search for




 

Analysis of the generalized extreme value of drought on the Korean Peninsula using inter-amount times
Journal of the Korean Data & Information Science Society 2021;32:1023-34
Published online September 30, 2021;  https://doi.org/10.7465/jkdi.2021.32.5.1023
© 2021 Korean Data and Information Science Society.

Jihoon Lee1 · Taeyong Kwon2 · Sanghoo Yoon3

13Division of mathematics and Big data science, Daegu University
2Department of Statistics, Daegu University
Correspondence to: 1 Undergraduate student, Division of Mathematics and Big Data Science, Daegu University, Gyeongsan 38453, Republic of Korea.
2 Doctor’s course, Department of Statistics, Daegu University, Gyeongbuk 38453, Republic of Korea.
3 Corresponding author: Assistant professor, Division of mathematics and Big data science, Daegu University, Gyeongbuk 38453, Korea. E-mail: statstar@daegu.ac.kr
This research was supported by the Daegu University, 2020.
Received August 19, 2021; Revised September 15, 2021; Accepted September 23, 2021.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The risk of drought is increasing due to global warming, causing enormous damage to mankind. To prevent this, the risk of drought is assessed according to various standards. Among them, the number of days without precipitation is continuing or days that do not exceed the standard precipitation is called the meterological criterion. Inter-amount time (IAT) is an expression of the meteorological drought criteria in hours. This can be used to stochastically evaluate the number of days without precipitation, but there is a disadvantage that values change with the start point, and to compensate for this, we present modified inter-amount time (M-IAT) in this study. To compare the two models, 67 ASOS data were used for generalized extreme models from 1990 to 2020, and through return level, found areas where IAT and M-IAT difference and other areas and areas of constant risk days without precipitation. Most of them were larger in M-IAT than IAT, mainly there was a big difference in areas with less precipitation but high precipitation frequency and areas with less precipitation in winter. The riskness of number of days without precipitation was higher in Gangwon Hongcheon and Gyeongsang than in other regions.
Keywords : generalized extreme value distribution, inter-amount time, modified inter amount time, return level.