Statistical Analysis of Extreme River Flows

被引：0
|
作者：
Mateus, Ayana [1 ,2 ]
Caeiro, Frederico [1 ,2 ]
Gomes, Dora Prata [1 ,2 ]
Sequeira, Ines J. [1 ,2 ]
机构：
[1] Univ Nova Lisboa, Fac Ciencias & Tecnol, P-2829516 Caparica, Portugal
[2] Univ Nova Lisboa, CMA, P-2829516 Caparica, Portugal
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2016 (ICCMSE-2016) | 2016年 / 1790卷
关键词：
INFERENCE;
D O I：
10.1063/1.4968685
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Floods are recurrent events that can have a catastrophic impact. In this work we are interested in the analysis of a data set of gauged daily flows from the Whiteadder Water river, Scotland. Using statistic techniques based on extreme value theory, we estimate several extreme value parameters, including extreme quantiles and return periods of high levels.
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页数：4
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