Title: Probability analysis of consecutive days annual maximum rainfall for the design of surface drains in semi-arid Maharastra
Abstract:Daily rainfall data of 25 years (1974–1998) were analyzed to ascertain one to four consecutive days maximum rainfall of Akola (M.S.). The observed values are estimated by Weibull's plotting position a...Daily rainfall data of 25 years (1974–1998) were analyzed to ascertain one to four consecutive days maximum rainfall of Akola (M.S.). The observed values are estimated by Weibull's plotting position and expected values are estimated by three well known probability distribution functions viz, Gumbel, Lognormal and Log Pearson type -III. The expected values calculated out by three' probability distributions were compared with observed values worked out by Weibull's method and goodness of fit were determined by Chi-square (X2) test. The frequency analysis indicates that Lognormal distribution gives the closest fit to the observed data to forecast 1-day annual maximum rainfall. Study further revealed that incase of two, three and four consecutive days annual maximum rainfall for different return periods, Lognormal distribution gave the closest fit to the observed data. The probability analysis of one to four consecutive days maximum rainfall for different return periods will be useful for design of surface drains and other hydraulic structure of semi arid region of the district having predominantly clayey soils.Read More
Publication Year: 2008
Publication Date: 2008-01-01
Language: en
Type: article
Access and Citation
Cited By Count: 3
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot