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Regional Frequency Analysis for Future Precipitation from RCP Scenarios

대표농도경로 시나리오에 의한 미래 강수량의 지역빈도해석

  • Received : 2015.02.02
  • Accepted : 2015.02.13
  • Published : 2015.02.28

Abstract

Variability of precipitation pattern and intensity are increasing due to the urbanization and industrialization which induce increasing impervious area and the climate change. Therefore, more severe urban inundation and flood damage will be occurred by localized heavy precipitation event in the future. In this study, we analyze the future frequency based precipitation under climate change based on the regional frequency analysis. The observed precipitation data from 58 stations provided by Korea Meteorological Administration(KMA) are collected and the data period is more than 30 years. Then the frequency based precipitation for the observed data by regional frequency analysis are estimated. In order to remove the bias from the simulated precipitation by RCP scenarios, the quantile mapping method and outlier test are used. The regional frequency analysis using L-moment method(Hosking and Wallis, 1997) is performed and the future frequency based precipitation for 80, 100, and 200 years of return period are estimated. As a result, future frequency based precipitation in South Korea will be increased by 25 to 27 percent. Especially the result for Jeju Island shows that the increasing rate will be higher than other areas. Severe heavy precipitation could be more and more frequently occurred in the future due to the climate change and the runoff characteristics will be also changed by urbanization, industrialization, and climate change. Therefore, we need prepare flood prevention measures for our flood safety in the future.

기후변화로 인해 강우 패턴과 강우강도의 변동성이 커지고 있으며, 도시화 및 산업화에 따른 불투수면적의 증가로 인해, 집중호우에 따른 도시침수와 홍수피해가 심화될 것으로 예상하고 있다. 따라서 본 연구에서는 홍수방어 대안 설정을 위한 설계 강수량(design rainfall) 또는 확률강수량에도 변화가 예상되므로 지역빈도해석을 통해 미래 확률강수량을 산정 및 분석하고자 한다. 기상청 산하 30년 이상의 관측치를 갖고 있는 58개 지점을 대상으로 과거 관측자료를 수집하고, 기후변화를 고려한 미래 확률강수량 추정을 위해 대표농도경로(RCP) 시나리오에 의한 강수량 자료를 이용하여 지역빈도해석을 실시하였다. 기후변화에 따른 강수량 자료의 편의를 제거하기 위하여 분위사상법(Quantile Mapping) 및 이상치 검정을 실시하였다. Hosking and Wallis(1997)가 제시한 L-moment방법을 이용하여 지역빈도 해석을 실시하였으며, 80년, 100년, 200년 빈도에 대한 미래 목표기간별 확률강수량을 산정하였다. 그 결과 21세기 말에 전국의 확률강수량이 현재의 관측 확률강수량에 비해 25 ~ 27% 상승하는 것으로 예측되며, 특히, 제주도 지역이 가장 크게 증가하는 것으로 분석되었다. 따라서 미래 기후변화로 인한 강수량의 증가와 도시화에 따른 유출특성 변화로 자연재해 발생 및 피해는 더욱 증가할 것으로 예상되며, 미래 홍수안전도를 위한 대비책 마련이 필요할 것으로 판단된다.

Keywords

References

  1. Fowler, HJ, Ekstrom, M, Kilsby, CG, and Jones, PD(2005). New estimates of future change in extreme rainfall across the UK using regional climate model integraiton: 1. Assessment of control climate, J. of Hydrology, 300(1-4), pp. 212-233. https://doi.org/10.1016/j.jhydrol.2004.06.017
  2. Hong, SJ, Kim, BS, Kim, HS and Kang NR(2012). Analysis of regional water resources characteristics through applying the climate change variability index using by RCP 8.5 scenario, J. of KOSHAM, Vol.13, No.11, pp. 704-710. [Korean Literature]
  3. Hosking, JRM and Wallis, JR(1997). "Regional Frequency Analysis", Cambridge University Press.
  4. IPCC(2007). Climate Change 2007, The Fourth Assessment Report (AR4) of The Intergovernmental Panel on Climate Change.
  5. IPCC(2014). Climate Change 2014, The Fifth Assessment Report (AR5) of The Intergovernmental Panel on Climate Change.
  6. Kang, NR, Kim, SJ, Lee, GH, Kim, DG, Kwak, JW, Noh, HS, and Kim, HS(2011). Impact of climate change on an urban drainage system, J. of wetlands research, Vol.13, No.3, pp.623-631. [Korea Literature]
  7. Kim, BS, Kim, BK, Kyoung, MS, and Kim, HS(2008). Impact assessment of climate change on extreme rainfall and I-D-F analysis, J. of Korea Water Resources Association, 41(5), pp. 129-141. [Korean Literature]
  8. Kim, BS, Sung, JH, Lee, BH, and Kim, DJ(2013). Evaluation on the impact of extreme droughts in South Korea using the SPEI and RCP8.5 climate change scenario, J. of KOSHAM, Vol.13, No.2, pp.97-109. [Korean Literature] https://doi.org/10.9798/KOSHAM.2013.13.2.097
  9. Kim, SJ, Kim, BS, Jun, HD, and Kim, HS(2010). The evaluation of climate change impacts on the water scarcity of the han river basin in South Korea using high resolution RCM data, J. of Korea Water Resources Association, Vol.43, No.3, pp.295-308 [Korean Literature] https://doi.org/10.3741/JKWRA.2010.43.3.295
  10. Kyoung, MS, Lee, JK, and Kim, HS(2009a). Downscaling technique of monthly GCM using daily precipitation generator, J. of Korea Society of Civil Engineers, 29(5), pp. 441-452. [Korean Literature]
  11. Kyoung, MS, Lee, YW, Kim, HS, and Kim, BS(2009b). Assessment of climate change effect on temperature and drought in Seoul : Based on the AR4 SRES A2 scenario, J. of the Korean Society of Civil Engineers, Vol.29, No.2B, pp.181-191 [Korean Literature]
  12. Lee, KH (2011). Estimation of expected flood damage considering uncertainty and under climate change, Ph.D Dissertation, Inha University, Incheon, Korea. [Korean Literature]
  13. NEMA(2014), Guideline for the design criteria of structural measures to prevent natural disasters under climate change. [Korea Literature]
  14. Oden, JT and Prudhommeb, S(2002). Estimation of modeling error in computational mechanics, J. of Computational Physics, 182(2), pp. 496- 515. https://doi.org/10.1006/jcph.2002.7183
  15. Otieno, VO and Anyah, RO(2013). CMIP5 simulated climate conditions of the Greater Horn of Africa(GHA).Part I : contemporary climate, Climate Dynamics, Vol.41, Issue 7-8, pp. 2081-2097. https://doi.org/10.1007/s00382-012-1549-z
  16. Otieno, VO and Anyah, RO(2013). CMIP5 simulated climate conditions of the Greater Horn of Africa(GHA).Part II: projected climate, Climate Dynamics, Vol.41, Issue7-8, pp. 2099-2113. https://doi.org/10.1007/s00382-013-1694-z
  17. Song, CW, Kim, YS, Kang, NR, Lee, DR, and Kim, HS(2013). Regional frequency analysis for rainfall under climate change, J. of wetlands research, Vol.15, No.1, pp. 125-137. [Korean Literature] https://doi.org/10.17663/JWR.2013.15.1.125
  18. Sung, JH, Kang, HS, Park, SH, Cho, CH, Bae, DH, and Kim, YO(2012). Projection of extreme precipitation at the end of 21st century over South Korea based on representative concentration pathways (RCP), Atmosphere, Korean Meteorological Society, Vol.22, No.2, pp. 221-231. [Korean Literature] https://doi.org/10.14191/Atmos.2012.22.2.221
  19. Villarini, G, Scoccimarro, E, and Gualdi, S(2013). Projections of heaby rainfall over the central United States based on CMIP5 models, Royal Meteorological Society, 14, pp. 200-205.

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