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Title

BEST FITTING DISTRIBUTION FUNCTION FOR LOW FLOWS (CASE STUDY: ATRAK RIVER BASIN)

Pages

  73-83

Abstract

 Various indices have been suggested to forecast drought worldwide. Regional analysis of LOW FLOWs in areas with short term or lacking available data is one of the best indices for hydrologic drought prediction. Hence, determining the most appropriate distribution function is of importance to regional hydrologic analysis. In this study, 16 hydro metric stations with available data based on statistical period were selected among all hydrometric stations of the basin. LOW FLOWs of 7 and IS-days were fitted to the data of each station on the basis of residual sum of squares (SR.S.S.) using eight probability distribution function during two different Statistical periods. The results showed that log Pearson type III distribution had the best fitness for 7 and 15days of LOW FLOWs.

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    APA: Copy

    NOSRATI, K., ZEHTABIAN, GHOLAM REZA, MOHSENI SARAVI, M., & MAHDAVI, M.. (2002). BEST FITTING DISTRIBUTION FUNCTION FOR LOW FLOWS (CASE STUDY: ATRAK RIVER BASIN). DESERT (BIABAN), 7(1), 73-83. SID. https://sid.ir/paper/5324/en

    Vancouver: Copy

    NOSRATI K., ZEHTABIAN GHOLAM REZA, MOHSENI SARAVI M., MAHDAVI M.. BEST FITTING DISTRIBUTION FUNCTION FOR LOW FLOWS (CASE STUDY: ATRAK RIVER BASIN). DESERT (BIABAN)[Internet]. 2002;7(1):73-83. Available from: https://sid.ir/paper/5324/en

    IEEE: Copy

    K. NOSRATI, GHOLAM REZA ZEHTABIAN, M. MOHSENI SARAVI, and M. MAHDAVI, “BEST FITTING DISTRIBUTION FUNCTION FOR LOW FLOWS (CASE STUDY: ATRAK RIVER BASIN),” DESERT (BIABAN), vol. 7, no. 1, pp. 73–83, 2002, [Online]. Available: https://sid.ir/paper/5324/en

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