مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

227
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Multivariate Flood Analysis Using Vine Copulas in Bazoft Watershed, Iran

Pages

  674-690

Abstract

 In this study, we applied the vine Copula structures for multivariate analysis of Flood characteristics. For this purpose, the hydrographs of 98 Flood events recorded at Landi station in Bazoft watershed, in Chaharmahal va Bakhtiari Province, were selected and the Flood characteristics, including peak Flood (P), Flood volume (V), Flood duration (D) and time to peak (T) were extracted. Then, the best fitted distribution on each variable was selected by Kolmogorov-Smirnov test. In the next phase, the C-vine and D-Vine structure were created considering three (P, V and T/D) and four variables (P, D, T and V) in changeable orders. In this way, the Flood volume and peak were considered in a constant combination, and Flood duration or the time to peak were consideredchangeable in tri-variate joints. In the four-variable joints, different combinations of all four variables were used. We used Gumbel, Frank, Joe, Clayton, Gaussian and t-student Copula functions to combine these variables. The results obtained from the theoretical joint were compared with the experimental joint of that compound. Results showed that the best permutations of C-vine and D-vine Copulas are similar in trivariate models TPV, (NSE=0. 913), and the Gumbel and Gaussian Copulas have selected as the best-fitted Copula at the edges. In four-variate cases, the best C-vine and D-Vine structures were PVTD and PTVD, (NSE=0. 989) and the Gumbel and Gaussian were the abundant Copulas in both of C-vine and D-vine models. The results indicated that the four-variate Vine structures have higher concordance with the empirical Copula than the tri-variate structures.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    AMINI, SASAN, ZARE BIDAKI, RAFAT, MIRABBASI, RASOUL, & SHAFAEI, MARYAM. (2021). Multivariate Flood Analysis Using Vine Copulas in Bazoft Watershed, Iran. JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), 73(4 ), 674-690. SID. https://sid.ir/paper/409199/en

    Vancouver: Copy

    AMINI SASAN, ZARE BIDAKI RAFAT, MIRABBASI RASOUL, SHAFAEI MARYAM. Multivariate Flood Analysis Using Vine Copulas in Bazoft Watershed, Iran. JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES)[Internet]. 2021;73(4 ):674-690. Available from: https://sid.ir/paper/409199/en

    IEEE: Copy

    SASAN AMINI, RAFAT ZARE BIDAKI, RASOUL MIRABBASI, and MARYAM SHAFAEI, “Multivariate Flood Analysis Using Vine Copulas in Bazoft Watershed, Iran,” JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), vol. 73, no. 4 , pp. 674–690, 2021, [Online]. Available: https://sid.ir/paper/409199/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button