%0 Journal Article
%T Assessment of Rainfall and Temperature using OSA Estimators of Extreme Value Distributions
%A N. Vivekanandan
%J Bonfring International Journal of Software Engineering and Soft Computing
%D 2012
%I Bonfring
%R 10.9756/bijsesc.10032
%X 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.
%K D-Index
%K Frechet
%K Gumbel
%K Kolmogorov-Smirnov
%K Rainfall
%K Temperature
%U http://www.journal.bonfring.org/papers/sesc/volume2/BIJ-10032.pdf