Assessment of Rainfall and Temperature using OSA Estimators of Extreme Value Distributions
Journal Title: Bonfring International Journal of Software Engineering and Soft Computing - Year 2012, Vol 2, Issue 3
Abstract
Estimation of rainfall and temperature for a desired return period is one of the pre-requisite for planning, design and management of the civil structures at the project site. This paper illustrates the use of extreme value distributions for assessment of rainfall and maximum/ minimum temperature recorded at Bhavnagar and Hissar regions. Order statistics approach is used for determination of parameters of the distributions. Kolmogorov-Smirnov is applied for checking the adequacy of fitting of distributions to the recorded rainfall and temperature data. Diagnostic analysis involving D-index is used for selection of a suitable distribution for estimation of annual daily maximum rainfall and annual maximum/ minimum temperature for different return periods. The paper presents that the Gumbel distribution is better suited for assessment of rainfall and temperature for the regions under study.
Authors and Affiliations
Vivekanandan N, Dr. S. K. Roy , Rahul S. Jagtap
Keywords
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- EP ID EP98433
- DOI 10.9756/BIJSESC.10032
- Views 157
- Downloads 0
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