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Mann-Kendall 비모수 검정과 Sen's slope를 이용한 최근 40년 남한지역 계절별 평균기온의 경향성 분석

A trend analysis of seasonal average temperatures over 40 years in South Korea using Mann-Kendall test and sen's slope

  • 투고 : 2021.06.03
  • 심사 : 2021.06.08
  • 발행 : 2021.06.30

초록

범지구적 이상기후의 잦은 출현으로 기상 변화에 대한 관련 연구가 활발히 진행되고 있지만, 장기간 축적된 기상자료를 이용한 경향성 분석 연구는 부족하였다. 본 연구에서는 비모수적 분석방법을 이용해 40년간 종관기상관측장비(ASOS)로 부터 축적된 기온 시계열 자료의 경향성을 분석하였다. 남한지역의 연평균 기온과 계절별 평균기온 시계열 자료에 대한 Mann-Kendall 검정 결과 상승 경향성이 존재하는 것으로 나타났다. 또한 Pettitt 검정을 적용해 탐색된 변동점을 전후로 경향성의 정도를 파악할 수 있는 Sen's slope를 계산한 결과, 변동점 이후의 최근 자료에서 기온의 상승 경향성이 더욱 큰 것을 확인하였다.

Due to the frequent emergence of global abnormal climates, related studies on meteorological change is being actively proceed. However, the research on trend analysis using weather data accumulated over a long period of time was insufficient. In this study, the trend of temperature time series data accumulated from automated surface observing system (ASOS) for 40 years was analyzed by using a non-parametric analysis method. As a result of the Mann-Kendall test on the annual average temperature and seasonal average temperature time series data in South Korea, it has shown that an upward trend exists. In addition, the result of calculating the Sen's slope, which can determine the degree of tendency before and after the searched change point by applying the Pettitt test, recent data after the fluctuation point confirmed that the tendency of temperature rise was even greater.

키워드

과제정보

이 성과는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(NRF-2020R1F1A1A01069114).

참고문헌

  1. Back SY, Kim SW, Jung MI, Roh JW, and Son SW (2018). Classification of heat wave events in Seoul using self-organizing map, Journal of Climate Change Research, 9, 209-221. https://doi.org/10.15531/KSCCR.2018.9.3.209
  2. Choi W, Ho CH, Kim MK, Kim J, Yoo HD, Jhun JG, and Jeong, J. H. (2018). Season-dependent warming characteristics observed at 12 stations in South Korea over the recent 100 years, International Journal of Climatology, 38, 4092-4101. https://doi.org/10.1002/joc.5554
  3. Di Piazza A, Lo Conti F, Noto LV, Viola F, and La Loggia G (2011). Comparative analysis of different techniques for spatial interpolation of rainfall data to create a serially complete monthly time series of precipitation for Sicily, Italy, International Journal of Applied Earth Observation and Geoinformation, 13, 396--408. https://doi.org/10.1016/j.jag.2011.01.005
  4. Kim HK, Kang IK, Lee JW, and Lee YS (2016). A comparison of imputation methods for the consecutive missing temperature data, The Korean Journal of Applied Statistics, 29, 549-557. https://doi.org/10.5351/KJAS.2016.29.3.549
  5. Kim HK, Kim KS, Lee JW, and Lee YS (2017). Cluster analysis by month for meteorological stations using a gridded data of numerical model with temperatures and precipitation, Journal of the Korean Data and Information Science Society, 28, 1133-1144.
  6. Kim JH and Park SS (2004). Long-term trend analyses of water qualities in Nakdong River based on non-parametric statistical methods, Journal of Korean Society on Water Environment, 20, 63-71.
  7. Lee HC, Cho YJ, Lim B, and Kim SB(2020). Study on the association of casualties and classification of heat wave weather patterns in South Korea using K-means clustering analysis, Journal of the Korean Society of Hazard Mitigation, 20, 11-18.
  8. Legates DR and McCabe Jr GJ (1999). Evaluating the use of "goodness-of -fit" measures in hydrologic and hydroclimatic model evaluation, Water Resources Research, 35, 233-241. https://doi.org/10.1029/1998WR900018
  9. Mann HB (1945). Nonparametric tests against trend, Econometrica, 13, 245-259. https://doi.org/10.2307/1907187
  10. Pettitt AN (1979). A non-parametric approach to the change-point problem, Journal of the Royal Statistical Society, 28, 126-135. https://doi.org/10.2307/2346729
  11. Sen PK (1968). Estimates of the regression coefficient based on Kendall's tau, Journal of the American statistical association, 63, 1379-1389. https://doi.org/10.1080/01621459.1968.10480934
  12. Swart R, Robinson J, and Cohen S (2003). Climate change and sustainable development: expanding the options Climate policy, 3, 19-40. https://doi.org/10.3763/cpol.2003.0303
  13. Yozgatligil C, Aslan S, Iyigun C, and Batmaz I (2013). Comparison of missing value imputation methods in time series: the case of Turkish meteorological data, Heoretical and Applied Climatology, 112, 143-167. https://doi.org/10.1007/s00704-012-0723-x