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Information Journal Paper

Title

REGIONAL FLOOD FREQUENCY ANALYSIS BY SELF-ORGANIZING FEATURE MAPS AND FUZZY CLUSTERING APPROACH

Pages

  24-36

Abstract

 One of the methods for estimation of flood quantiles in ungauged watersheds or watersheds with short data records is using the regional frequency analysis method. In regional studies, the clustering methods are used to achieve homogeneous regions. Self-Organization Feature Map (SOFM) is recently used in several researches for clustering the watersheds. However the interpretation of the SOFMs output units is one of the SOFMs problems. Consequently, the trained SOFM units are used as input to the other clustering algorithms. In this study, SOFM method is used to form a two- dimension feature map, and then output nodes are fed to fuzzy c-mean clustering to form the required regions for flood frequency analysis. The optimum number of the clusters is determined by Xie-Beni and Kwon indices. The results showed that this approach has a good performance to determine homogeneous regions in MAZANDARAN PROVINCE, northern Iran.

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    APA: Copy

    FARSADNIA, F., & MOGHADDAMNIA, A.. (2014). REGIONAL FLOOD FREQUENCY ANALYSIS BY SELF-ORGANIZING FEATURE MAPS AND FUZZY CLUSTERING APPROACH. IRAN-WATER RESOURCES RESEARCH, 9(3 (28)), 24-36. SID. https://sid.ir/paper/99863/en

    Vancouver: Copy

    FARSADNIA F., MOGHADDAMNIA A.. REGIONAL FLOOD FREQUENCY ANALYSIS BY SELF-ORGANIZING FEATURE MAPS AND FUZZY CLUSTERING APPROACH. IRAN-WATER RESOURCES RESEARCH[Internet]. 2014;9(3 (28)):24-36. Available from: https://sid.ir/paper/99863/en

    IEEE: Copy

    F. FARSADNIA, and A. MOGHADDAMNIA, “REGIONAL FLOOD FREQUENCY ANALYSIS BY SELF-ORGANIZING FEATURE MAPS AND FUZZY CLUSTERING APPROACH,” IRAN-WATER RESOURCES RESEARCH, vol. 9, no. 3 (28), pp. 24–36, 2014, [Online]. Available: https://sid.ir/paper/99863/en

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