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Spatial Analysis of Flood Rainfall Based on Kriging Technique in Nakdong River Basin

크리깅 기법을 이용한 낙동강 유역 홍수강우의 공간해석 연구

  • 윤강훈 (한국건설기술연구원 수자원연구부) ;
  • 서봉철 (한국건설기술연구원 수자원연구부) ;
  • 신현석 (부산대학교 토목공학과)
  • Published : 2004.03.01

Abstract

Most of hydrological analyses in the field of water resources are launched by gathering and analyzing rainfall data. Several methods have been developed to estimate areal rainfall from point rainfall data and to fill missing or ungaged data. Thiessen and Reciprocal Distance Squared(RDS) methods whose parameters are only dependent on inter-station distance are classical work in hydrology, but these techniques do not provide a continuous representation of the hydrologic process involved. In this study, kriging technique was applied to rainfall analysis in Nakdong river basin in order to complement the defects of these classical methods and to reflect spatial characteristics of regional rainfall. After spatial correlation and semi-variogram analyses were performed to perceive regional rainfall property, kriging analysis was performed to interpolate rainfall data for each grid Thus, these procedures were enable to estimate average rainfall of subbasins. In addition, poor region of rainfall observation was analyzed by spatial interpolation error for each grid and mean error for each subbasin.

수자원 분야에서 대부분의 수문해석은 강우자료의 수집 및 분석으로부터 시작되며, 지점 강우량으로부터의 면적 평균강우량 추정 및 결측치에 대한 자료보완 기법은 여러 가지가 있다. 이러한 강우분석 기법으로 기존에 사용되어온 티센법 및 RDS법은 전통적인 자료보완 기법으로 매개변수의 특성이 관측소간 거리에만 의존하며, 공간적인 연속성을 가질 수 없다는 단점이 있다. 본 연구에서는 이러한 전통 기법들의 단점을 보완하고 강우의 공간적인 통계특성을 반영하기 위하여 크리깅 기법을 낙동강 유역의 강우해석에 적용하였다. 공간상관 및 반분산 분석으로 낙동강 유역 강우의 지역적인 통계특성을 파악하였으며, 낙동강 유역 격자시스템에 대한 크리깅 분석을 통하여 공간격자 강우량 및 소유역별 평균강우량을 산정하였다. 또한, 크리깅 기법의 공간추정 오차 분석으로 시강우량에 대한 격자별 내삽오차 및 소유역별 평균오차를 제시하여 낙동강 유역의 강우관측 취약지역을 파악할 수 있었다.

Keywords

References

  1. 건설교통부 낙동강홍수통제소 (2000). 낙동강홍수예경보
  2. 건설부 낙동강홍수통제소 (1986). 낙동강홍수예경보 프로그램 개발 최종보고서
  3. 신현석, 박무종 (1999). '신경망 기법을 이용한 연평균 강우량의 공간 해석', 한국수자원학회 논문집, 한국수자원학회 논문집, 한국수자원학회, 제32권, 제1호, pp. 3-13
  4. 한국건설기술연구원 (1991). 면적우량과 강우의 공간변화해석 -면적우량 환산계수를 중심으로-
  5. Abtew W., Obeysekera J., and Shih G. (1993). 'Spatial analysis for monthly rainfall in south Florida', Water Resource Bulletin, Vol. 29, No. 2, pp. 179-188
  6. Drozdov, D. A. and A. A. Sephelevskii (1946). 'The theory of interpolation in a stochastic field of meterological elements and its application to meterological maps and network regionalization problems(in Russian).' Trudy NIU GUGMS, Vol. 1, No. 18
  7. Goovaerts, P. (2000). 'Geostatistical approaches for incorporating elevation into the spatial inter-polation of rainfall.', Journal of Hydrology, Vol. 228, pp. 113-129 https://doi.org/10.1016/S0022-1694(00)00144-X
  8. Guillermo Q. Tabios III and Jose D. Salas (1985).' A comparative analysis of techniques for spatial interpolation of precipitation', Water Resources Bulletin, Vol. 21, No. 3, pp. 365-380 https://doi.org/10.1111/j.1752-1688.1985.tb00147.x
  9. Jose D. Salas, Ricardo A. Smith, Guillermo Q. Tabios, and Jun-Haneng Heo (1994). Statistical computer-techniques in water resources and environmental engineering, Department of civil engineering colorado state university
  10. Joseph A. Hevesi, Jonathan D. Istok, and Alan L. Flint (1992). 'Precipitation estimation in mountainous terrain using multivariate geostatistics. Part I: Structural analysis', Journal of Applied Meterology, Vol. 31, pp. 661-676 https://doi.org/10.1175/1520-0450(1992)031<0661:PEIMTU>2.0.CO;2
  11. Lebel, T., G. Bastin, C. Obled, and J. D. Creutin (1987) 'Accuracy of areal rainfall estimation: A case study.', Water Resources Research, Vol. 23, No. 11, pp. 2123-2134 https://doi.org/10.1029/WR023i011p02123
  12. Matheron, G (1971). The theory of regionalized variables and its applications, Cahiers du Centre de Morphologie Mathematique, Ecole des Mines, Fountainbleau, France
  13. Thiessen, A. H. (1911), 'Precipitation averages for large areas', Monthly Weather Review, Vol. 39, No. 7, pp. 1082-1084 https://doi.org/10.1175/1520-0493(1911)39<1082b:PAFLA>2.0.CO;2

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