MATEC Web of Conferences
Volume 57, 20164th International Conference on Advancements in Engineering & Technology (ICAET-2016)
|Number of page(s)||4|
|Section||Mechanical & Civil Engineering|
|Published online||11 May 2016|
Frequency Analysis of Rainfall Data of Dharamshala Region
1 M. Tech student, Department of Civil Engineering, Jaypee University of Information Technology, Waknaghat, Solan (H.P.), India
2 Associate Professor, Department of Civil Engineering, Jaypee University of Information Technology, Waknaghat, Solan (H.P.), India
Corresponding author: firstname.lastname@example.org
The present study evaluates the rainfall magnitude for different return periods and also to ascertain the type of probability distribution that best fits the rainfall data of Dharamshala (H.P.), India. The study uses the 20 years of annual rainfall data that are useful for the prediction of annual one day maximum rainfall and two to seven days consecutive days maximum rainfall corresponding to return period varying from 2 to 20 years are to be used for the economic planning, by design engineers and hydrologists, design of small and medium hydrologic structures and determination of drainage coefficient for agricultural fields. Various probability distributions (viz: Normal, Log Normal and Gamma distribution) and transformations are applied to estimate one day and two to seven consecutive days annual maximum rainfall of various return periods in the Dharamshala (H.P.) region. The mean value of one-day annual maximum rainfall at Dharamshala is found to be 142.9 mm with standard deviation and coefficient of variation of 54.8 and 51.34 respectively. The coefficient of skewness is 1.1. For 2 to 7 days consecutive annual maximum rainfall range values for mean, standard deviation, coefficient of variation and coefficient of skewness are 201 – 393.4 mm , 70.17 – 146.5, 41.65 – 30.47 and 0.726 – 1.593. It is observed that all distribution fitted function significantly.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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