메뉴 건너뛰기




Volumn 37, Issue 7, 2009, Pages 555-564

Modeling monthly mean flow in a poorly gauged basin by fuzzy logic

Author keywords

Flow modeling; Fuzzy logic; Fuzzy modeling; Monthly mean flow; Poorly gauged basin

Indexed keywords

BASIN ANALYSIS; CONTOUR MAP; ESTIMATION METHOD; FLOW MODELING; FUZZY MATHEMATICS; MOUNTAIN REGION; PRECIPITATION ASSESSMENT; RAINFALL; RAINGAUGE;

EID: 69449095330     PISSN: 18630650     EISSN: None     Source Type: Journal    
DOI: 10.1002/clen.200800152     Document Type: Article
Times cited : (26)

References (28)
  • 1
    • 0029412324 scopus 로고
    • Monthly water balance of ungauged catchments obtained by geographical regionalization
    • G. L. Vandewiele, A. Elias, Monthly Water Balance of Ungauged Catchments Obtained by Geographical Regionalization, J. Hydrol. 1995, 170, 277-291.
    • (1995) J. Hydrol. , vol.170 , pp. 277-291
    • Vandewiele, G.L.1    Elias, A.2
  • 2
    • 21344462096 scopus 로고    scopus 로고
    • Modeling of rainfall, flow and mass transport in hydrological systems: An overview
    • P. E. Connell, E. Todini, Modeling of Rainfall, Flow and Mass Transport in Hydrological Systems: An Overview, J. Hydrol. 1996, 175 (1-4), 3-16.
    • (1996) J. Hydrol. , vol.175 , Issue.1-2 , pp. 3-16
    • Connell, P.E.1    Todini, E.2
  • 3
    • 0032813826 scopus 로고    scopus 로고
    • Regional regression models of annual stream flow for the united states
    • R. M. Vogel, I. Wilson, C. Daly, Regional Regression Models of Annual Stream flow for the United States, J. Irrigat. Drain. Eng. 1999, 125 (3), 148-157.
    • (1999) J. Irrigat. Drain. Eng. , vol.125 , Issue.3 , pp. 148-157
    • Vogel, R.M.1    Wilson, I.2    Daly, C.3
  • 4
    • 0035396668 scopus 로고    scopus 로고
    • Regional flow-duration models for large number of ungauged himalayan catchments for planning microhydro projects
    • R. D. Singh, S. K. Mishra, H. Chowdhary, Regional Flow-duration Models for Large Number of Ungauged Himalayan Catchments for Planning Microhydro Projects, J. Hydrolog. Eng. 2001, 6 (4), 310-316.
    • (2001) J. Hydrolog. Eng. , vol.6 , Issue.4 , pp. 310-316
    • Singh, R.D.1    Mishra, S.K.2    Chowdhary, H.3
  • 5
    • 31444435954 scopus 로고    scopus 로고
    • Methods for developing naturalized monthly flows at gauged and ungauged sites
    • R. A. Wurbs, Methods for Developing Naturalized Monthly Flows at Gauged and Ungauged Sites, J. Hydrolog. Eng. 2006, 11 (1), 55-64.
    • (2006) J. Hydrolog. Eng. , vol.11 , Issue.1 , pp. 55-64
    • Wurbs, R.A.1
  • 6
    • 34247615065 scopus 로고    scopus 로고
    • Regional models for the estimation of stream flow series in ungauged basins
    • P. Cutore et al., Regional Models for the Estimation of Stream flow Series in Ungauged Basins, Water Resour. Manage. 2007, 21 (5), 789-800.
    • (2007) Water Resour. Manage. , vol.21 , Issue.5 , pp. 789-800
    • Cutore, P.1
  • 7
    • 0032123339 scopus 로고    scopus 로고
    • Runoff forecasting using rbf networks with ols algorithm
    • D. A. K. Fernando, A. W. Jayavordem, Runoff Forecasting Using RBF Networks with OLS Algorithm, J. Hydraul. Eng. 1998, 3 (3), 203-209.
    • (1998) J. Hydraul. Eng. , vol.3 , Issue.3 , pp. 203-209
    • Fernando, D.A.K.1    Jayavordem, A.W.2
  • 8
    • 11144345954 scopus 로고    scopus 로고
    • An exploration of artificial neural network rainfall-runoff forecasting combined with wavelet decomposition
    • F. Anctil, D. G. Tape, An Exploration of Artificial Neural Network Rainfall-runoff Forecasting Combined with Wavelet Decomposition, J. Environ. Eng. Sci. 2004, 3 (1), 121-128.
    • (2004) J. Environ. Eng. Sci. , vol.3 , Issue.1 , pp. 121-128
    • Anctil, F.1    Tape, D.G.2
  • 9
    • 12544253180 scopus 로고    scopus 로고
    • Flow prediction by three back propagation techniques using k-fold partitioning of neural network training data
    • H. K. Cigizoglu, O. Kisi, Flow Prediction by Three Back Propagation Techniques Using K-fold Partitioning of Neural Network Training Data, Nord. Hydrol. 2005, 36(1), 49-64.
    • (2005) Nord. Hydrol. , vol.36 , Issue.1 , pp. 49-64
    • Cigizoglu, H.K.1    Kisi, O.2
  • 10
    • 23044443211 scopus 로고    scopus 로고
    • Application of the generalized regression neural networks to intermittent flow forecasting and estimation
    • H. K. Cigizoglu, Application of the Generalized Regression Neural Networks to Intermittent Flow Forecasting and Estimation, J. Hydrolog. Eng. 2005, 10 (4), 336-341.
    • (2005) J. Hydrolog. Eng. , vol.10 , Issue.4 , pp. 336-341
    • Cigizoglu, H.K.1
  • 11
    • 1642497522 scopus 로고    scopus 로고
    • River flow modeling using artificial neural networks
    • O. Kisi, River Flow Modeling using Artificial Neural Networks, J. Hydrol. Eng. 2004, 9 (1), 60-63.
    • (2004) J. Hydrol. Eng. , vol.9 , Issue.1 , pp. 60-63
    • Kisi, O.1
  • 12
    • 41949142664 scopus 로고    scopus 로고
    • River flow forecasting and estimation using different artificial neural network techniques
    • O. Kisi, River Flow Forecasting and Estimation using Different Artificial Neural Network Techniques, Hydrol. Res. 2008, 39 (1), 27-40.
    • (2008) Hydrol. Res. , vol.39 , Issue.1 , pp. 27-40
    • Kisi, O.1
  • 13
    • 33748316537 scopus 로고    scopus 로고
    • Development of rainfall-runoff models using takagi-sugeno fuzzy inference systems
    • A. P. Jacquin, A. Y. Shamseldin, Development of Rainfall-runoff Models Using Takagi-Sugeno Fuzzy Inference Systems, J. Hydrol. 2006, 329 (1-2), 154-173.
    • (2006) J. Hydrol. , vol.329 , Issue.1-2 , pp. 154-173
    • Jacquin, A.P.1    Shamseldin, A.Y.2
  • 14
    • 34249807919 scopus 로고    scopus 로고
    • Fuzzy logic-based rainfall-runoff modeling using soil moisture measurements to represent system state
    • M. Casper et al., Fuzzy Logic-based Rainfall-runoff Modeling Using Soil Moisture Measurements to Represent System State, Hydrolog. Sci. J. 2007, 52 (3), 478-490.
    • (2007) Hydrolog. Sci. J. , vol.52 , Issue.3 , pp. 478-490
    • Casper, M.1
  • 15
    • 34848908346 scopus 로고    scopus 로고
    • Application of fuzzy logic to the evaluation of runoff in a tropical watershed
    • A. A. Barreto-Neto, C. R. Souza Filho, Application of Fuzzy Logic to the Evaluation of Runoff in A Tropical Watershed, Environ. Model. Software 2008, 23, 244-253.
    • (2008) Environ. Model. Software , vol.23 , pp. 244-253
    • Barreto-Neto, A.A.1    Filho, C.R.S.2
  • 16
    • 14844352523 scopus 로고    scopus 로고
    • Fuzzy computing based rainfall-runoff model for real time flood forecasting
    • P. C. Nayak, K. P. Sudheer, K. S. Ramasastri, Fuzzy Computing Based Rainfall-runoff Model for Real Time Flood Forecasting, Hydrolog. Process. 2005, 19, 955-968.
    • (2005) Hydrolog. Process. , vol.19 , pp. 955-968
    • Nayak, P.C.1    Sudheer, K.P.2    Ramasastri, K.S.3
  • 18
    • 0003281967 scopus 로고
    • Towards a theory of fuzzy systems
    • (Eds: R. E. Kalman, N. DeClaris), Holt, Rinehart and Winston, New York
    • L. A. Zadeh, Towards A Theory of Fuzzy Systems, in Aspects of Network and Systems Theory (Eds: R. E. Kalman, N. DeClaris), Holt, Rinehart and Winston, New York 1971, pp. 469-490.
    • (1971) Aspects of Network and Systems Theory , pp. 469-490
    • Zadeh, L.A.1
  • 19
    • 38049071628 scopus 로고    scopus 로고
    • Longitudinal dispersion modeling in natural channels by fuzzy logic
    • Z. F. Toprak, M. E. Savci, Longitudinal Dispersion Modeling in Natural Channels by Fuzzy Logic, Clean: Soil, Air, Water 2007, 35 (6), 626-637.
    • (2007) Clean: Soil, Air, Water , vol.35 , Issue.6 , pp. 626-637
    • Toprak, Z.F.1    Savci, M.E.2
  • 21
    • 0017703889 scopus 로고
    • Applications of fuzzy logic to approximate reasoning using linguistic synthesis
    • E. H. Mamdani, Applications of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis, IEEE Trans. Comput. 1977, 26 (12), 1182-1191.
    • (1977) IEEE Trans. Comput. , vol.26 , Issue.12 , pp. 1182-1191
    • Mamdani, E.H.1
  • 24
    • 38149078119 scopus 로고    scopus 로고
    • A fuzzy logic-based model for noise control at industrial workplaces
    • I. Aluclu, A. Dalgic, Z. F. Toprak, A fuzzy Logic-based Model for Noise Control at Industrial Workplaces, Appl. Ergon. 2008, 39 (3) 368-378.
    • (2008) Appl. Ergon. , vol.39 , Issue.3 , pp. 368-378
    • Aluclu, I.1    Dalgic, A.2    Toprak, Z.F.3
  • 25
    • 61849175296 scopus 로고    scopus 로고
    • Predicting longitudinal dispersion coefficient in natural streams by artificial intelligence methods
    • Z. F. Toprak, H. K. Cigizoglu, Predicting Longitudinal Dispersion Coefficient in Natural Streams by Artificial Intelligence Methods, Hydrolog. Process. 2008, 22 (20), 4106-4129.
    • (2008) Hydrolog. Process. , vol.22 , Issue.20 , pp. 4106-4129
    • Toprak, Z.F.1    Cigizoglu, H.K.2
  • 26
    • 34249943593 scopus 로고    scopus 로고
    • River flow estimation using adaptive neuro fuzzy inference system
    • M. Firat, M. Gungor, River Flow Estimation Using Adaptive Neuro Fuzzy Inference System, Math. Comput. Simul. 2007, 75, 87-96.
    • (2007) Math. Comput. Simul. , vol.75 , pp. 87-96
    • Firat, M.1    Gungor, M.2
  • 27
    • 0346687459 scopus 로고    scopus 로고
    • Application of fuzzy logic to forecast seasonal runoff
    • C. Mahabir, F. E. Hicks, A. Robinson Fayek, Application of Fuzzy Logic to Forecast Seasonal Runoff, Hydrolog. Process. 2003, 17, 3749-3762.
    • (2003) Hydrolog. Process. , vol.17 , pp. 3749-3762
    • Mahabir, C.1    Hicks, F.E.2    Fayek, A.R.3
  • 28
    • 0942302048 scopus 로고    scopus 로고
    • Fuzzy awakening in rainfall-runoff modeling
    • Z. Sen, A. Altunkaynak, Fuzzy Awakening in Rainfall-runoff Modeling, Nord. Hydrol. 2003, 35 (1), 31-43.
    • (2003) Nord. Hydrol. , vol.35 , Issue.1 , pp. 31-43
    • Sen, Z.1    Altunkaynak, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.