Browse > Article
http://dx.doi.org/10.3741/JKWRA.2006.39.8.669

Spatial Distribution Modeling of Daily Rainfall Using Co-Kriging Method  

Hwang Sye-Woon (Research Institute of Agriculture and Life Science, Seoul National Univ.)
Park Seung-Woo (Dept. of Rural Systems Engrg., Seoul National Univ.)
Jang Min-Won (Research Institute of Agriculture and Life Science, Seoul National Univ.)
Cho Young-Kyoung (Dept. of Rural Systems Engrg., Seoul National Univ.)
Publication Information
Journal of Korea Water Resources Association / v.39, no.8, 2006 , pp. 669-676 More about this Journal
Abstract
Hydrological factors, especially the spatial distribution of interpretation on precipitation is often topic of interest in studying of water resource. The popular methods such as Thiessen method, inverse distance method, and isohyetal method are limited in calculating the spatial continuity and geographical characteristics. This study was intended to overcome those limitations with improved method that will yield higher accuracy. The monthly and yearly precipitation data were produced and compared with the observed daily precipitation to find correlation between them. They were then used as secondary variables in Co-kriging method, and the result was compared with the outcome of existing methods like inverse distance method and kriging method. The comparison of the data showed that the daily precipitation had high correlation with corresponding year's average monthly amounts of precipitation and the observed average monthly amounts of precipitation. Then the result from the application of these data for a Co-kriging method confirmed increased accuracy in the modeling of spatial distribution of precipitation, thus indirectly reducing inconsistency of the spatial distribution of hydrological factors other than precipitation.
Keywords
geostatistical analysis; Co-kriging; spatial distribution;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 원태연, 정성원 (2001). 통계조사분석, 자유아카데미, pp. 297-304
2 Trevor C. Bailey and Anthony C. Gatrell (1995). Interactive Spatial Data Analysis, Longman Scientific & Technical., pp. 208-217, 166-199
3 이종태, 이상태 (1997). 도시유역에서의 강우 공간분포 및 소유역분할이 유출특성에 미치는 영향, 한국수자원학회 논문집, 한국수자원학회, 제30권, 제2호, pp. 177-191   과학기술학회마을
4 윤강훈, 서봉철, 신현석 (2004). 크리깅 기법을 이용한 낙동강 유역 홍수강우의 공간해석 연구, 한국수자원학회 논문집, 한국수자원학회, 제37권, 제2호, pp. 233-240   과학기술학회마을   DOI   ScienceOn
5 Nicks, A.D. (1982). Space-Time Quentification of Rainfall Inputs for Hydrological Transport Models, Journal of Hydrology, Vol. 59, pp   DOI   ScienceOn
6 윤용남, 김종훈, 유철상, 김상단 (2002). 공간분포된 강우를 사용한 유출 매개변수 추정 및 강우오차가 유출계산에 미치는 영향분석, 한국수자원학회 논문집, 한국수자원학회, 제35권, 제1호, pp. 1-12   과학기술학회마을   DOI   ScienceOn
7 Willson, C. B., Valdes, J, B., and Rodrigues-Itube, I. (1979). On the Influence of the Spatial Distribution of Rainfall on Storm Runoff, Water Resour. Res., Vol. 15 (2), pp. 321-328   DOI
8 Tabios, G.Q., and Salas J,D. (1985). A Comparative Analysis of Techniques for Spatial Interpolation of Precipitation, Water Resources Bulletin, Vol. 21 (3), pp. 365-380   DOI
9 유철상, 정광식 (2001). 면적평균강우량의 추정 및 추정 오차, 한국수자원학회 논문집, 한국수자원학회, 제 34권, 제4호, pp. 317-326   과학기술학회마을
10 이재형, 유양규 (2002). 면적강우량 산정을 위한 관측망 최적설계 연구, 한국수자원학회 논문집, 한국수자원 학회, 제 35권, 제 2호, pp. 187-194   과학기술학회마을   DOI   ScienceOn
11 Abtew W., Obeysekera J., and Shih G. (1993). Spatial Analysis for Monthly Rainfall in South Florida, Water Resources Bulletin, Vil.. 29, No.2, pp. 179-188   DOI   ScienceOn
12 Goovaerts P. (1999). Using Elevation to Aid the Geostatistical Mapping of Rainfall Erosivity, Catena, Vol. 34 (3-4), pp, 227-242   DOI   ScienceOn
13 Goovaerts P. (2000). Geostatistical Approaches for Incorporating Elevation into the Spatial Interpolation of Rainfall, Journal of Hydrology, Vol. 228 (1-2), pp. 113-129   DOI   ScienceOn
14 Kyriakidis, P.C., J.W. Kim, and Miller, N.L. (2001). Geostatistical Mapping of Precipitation from Rain Gauge Data Using Atmospheric and Terrain Characteristics, American Meteorological Society, pp, 1855-1877   DOI   ScienceOn
15 Matheron, G. (1970). 'The Theory of Regionalized Variables and its Applications', Coh Centre Morphol. Mathl.,5
16 Milly, P.P.D., Eagleson, P.S. (1988). Effect of Storm Scale on Surface Runoff Volume, Water Resour. Res., Vol. 24, No.4, pp, 249-260   DOI
17 Phillips, D.L., J. Dolph and D. Marks (1992). A comparison of geostatistical procedures for spatial analysis of precipitations in mountainous terrain, Agric. and Forest Meteor., 58, pp. 119-141   DOI   ScienceOn
18 Subyani AM (2004). Geostatistical Study of Annual and Seasonal Mean Rainfall Patterns in Southwest Saudi Arabia, Hydrological Sciences Journal, Vol. 49 (5), pp. 803-817   DOI   ScienceOn