메뉴 건너뛰기




Volumn 13, Issue 3, 2011, Pages 390-400

Water quality comprehensive evaluation method for large water distribution network based on clustering analysis

Author keywords

Clustering analysis; Fuzzy c mean; K means; Self organizing map; Water distribution network; Water quality evaluation

Indexed keywords


EID: 79959800688     PISSN: 14647141     EISSN: None     Source Type: Journal    
DOI: 10.2166/hydro.2011.021     Document Type: Article
Times cited : (31)

References (22)
  • 2
    • 35348937036 scopus 로고    scopus 로고
    • Data mining and multivariate statistical analysis to ecological system in coastal waters
    • Chau, K. W. & Muttil, N. 2007 Data mining and multivariate statistical analysis to ecological system in coastal waters. J. Hydroinf. 9(4), 305-317.
    • (2007) J. Hydroinf , vol.9 , Issue.4 , pp. 305-317
    • Chau, K.W.1    Muttil, N.2
  • 3
    • 0036845179 scopus 로고    scopus 로고
    • Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall-runoff model calibration
    • DOI 10.1016/S0022-1694(02)00122-1, PII S0022169402001221
    • Cheng, C. T., Ou, C. P. & Chau, K. W. 2002 Combining a fuzzy optimal model with a genetic algorithm to solve multiobjective rainfallrunoff model calibration. J. Hydrol. 268(1-4), 72-86. (Pubitemid 35307223)
    • (2002) Journal of Hydrology , vol.268 , Issue.1-4 , pp. 72-86
    • Cheng, C.T.1    Ou, C.P.2    Chau, K.W.3
  • 4
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • Dunn, J. C. 1974 A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. J. Cybernet. 3(3), 32-57.
    • (1974) J. Cybernet , vol.3 , Issue.3 , pp. 32-57
    • Dunn, J.C.1
  • 5
    • 0000489421 scopus 로고
    • An index-number system for rating water quality
    • Horton, R. K. 1965 An index-number system for rating water quality. J. Water Pollution Control Fed. 37(3), 300-306.
    • (1965) J. Water Pollution Control Fed , vol.37 , Issue.3 , pp. 300-306
    • Horton, R.K.1
  • 6
    • 0034187784 scopus 로고    scopus 로고
    • Clustering of the self-organizing map
    • Juha, V. & Esa, A. 2000 Clustering of the self-organizing map. IEEE Trans. Neural Netw. 11(3), 586-600.
    • (2000) IEEE Trans. Neural Netw , vol.11 , Issue.3 , pp. 586-600
    • Juha, V.1    Esa, A.2
  • 7
    • 0010985453 scopus 로고    scopus 로고
    • Self-organizing map in MATLAB: The SOM toolbox
    • Finland
    • Juha, V., Johan H. & Esa, A. 1999 Self-organizing map in MATLAB: the SOM toolbox. Proc. MATLAB DSP Conf. (Finland).
    • (1999) Proc. MATLAB DSP Conf
    • Juha, V.1    Johan, H.2    Esa, A.3
  • 8
    • 0006145981 scopus 로고
    • Automatic formation of topological maps of patterns in a self-organizing system
    • Helsinki, Finland
    • Kohonen, T. 1981 Automatic formation of topological maps of patterns in a self-organizing system. In: Proc. 2SCIA, Scand. Conf. on Image Aanlysis, pp. 214-220, Helsinki, Finland.
    • (1981) Proc. 2SCIA, Scand. Conf. on Image Aanlysis , pp. 214-220
    • Kohonen, T.1
  • 9
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • DOI 10.1007/BF00337288
    • Kohonen, T. 1982 Self-organized formation of topologically correct feature maps. Biol. Cybernet. 43, 59-69. (Pubitemid 12139984)
    • (1982) Biological Cybernetics , vol.43 , Issue.1 , pp. 59-69
    • Kohonen, T.1
  • 13
    • 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
  • 14
    • 77951554647 scopus 로고    scopus 로고
    • Application of hydroinformatic tools for water quality modeling and management: Case study of Vientiane, Lao P. D. R
    • Mark, O., Lacoursière, J. O., Vought, L. B.-M., Amena, Z. & Babel, M. S. 2010 Application of hydroinformatic tools for water quality modeling and management: case study of Vientiane, Lao P. D. R. J. Hydroinf. 12(2), 161-171.
    • (2010) J. Hydroinf , vol.12 , Issue.2 , pp. 161-171
    • Mark, O.1    Lacoursière, J.O.2    Vought, L.B.-M.3    Amena, Z.4    Babel, M.S.5
  • 15
    • 33845384467 scopus 로고    scopus 로고
    • Neural network and genetic programming for modelling coastal algal blooms
    • DOI 10.1504/IJEP.2006.011208
    • Muttil, N. & Chau, K. W. 2006 Neural network and genetic programming for modelling coastal algal blooms. Int. J. Environ. Pollut. 28(3-4), 223-238. (Pubitemid 44905987)
    • (2006) International Journal of Environment and Pollution , vol.28 , Issue.3-4 , pp. 223-238
    • Muttil, N.1    Chau, K.-W.2
  • 16
    • 49849106661 scopus 로고    scopus 로고
    • An ANN application for water quality forecasting
    • Palani, S., Liong, S. & Tkalich, P. 2008 An ANN application for water quality forecasting. Marine Pollution Bulletin 56, 1586-1597.
    • (2008) Marine Pollution Bulletin , vol.56 , pp. 1586-1597
    • Palani, S.1    Liong, S.2    Tkalich, P.3
  • 18
    • 39449097921 scopus 로고    scopus 로고
    • Use of principal component analysis, factor analysis and discriminant analysis to evaluate spatial and temporal variations in water quality of the Mekong River
    • Sadiq, R. & Rodriguez, M. 2004a Use of principal component analysis, factor analysis and discriminant analysis to evaluate spatial and temporal variations in water quality of the Mekong River. J. Hydroinf. 10(1), 43-56.
    • (2004) J. Hydroinf , vol.10 , Issue.1 , pp. 43-56
    • Sadiq, R.1    Rodriguez, M.2
  • 19
    • 1642462145 scopus 로고    scopus 로고
    • Disinfection by-products (DBPs) in drinking water and predictive models for their occurrence: A review
    • DOI 10.1016/j.scitotenv.2003.05.001, PII S0048969703005138
    • Sadiq, R. & Rodriguez, M. 2004b Disinfection by-products (DBPs) in drinking water and the predictive models for their occurrence: a review. Sci. Total Environ. 321(1-3), 21-46. (Pubitemid 38407245)
    • (2004) Science of the Total Environment , vol.321 , Issue.1-3 , pp. 21-46
    • Sadiq, R.1    Rodriguez, M.J.2
  • 21
    • 68349105875 scopus 로고    scopus 로고
    • A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
    • Wang, W. C., Chau, K. W., Cheng, C. T. & Qiu, L. 2009 A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series. J. Hydrol. 374(3-4), 294-306.
    • (2009) J. Hydrol , vol.374 , Issue.3-4 , pp. 294-306
    • Wang, W.C.1    Chau, K.W.2    Cheng, C.T.3    Qiu, L.4
  • 22
    • 70349777454 scopus 로고    scopus 로고
    • Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques
    • doi: 10.1029/2007WR006737
    • Wu, C. L., Chau, K. W. & Li, Y. S. 2009 Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques. Water Resour. Res. 45, W08432, doi: 10.1029/2007WR006737.
    • (2009) Water Resour. Res , vol.45
    • Wu, C.L.1    Chau, K.W.2    Li, Y.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.