European Academic Research ISSN 2286-4822
ISSN-L 2286-4822
Impact Factor: 3.4546 (UIF)
DRJI Value : 5.9 (B+)
Article Details :
Article Name :
Probability Analysis of Maximum Monthly Precipitation of Upper Indus Basin
Author Name :
ASIF IQBAL, SYED AHMAD HASSAN1
Publisher :
Bridge Center
Article URL :
Abstract :
Statistics of the magnitude of extreme precipitation for a specific probability of occurrences is essential for the design of hydraulic structures. The capacity of such structures is generally designed sequentially to prevent flooding; thereby reducing the loss of life and infrastructure is achieved. In this study the probability analysis of maximum monthly precipitation data of seven weather stations (Astore, Chitral, Chilas, Gilgit, Gupis, Skardu and Swat) of upper Indus basin for a period of 30 years (1986-2015) is performed by the frequency factor approach. The expected maximum monthly precipitations were evaluated for the probability distributions via: Normal, Log-Normal, Log-Pearson type-III and Gumbel distributions for return periods of 2, 5, 10, 25, 50 and 100 years. The return period of the observed maximum monthly precipitation magnitude at each station is determined by the Weibull’s plotting position method. The best-fit probability distribution was selected by using Chi-square and Kolmogorov Simonov test. Moreover, the exponential equations of the form bx y ? ae are fitted with coefficient of determination respectively to the observed magnitude of maximum monthly precipitation with return period T for each station. It was observed that the log-normal and log-Pearson type-III are the best-fit probability distribution to predict the maximum monthly precipitation of the upper Indus region for different return periods. To be consistent, the forecasted maximum precipitations for the selected return periods are assessed in comparison with the results of the plotting position. This study suggested that plotting position methods can provide reliable estimates of precipitation for higher return periods.
Keywords :
Precipitation analysis, Return period, Probability distribution, Plotting Position

Announcements
New Launched Project
onlineresearch
Recommend & Share