DOI QR코드

DOI QR Code

A Study of Drought Spatio-Temporal Characteristics Using SPI-EOF Analysis

SPI 가뭄지수의 EOF 분석을 이용한 가뭄의 시공간적인 특성 연구

  • Chang Yung-Yu (Dept. of Civil & Environmental System Engineering., Univ. of Incheon) ;
  • Kim Sang-Dan (Dept. of Environmental System Engineering., Pukyung National University) ;
  • Choi Gye-Woon (Dept. of Civil & Environmental System Engineering., Univ. of Incheon)
  • 장연규 (인천대학교 토목환경시스템공학과) ;
  • 김상단 (부경대학교 환경시스템공학부) ;
  • 최계운 (인천대학교 토목환경시스템공학과)
  • Published : 2006.08.01

Abstract

This study introduced a method to evaluate the probability of a specific area to be affected by a drought of a given severity and shows Its potential for investigating agricultural drought characteristics. The method was applied to South Korea as a case study. The proposed procedure included Standardized Precipitation Index(SPI) time series, which were linearly transformed by the Empirical Orthogonal Functions(EOF) method. These EOFs were extended temporally with AutoRegressive Moving Average(ARMA) method and spatially with Kriging method. By performing these simulations, long time series of SPI can be simulated for each designed grid cell in whole area. The probability distribution functions of the area covered by a drought and the drought severity are then derived and combined to produce drought severity-area-frequency(SAF) curves.

본 연구에서는 우리나라 가뭄의 공간적인 특성을 파악하고 가뭄의 진행에 따른 피해규모를 산정하기 위하여 가뭄 심도-영향면적-생기빈도 곡선을 작성하여 제시하였다. 이를 위하여 전국의 기상관측소 지점별로 SPI를 산정하였으며, 산정된 지점별 SPI 자료를 이용하여 EOF 분석을 실시하였다. EOF 분석으로부터 추출된 핵심 공간패턴자료들은 다시 공간적으로는 Kriging 기법을 이용하여 보다 세밀한 공간정보를 갖는 자료로 확장되었으며, ARMA 모형을 이용하여 장기간의 가뭄사상을 모의발생하였다. 모의발생된 공간적인 장기간의 가뭄사상들로부터 특정 가뭄심도별 영향면적별 생기빈도 곡선을 작성할 수 있었다.

Keywords

References

  1. 김형수, 문장원, 김재형, 김중훈 (2000). '한강유역의 가뭄경향에 관한 연구' 한국수자원학회논문집, 한국 수자원학회, 33권, pp. 437-446
  2. 신현석, 박무종 (1999). '신경망을 이용한 우리나라의 시공간적 가뭄의 해석' 한국수자원학회논문집, 한국수자원학회, 32권, pp.15-29
  3. 유철상, 안재현, 류소라 (2004a). '포아송과정을 이용한 가뭄의 공간분포 분석', 한국수자원학회논문집, 한국수자원학회, 제37권 제10호, pp281-289 https://doi.org/10.3741/JKWRA.2004.37.10.813
  4. 유철상, 전경수, 김기욱 (2004b). '한강유역 강수의 산지효과 추정 -II. EOF분석-', 대한토목학회논문집, 대한토목학회, 제24권 제1B호, pp.41-46
  5. de Marsily, G. (1986). 'Quantitative Hydrogeology', Academic Press
  6. George H. Dunteman (1989). 'Principal Components Analysis', Sage Pubns
  7. Hege Risdal, Lena M. Tallaksen (2003). 'Estimation of regional meteorological and hydrological drought characteristics: a case study for denmark', Journal of Hydrology 281, pp. 230-247 https://doi.org/10.1016/S0022-1694(03)00233-6
  8. Henriques, A. G., M. J. J. Santos (1999). 'Regional Drought Distribution Model', Phys. Chem Earth(B), Vol. 24, No. 1-2, pp. 19-22 https://doi.org/10.1016/S1464-1909(98)00005-7
  9. Hisdal, H., Stahl, K., Tallaksen, L.M. and Demuth, S. (2001). 'Have streamflow droughts in Europe become more severe or frequent?', International Journal of Climatology, 21, pp. 317-333 https://doi.org/10.1002/joc.619
  10. Mckee, T. B., Doesken, N. J. and J. Kleist (1993). 'The relationship of drought frequency and duration to time scales. Pre prints', 8th Conference on Applied Climatology, 17-22 January, Anaheim, CA, pp. 179-184
  11. Palmer, W.C. (1965). 'Meteorological Drought', Research Paper No. 45, U.S.Weather Byreau, Washington, D.C
  12. Santos, M.A. (1983). 'Regional drought: a stochastic characterization', Journal of Hydrology, 66, pp. 183-211 https://doi.org/10.1016/0022-1694(83)90185-3
  13. Sen, Z. (1980). 'Regional drought and flood qrequency analysis: theoretical consideration', Journal of Hydrology, 46, pp. 256-279 https://doi.org/10.1016/0022-1694(80)90080-3
  14. Sen, Z. (1998). 'Probabilistic formulation of spaiio-temporal drought pattern', Theoretical and Applied Climatology, 61, pp. 197-200 https://doi.org/10.1007/s007040050064
  15. Shafer, B.A. and L.E. Dezman (1982). 'Development of a Surface Water Supply Index(SWSI) to assess the severity of drought conditions in snowpack runoff areas', Proceeding of the Western Snow Conference, pp. 164-175
  16. Tomozeju, R., Busuioc, A, Marletto, V.. Zinoni, F. and Cacciarnini C. (2000). 'Detection of Oonaes in the Summer Precipitation Time Series of the Region Emilia-Rormgna', Italy, Theor. Appl, Climatol., Vol.67, pp. 193-200 https://doi.org/10.1007/s007040070008
  17. Wall, Micheael E., Andreas Rechtsteiner, Luis M Rocha. (2003). 'Singular value decomposition and principal component analysis', in A Practical Approach to Microarray Data Analysis, D. P. Berrar, W. Dubitzky, M Granzow, eds. pp. 91-109
  18. Yoo, C. and Kim, S. (2004). 'EOF Analysis of surface soil moisture field variability', Advances in Water Resources, 27, pp. 831-842 https://doi.org/10.1016/j.advwatres.2004.04.003

Cited by

  1. A multimodel assessment of the climate change effect on the drought severity-duration-frequency relationship vol.27, pp.19, 2013, https://doi.org/10.1002/hyp.9390
  2. Hydrological Drought Analysis in Namhan River Basin, Korea vol.19, pp.8, 2014, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000889
  3. Analysis of climate change impacts on the spatial and frequency patterns of drought using a potential drought hazard mapping approach vol.34, pp.1, 2014, https://doi.org/10.1002/joc.3666
  4. Quantitative Characterization of Historical Drought Events in Korea - Focusing on Drought Frequency Analysis in the Five Major Basins - vol.48, pp.12, 2015, https://doi.org/10.3741/JKWRA.2015.48.12.1011
  5. An Application of Drought Severity-Area-Duration Curves Using Copulas-Based Joint Drought Index vol.45, pp.10, 2012, https://doi.org/10.3741/JKWRA.2012.45.10.1043
  6. Derivation of Drought Severity-Duration-Frequency Curves Using Drought Frequency Analysis vol.44, pp.11, 2011, https://doi.org/10.3741/JKWRA.2011.44.11.889
  7. Assessment of Meteorological Drought Indices in Korea Using RCP 8.5 Scenario vol.10, pp.3, 2018, https://doi.org/10.3390/w10030283