Precipitation may be a prime input for varied engineering style like hydraulic structures, conservation structures, bridges and culverts, canals, storm water sewer and road system. The careful applied math analysis of every region is crucial to estimate the relevant input worth for style and analysis of engineering structures and additionally for crop designing. this study includes applied math analysis i.e. frequency analysis of daily most precipitation information of Udaipur district. The daily precipitation information for a amount of fifty six years is collected to judge designed worth of precipitation exploitation chance distribution models. Around 07 totally different chance distributions (Gamble?s extreme worth kind I, Logpearson kind III, Lognormal, Normal, Exponential, Pearson kind III and Gamma distribution) were accustomed appraise most daily precipitation. Kolmogorov-Smirnov and Chi-squared tests were used for the goodness of work of the chance distributions. Results showed that Lognormal distribution and Gumbel distribution found to be have least essential values for each the tests thence take into account because the best work distribution for given sample population. Additionally most daily mean value of precipitation for varied come back periods were evaluated exploitation all distribution model into account.
Alok Bijarniya "Frequency Analysis Of Daily Rainfall Data Of Udaipur District" Iconic Research And Engineering Journals Volume 3 Issue 7 2020 Page 15-23
Alok Bijarniya "Frequency Analysis Of Daily Rainfall Data Of Udaipur District" Iconic Research And Engineering Journals, 3(7)
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