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Investigation of Applicability of Artificial Bee Colony Algorithm on Rainfall Intensity Duration Frequency Equations

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The main objective of this study was to investigate the applicability and efficiency of an artificial bee colony optimization algorithm to determine two statistical-based rainfall intensity duration frequency equations’ weighting parameters. For this aim, the annual maximum rainfall records were obtained from seven meteorological stations of seven geographic regions in Turkey. It was observed that the Artificial Bee Colony algorithm, which is an alternative technique for solving the rainfall intensity duration frequency equations, gives very good results in selected seven meteorological stations.
Rocznik
Strony
27--33
Opis fizyczny
Bibliogr. 21 poz., rys., tab.
Twórcy
  • Construction Department, Vocational School of Higher Education, Sinop University, 57200, Boyabat, Sinop, Turkey
  • Civil Engineering Department, Faculty of Engineering, Ondokuz Mayis University, 55270, Atakum, Samsun, Turkey
Bibliografia
  • 1. Akay B., Karaboga D. 2015. A survey on the applications of Artificial Bee Colony in signal image and video processing. Signal, Image And Video Processing, 9(4), 967–990.
  • 2. Aron G., Wall D.J., White E.L., Dunn C.N. 1987. Regional rainfall intensity–duration–frequency curves for Pennsylvania. Water Resour. Bull., 23(3), 479–485.
  • 3. Awadallah A.G. 2013. regional intensity–duration–frequency curves for Jeddah region, Saudi Arabia using ordinary and l-moments approaches. J. Flood Risk Manage., 8(3), 195–207.
  • 4. Chebbı A., Bargaouı Z.K., Da Conceıção Cunha M. 2013. Development of a method of robust rain gauge network optimization based on ıntensity-durationfrequency results. Hydrol. Earth Syst. Sci., 17, 4259–4268
  • 5. Chen C.I. 1983. Rainfall intensity-duration-frequency formulas. J. Hydraul. Eng., 109(12), 1603–1621.
  • 6. Cunnane C. 1978. Unbiased plotting positions: A review. Journal of Hydrology, 37, 205–222.
  • 7. Elsebaie I.H. 2012. Developing rainfall ıntensity–duration–frequency relationship for two regions in Saudi Arabia. Journal Of King Saud UniversityEngineering Sciences, 24(2), 131–140.
  • 8. Garcıa-Bartual R., Schneıder M. 2001. Estimating maximum expected short-duration rainfall ıntensities from extreme convective storms. Physics And Chemistry Of The Earth, Part B: Hydrology, Oceans, And Atmosphere, 26(9), 675–681.
  • 9. Guclu Y.S., Sisman E., Yelegen M.O. 2016. Climate change and frequency–intensity–duration (FID) curves for Florya station, Istanbul. Journal Of Flood Risk Management, 11(1), 403–418.
  • 10. Karaboga D. 2005. An idea based on honey bee swarm for numerical optimization. Technical Report Tr06, Erciyes University, Engineering Faculty, Computer Engineering Department.
  • 11. Karaboga D., Akay B. 2011. A Modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems. Applied Soft Computing, 11(3), 3021–3031.
  • 12. Karaboga D., Basturk B. 2007. A powerful and efficient algorithm gor numerical function optimization: Artificial Bee Colony (ABC) algorithm. Journal of Global Optimization 39(3), 459–471.
  • 13. Karahan H. 2012. Determining rainfall intensity duration frequency relationship using Particle Swarm Optimization. Ksce Journal Of Civil Engineering, 16(4), 667–675.
  • 14. Karahan H. 2019. Determination of homogeneous sub-regions by using ıntensity-duration-frequency relationships and cluster analysis: An application for the Aegean region. Pamukkale University Journal Of Engineering Sciences, 25(8), 998–1013.
  • 15. Karahan H., Ayvaz M.T., Gurarslan G. 2008. determination of ıntensity duration frequency relationship by Genetic Algorithm: Case study of Gap. IMO Technical Journal, 19(2), 4393–4407.
  • 16. Karahan H., Ceylan H., Ayvaz M.T. 2007. Predicting rainfall intensity using a Genetic Algorithm approach. Hydrological Processes, 21, 470–475.
  • 17. Koutsoyıannis D., Kozonıs D., Manetas A. 1998. A mathematical framework for studying rainfall intensity duration frequency relationships. Journal Of Hydrology, 206(1–2), 118–135.
  • 18. Manzano-Aguglıaro F., Zapata-Sıerra A., Rubí J.F., Hernández-Escobedo Q. 2014. Assessment of methods to obtain IDF curves for Mexico. Water Technology And Sciences, 5(3), 149–158.
  • 19. Noor M., Ismail T., Chung E.S., Shahıd S., Sung J.H. 2018. Uncertainty in rainfall intensity duration frequency curves of peninsular Malaysia under changing climate scenarios. Water, 10, 1750–1774.
  • 20. Ozturk C., Hancer E., Karaboga D. 2014. Improved clustering criterion for image clustering with Artificial Bee Colony Algorithm. Pattern Anal. Appl., 18(3), 587–599.
  • 21. Raiford J.P., Azız N.M., Khan A.A., Powell D.N. 2007. Rainfall depth-duration-frequency relationships for South Carolina, North Carolina, and Georgia. American Journal Of Environmental Science, 3(2), 78–84.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d7015ac3-c3cf-40d9-bdb8-18a625a7c38d
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