The daily rainfall data of 36 years (1975-2010) were analyzed to determine the annual one day maximum rainfall<br />of UP west region, India. The observed values were estimated by Weibull’s plotting position and expected values<br />were estimated by two well-known probability distribution functions viz., normal and Gumbel. The expected values<br />were compared with the observed values and goodness of fit was determined by chi-square (c2) test. The results<br />showed that the Gumble distribution was the best fit probability distribution to forecast annual one day maximum<br />rainfall for different return periods, based on the best fit probability distribution. The minimum rainfall 68.19 mm in<br />a day can be expected to occur with 97 per cent probability and one year return period. However; the maximum<br />rainfall 265.5 mm received with one per cent probability and 100 year return period. The results of this study may<br />be very useful for agricultural scientists and civil engineers, decision makers, policy planners and researchers for<br />agricultural development, construction and planning of soil and water conservation structures, irrigation and<br />drainage systems in UP west region.

Keyword: Water deficiency; One day maximum rainfall; Probability distribution; Return period