DETERMINATION OF SUITABLE PROBABILITY DISTRIBUTION MODELS FOR ANNUAL PEAK DISCHARGE (CASE STUDY: CENTRAL ALBORZ REGION)

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SALAJEGHEH A.; MAHDAVI M.; KHOSRAVI M.

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Journal: JOURNAL OF WATERSHED MANAGEMENT RESEARCH Year:2010 | Volume:1 | Issue:1 Page(s): 88-96

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Title

DETERMINATION OF SUITABLE PROBABILITY DISTRIBUTION MODELS FOR ANNUAL PEAK DISCHARGE (CASE STUDY: CENTRAL ALBORZ REGION)

Author(s)

SALAJEGHEH A. | MAHDAVI M. | KHOSRAVI M. | Issue Writer Certificate

Keywords

PEAKDISCHARGEQ2

FREQUENCY DISTRIBUTIONQ3

MOMENTQ2

MAXIMUM LIKELIHOODQ3

CENTRAL ALBORZQ2

Abstract

In order to assess of suitable distribution along with statistical period length changes as well as to select the best FREQUENCY DISTRIBUTION to estimate peak discharge with certain occurance probability, 23 gauging station wich have the more complete data, were selected among hydrometrical gauge stations of CENTRAL ALBORZ region. A 20 years statical period has been selected after analyzing scatter data. complete the missing data and divided the prepared data in to 10, 15 and 20 years period. in every station 11 series of 10 years’ time period, 6 series of 15 years’ time period and A sery of 20 years’ time period and in all stations 414 series were analyzed. Then the best FREQUENCY DISTRIBUTION was selected for statistical series by data analysis in time series (according to HYFA output) and goodness of fit of relative residual square mean (RMS). trend of statistical distribution changes with change of statistical period length is in such way that no distribution can be selected definitely and based on the best fitted distribution in 10, 15 and 20 years’ time period, three parameters log pearson (moment) with 45.4 percent, three parameters log pearson (moment) with 35.5 percent and three parameters log pearson (moment) with 47.8 percent were the best distributions respectively. Second disribution for 10, 15 and 20 years’ time periods were three parameters Pearson (moment), two parameters Gama (maximum likelihood) and two parmeters log normal (maximum likelihood), respectively. on based on selecting best distribution with MOMENT and MAXIMUM LIKELIHOOD methods separately. three parameters log pearson was the best in MOMENT method and based on maximumlikelihood in 10 and 15 years time Periods two parameters gama distribution and in 20 years time period three parameters log normal were the best distributions.

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APA: Copy

SALAJEGHEH, A., MAHDAVI, M., & KHOSRAVI, M.. (2010). DETERMINATION OF SUITABLE PROBABILITY DISTRIBUTION MODELS FOR ANNUAL PEAK DISCHARGE (CASE STUDY: CENTRAL ALBORZ REGION). JOURNAL OF WATERSHED MANAGEMENT RESEARCH, 1(1), 88-96. SID. https://sid.ir/paper/230242/en

Vancouver: Copy

SALAJEGHEH A., MAHDAVI M., KHOSRAVI M.. DETERMINATION OF SUITABLE PROBABILITY DISTRIBUTION MODELS FOR ANNUAL PEAK DISCHARGE (CASE STUDY: CENTRAL ALBORZ REGION). JOURNAL OF WATERSHED MANAGEMENT RESEARCH[Internet]. 2010;1(1):88-96. Available from: https://sid.ir/paper/230242/en

IEEE: Copy

A. SALAJEGHEH, M. MAHDAVI, and M. KHOSRAVI, “DETERMINATION OF SUITABLE PROBABILITY DISTRIBUTION MODELS FOR ANNUAL PEAK DISCHARGE (CASE STUDY: CENTRAL ALBORZ REGION),” JOURNAL OF WATERSHED MANAGEMENT RESEARCH, vol. 1, no. 1, pp. 88–96, 2010, [Online]. Available: https://sid.ir/paper/230242/en

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