한국수자원학회논문집 (Journal of Korea Water Resources Association)

  • 제48권1호
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  • Pages.69-78
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  • 2015
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  • 2799-8746(pISSN)
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  • 2799-8754(eISSN)
한국수자원학회 (Korea Water Resources Association)
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기상학적 가뭄지수와 수문학적 가뭄지수의 비교

Comparison of Meteorological Drought and Hydrological Drought Index

  • 이보람 (국민안전처 국립재난안전연구원 재난정보연구실) ;
  • 성장현 (국토교통부 영산강홍수통제소 예보통제과) ;
  • 정은성 (서울과학기술대학교 건설시스템디자인공학과)
  • Lee, Bo-Ram (Ministry of Public Safety and Security, National Disaster Management Institute, Disaster Information Research Division) ;
  • Sung, Jang Hyun (Ministry of Land, Infrastructure and Transport, Yeongsan River Flood Control Office) ;
  • Chung, Eun-Sung (Department of Civil Engineering, Seoul National University of Science and Technology)
  • 투고 : 2014.10.29
  • 심사 : 2015.01.17
  • 발행 : 2015.01.31
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초록

본 연구는 기상학적 가뭄지수가 수문학적 가뭄에 대한 모사정도를 검토하였다. 기상학적 가뭄지수 중에서 강수량을 변수로 하는 SPI(Standardized Precipitation Index)와 강수량 및 증발산량을 변수로 하는 SPEI(Standardized Precipitation Evapotranspiration Index)를 이용하였고, 수문학적 가뭄 평가를 위하여 월 총 유입량과 하천수 가뭄지수인 SDI(Streamflow Drought Index)를 계산하여, 최종적으로 기상학적 가뭄지수와 수문학적 가뭄지수와의 상관정도를 분석하였다. 월별 상관계수 비교결과, 지속기간 270일에 기상학적 가뭄지수와 월 총 유입량과 상관정도가 가장 높아서 0.67로 나타났고 기상학적 가뭄지수로 SDI와의 상관정도는 0.72~0.87이었다. 연별 극한값을 비교한 결과, 월 총 유입량의 최저값과 기상학적 가뭄지수의 연관성은 거의 확인되지 않았다. 다만 SDI와 SPEI가 매우 높은 상관정도를 보였다. 기상학적 가뭄지수로 수문학적 극한가뭄에 해석하는 데에 한계가 있는 만큼 수문 가뭄해석이 목적이라면 유량자료가 직접 활용될 수 있는 가뭄지수가 필요하다.

In this study, meteorological drought indices were examined to simulate hydrological drought. SPI (Standardized Precipitation Index) and SPEI (Standardized Precipitation Evapotranspiration Index) was applied to represent meteorological drought. Further, in order to evaluate the hydrological drought, monthly total inflow and SDI (Streamflow Drought Index) was computed. Finally, the correlation between meteorological and hydrological drought indices were analyzed. As a results, in monthly correlation comparison, the correlation between meteorological drought index and monthly total inflow was highest with 0.67 in duration of 270-day. In addition, a meteorological drought index were correlated 0.72 to 0.87 with SDI. In compared to the annual extremes, the relationship between meteorological drought index and minimum monthly inflow was hardly confirmed. But SDI and SPEI showed a slightly higher correlation. There are limitation that analyze extreme hydrological drought using meteorological drought index. For the evaluation of the hydrological drought, drought index which included inflow directly is required.

키워드

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  1. MODIS DSI for Evaluation of the Local Drought Events in Korea vol.35, pp.6, 2015, https://doi.org/10.12652/Ksce.2015.35.6.1209
  2. Appraisal of drought characteristics of representative drought indices using meteorological variables 2017, https://doi.org/10.1007/s12205-017-1744-x
  3. Characteristics of the Han River Basin drought using SPEI and RDI vol.49, pp.3, 2016, https://doi.org/10.3741/JKWRA.2016.49.3.187
  4. Drought analysis of Cheongmicheon watershed using meteorological, agricultural and hydrological drought indices vol.49, pp.6, 2016, https://doi.org/10.3741/JKWRA.2016.49.6.509
  5. The probabilistic drought forecast based on ensemble using improvement of the modified surface water supply index vol.49, pp.10, 2016, https://doi.org/10.3741/JKWRA.2016.49.10.835
  6. Drought Assessment with the Community Land Model for 1951–2010 in East Asia vol.10, pp.6, 2018, https://doi.org/10.3390/su10062100
  7. Estimating Quantified Hydrological Input Value for Hydrological Drought vol.18, pp.5, 2018, https://doi.org/10.9798/KOSHAM.2018.18.5.11
  8. Statistical Analysis of Changes in Reservoir Storage According to Standard Precipitation Evapotranspiration Index (SPEI) and Dam Water Release vol.18, pp.2, 2018, https://doi.org/10.9798/KOSHAM.2018.18.2.409
  9. The probabilistic drought prediction using the improved surface water supply index in the Korean peninsula vol.50, pp.1, 2018, https://doi.org/10.2166/nh.2018.045