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태풍이 일 최대강수량에 미치는 영향 평가

Evaluation of the impact of typhoon on daily maximum precipitation

  • 양미연 (대구대학교 일반대학원 통계학과) ;
  • 윤상후 (대구대학교 전산통계학과)
  • Yang, Miyeon (Department of Statistics, Daegu University) ;
  • Yoon, Sanghoo (Department of Statistics and Computer Science, Daegu University)
  • 투고 : 2017.09.29
  • 심사 : 2017.11.09
  • 발행 : 2017.11.30

초록

태풍은 강한 바람과 폭우를 동반하며 매년 한반도에 인명과 재산피해의 원인이 된다. 국내에서 발생한 자연재해 피해에서 태풍이 차지하는 비중이 높다. 태풍의 많은 피해는 폭우에 의해 발생하므로 태풍이 일 최대강수량에 미치는 영향을 정량적으로 살펴볼 필요가 있다. 일 최대강수량은 극치자료로 일반적으로 일반화극단치분포를 따른다. 연구자료로 1976년부터 2016년까지 한반도에 설치된 60개 종관기상관측장비에서 수집된 일강수량, 최대풍속, 평균풍속 자료가 사용되었다. 태풍이 온 기간을 제외한 일강우량 자료와 태풍이 온 기간을 포함한 일강우량 자료로 구분하여 일반화극단치모형에 적합시켰다. 모수추정방법으로 최우추정법과 L-적률추정법이 이용되었다. K-S검정과 $Cram{\acute{e}}r$ von Mises검정을 통해 모형의 적합도를 검정하였다. 추정된 모수를 기반으로 25년, 50년, 100년, 200년 재현수준을 계산하였다. 태풍기간 포함유무에 따른 재현수준을 비교한 결과 태풍은 강릉 인근의 동해안과 울산과 완도 인근의 남해안의 일 최대강수량에 영향을 미친다.

Typhoons are accompanied by strong wind and heavy rains. It causes casualties and property damage on the Korean peninsula every year. The effect of typhoon to daily precipitation should be quantified to prevent the damage of typhoon. Daily precipitation, maximum wind speed and, mean wind speed data was collected from 60 weather stations between 1976 and 2016. The parameters of the generalized extreme value distribution were estimated through the maximum likelihood estimation and the L-moment estimation. The impact of a typhoon can be obtained through a comparison of return levels between the whole data and typhoon excluded data. We conclude that the eastern and southern coastline are exposed to the risk of heavy rainfall which is caused by typhoon.

키워드

참고문헌

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