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Volumn 12, Issue 3, 2010, Pages 351-364

Improving flood forecasting in Bangladesh using an artificial neural network

Author keywords

Artificial neural networks; Flood forecasting; Hydrology; Model; Rainfall runoff

Indexed keywords


EID: 78149450797     PISSN: 14647141     EISSN: None     Source Type: Journal    
DOI: 10.2166/hydro.2009.085     Document Type: Article
Times cited : (27)

References (30)
  • 1
    • 34249794005 scopus 로고    scopus 로고
    • Timing error correction procedure applied to neural network rainfall- runoff modelling
    • Abrahart, R. J., Heppenstall, A. J. & See, L. M. 2007 Timing error correction procedure applied to neural network rainfall- runoff modelling. Hydrol. Sci. 52 (3), 414-431.
    • (2007) Hydrol. Sci. , vol.52 , Issue.3 , pp. 414-431
    • Abrahart, R.J.1    Heppenstall, A.J.2    See, L.M.3
  • 2
    • 0034174280 scopus 로고    scopus 로고
    • Artificial neural networks in hydrology. I. Preliminary concepts
    • ASCE Task Committee on Artificial Neural Networks in Hydrology
    • ASCE Task Committee on Artificial Neural Networks in Hydrology 2000a Artificial neural networks in hydrology. I. Preliminary concepts. J. Hydrol. Eng. 5 (2), 115-123.
    • (2000) J. Hydrol. Eng. , vol.5 , Issue.2 , pp. 115-123
  • 3
    • 0034174396 scopus 로고    scopus 로고
    • B artificial neural networks in hydrology. Ii. Hydrologic applications
    • ASCE Task Committee on Artificial Neural Networks in Hydrology
    • ASCE Task Committee on Artificial Neural Networks in Hydrology 2000b Artificial neural networks in hydrology. II. Hydrologic applications. J. Hydrol Eng. 5 (2), 124-137.
    • (2000) J. Hydrol Eng. , vol.5 , Issue.2 , pp. 124-137
  • 4
    • 0032961025 scopus 로고    scopus 로고
    • A river flood forecasting with a neural network model
    • Campolo, M., Andreussi, P. & Soldati, A. 1999 A river flood forecasting with a neural network model. Water Resour. Res. 35 (4), 1191-1197.
    • (1999) Water Resour. Res. , vol.35 , Issue.4 , pp. 1191-1197
    • Campolo, M.1    Andreussi, P.2    Soldati, A.3
  • 5
    • 0038240745 scopus 로고    scopus 로고
    • Artificial neural network approach to flood forecasting in the river arno
    • Campolo, M., Andreussi, P. & Soldati, A. 2003 Artificial neural network approach to flood forecasting in the River Arno. Hydrol. Sci. J. 48 (3), 381-398.
    • (2003) Hydrol. Sci. J. , vol.48 , Issue.3 , pp. 381-398
    • Campolo, M.1    Andreussi, P.2    Soldati, A.3
  • 6
    • 33748929857 scopus 로고    scopus 로고
    • Particle swarm optimization training algorithm for anns in stage prediction of shing mun river
    • Chau, K. W. 2006 Particle swarm optimization training algorithm for ANNs in stage prediction of Shing Mun River. J. Hydrol. 329 (3-4), 363-367.
    • (2006) J. Hydrol. , vol.329 , Issue.3-4 , pp. 363-367
    • Chau, K.W.1
  • 7
    • 27544472438 scopus 로고    scopus 로고
    • Comparison of several flood forecasting models in yangtze river
    • Chau, K. W., Wu, C. L. & Li, Y. S. 2005 Comparison of several flood forecasting models in Yangtze River. J. Hydrol. Eng. 10 (6), 485-491.
    • (2005) J. Hydrol. Eng. , vol.10 , Issue.6 , pp. 485-491
    • Chau, K.W.1    Wu, C.L.2    Li, Y.S.3
  • 8
    • 0035664597 scopus 로고    scopus 로고
    • Fuzzy iteration methodology for reservoir flood control operation
    • Cheng, C. T. & Chau, K. W. 2001 Fuzzy iteration methodology for reservoir flood control operation. J. AWRA 37 (5), 1381-1388.
    • (2001) J. AWRA , vol.37 , Issue.5 , pp. 1381-1388
    • Cheng, C.T.1    Chau, K.W.2
  • 9
    • 78149443013 scopus 로고    scopus 로고
    • Impact of 1998 flood on dhaka city and performance of flood control works
    • Bangladesh University of Engineering and Technology, Dhaka.
    • Chowdhury, J. U., Rahman, R., Bala, S. K. & Islam, A. S. 1998 Impact of 1998 flood on Dhaka City and performance of flood control works. In Institute of Flood Control and Drainage Research. Bangladesh University of Engineering and Technology, Dhaka.
    • (1998) Institute of Flood Control and Drainage Research
    • Chowdhury, J.U.1    Rahman, R.2    Bala, S.K.3    Islam, A.S.4
  • 10
    • 32044443415 scopus 로고    scopus 로고
    • Flood estimation at ungauged sites using artificial neural networks
    • Dawson, C., Abrahart, R., Shamseldin, A., Wilby, R. & See, L. 2005 Flood estimation at ungauged sites using artificial neural networks. J. Hydrol. 319 (1-4), 391-409.
    • (2005) J. Hydrol. , vol.319 , Issue.1-4 , pp. 391-409
    • Dawson, C.1    Abrahart, R.2    Shamseldin, A.3    Wilby, R.4    See, L.5
  • 12
    • 17444385970 scopus 로고    scopus 로고
    • A modified neural network for improving river flow prediction
    • Hu, T. S., Lam, K. C. & Thomas, N. G. S. 2005 A modified neural network for improving river flow prediction. J. Hydrol. Sci. 50 (2), 299-318.
    • (2005) J. Hydrol. Sci. , vol.50 , Issue.2 , pp. 299-318
    • Hu, T.S.1    Lam, K.C.2    Thomas, N.G.S.3
  • 13
    • 0034641121 scopus 로고    scopus 로고
    • River flow prediction using artificial neural networks: Generalization beyond the calibration range
    • Imrie, C. E., Durucan, S. & Korre, A. 2000 River flow prediction using artificial neural networks: generalization beyond the calibration range. J. Hydrol. 233, 138-153.
    • (2000) J. Hydrol. , vol.233 , pp. 138-153
    • Imrie, C.E.1    Durucan, S.2    Korre, A.3
  • 15
    • 78149421918 scopus 로고    scopus 로고
    • Institute of Water and Flood Management (IWFM), Bangladesh University of Engineering and Technology (BUET), Dhaka.
    • Islam, A. S., Haque, A. & Bala, S. K. 2008 Hydrological Aspects of Flood 2007. Institute of Water and Flood Management (IWFM), Bangladesh University of Engineering and Technology (BUET), Dhaka.
    • (2008) Hydrological Aspects of Flood 2007
    • Islam, A.S.1    Haque, A.2    Bala, S.K.3
  • 18
    • 0035370678 scopus 로고    scopus 로고
    • Quantitative flood forecasting using multisensor data and neural networks
    • Kim, G. S. & Borros, A. P. 2001 Quantitative flood forecasting using multisensor data and neural networks. J. Hydrol. 246, 45-62.
    • (2001) J. Hydrol. , vol.246 , pp. 45-62
    • Kim, G.S.1    Borros, A.P.2
  • 19
    • 33746830757 scopus 로고    scopus 로고
    • Using support vector machines for long-term discharge prediction
    • Lin, J. Y., Cheng, C. T. & Chau, K. W. 2006 Using support vector machines for long-term discharge prediction. Hydrol. Sci. J. 51 (4), 599-612.
    • (2006) Hydrol. Sci. J. , vol.51 , Issue.4 , pp. 599-612
    • Lin, J.Y.1    Cheng, C.T.2    Chau, K.W.3
  • 20
    • 0033692068 scopus 로고    scopus 로고
    • River stage forecasting in bangladesh: Neural network approach
    • Liong, S. Y., Lim, W. & Paudyal, G. N. 2000 River stage forecasting in Bangladesh: neural network approach. J. Comput. Civil Eng. 14 (1), 1-18.
    • (2000) J. Comput. Civil Eng. , vol.14 , Issue.1 , pp. 1-18
    • Liong, S.Y.1    Lim, W.2    Paudyal, G.N.3
  • 21
    • 51249194645 scopus 로고
    • A logic calculus of the ideas immanent in nervous activity
    • McCulloch, W. S. & Pitts, W. 1943 A logic calculus of the ideas immanent in nervous activity. Bull. Math. Biophys. 5, 115-133.
    • (1943) Bull. Math. Biophys. , vol.5 , pp. 115-133
    • McCulloch, W.S.1    Pitts, W.2
  • 24
    • 27644448548 scopus 로고    scopus 로고
    • Simulation of flood flow in a river system using artificial neural networks
    • Shrestha, R. R., Theobald, S. & Nestmann, F. 2005 Simulation of flood flow in a river system using artificial neural networks. Hydrol. Earth Syst. Sci. 9 (4), 313-321.
    • (2005) Hydrol. Earth Syst. Sci. , vol.9 , Issue.4 , pp. 313-321
    • Shrestha, R.R.1    Theobald, S.2    Nestmann, F.3
  • 25
    • 0029416249 scopus 로고
    • Neural-network models of rainfall runoff process
    • Smith, J. & Eli, R. N. 1995 Neural-network models of rainfall runoff process. J. Water Res. Plann. Manage. 121 (6), 499-508.
    • (1995) J. Water Res. Plann. Manage. , vol.121 , Issue.6 , pp. 499-508
    • Smith, J.1    Eli, R.N.2
  • 26
    • 0031898654 scopus 로고    scopus 로고
    • River stage forecasting using artificial neural networks
    • Thirumalaiah, K. & Deo, M. C. 1998 River stage forecasting using artificial neural networks. J. Hydrol. Eng. 3 (1), 26-31.
    • (1998) J. Hydrol. Eng. , vol.3 , Issue.1 , pp. 26-31
    • Thirumalaiah, K.1    Deo, M.C.2
  • 27
    • 0034174356 scopus 로고    scopus 로고
    • Hydrological forecasting using artificial neural networks
    • Thirumalaiah, K. & Deo, M. C. 2000 Hydrological forecasting using artificial neural networks. J. Hydrol. Eng. 5 (2), 180-189.
    • (2000) J. Hydrol. Eng. , vol.5 , Issue.2 , pp. 180-189
    • Thirumalaiah, K.1    Deo, M.C.2
  • 28
    • 0034174397 scopus 로고    scopus 로고
    • Precipitation-runoff modeling using artificial neural networks and conceptual models
    • Tokar, A. S. & Markus, M. 2000 Precipitation-runoff modeling using artificial neural networks and conceptual models. J. Hydrol. Eng. 5 (2), 156-161.
    • (2000) J. Hydrol. Eng. , vol.5 , Issue.2 , pp. 156-161
    • Tokar, A.S.1    Markus, M.2
  • 29
    • 17444408911 scopus 로고    scopus 로고
    • Updating real-time flood forecasting using a fuzzy rule-based model
    • Yu, P. & Chen, S. 2005 Updating real-time flood forecasting using a fuzzy rule-based model. Hydrol. Sci. 50 (2), 265-278.
    • (2005) Hydrol. Sci. , vol.50 , Issue.2 , pp. 265-278
    • Yu, P.1    Chen, S.2
  • 30
    • 0033019602 scopus 로고    scopus 로고
    • Short-term streamflow forecasting using artificial neural networks
    • Zealand, C. M., Burn, D. H. & Simonovic, S. P. 1999 Short-term streamflow forecasting using artificial neural networks. J. Hydrol. 214, 32-48.
    • (1999) J. Hydrol. , vol.214 , pp. 32-48
    • Zealand, C.M.1    Burn, D.H.2    Simonovic, S.P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.