hadley, ed., IAHS Press, Oxfordshire, UK.
    • Sarma J.N. Sediment transport in the Burhi Dihing River, India. Drainage basin sediment delivery 1986, 159:199-215. R. F. Hadley, ed., IAHS Press, Oxfordshire, UK.
    • (1986) Drainage basin sediment delivery , vol.159 , pp. 199-215
    • Sarma, J.N.1
  • 55
    • 33744816480 scopus 로고    scopus 로고
    • Artificial neural networks for the solution of the phase stability problem
    • FPEQDT, 0378-3812, 10.1016/j.fluid.2006.02.013
    • Schmitz J.E. Zemp R.J. Mendes M.J. Artificial neural networks for the solution of the phase stability problem. Fluid Phase Equilib. 2006, 245(1):83-87. FPEQDT, 0378-3812, 10.1016/j.fluid.2006.02.013
    • (2006) Fluid Phase Equilib. , vol.245 , Issue.1 , pp. 83-87
    • Schmitz, J.E.1    Zemp, R.J.2    Mendes, M.J.3
  • 56
    • 19944393836 scopus 로고    scopus 로고
    • Artificial neural network-based settlement prediction formula for shallow foundations on granular soils
    • AUGJBU
    • Shahin M.A. Jaksa M.B. Maier H.R. Artificial neural network-based settlement prediction formula for shallow foundations on granular soils. Australian geomechanics Journal 2002, 37(4):45-52. AUGJBU
    • (2002) Australian geomechanics Journal , vol.37 , Issue.4 , pp. 45-52
    • Shahin, M.A.1    Jaksa, M.B.2    Maier, H.R.3
  • 59
    • 0030426875 scopus 로고    scopus 로고
    • The local effect of intermittency on the inertial subrange energy spectrum of the atmospheric surface layer
    • BLMEBK, 0006-8314, 10.1007/BF00120074
    • Szilagyi J. Katul G.G. Parlange M.B. Albertson J.D. Cahill A.T. The local effect of intermittency on the inertial subrange energy spectrum of the atmospheric surface layer. Bound.-Lay. Meteorol. 1996, 79(1-2):35-50. BLMEBK, 0006-8314, 10.1007/BF00120074
    • (1996) Bound.-Lay. Meteorol. , vol.79 , Issue.1-2 , pp. 35-50
    • Szilagyi, J.1    Katul, G.G.2    Parlange, M.B.3    Albertson, J.D.4    Cahill, A.T.5
  • 61
    • 0000605266 scopus 로고
    • Definitive computations of sand discharge in rivers
    • JYCEAJ, 0044-796X
    • Toffaleti F.B. Definitive computations of sand discharge in rivers. J. Hydraul. Div. 1969, 95(1):1831-1842. JYCEAJ, 0044-796X
    • (1969) J. Hydraul. Div. , vol.95 , Issue.1 , pp. 1831-1842
    • Toffaleti, F.B.1
  • 62
    • 0033167344 scopus 로고    scopus 로고
    • Rainfall runoff modelling using artificial neural networks
    • JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(1999)4:3(232)
    • Tokar A.S. Johnson P.A. Rainfall runoff modelling using artificial neural networks. J. Hydrol. Eng. 1999, 4(3):232-239. JHYEFF, 1084-0699, 10.1061/(ASCE)1084-0699(1999)4:3(232)
    • (1999) J. Hydrol. Eng. , vol.4 , Issue.3 , pp. 232-239
    • Tokar, A.S.1    Johnson, P.A.2
  • 63
    • 0006501504 scopus 로고
    • Principles of sediment transport in rivers
    • Aqua Publications, Amsterdam, Netherlands.
    • Van Rijn L.C. Principles of sediment transport in rivers. Estuaries and coastal areas 1993, Aqua Publications, Amsterdam, Netherlands.
    • (1993) Estuaries and coastal areas
    • Van Rijn, L.C.1
  • 64
    • 0034874799 scopus 로고    scopus 로고
    • Factors controlling sediment yield from small intensively cultivated catchments in a temperate humid climate
    • GMPHAA, 0169-555X, 10.1016/S0169-555X(01)00040-X
    • Verstraeten G. Poesen J. Factors controlling sediment yield from small intensively cultivated catchments in temperate humid climate. Geomorphology 2001, 40(1-2):123-144. GMPHAA, 0169-555X, 10.1016/S0169-555X(01)00040-X
    • (2001) Geomorphology , vol.40 , Issue.1-2 , pp. 123-144
    • Verstraeten, G.1    Poesen, J.2
  • 65
    • 0017503171 scopus 로고
    • Assessing the accuracy of suspended sediment rating curves for a small basin
    • WRERAQ, 0043-1397, 10.1029/WR013i003p00531
    • Walling D.E. Assessing the accuracy of suspended sediment rating curves for small basin. Water Resour. Res. 1977, 13(3):531-538. WRERAQ, 0043-1397, 10.1029/WR013i003p00531
    • (1977) Water Resour. Res. , vol.13 , Issue.3 , pp. 531-538
    • Walling, D.E.1
  • 66
    • 0022187135 scopus 로고
    • The estimation of palaehydrodynamic processes from subtidal deposits using time series analysis methods
    • SEDIAT, 0037-0746, 10.1111/j.1365-3091.1985.tb00491.x
    • Yang C.-S. Nio S.-W. The estimation of palaehydrodynamic processes from subtidal deposits using time series analysis methods. Sedimentology 1985, 32(1):41-57. SEDIAT, 0037-0746, 10.1111/j.1365-3091.1985.tb00491.x
    • (1985) Sedimentology , vol.32 , Issue.1 , pp. 41-57
    • Yang, C.-S.1    Nio, S.-W.2
  • 68
    • 33847392509 scopus 로고    scopus 로고
    • Sediment rating parameters and their implications: Yangtze River, China
    • GMPHAA, 0169-555X, 10.1016/j.geomorph.2006.03.016
    • Yang G. Chen Z. Yu F. Wang Z. Zhao Y. Wang Z. Sediment rating parameters and their implications: Yangtze River, China. Geomorphology 2007, 85(3-4):166-175. GMPHAA, 0169-555X, 10.1016/j.geomorph.2006.03.016
    • (2007) Geomorphology , vol.85 , Issue.3-4 , pp. 166-175
    • Yang, G.1    Chen, Z.2    Yu, F.3    Wang, Z.4    Zhao, Y.5    Wang, Z.6
  • 69
    • 0037249892 scopus 로고    scopus 로고
    • A wavelet-based technique for discrimination between faults and magnetizing inrush currents in transformers
    • ITPDE5, 0885-8977, 10.1109/TPWRD.2002.803797
    • Youssef O.A. S. wavelet-based technique for discrimination between faults and magnetizing inrush currents in transformers. IEEE Trans. Power Delivery 2003, 18(1):170-176. ITPDE5, 0885-8977, 10.1109/TPWRD.2002.803797
    • (2003) IEEE Trans. Power Delivery , vol.18 , Issue.1 , pp. 170-176
    • Youssef, O.A.S.1
  • 70
    • 33846274953 scopus 로고    scopus 로고
    • Suspended sediment flux modeling with artificial neural network: An example of the Longchuanjiang River in the Upper Yangtze Catchment, China
    • GMPHAA, 0169-555X, 10.1016/j.geomorph.2006.07.010
    • Zhu Y.M. Lu X.X. Zhou Y. Suspended sediment flux modeling with artificial neural network: An example of the Longchuanjiang River in the Upper Yangtze Catchment, China. Geomorphology 2007, 84(1-2):111-125. GMPHAA, 0169-555X, 10.1016/j.geomorph.2006.07.010
    • (2007) Geomorphology , 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.