International Science Community Association Research Journal of Engineering Sciences 2278 - 9472 1 1 2012 07 26 Assessing Adequacy of Probability Distributional Model for Estimation of Design Storm 19 25 EN D.P Deshpande 1 Dept of Chemical Engineering, TKIET, Warananagar, MS, INDIA S.S. Haral 2 Dept. of Chemical Engineering, Govt. Polytechnic, Jalna, MS, INDIA S.S. Gandhi 3 Dept of Chemical Engineering, MIT, Alandi, Pune, MS, INDIA V.N. Ganvir 4 Dept, of Petrochemical Technology, LIT, Nagpur, MS, INDIA Vaibhav V. Prakash 1 Department of Computer Science and Engineering, Sri Jayachamarajendra College of Engineering, Mysore, INDIA Kutnikar Ajay L. 2 Department of Computer Science and Engineering, Sri Jayachamarajendra College of Engineering, Mysore, INDIA Tushar S. Patel 1 Computer Engineering Department, UVPCE, Kherva, Gujarat, INDIA Kiran R. Amin 2 Computer Engineering Department, UVPCE, Kherva, Gujarat, INDIA U.C. Roman 1 Sardar Vallabhai National Institute of Technology, Surat 395007, INDIA P.D. Porey 2 Sardar Vallabhai National Institute of Technology, Surat 395007, INDIA P.L. Patel 3 Sardar Vallabhai National Institute of Technology, Surat 395007, INDIA N. Vivekanandan 4 Central Water and Power Research Station, Pune 411024, INDIA > Research Paper 2012 5 30 2012 07 26 Estimation of rainfall for a desired return period is one of the pre-requisites for any design purposes at a particular site, which can be achieved by probabilistic approach. In the present study, six probability distributions such as extreme value type-1 (EV1), normal, lognormal (LN2), gamma, pearson type-3, log pearson type-3 (LP3) are used to fit to annual 1-day maximum rainfall (ADMR) for Atner, Multai and Dharni sites in upper Tapi basin. Goodness-of-Fit tests such as Anderson-Darling, Chi-square and Kolmogorov-Smirnov are used to judge the applicability of the distributions for modelling recorded ADMR data. Diagnostic test, involving D-index, is used for selection of suitable distribution for estimation of rainfall for different return periods. The study shows the EV1 distribution is better suited, amongst six distributions studied, for estimation of design storm for Atner while LN2 for Multai and LP3 for Dharni. Copyright@ International Science Community Association