한국수자원학회논문집 (Journal of Korea Water Resources Association)

  • 제47권3호
  • /
  • Pages.257-267
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  • 2014
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  • 2799-8746(pISSN)
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  • 2799-8754(eISSN)
한국수자원학회 (Korea Water Resources Association)
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기후변화에 따른 우리나라 수문 기상학적 예측의 불확실성

Uncertainty of Hydro-meteorological Predictions Due to Climate Change in the Republic of Korea

  • Nkomozepi, Temba (Department of Agricultural Engineering, Kyungpook National University) ;
  • Chung, Sang-Ok (Department of Agricultural Engineering, Kyungpook National University)
  • 투고 : 2013.12.13
  • 심사 : 2014.02.05
  • 발행 : 2014.03.31
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초록

기후변화에 따른 기온과 강수량의 변화가 지표수자원에 미치는 영향은 수문기상학 연구에서 매우 중요하다. 본 연구에서는 기후변화가 우리나라 5대강 유역의 유출량에 미치는 영향을 분석하기 위하여 Catchment Modeling Toolkit의 네가지 수문기상 모형을 사용하였다. 세 가지 RCP 시나리오에 대하여 12개 GCM 모형으로부터 미래 2021에서 2040까지(2030s), 2051에서 2070까지 (2060s) 및 2081에서 2099까지(2090s) 기간에 대한 기후자료를 추출하였다. 이들 자료는 LARS-WG 방법으로 상세화 하였으며, 수문기상 모형들은 1999부터 2009까지의 관측 자료를 이용하여 보정 및 검정하였다. 본 연구에서 미래의 유출량은 사분위 범위, 전체범위 및 변동계수 값이 시공간적으로 및 수문기상 모형에 따라서 큰 불확실성을 나타내었다. 종합적으로 볼 때 미래의 유출량은 기준년도에 비하여 RCP2.6, RCP4.5 및 RCP8.5 시나리오에 대하여 10~24%, 7~30% 및 11~30% 증가할 것으로 예상되었다. 본 연구는 수분기상모형과 기후변화 예측의 불확실성을 고려한 미래의 유출량을 모의할 수 있는 방법을 제시하였다.

The impact of the combination of changes in temperature and rainfall due to climate change on surface water resources is important in hydro-meteorological research. In this study, 4 hydro-meteorological (HM) models from the Rainfall Runoff Library in the Catchment Modeling Toolkit were used to model the impact of climate change on runoff in streams for 5 river basins in the Republic of Korea. Future projections from 2021 to 2040 (2030s), 2051 to 2070 (2060s) and 2081 to 2099 (2090s), were derived from 12 General Circulation Models (GCMs) and 3 representative concentration pathways (RCPs). GCM outputs were statistically adjusted and downscaled using Long-Ashton Research Station Weather Generator (LARS-WG) and the HM models were well calibrated and verified for the period from 1999 to 2009. The study showed that there is substantial spatial, temporal and HM uncertainty in the future runoff shown by the interquartile range, range and coefficient of variation. In summary, the aggregated runoff will increase in the future by 10~24%, 7~30% and 11~30% of the respective baseline runoff for the RCP2.6, RCP4.5 and RCP8.5, respectively. This study presents a method to model future stream-flow taking into account the HM model and climate based uncertainty.

키워드

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