| Autor: |
Zamir, Faiza, Hanif, Fozia, Naz, Saba |
| Zdroj: |
Arabian Journal of Geosciences; Jul2021, Vol. 14 Issue 13, p1-10, 10p |
| Abstrakt: |
This study makes use of the Gumbel-logistic model for the analysis of the bivariate rainfall frequency for two correlated events: the annual extreme monthly rainfall and the corresponding total amount of rainfall. In the northern areas of Pakistan, rainfalls and floods are most affected by the drastic change in environment and weather conditions. The data set of annual extreme rainfall for the period of 1987–2016 has been used for evaluating the proper theoretical statistical distribution of extreme rainfall in Balakot, a northern city of Pakistan, as the variation in annual rainfall pattern was found to be more inconsistent during monsoon season. Furthermore, the applications of the Gumbel-logistic model on extreme events are also being experienced by comparative studies of the Joint return periods obtained by the bivariate-frequency analysis and standard univariate-analysis. The proposed model is verified by using observed annual extreme monthly rainfall data from Balakot. In this paper, the Gumbel-logistic model on extreme models has been tried using the available information, also in light of graphical and measurable tests. Results of the study show that the proposed model is appropriate for the representation of the joint distribution of annual monthly rainfall and corresponding amounts to improve the extreme rainfall assessment of univariate and bivariate distributions of two positively correlated variables. Also correlation between return periods of univariate and bivariate frequency analysis of such extreme events is derived to evaluate extreme rainfall risks in the future. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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