National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692 Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
Rainfall is a prime input for various engineering design such as hydraulic structures, water conservation structures, bridges and culverts, canals, storm water sewer and road drainage system. The detailed statistical analysis of each region is essential to estimate the relevant input value for design and analysis of engineering structures and also for crop planning. The present study comprises statistical analysis i.e. frequency analysis of daily maximum rainfall data of Udaipur district. The daily rainfall data for a period of 56 years is collected to evaluate designed value of rainfall using probability distribution models. Around 07 different probability distributions (Gamble’s extreme value type I, Logpearson type III, Lognormal, Normal, Exponential, Pearson type III and Gamma distribution) were used to evaluate maximum daily rainfall. Chi-squared tests were used for the goodness of fit of the probability distributions. Results showed that Lognormal distribution and Gumbel distribution found to be have least critical values in the tests hence consider as the best fit distribution for given sample population. Also maximum daily expected value of rainfall for various return periods were evaluated using all distribution model under consideration.
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