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Information Journal Paper

Title

DETERMINE OF DESIGN MAXIMUM INTENSITY OF PRECIPITATION BY COMBINED FRACTAL THEORY AND GENERALIZED EXTREME VALUE DISTRIBUTION

Pages

  83-90

Keywords

GENERALIZED EXTREME VALUE (GEV) DISTRIBUTIONQ2

Abstract

 Determine of design maximum intensity of precipitation is necessary in hydrologic design of hydraulic structures. It's amount often obtained from rainfall Intensity-Duration-Frequency (IDF) curves. In this method, there is required maximum annual intensity of precipitation in different duration that this data for some of the durations aren't usually available. Also, this method requires large number of parameters and these parameters depend on return period. In present research the combined FRACTAL theory and Generalized Extreme Value (GEV) distribution were used to calculate the design maximum intensity of precipitation from annual 24-hours maximum precipitation series. The results at TALE-ZANG SITE which located in North Khuzestan province within the latitude and longitude of 48 46 north and 32 49 east show that precipitation fallows the mono-FRACTAL process between 1 to 8 days and estimates design storm using FRACTAL theory are more accurate compared whit the observed rainfall.

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    APA: Copy

    NOURI GHEIDARI, M.H.. (2012). DETERMINE OF DESIGN MAXIMUM INTENSITY OF PRECIPITATION BY COMBINED FRACTAL THEORY AND GENERALIZED EXTREME VALUE DISTRIBUTION. IRRIGATION SCIENCES AND ENGINEERING (JISE) (SCIENTIFIC JOURNAL OF AGRICULTURE), 35(2), 83-90. SID. https://sid.ir/paper/216995/en

    Vancouver: Copy

    NOURI GHEIDARI M.H.. DETERMINE OF DESIGN MAXIMUM INTENSITY OF PRECIPITATION BY COMBINED FRACTAL THEORY AND GENERALIZED EXTREME VALUE DISTRIBUTION. IRRIGATION SCIENCES AND ENGINEERING (JISE) (SCIENTIFIC JOURNAL OF AGRICULTURE)[Internet]. 2012;35(2):83-90. Available from: https://sid.ir/paper/216995/en

    IEEE: Copy

    M.H. NOURI GHEIDARI, “DETERMINE OF DESIGN MAXIMUM INTENSITY OF PRECIPITATION BY COMBINED FRACTAL THEORY AND GENERALIZED EXTREME VALUE DISTRIBUTION,” IRRIGATION SCIENCES AND ENGINEERING (JISE) (SCIENTIFIC JOURNAL OF AGRICULTURE), vol. 35, no. 2, pp. 83–90, 2012, [Online]. Available: https://sid.ir/paper/216995/en

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