Journal of Korea Water Resources Association (한국수자원학회논문집)

Korea Water Resources Association (한국수자원학회)
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Change Projection of Extreme Indices using RCP Climate Change Scenario

RCP 기후변화시나리오를 이용한 극한지수 변화 전망

  • Jeung, Se-Jin (Department of Urban& Environmental Disaster Prevention Engineering, Kangwon National University) ;
  • Sung, Jang Hyun (Transport and Maritime Affairs, Yeongsan Flood Control Office) ;
  • Kim, Byung-Sik (Department of Urban & Environmental Disaster Prevention Engineering, Kangwon National University)
  • 정세진 (국립강원대학교 도시.환경방재공학전공) ;
  • 성장현 (국토교통부 영산강홍수통제소) ;
  • 김병식 (국립강원대학교 소방방재학부, 방재전문대학원)
  • Received : 2013.07.03
  • Accepted : 2013.09.30
  • Published : 2013.11.30
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Abstract

The study uses a regional climate model to check future changes in extreme climate, to calculate extreme indexes presented by STARDEX, and to analyze the trends to predict the continuity and changes in the spatial distribution of extreme climate in the future. An analysis of extreme climate indices showed that they are likely to increase in the Seoul metropolitan area, in Gyeonggi-do, in Yongdong in Gangwon-do, and in the southern shore region of Korea. It is, however, forecasted to diminish in the central inland region. The analysis also showed that the average temperature in Korea will increase because of climate change. On the other hand, an analysis of extreme rainfall indexes showed that the trend of heavy rainfall threshold is 0.229 in Seogwipo, the greatest five-day rainfall is 5.692 in Seogwipo, and the longest dry period is 0.099 in Sokcho. Of extreme temperature indexes, the trend of Hotdays threshold is 0.777 in Incheon and the longest heat wave is 0.162 in Uljin. The Coldnight threshold is 0.075 in Inje and -0.193 in Tongyeong, according to the analysis.

본 논문에서는 미래 극한기후의 변화를 확인하고자 지역기후모형을 이용하여, STARDEX에서 제시한 극한지수를 계산하고 경향성 분석을 통해 미래 극한기후의 지속성과 공간적 분포의 변화양상을 파악하였다. 강수관련 극한지수를 분석한 결과, 수도권과 경기도, 강원도 영동지역, 남해안 지역에서 증가경향성이 확인되었고, 중부 내륙지역에서는 감소경향성이 전망되었다. 기온관련 극한지수를 분석한 결과 기후변화로 인해 미래 우리나라의 평균 기온이 현재보다 증가하는 것을 알 수 있었다. 강수관련 극한지수 중 집중호우 한계점은 경향성에 대한 기울기 값이 서귀포에서 0.229, 지속기간 5일 최대 강수량은 서귀포에서 5.692, 최대 건조지속기간은 속초에서 0.099로 확인되었다. 기온관련 극한지수 중 Hotdays 한계점의 경향성에 대한 기울기 값은 인천에서 0.077, 최대혹서기기간은 울진에서 0.162, Coldnight 한계점은 인제에서 0.075, 동결일수는 통영에서 -0.193으로 확인되었다.

Keywords

References

  1. Chang, H., and Kwon, W.-T. (2007). "Spatial variation of summer precipitation trends in South Korea" 1973-2005. Environ. Res. Lett., doi: 10.1088/1748-9326/2/4/045012, p. 9
  2. European Union. (2005). "STARDEX, STAtistical and Regional dynamical Downscaling of EXtremes for European regions." http://www.cru.uea.ac.uk/projects/stardex/
  3. Gyeonggi Research Institute. (2009). A Study on vulnerability to Climate Change in Gyeonggi-do.
  4. IPCC. (2007). Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovern mental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
  5. Joh, C.H., Lee, S.H., and Jang, D.H. (2012). "Extreme Climate Indices Appropriate for Climate Studies in Korea" Korean Meteorological Society Journal (Climate), KMS, Vol. 7, No. 2, pp. 136-145.
  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" Korea Society of Civil Engineers Journal, KSCE, Vol. 29, No. 1B, pp. 23-33.
  7. Kim, B.K., Kim, B.S., and Kim, H.S. (2008). "On the Change of Extreme Weather event using Extreme Indices" Korea Society of Civil Engineers Journal, KSCE, Vol. 28, No. 1B, pp. 41-53.
  8. Kim, B.S., Sung, J.H., Kang, H.S., and Cho, C.H. (2013). "Assessment of Drought Severity over South Korea using Standardized Precipitation Evapo-transpiration Index (SPEI)" Korea Water Resources Association Journal, KWRA, Vol. 45, No. 9, pp. 887-900. https://doi.org/10.3741/JKWRA.2012.45.9.887
  9. Kim, B.S., Yoon, Y.H., and Lee, H.D. (2011). "Analysis of Changes in extreme weather events Using Extreme Indices" Environmental Engineering Research, Vol. 16, No. 3, pp. 175-183. https://doi.org/10.4491/eer.2011.16.3.175
  10. Kim, S.J. (2011). Impact of Climate Change on Water Resources and Ecological Habitat in A River Basin. Doctoral degree dissertation, Inha University
  11. Kwon, H.H., Kim, B.S., Kim, B.K., and Yoon, S.Y. (2008). "Analysis on Spatio-Temporal Change of Extreme Rainfall Under Climate Change"
  12. Kyoung, M.S., Kim, H.S., and Kim, B.S. (2009). "Climate Change Effect on Daily Precipitation Frequency in Korea." Korea Water Resources Association Journal, KWRA, pp. 129-133.
  13. Lee, D.H., Kim, M.G., Kim, S., Kim, Y.H., Han, M.S., and Lee, W.S. (2012). "Climate Extreme Indices using on the High Resolution Climate Change Scenario in South Korea." Korean Meteorological Society Journal (Climate), KMS, pp. 119- 120.
  14. Lee, K.M., Baek, H.J., Park, S.H., Kang, H.S., and Cho, C.H. (2012). "Future Projection of Changes in Extreme Temperatures using High Resolution Regional Climate Change Scenario in the Republic of Korea." The Korean Geographical Society Journal, KGS, Vol. 47, No. 2, pp. 208-225.
  15. Seoul Development Institute. (2011). A Study on Establishment of Disaster Paradigm Against Extreme Weather.
  16. Sung, J.H., Kang, H.S., Park, S.H., Cho, C.H., Bae, D.H., and Kim, Y.O. (2012b). "Projection of Extreme Precipitation at the end of 21st Century over South Korea based on Representative Concentration Pathways (RCP)" Korean Meteorological Society Journal (atmosphere), KMS, Vol. 22, No. 2, pp. 221-231. https://doi.org/10.14191/Atmos.2012.22.2.221
  17. Sung, J.H., Kim, B.S., Kang, H.S., and Cho, C.H. (2012a). "Non-stationary Frequency Analysis for Extreme Precipitation based on Representative Concentration Pathways (RCP) Climate Change Scenarios." Korean Society of Hazard Mitigating Journal, KSHM, Vol. 12, No. 2, pp. 231-244. https://doi.org/10.9798/KOSHAM.2012.12.2.231

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