Abstract This study proposes a Particle Swarm Optimization (PSO) algorithm to model the Rainfall-Intensity-Duration-Frequency (RIDF) relationship. The study is carried out under two scenarios. In scenario I, a data set with a length of 50 years is used. In Scenario II, the data set is extended to 68 years by adding the values of the recent 18 years. Scenario I is used for testing the robustness of the proposed PSO-RIDF model. The PSO-RIDF algorithm gives the same objective function value for different runs and this shows that the proposed algorithm is robust. Scenario II is used to investigate the influence of data length on model performance. It has been observed that the proposed PSO-RIDF model gives the same performance results as that of the Genetic Algorithm (GA) according to various error evaluation criteria. The PSO-RIDF model shows better performance than GA formulas when the number of parameters increases. It has also been observed that the length of the data set and the chosen formulation are influential on model performance. The weighting parameters of the RIDF model may be determined with PSO algorithm in one-stage instead of any statistical computations and/or trial-error procedure.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Determining rainfall-intensity-duration-frequency relationship using Particle Swarm Optimization


    Contributors:

    Published in:

    Publication date :

    2012-04-29


    Size :

    9 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Estimation of Intensity-Duration-Area-Frequency Curves Using Scaling Properties of Hourly Rainfall Data

    Nhat, Le Minh / Tachikawa, Yasuto / Sayama, Takahiro et al. | HENRY – Federal Waterways Engineering and Research Institute (BAW) | 2008

    Free access


    Particle Swarm Optimization

    Gerhard Venter / Jaroslaw Sobieszczanski-Sobieski | AIAA | 2003


    Particle Swarm Optimization

    Venter, G. / Sobieszczanski-Sobieski, J. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2002