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Volumn 74, Issue 17, 2011, Pages 2734-2744

Flood simulation using parallel genetic algorithm integrated wavelet neural networks

Author keywords

BP neural network; Flood simulation and prediction; Genetic algorithm; MPI; Wavelet function; Xinanjiang model

Indexed keywords

BP NEURAL NETWORKS; FLOOD SIMULATION; MPI; WAVELET FUNCTION; XINANJIANG MODEL;

EID: 80052953523     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.03.018     Document Type: Article
Times cited : (27)

References (33)
  • 2
    • 50449104790 scopus 로고    scopus 로고
    • A BTOP model to extend TOPMODEL for distributed hydrological simulation of large basins
    • Kuniyoshi, et al. A BTOP model to extend TOPMODEL for distributed hydrological simulation of large basins. Hydrol. Process 2008, 22:3236-3251.
    • (2008) Hydrol. Process , vol.22 , pp. 3236-3251
    • Kuniyoshi1
  • 3
    • 0018441920 scopus 로고
    • A physically based, variable contributing area model of hydrology
    • Beven K.J., Kirkby M.J. A physically based, variable contributing area model of hydrology. Hydrol. Sci. Bull. 1979, 24:43-69.
    • (1979) Hydrol. Sci. Bull. , vol.24 , pp. 43-69
    • Beven, K.J.1    Kirkby, M.J.2
  • 4
    • 0031182317 scopus 로고    scopus 로고
    • TOPMODEL: a critique
    • Beven K. TOPMODEL: a critique. Hydrol. Process 1997, 11:1069-1085.
    • (1997) Hydrol. Process , vol.11 , pp. 1069-1085
    • Beven, K.1
  • 5
    • 0014776873 scopus 로고
    • River flow forecasting through conceptual models, part 1. A discussion of principals
    • Nash J.E., Sutcliffe J.V. River flow forecasting through conceptual models, part 1. A discussion of principals. J. Hydrol. 1970, 10:282-290.
    • (1970) J. Hydrol. , vol.10 , pp. 282-290
    • Nash, J.E.1    Sutcliffe, J.V.2
  • 6
    • 80052952312 scopus 로고
    • A rainfall-runoff model using distributed data of radar and altitude, in: Proceedings of the JSCE No. 411/II-12
    • M. Lu, T. Koike, N. Hayakawa, A rainfall-runoff model using distributed data of radar and altitude, in: Proceedings of the JSCE No. 411/II-12, 1989, pp. 135-142.
    • (1989) , pp. 135-142
    • Lu, M.1    Koike, T.2    Hayakawa, N.3
  • 7
    • 0035881858 scopus 로고    scopus 로고
    • Development of WEP model and its application to an urban watershed
    • Jia Yangwen, et al. Development of WEP model and its application to an urban watershed. Hydrol. Process 2001, 15:2175-2194.
    • (2001) Hydrol. Process , vol.15 , pp. 2175-2194
    • Jia, Y.1
  • 8
    • 0031464027 scopus 로고    scopus 로고
    • Enhancing runoff modeling with GIS
    • Coroza Oliver, et al. Enhancing runoff modeling with GIS. Landsc. Urban Plann. 1997, 38:13-23.
    • (1997) Landsc. Urban Plann. , vol.38 , pp. 13-23
    • Coroza, O.1
  • 9
    • 0026895285 scopus 로고
    • The Xinanjiang model applied in China
    • Zhao R.J. The Xinanjiang model applied in China. J. Hydrol. 1992, 135:371-381.
    • (1992) J. Hydrol. , vol.135 , pp. 371-381
    • Zhao, R.J.1
  • 10
    • 65349127695 scopus 로고    scopus 로고
    • Predicting runoff in ungauged catchments by using Xinanjiang model with MODIS leaf area index
    • Hongxia Li, et al. Predicting runoff in ungauged catchments by using Xinanjiang model with MODIS leaf area index. J. Hydrol. 2009, 370:155-162.
    • (2009) J. Hydrol. , vol.370 , pp. 155-162
    • Li, H.1
  • 11
    • 0034737013 scopus 로고    scopus 로고
    • A modified spatial soil moisture storage capacity distribution curve for the Xinanjiang model
    • Jayawardena A.W. A modified spatial soil moisture storage capacity distribution curve for the Xinanjiang model. J. Hydrol. 2000, 227:93-113.
    • (2000) J. Hydrol. , vol.227 , pp. 93-113
    • Jayawardena, A.W.1
  • 12
    • 0026895285 scopus 로고
    • The Xinanjiang model applied in China
    • Zhao R.J. The Xinanjiang model applied in China. J. Hydrol. 1992, 135:371-382.
    • (1992) J. Hydrol. , vol.135 , pp. 371-382
    • Zhao, R.J.1
  • 13
    • 73649115980 scopus 로고    scopus 로고
    • Real-time forecast of the 2005 and 2007 summer severe floods in the Huaihe River Basin of China
    • Lin C.A., Wen L., et al. Real-time forecast of the 2005 and 2007 summer severe floods in the Huaihe River Basin of China. J. Hydrol. 2010, 381:33-41.
    • (2010) J. Hydrol. , vol.381 , pp. 33-41
    • Lin, C.A.1    Wen, L.2
  • 14
    • 33749515420 scopus 로고    scopus 로고
    • Atmospheric-hydrological modeling of severe precipitation and floods in the Huaihe River Basin, China
    • Lin C.A., Wen L., et al. Atmospheric-hydrological modeling of severe precipitation and floods in the Huaihe River Basin, China. J. Hydrol. 2006, 330:249-259.
    • (2006) J. Hydrol. , vol.330 , pp. 249-259
    • Lin, C.A.1    Wen, L.2
  • 16
    • 78049232745 scopus 로고    scopus 로고
    • The use of distributed hydrological models for the Gard 2002 flash flood event: analysis of associated hydrological processes
    • Braud I., Roux H., et al. The use of distributed hydrological models for the Gard 2002 flash flood event: analysis of associated hydrological processes. J. Hydrol. 2010, 394(1-2):162-181.
    • (2010) J. Hydrol. , vol.394 , Issue.1-2 , pp. 162-181
    • Braud, I.1    Roux, H.2
  • 17
    • 33645973241 scopus 로고    scopus 로고
    • Monthly runoff simulation: comparing and combining conceptual and neural network models
    • Nilsson P., Uvo C.B., et al. Monthly runoff simulation: comparing and combining conceptual and neural network models. J. Hydrol. 2006, 321:344-363.
    • (2006) J. Hydrol. , vol.321 , pp. 344-363
    • Nilsson, P.1    Uvo, C.B.2
  • 18
    • 72449178709 scopus 로고    scopus 로고
    • Division-based rainfall-runoff simulations with BP neural networks and Xinanjiang model
    • Ju Q., Yu Z., et al. Division-based rainfall-runoff simulations with BP neural networks and Xinanjiang model. Neurocomputing 2009, 72:2873-2883.
    • (2009) Neurocomputing , vol.72 , pp. 2873-2883
    • Ju, Q.1    Yu, Z.2
  • 19
    • 28344455955 scopus 로고    scopus 로고
    • An artificial neural network model for generating hydrograph from hydro-meteorological parameter
    • Ahmad S., Simonovic S.P. An artificial neural network model for generating hydrograph from hydro-meteorological parameter. J. Hydrol. 2005, 315:236-251.
    • (2005) J. Hydrol. , vol.315 , pp. 236-251
    • Ahmad, S.1    Simonovic, S.P.2
  • 20
    • 65749118118 scopus 로고    scopus 로고
    • Methods to improve neural network performance in daily flows prediction
    • Wu C.L., Chau K.W., et al. Methods to improve neural network performance in daily flows prediction. J. Hydrol. 2009, 372:80-93.
    • (2009) J. Hydrol. , vol.372 , pp. 80-93
    • Wu, C.L.1    Chau, K.W.2
  • 21
    • 60549091177 scopus 로고    scopus 로고
    • Evolutionary artificial neural networks for hydrological systems forecasting
    • Chen Y.h., Chang F.J. Evolutionary artificial neural networks for hydrological systems forecasting. J. Hydrol. 2009, 367:125-137.
    • (2009) J. Hydrol. , vol.367 , pp. 125-137
    • Chen, Y.H.1    Chang, F.J.2
  • 22
    • 0029323369 scopus 로고
    • Wavelet neural networks for function learning
    • Jun Z., Walter G.G., et al. Wavelet neural networks for function learning. Signal Process. 1995, 43:1485-1497.
    • (1995) Signal Process. , vol.43 , pp. 1485-1497
    • Jun, Z.1    Walter, G.G.2
  • 24
    • 34447102221 scopus 로고    scopus 로고
    • Multi-objective automatic calibration of SWAT using NSGA-II
    • Bekele E.G., Nicklow J.W. Multi-objective automatic calibration of SWAT using NSGA-II. J. Hydrol. 2007, 341:165-176.
    • (2007) J. Hydrol. , vol.341 , pp. 165-176
    • Bekele, E.G.1    Nicklow, J.W.2
  • 25
    • 0742306458 scopus 로고    scopus 로고
    • Meta learning evolutionary artificial neural networks
    • Abraham A. Meta learning evolutionary artificial neural networks. Neurocomputing 2004, 56:1-38.
    • (2004) Neurocomputing , vol.56 , pp. 1-38
    • Abraham, A.1
  • 26
    • 43649092022 scopus 로고    scopus 로고
    • Intelligent reservoir operation system based on evolving artificial neural networks
    • Chaves P., Chang F.J. Intelligent reservoir operation system based on evolving artificial neural networks. Adv. Water Resour. 2008, 31:926-936.
    • (2008) Adv. Water Resour. , vol.31 , pp. 926-936
    • Chaves, P.1    Chang, F.J.2
  • 27
    • 33746180571 scopus 로고    scopus 로고
    • Application of parallel computing to stochastic parameter estimation in environmental model
    • Vrugt Jasper A., et al. Application of parallel computing to stochastic parameter estimation in environmental model. Comput. Geosci. 2006, 32:1139-1155.
    • (2006) Comput. Geosci. , vol.32 , pp. 1139-1155
    • Vrugt, J.A.1
  • 28
    • 33646725682 scopus 로고    scopus 로고
    • A global sensitivity analysis tool for the parameters of multi-variable catchment models
    • Van Griensven A., Meixner T., et al. A global sensitivity analysis tool for the parameters of multi-variable catchment models. J. Hydrol. 2006, 324:10-23.
    • (2006) J. Hydrol. , vol.324 , pp. 10-23
    • Van Griensven, A.1    Meixner, T.2
  • 29
    • 0000991259 scopus 로고
    • Simulated binary crossover for continuous search space
    • Deb Kalyanmoy, Agarwal R.B. Simulated binary crossover for continuous search space. Complex Syst. 1995, 9:115-148.
    • (1995) Complex Syst. , vol.9 , pp. 115-148
    • Deb, K.1    Agarwal, R.B.2
  • 30
    • 80052931468 scopus 로고    scopus 로고
    • Survey on multiobjective evolutionary and real coded genetic algorithms, in: Proceedings of the 8th Asia Pacific Symposium on Intelligent and Evolutionary Systems
    • M.M. Raghuwanshi, O.G. Kakde. Survey on multiobjective evolutionary and real coded genetic algorithms, in: Proceedings of the 8th Asia Pacific Symposium on Intelligent and Evolutionary Systems, 2004, pp. 150-161.
    • (2004) , pp. 150-161
    • Raghuwanshi, M.M.1    Kakde, O.G.2
  • 31
    • 0022266305 scopus 로고
    • Resolving Thiessen polygons
    • Croley T.E., Hartmann H.C. Resolving Thiessen polygons. J. Hydrol. 1985, 76:363-379.
    • (1985) J. Hydrol. , vol.76 , pp. 363-379
    • Croley, T.E.1    Hartmann, H.C.2
  • 32
    • 33750726412 scopus 로고    scopus 로고
    • Simplified versions for the Penman evaporation equation using routine weather data
    • Valiantzas J.D. Simplified versions for the Penman evaporation equation using routine weather data. J. Hydrol. 2006, 331:690-702.
    • (2006) J. Hydrol. , vol.331 , pp. 690-702
    • Valiantzas, J.D.1
  • 33
    • 0014776873 scopus 로고
    • River flow forecasting through conceptual models, I. A discussion of principles
    • Nash J.E., Sutcliffe J.V. River flow forecasting through conceptual models, I. A discussion of principles. J. Hydrol. 1970, 10:282-290.
    • (1970) J. Hydrol. , vol.10 , pp. 282-290
    • Nash, J.E.1    Sutcliffe, J.V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.