DOI QR코드

DOI QR Code

강수지표를 이용한 남·북한 강수특성 비교

Comparison of Precipitation Characteristics using Rainfall Indicators Between North and South Korea

  • 이보람 (서울과학기술대학교 건설시스템디자인공학과) ;
  • 정은성 (서울과학기술대학교 건설시스템디자인공학과) ;
  • 김태웅 (한양대학교 건설환경플랜트공학과) ;
  • 권현한 (전북대학교 토목공학과)
  • 투고 : 2012.12.31
  • 심사 : 2013.08.21
  • 발행 : 2013.11.30

초록

본 연구는 남 북한에서 시 공간적 강수특성 변화를 이해하고자, 남한 65개 기상청 관측소에서 1963년부터 2010년까지, 북한 27개 관측소에서 1973년부터 2010년까지 측정된 일 강수량 자료를 분석했다. 총량(Amount), 극치(Extremes)와 빈도(Frequency)를 나타내는 지표들을 선정하였고, 각각의 지표를 RIA (Rainfall Index for Amount), RIE (Rainfall Index for Extremes), RIF (Rainfall Index for Frequency)로 정의하였다. 남 북한 행정구역별로 2000년까지 평균 지표 값과 2001년부터 2010년까지 최근 10년 평균 지표 값을 비교하였다. 과거에 비해 최근 10년간 남한은 연중 강우일수를 나타내는 NWD (Number of Wet Days)와, 200년 빈도 강수량을 나타내는 Freq200 (200-yr Frequency Rainfall)을 제외한 SDW (Annual mean daily rainfall over wet-days), TotalDR (Annual Total Rainfall Amount), Prcp50 (Annual number of wet days over 50 mm/day), Prcp80 (Annual number of wet days over 80 mm/day), CWD (Annual maximum number of consecutive wet-days), AMDR (Annual maximum daily rainfall), 그리고 R3day (Annual maximum 3-days rainfall total) 값들이 모두 증가한 양상을 보였지만 북한은 SDW와, 연총강우량 TotalDR을 제외하곤 모두 감소하였다. 또한 연평균 지표 값의 경향성을 확인하기 위해 통계적 방법인 Mann-Kendall 검정을 실시하였다. 과거 감소의 경향을 나타내던 각 관측지점이 최근에 이르러서는 경향성의 역전 되는 현상을 보인 곳이 나타났으며, 이는 평균값만을 바탕으로 강수사상 특성변화를 분석하는 방법의 한계점으로 볼 수 있다. 본 연구의 결과는 한반도 물 관리 기후변화에 대한 영향 분석과 대응 대책 마련에 활용될 수 있을 것이다.

This study aimed to understand temporal and spatial trends of rainfall characteristics in South and North Korea. Daily rainfall observed at the 65 stations in South Korea between 1963 and 2010 and the 27 stations in North Korea between 1973 and 2010 were analyzed. Rainfall Indicators for amount, extremes, frequency of rainfall were defined. Province-based indicators in the recent 10 years (i.e., between 2001 and 2010) were compared to those in the past (i.e., between 1963/1973 and 2000 for South/North Korea). In the recent 10 years, all the indicators except for the number of wet days (NWD) and 200-yr frequency rainfall (Freq200) increased in South Korea and all the indicators except for the annual mean daily rainfall over wet days (SDII) and annual total rainfall amount (TotalDR) decreased in North Korea. Furthermore, we performed the Mann-Kendall trend test based on the annual indicators. In some stations, decreasing trends in the past and increasing trends in the recent 10 years were found, and such opposite trends between two periods suggest he limitation in predicting and analyzing the rainfall characteristics based on the average. Results from this study can be used in analyzing the impact of climate change and preparing adaptation strategies for the water resources management.

키워드

참고문헌

  1. Ekstrom, M., Fowler, H. J., Kilsby, C. G. and Jones, P. D. (2005). "New estimates of future changes in extreme rainfall across the UK using regional climate model integrations. 2. Future estimates and use in impact studies." Journal of Hydrology, Vol. 300, No. 1-4, pp. 234-251. https://doi.org/10.1016/j.jhydrol.2004.06.019
  2. Hong, S. H., Kim, Y. G., Lee, W. H. and Chung, E. S. (2012). "Rainfall variations of temporal characteristics of Korea using rainfall indicators." Journal of Korea Water Resources Association, Vol. 45, No. 4, pp. 393-407 (in Korean). https://doi.org/10.3741/JKWRA.2012.45.4.393
  3. Hosking, J. R., Wallis, J. R. and Wood, E. F. (1985). "Estimation of the GEV distribution by the method of probability-Weighted moment." Technometrics, Vol, 27, No. 3, pp. 251-261. https://doi.org/10.1080/00401706.1985.10488049
  4. Jung, I. W., Bae, D. H. and Kim, G. (2010). "Recent trends of mean and extreme precipitation in Korea." International Journal of Climatology, Vol. 31, No. 3, pp. 359-370.
  5. Karl, T. R. and Eastering, D. R. (1999). "Climate extremes: Selected review and future research directions." Climate Change, Vol. 42, No. 10, pp. 309-325. https://doi.org/10.1023/A:1005436904097
  6. Kim, B. K. and Kim, B. S. (2009). "Analysis of impact climate change on extreme rainfall using B2 climate change scenario and extreme indices." Journal of the Korean Society of Civil Engineers, Vol. 27, No. 1B, pp. 23-33 (in Korean).
  7. Kwon, W. T., Boo, K. O. and Heo, I. H. (2007). "Climate change during the recent 10 years in Korea." Journal of Korea Water Resources Association, pp. 278-280 (in Korean).
  8. Lee, S. B., Kim, K. D. and Heo, J. H. (2004). "Change and trend analyses of rainfall data." Journal of Korea Water Resources Association, pp. 696-700 (in Korean).
  9. Martin, E. S. and Stedinger, J. R. (2000). "Generailized maximum likelihood GEV quantile estimator for hydrologic data." Water Resources Research, Vol. 33, No. 3, pp. 737-744.
  10. Moon, K. H., Kyoung, M. S. and Kim, H. S. (2010). "Rainfall frequency analysis using SIR algorithm and bootstrap methods." Journal of the Korean Society of Civil Engineers, Vol. 30, No. 4B, pp. 367-377 (in Korean).
  11. Nicholls, J. M. (1996). "Economic and social benefits of climatological information and services: A review of existing assessments." World Climate Applications and Services Programme, WMO/TD No. 78, p. 37.
  12. Oh, T. S., Kim, E. C., Moon, Y. I. and Ahn, J. H. (2009). "Characteristics analyses of timely rainfall events above probability precipitation on each frequency." Journal of the Korean Society of Civil Engineers, Vol. 29, No. 6B, pp. 513-526 (in Korean).
  13. Stedinger, J. R., Vogel, R. M. and Foufoula-Georgiou, E. (1993). Frequency analysis of extreme events, McGraw Hill, New York, N.Y.
  14. Sung, J. H. (2007). A study of flood frequency analysis guideline for Korea, Master's Thesis, Seoul National University (in Korean).
  15. Um, M. J., Cho, W. and Heo, J. H. (2010). "A comparative study of the adaptive choice of thresholds in extreme hydrologic events." Stochastic Environmental Research and Risk Assessment, Vol. 24, No. 5, pp. 611-623. https://doi.org/10.1007/s00477-009-0348-5