Assessment of Rainfall and Temperature using OSA Estimators of Extreme Value Distributions | Zendy

N Vivekananda | Zendy

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Assessment of Rainfall and Temperature using OSA Estimators of Extreme Value Distributions

Author(s) -

N Vivekananda

Publication year - 2012

Publication title -

bonfring international journal of software engineering and soft computing

Language(s) - English

Resource type - Journals

eISSN - 2277-5099

pISSN - 2250-1045

DOI - 10.9756/bijsesc.10032

Subject(s) - extreme value theory , estimator , environmental science , statistics , value (mathematics) , generalized extreme value distribution , climatology , mathematics , atmospheric sciences , meteorology , geography , geology

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

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