메뉴 건너뛰기




Volumn 28, Issue 6, 2014, Pages 1733-1749

Effect of Utilization of Discrete Wavelet Components on Flood Forecasting Performance of Wavelet Based ANFIS Models

Author keywords

ANFIS; Discrete wavelet transform; Flood forecasting; Hydrological modeling; Kamla; Kosi

Indexed keywords

CATCHMENTS; DISCRETE WAVELET TRANSFORMS; FLOOD CONTROL; FORECASTING; RIVERS; TIME SERIES; WATER LEVELS; WAVELET ANALYSIS;

EID: 84897571647     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-014-0584-4     Document Type: Article
Times cited : (64)

References (52)
  • 1
    • 79955799657 scopus 로고    scopus 로고
    • Performance evaluation of ANN and ANFIS models for estimating garlic crop evapotranspiration
    • Abyaneh HZ, Moghaddamnia A, Varkeshi MB, Marofi S, Kisi O (2011) Performance evaluation of ANN and ANFIS models for estimating garlic crop evapotranspiration. J Irrig Drain Eng 137(5): 280-286.
    • (2011) J Irrig Drain Eng , vol.137 , Issue.5 , pp. 280-286
    • Abyaneh, H.Z.1    Moghaddamnia, A.2    Varkeshi, M.B.3    Marofi, S.4    Kisi, O.5
  • 2
    • 67650321039 scopus 로고    scopus 로고
    • River flow forecasting using wavelet and cross-wavelet transform models
    • Adamowski JF (2008) River flow forecasting using wavelet and cross-wavelet transform models. Hydrol Process 22: 4877-4891.
    • (2008) Hydrol Process , vol.22 , pp. 4877-4891
    • Adamowski, J.F.1
  • 3
    • 77955276087 scopus 로고    scopus 로고
    • Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds
    • Adamowski J, Sun K (2010) Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. J Hydrol 390: 85-91.
    • (2010) J Hydrol , vol.390 , pp. 85-91
    • Adamowski, J.1    Sun, K.2
  • 4
    • 0034745667 scopus 로고    scopus 로고
    • Wavelet transform analysis of open channel wake flows
    • Addison PS, Murray KB, Watson JN (2001) Wavelet transform analysis of open channel wake flows. J Eng Mech 127(1): 58-70.
    • (2001) J Eng Mech , vol.127 , Issue.1 , pp. 58-70
    • Addison, P.S.1    Murray, K.B.2    Watson, J.N.3
  • 5
    • 0002378584 scopus 로고    scopus 로고
    • Wavelet-based feature extraction and decomposition strategies for financial forecasting
    • Aussem A, Campbell J, Murtagh F (1998) Wavelet-based feature extraction and decomposition strategies for financial forecasting. J Comput Intel Financ 6(2): 5-12.
    • (1998) J Comput Intel Financ , vol.6 , Issue.2 , pp. 5-12
    • Aussem, A.1    Campbell, J.2    Murtagh, F.3
  • 6
    • 78650402541 scopus 로고    scopus 로고
    • Hybrid wavelet-PSO-ANFIS approach for short-term wind power forecasting in Portugal
    • Catalao JPS, Pousinho HMI, MendesV MF (2011) Hybrid wavelet-PSO-ANFIS approach for short-term wind power forecasting in Portugal. IEEE Trans Sustain Energ 2(1): 50-59.
    • (2011) IEEE Trans Sustain Energ , vol.2 , Issue.1 , pp. 50-59
    • Catalao, J.P.S.1    Pousinho, H.M.I.2    Mendes, V.M.F.3
  • 7
    • 18244416162 scopus 로고    scopus 로고
    • On-line estimation of unit hydrographs using the wavelet-based LMS algorithm
    • Chou CM, Wang RY (2002) On-line estimation of unit hydrographs using the wavelet-based LMS algorithm. Hydrol Sci J 47(5): 721-738.
    • (2002) Hydrol Sci J , vol.47 , Issue.5 , pp. 721-738
    • Chou, C.M.1    Wang, R.Y.2
  • 8
    • 2042453329 scopus 로고    scopus 로고
    • Wavelet analysis of variability in annual Canadian streamflows
    • W03105
    • Coulibaly P, Burn HD (2004) Wavelet analysis of variability in annual Canadian streamflows. Water Resour Res 40, W03105.
    • (2004) Water Resour Res , vol.40
    • Coulibaly, P.1    Burn, H.D.2
  • 9
    • 46449123911 scopus 로고    scopus 로고
    • Hydrological time-series modeling using an adaptive neuro-fuzzy inference system
    • Firat M, Güngör M (2008) Hydrological time-series modeling using an adaptive neuro-fuzzy inference system. Hydrol Process 22(13): 2122-2132.
    • (2008) Hydrol Process , vol.22 , Issue.13 , pp. 2122-2132
    • Firat, M.1    Güngör, M.2
  • 10
    • 84897577178 scopus 로고    scopus 로고
    • Flood Management Information System (FMIS)
    • Flood Management Information System (FMIS), Water Resources Department, Govt of Bihar (2012) http://fmis. bih. nic. in/RiverBasinMap. jpg.
    • (2012) Water Resources Department, Govt of Bihar
  • 12
    • 0035494446 scopus 로고    scopus 로고
    • Short-term water demand forecast modelling at iit Kanpur using artificial neural networks
    • Jain A, Varshney K, Joshi UC (2001) Short-term water demand forecast modelling at iit Kanpur using artificial neural networks. Water Resour Manage 15(1): 299-321.
    • (2001) Water Resour Manage , vol.15 , Issue.1 , pp. 299-321
    • Jain, A.1    Varshney, K.2    Joshi, U.C.3
  • 14
    • 84862640233 scopus 로고    scopus 로고
    • Wavelet analysis of precipitation variability in Northern California, USA
    • Kim S (2004) Wavelet analysis of precipitation variability in Northern California, USA. J Civil Eng KSCE 8: 471-477.
    • (2004) J Civil Eng KSCE , vol.8 , pp. 471-477
    • Kim, S.1
  • 15
    • 0344121593 scopus 로고    scopus 로고
    • Nonlinear model for drought forecasting based on a conjunction of wavelet transforms and neural networks
    • Kim TW, Valdes JB (2003) Nonlinear model for drought forecasting based on a conjunction of wavelet transforms and neural networks. J Hydrol Eng 8(6): 319-328.
    • (2003) J Hydrol Eng , vol.8 , Issue.6 , pp. 319-328
    • Kim, T.W.1    Valdes, J.B.2
  • 16
    • 78751591071 scopus 로고    scopus 로고
    • Wavelet regression model as an alternative to neural networks for river stage forecasting
    • Kisi O (2011) Wavelet regression model as an alternative to neural networks for river stage forecasting. Water Resour Manage 25: 579-600.
    • (2011) Water Resour Manage , vol.25 , pp. 579-600
    • Kisi, O.1
  • 17
    • 79951579061 scopus 로고    scopus 로고
    • A wavelet-support vector machine conjunction model for monthly streamflow forecasting
    • Kisi O, Cimen M (2011) A wavelet-support vector machine conjunction model for monthly streamflow forecasting. J Hydrol 399: 132-140.
    • (2011) J Hydrol , vol.399 , pp. 132-140
    • Kisi, O.1    Cimen, M.2
  • 18
    • 84865493473 scopus 로고    scopus 로고
    • Discussion on precipitation forecasting using wavelet-genetic programming and wavelet-neuro-fuzzy conjunction models
    • doi:10.1007/s 11269-012-0060-y3663-3665
    • Kisi O, Shiri J (2012) Discussion on precipitation forecasting using wavelet-genetic programming and wavelet-neuro-fuzzy conjunction models. Water Resour Manag. doi: 10. 1007/s 11269-012-0060-y3663-3665.
    • (2012) Water Resour Manag
    • Kisi, O.1    Shiri, J.2
  • 19
    • 33751581359 scopus 로고    scopus 로고
    • Wavelet regression techniques for streamflow predictions
    • Kucuk M, Agiralioglu N (2006) Wavelet regression techniques for streamflow predictions. J Appl Stat 33(9): 943-960.
    • (2006) J Appl Stat , vol.33 , Issue.9 , pp. 943-960
    • Kucuk, M.1    Agiralioglu, N.2
  • 20
    • 28444499418 scopus 로고    scopus 로고
    • Recent advances in wavelet analyses: part 1: a review of concepts
    • Labat D (2005) Recent advances in wavelet analyses: part 1: a review of concepts. J Hydrol 314(1-4): 275-288.
    • (2005) J Hydrol , vol.314 , Issue.1-4 , pp. 275-288
    • Labat, D.1
  • 21
    • 0034610444 scopus 로고    scopus 로고
    • A rainfall-runoff relation for karstic spring, part 2: continuous wavelet and discrete orthogonal multi resolution analyses
    • Labat D, Ababou RM (2000) A rainfall-runoff relation for karstic spring, part 2: continuous wavelet and discrete orthogonal multi resolution analyses. J Hydrol 238(3-4): 149-178.
    • (2000) J Hydrol , vol.238 , Issue.3-4 , pp. 149-178
    • Labat, D.1    Ababou, R.M.2
  • 22
    • 34547743385 scopus 로고    scopus 로고
    • Deriving stage-discharge-sediment concentration relationships using fuzzy logic
    • Lohani AK, Goel NK, Bhatia KK (2007) Deriving stage-discharge-sediment concentration relationships using fuzzy logic. Hydrol Sci J 52(4): 793-807.
    • (2007) Hydrol Sci J , vol.52 , Issue.4 , pp. 793-807
    • Lohani, A.K.1    Goel, N.K.2    Bhatia, K.K.3
  • 23
    • 24144451684 scopus 로고    scopus 로고
    • Decomposition of interdecadal and interannual components for North China rainfall in rainy season
    • Lu RY (2002) Decomposition of interdecadal and interannual components for North China rainfall in rainy season. Chin J Atmos (in Chinese) 26: 611-624.
    • (2002) Chin J Atmos (in Chinese) , vol.26 , pp. 611-624
    • Lu, R.Y.1
  • 24
    • 84862642100 scopus 로고    scopus 로고
    • Comparative study of different wavelets for hydrologic forecasting
    • doi:10.1016/j.cageo.2011.12.015
    • Maheswaran R, Khosa R (2012) Comparative study of different wavelets for hydrologic forecasting. Comp Geosci. doi: 10. 1016/j. cageo. 2011. 12. 015.
    • (2012) Comp Geosci
    • Maheswaran, R.1    Khosa, R.2
  • 25
    • 0024700097 scopus 로고
    • A theory for multi resolution signal decomposition: the wavelet representation
    • Mallat SG (1989) A theory for multi resolution signal decomposition: the wavelet representation. IEEE Trans Pattern Anal Mach Intell 11(7): 674-693.
    • (1989) IEEE Trans Pattern Anal Mach Intell , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.G.1
  • 26
    • 58549115672 scopus 로고    scopus 로고
    • Optimal operation of a multi-purpose reservoir using neuro-fuzzy technique
    • Mehta R, Jain SK (2009) Optimal operation of a multi-purpose reservoir using neuro-fuzzy technique. Water Resour Manage 23: 509-529.
    • (2009) Water Resour Manage , vol.23 , pp. 509-529
    • Mehta, R.1    Jain, S.K.2
  • 27
    • 57549095413 scopus 로고    scopus 로고
    • Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques
    • Moghaddamnia A, Gousheh MG, Piri J, Amin S, Han D (2009) Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques. Adv Water Resour 32: 88-97.
    • (2009) Adv Water Resour , vol.32 , pp. 88-97
    • Moghaddamnia, A.1    Gousheh, M.G.2    Piri, J.3    Amin, S.4    Han, D.5
  • 28
    • 84874285796 scopus 로고    scopus 로고
    • A wavelet-ANFIS hybrid model for groundwater level forecasting for different prediction periods
    • Moosavi V, Vafakhah M, Shirmohammadi B, Behnia N (2013) A wavelet-ANFIS hybrid model for groundwater level forecasting for different prediction periods. Water Resour Manag 27: 1301-1321.
    • (2013) Water Resour Manag , vol.27 , pp. 1301-1321
    • Moosavi, V.1    Vafakhah, M.2    Shirmohammadi, B.3    Behnia, N.4
  • 29
    • 66249107437 scopus 로고    scopus 로고
    • Flood forecasting using ANN, neuro-fuzzy, and neuro-GA models
    • Mukerji A, Chatterjee C, Raghuwanshi NS (2009) Flood forecasting using ANN, neuro-fuzzy, and neuro-GA models. J Hydrol Eng 14(6): 647-652.
    • (2009) J Hydrol Eng , vol.14 , Issue.6 , pp. 647-652
    • Mukerji, A.1    Chatterjee, C.2    Raghuwanshi, N.S.3
  • 30
    • 84865634266 scopus 로고    scopus 로고
    • Water quality prediction model utilizing integrated wavelet-ANFIS model with cross-validation
    • Najah AA, Shafie AE, Karim OA, Jaafar O (2010) Water quality prediction model utilizing integrated wavelet-ANFIS model with cross-validation. Neural Comput & Applic 21(5): 833-841.
    • (2010) Neural Comput & Applic , vol.21 , Issue.5 , pp. 833-841
    • Najah, A.A.1    Shafie, A.E.2    Karim, O.A.3    Jaafar, O.4
  • 32
    • 1942490118 scopus 로고    scopus 로고
    • A neuro-fuzzy computing technique for modeling hydrological time series
    • Nayak PC, Sudheer KP, Rangan DM, Ramasastri KS (2004b) A neuro-fuzzy computing technique for modeling hydrological time series. J Hydrol 291(1-2): 52-66.
    • (2004) J Hydrol , vol.291 , Issue.1-2 , pp. 52-66
    • Nayak, P.C.1    Sudheer, K.P.2    Rangan, D.M.3    Ramasastri, K.S.4
  • 33
    • 64049092449 scopus 로고    scopus 로고
    • Results uncertainty of solid waste generation forecasting by hybrid of wavelet transform-ANFIS and wavelet transform-neural network
    • Noori R, Abdoli MA, Farokhnia A, Abbasi M (2009) Results uncertainty of solid waste generation forecasting by hybrid of wavelet transform-ANFIS and wavelet transform-neural network. Expert Syst Appl 36(6): 9991-9999.
    • (2009) Expert Syst Appl , vol.36 , Issue.6 , pp. 9991-9999
    • Noori, R.1    Abdoli, M.A.2    Farokhnia, A.3    Abbasi, M.4
  • 34
    • 70350337875 scopus 로고    scopus 로고
    • A multivariate ANN-wavelet approach for rainfall-runoff modeling
    • Nourani V, Komasi M, Mano A (2009) A multivariate ANN-wavelet approach for rainfall-runoff modeling. Wat Resour Manage 23(14): 2877-2894.
    • (2009) Wat Resour Manage , vol.23 , Issue.14 , pp. 2877-2894
    • Nourani, V.1    Komasi, M.2    Mano, A.3
  • 35
    • 34249288002 scopus 로고    scopus 로고
    • A neural-fuzzy approach to classify the ecological status in surface waters
    • Ocampo-Duque W, Schuhmacher M, Domingo JL (2007) A neural-fuzzy approach to classify the ecological status in surface waters. Environ Pollut 148(2): 634-641.
    • (2007) Environ Pollut , vol.148 , Issue.2 , pp. 634-641
    • Ocampo-Duque, W.1    Schuhmacher, M.2    Domingo, J.L.3
  • 36
    • 34447527322 scopus 로고    scopus 로고
    • Wavelet and neuro-fuzzy conjunction model for precipitation forecasting
    • Partal T, Kisi O (2007) Wavelet and neuro-fuzzy conjunction model for precipitation forecasting. J Hydrol 342(1-2): 199-212.
    • (2007) J Hydrol , vol.342 , Issue.1-2 , pp. 199-212
    • Partal, T.1    Kisi, O.2
  • 37
    • 69949143939 scopus 로고    scopus 로고
    • Application of neural network and adaptive neuro-fuzzy inference systems for river flow prediction
    • Pramanik N, Panda RK (2009) Application of neural network and adaptive neuro-fuzzy inference systems for river flow prediction. Hydrol Sci J 54(2): 247-260.
    • (2009) Hydrol Sci J , vol.54 , Issue.2 , pp. 247-260
    • Pramanik, N.1    Panda, R.K.2
  • 38
    • 73249147931 scopus 로고    scopus 로고
    • Prediction of daily suspended sediment load using wavelet and neuro-fuzzy combined model
    • Rajaee T, Mirbagheri SA, Nourani V, Alikhani A (2010) Prediction of daily suspended sediment load using wavelet and neuro-fuzzy combined model. Int J Environ Sci Tech 7(1): 93-110.
    • (2010) Int J Environ Sci Tech , vol.7 , Issue.1 , pp. 93-110
    • Rajaee, T.1    Mirbagheri, S.A.2    Nourani, V.3    Alikhani, A.4
  • 39
    • 84878148042 scopus 로고    scopus 로고
    • Wavelet regression models for predicting flood stages in rivers: a case study in Eastern India
    • Sahay RR, Sehgal V (2013) Wavelet regression models for predicting flood stages in rivers: a case study in Eastern India. J Flood Risk Manag 6: 146-155.
    • (2013) J Flood Risk Manag , vol.6 , pp. 146-155
    • Sahay, R.R.1    Sehgal, V.2
  • 40
    • 84892477888 scopus 로고    scopus 로고
    • Predicting monsoon floods in rivers embedding wavelet transform, genetic algorithm and neural network
    • Sahay RR, Srivastava A (2014) Predicting monsoon floods in rivers embedding wavelet transform, genetic algorithm and neural network. Water Resour Manage 28: 301-317.
    • (2014) Water Resour Manage , vol.28 , pp. 301-317
    • Sahay, R.R.1    Srivastava, A.2
  • 41
    • 0032003006 scopus 로고    scopus 로고
    • Stream flow characterization and feature detection using a discrete wavelet transform
    • Smith LC, Turcotte DL, Isacks B (1998) Stream flow characterization and feature detection using a discrete wavelet transform. Hydrol Process 12: 233-249.
    • (1998) Hydrol Process , vol.12 , pp. 233-249
    • Smith, L.C.1    Turcotte, D.L.2    Isacks, B.3
  • 42
    • 84885070735 scopus 로고    scopus 로고
    • Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models
    • Tiwari MK, Adamowski J (2013) Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models. Water Resour Res 49: 6486-6507.
    • (2013) Water Resour Res , vol.49 , pp. 6486-6507
    • Tiwari, M.K.1    Adamowski, J.2
  • 43
    • 78751667345 scopus 로고    scopus 로고
    • Daily discharge forecasting using WANNs coupled with nonlinear bias correction techniques
    • Tiwari MK, Chatterjee C (2009) Daily discharge forecasting using WANNs coupled with nonlinear bias correction techniques. IAHS-AISH Publ 331: 98-108.
    • (2009) IAHS-AISH Publ , vol.331 , pp. 98-108
    • Tiwari, M.K.1    Chatterjee, C.2
  • 44
    • 78149408167 scopus 로고    scopus 로고
    • Development of an accurate and reliable hourly flood forecasting model using wavelet-bootstrap-ANN (WBANN) hybrid approach
    • Tiwari MK, Chatterjee C (2010a) Development of an accurate and reliable hourly flood forecasting model using wavelet-bootstrap-ANN (WBANN) hybrid approach. J Hydrol 394: 458-470.
    • (2010) J Hydrol , vol.394 , pp. 458-470
    • Tiwari, M.K.1    Chatterjee, C.2
  • 45
    • 75149131606 scopus 로고    scopus 로고
    • Uncertainty assessment and ensemble flood forecasting using bootstrap based artificial neural networks (BANNs)
    • Tiwari MK, Chatterjee C (2010b) Uncertainty assessment and ensemble flood forecasting using bootstrap based artificial neural networks (BANNs). J Hydrol 382: 20-33.
    • (2010) J Hydrol , vol.382 , pp. 20-33
    • Tiwari, M.K.1    Chatterjee, C.2
  • 46
    • 79959790257 scopus 로고    scopus 로고
    • A new wavelet-bootstrap-ANN hybrid model for daily discharge forecasting
    • Tiwari MK, Chatterjee C (2011) A new wavelet-bootstrap-ANN hybrid model for daily discharge forecasting. J Hydroinf 13: 500-519.
    • (2011) J Hydroinf , vol.13 , pp. 500-519
    • Tiwari, M.K.1    Chatterjee, C.2
  • 47
    • 84860871281 scopus 로고    scopus 로고
    • River-flow forecasting using higher-order neural networks
    • Tiwari MK, Song KY, Chatterjee C, Gupta MM (2012) River-flow forecasting using higher-order neural networks. J Hydrol Eng 17(5): 655-666.
    • (2012) J Hydrol Eng , vol.17 , Issue.5 , pp. 655-666
    • Tiwari, M.K.1    Song, K.Y.2    Chatterjee, C.3    Gupta, M.M.4
  • 48
    • 84876400204 scopus 로고    scopus 로고
    • Improving reliability of river flow forecasting using neural networks, wavelets and self-organizing maps
    • Tiwari MK, Song KY, Chatterjee C, Gupta MM (2013) Improving reliability of river flow forecasting using neural networks, wavelets and self-organizing maps. J Hydroinf 15(2): 486-502.
    • (2013) J Hydroinf , vol.15 , Issue.2 , pp. 486-502
    • Tiwari, M.K.1    Song, K.Y.2    Chatterjee, C.3    Gupta, M.M.4
  • 49
    • 33845543385 scopus 로고    scopus 로고
    • Wavelet network model and its application to the prediction of the hydrology
    • Wang W, Ding J (2003) Wavelet network model and its application to the prediction of the hydrology. Nature and Sci 1: 67-71.
    • (2003) Nature and Sci , vol.1 , pp. 67-71
    • Wang, W.1    Ding, J.2
  • 50
    • 19544366488 scopus 로고    scopus 로고
    • Multiscale characteristics of the rainy season rainfall and interdecadal decaying of summer monsoon in North China
    • Xingang D, Ping W, Jifan C (2003) Multiscale characteristics of the rainy season rainfall and interdecadal decaying of summer monsoon in North China. Chin Sci Bull 48: 2730-2734.
    • (2003) Chin Sci Bull , vol.48 , pp. 2730-2734
    • Xingang, D.1    Ping, W.2    Jifan, C.3
  • 51
    • 38149027113 scopus 로고    scopus 로고
    • The research of monthly discharge predictor-corrector model based on wavelet decomposition
    • Zhou HC, Peng Y, Liang GH (2008) The research of monthly discharge predictor-corrector model based on wavelet decomposition. Water Resour Manage 22(2): 217-227.
    • (2008) Water Resour Manage , vol.22 , Issue.2 , pp. 217-227
    • Zhou, H.C.1    Peng, Y.2    Liang, G.H.3
  • 52
    • 37249083060 scopus 로고    scopus 로고
    • Using adaptive neuro-fuzzy inference system for hydrological time series prediction
    • Zounemat-Kermani M, Teshnehlab M (2008) Using adaptive neuro-fuzzy inference system for hydrological time series prediction. Appl Soft Comput 8(2): 928-936.
    • (2008) Appl Soft Comput , vol.8 , Issue.2 , pp. 928-936
    • Zounemat-Kermani, M.1    Teshnehlab, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.