Analysis of Statistical Characteristics of Annual Precipitation in Korea Using Data Screeening Technique

데이터 스크린 기법을 이용한 연강수량의 통계적 특성 분석

  • Jeung, Se-Jin (Climate Disaster Big Data Center, Kangwon Institute of Inclusive Technoligy, Kangwon National University) ;
  • Lim, Ga-Kyun (Disaster Prevention Department, Kyongbo Engineering co.LTD) ;
  • Kim, Byung-Sik (Department of Urban & Environmental Disaster Prevention Engineering, Kangwon National University)
  • 정세진 (강원대학교 강원종합기술연구원) ;
  • 임가균 ((주)경보기술단 방재부) ;
  • 김병식 (강원대학교 도시환경방재공학전공)
  • Received : 2020.08.25
  • Accepted : 2020.09.20
  • Published : 2020.09.30


Hydrological data is very important in understanding the hydrological process and identifying its characteristics to protect human life and property from natural disasters. In particular, hydrological analysis are often performed assuming that hydrological data are stationary. However, recently climate change has raised the issue of climate stationary, and it is necessary to analyze the nonstationary of the climate. In this study, a method to analyze the stationarity of hydrological data was examined using the annual precipitation of 37 meteorological stations with long - term record data. Therefore, in this study, the stationary was determined by analyzing the persistence, trend, and stability using annual precipitation. Overall results showed that a trend was observed in 4 out of 37 stations, stable was investigated at 15 stations, and persistence was shown at 4 stations. In the stationary analysis using the annual precipitation data, 25 stations (67% of 37 stations) were nonstationary.


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