Probability Distribution of Rainfall and Discharge of Kulsi River Basin
Ananya Kalita1, Arnob Bormudoi2, Mimi Das Saikia3
1Ms. Ananya Kalita, M.Tech, Department of Civil Engineering, Assam Down Town University, Guwahati (Assam), India.
2Dr. Arnob Bormudoi, Associate Professor, Department of Civil Engineering, Assam down town University, Guwahati (Assam), India.
3Dr. Mimi Das Saikia, Professor, Department of Civil Engineering, Assam Down Town University, Guwahati (Assam), India.
Manuscript received on 13 April 2017 | Revised Manuscript received on 20 April 2017 | Manuscript Published on 30 April 2017 | PP: 31-37 | Volume-6 Issue-4, April 2017 | Retrieval Number: D4889046417/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The frequency analysis of daily rainfall data of 24 years was carried out to determine the annual one day maximum rainfall and discharge of Ukiam. For evaluation of observed and expected values Weibull’s plotting position Gumbel, Log Pearson and Log normal probability distribution functions were fitted. For determination of goodness of fit chi square test was carried out by comparing the expected values with the observed values. The results found showed that the Log Pearson and Log Normal were the best fit probability distribution for determination of annual one day maximum rainfall and discharge for different return periods respectively.
Keywords: Probability Distribution, Chi-Square Value
Scope of the Article: Environments