• Title/Summary/Keyword: SRES B2 온난화가스 시나리오

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Climate Change effect on extreme event variability in Korea (기후변화가 한반도의 극한 사상 변동에 미치는 영향)

  • Kim, Bo-Kyung;Kim, Byung-Sik;Bae, Young-Hye
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.229-233
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    • 2008
  • 기상청은 작년 말 전국 60개 지점 기상관측 자료 분석결과로부터 2007년 평균기온($13.5^{\circ}C$)이 1998년($13.6^{\circ}C$)에 이어 두 번째로 높게 나타났으며, 2007년 전국 강수량(1498.5mm)은 평년보다 13.9% 증가한 것을 확인하였다. 그리고 한반도 기후변화의 특징으로 기상 사상의 극값이 증가하고 있음을 추가로 언급한 바 있다. 과거에는 발생하지 않았던 고강도의 강우, 기온 상승과 같은 극치 사상의 잦은 출현빈도가 원인이 되고 있다. 그러나 이들 현상들은 일정한 패턴과 규칙에 따라 발생하지 않아 판단기준이나 경향성을 객관화 또는 정량화하기에 무리가 따른다. 본 논문에서는 기후변화가 우리나라의 극한 사상 변동과 그 영향을 분석하기 위하여 SRES B2 온난화가스시나리오와 YONU CGCM 으로부터 모의된 강우 시계열 자료를 이용하여 미래의 극치 사상의 경향성을 계절에 따라 비교 분석하였다.

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Impact Assessment of Climate Change on Extreme Rainfall and I-D-F Analysis (기후변화가 극한강우와 I-D-F 분석에 미치는 영향 평가)

  • Kim, Byung-Sik;Kim, Bo-Kyung;Kyung, Min-Soo;Kim, Hung-Soo
    • Journal of Korea Water Resources Association
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    • v.41 no.4
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    • pp.379-394
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    • 2008
  • Recently, extreme precipitation events beyond design capacity of hydraulic system have been occurred and this is the causes of failure of hydraulic structure for flood prevention and of severe flood damage. Therefore it is very important to understand temporal and spatial characteristics of extreme precipitation events as well as expected changes in extreme precipitation events and distributional characteristics during design period under future climate change. In this paper, climate change scenarios were used to assess the impacts of future climate change on extreme precipitation. Furthermore, analysis of future extreme precipitation characteristics and I-D-F analysis were carried out. This study used SRES B2 greenhouse gas scenario and YONU CGCM to simulate climatic conditions from 2031 to 2050 and statistical downscaling method was applied to establish weather data from each of observation sites operated by the Korean Meteorological Administration. Then quantile mapping of bias correction methods was carried out by comparing the simulated data with observations for bias correction. In addition Modified Bartlett Lewis Rectangular Pulse(MBLRP) model (Onof and Wheater, 1993; Onof 2000) and adjust method were applied to transform daily precipitation time series data into hourly time series data. Finally, rainfall intensity, duration, and frequency were calculated to draw I-D-F curve. Although there are 66 observation sites in Korea, we consider here the results from only Seoul, Daegu, Jeonju, and Gwangju sites in this paper. From the results we found that the rainfall intensity will be increased and the bigger intensity will be occurred for longer rainfall duration when we compare the climate conditions of 2030s with present conditions.