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http://dx.doi.org/10.5389/KSAE.2004.46.5.015

Comparative Analysis of Regional and At-site Analysis for the Design Rainfall by Gamma and Non-Gamma Family (Ⅱ)  

Lee , Soon-Hyuk (충북대학교 농과대학 지역건설공학과)
Ryoo, Kyong-Sik (충북대학교 농과대학 지역건설공학과)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.46, no.5, 2004 , pp. 15-26 More about this Journal
Abstract
This study was conducted to derive the regional design rainfall by the regional frequency analysis based on the regionalization of the precipitation. The optimal regionalization of the precipitation data were classified by the above mentioned regionalization for all over the regions except Jeju and Ulleung islands in Korea. Design rainfalls following the consecutive duration were derived by the regional analysis using the observed and simulated data resulted from Monte Carlo techniques. Relative root mean square error (RRMSE), relative bias (RBIAS) and relative reduction (RR) in RRMSE for the design rainfall were computed and compared between the regional and at-site frequency analysis. It has shown that the regional frequency analysis procedure can substantially more reduce the RRMSE, RBIAS and RR in RRMSE than those of at-site analysis in the prediction of design rainfall. Consequently, optimal design rainfalls following the classified regions and consecutive durations were derived by the regional frequency analysis using Generalized extreme value distribution which was identified to be more optimal one than the other applied distributions. Diagrams for the design rainfall derived by the regional frequency analysis using L-moments were drawn according to the regions and consecutive durations by GIS techniques.
Keywords
L-moment; LH-moment; Monte Carlo simulation; Regional frequency analysis; Design rainfall; GIS techniques;
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  • Reference
1 Salvo, E. S., 1986. Application of Regional Flood Frequency Analysis to Philippine Rivers Proc. of the Int. Symposium on Flood Frequency and Risk Analysis in Hydrologic Frequency Modelling edited by Singh, V.P.: 51-66
2 Schaefer, M. G.. 1990. Regional Analysis of Precipitation Annual Maxima in Washington State Water Resources Research 26(1): 119-131   DOI
3 Wang, Q. J., 1997. LH Moments for Statistical Analysis of Extreme Events Water Resources Research 33(12): 2841-2848   DOI   ScienceOn
4 Abdulaziz S. A. and A. A. Quraishi. 1986. Regional Flood Frequency for Some Selected Basins in Saudi Arabia Proc. of the Int. Symposium on Flood Frequency and Risk Analysis in Hydrologic Frequency Modelling edited by Singh. V.P.,: 27-49
5 Ferro, V. and P. Porto, 1999. Regional Analysis of Rainfall-Depth-Duration Equation for South Italy Journal of Hydrologic Engineering 4(4): 326-336   DOI
6 Hosking, J. R M., 1990. L-Moments : Analysis and Estimation of Distributions using Linear Combinations of Order Statistics J of. R. Stat. Soc.. Ser. B 52(2): 105-124
7 Hosking, J. R. M. and J. R. Wallis, 1997. Regional Frequency Analysis Cambridge University Press
8 Kumar, R., R. D. Singh and S. M. Seth, 1999. Regional Flood Formulas for Seven Subzones of Zone 3 of Indea Journal of Hydrologic Engineering 4(3): 240-244   DOI
9 Lee, S. H.. J. H. Park, K. S. Ryoo, H. K. Jee, T. K. Jeon and Y. H. Shin. 2001. Estimation of Design Rainfall by the Regional Frequency Analysis using Higher Probability Weighted Moments and GIS Techniques(I) Journal of the Korean Society of Agricultural Engineers 43(4): 57-68 (in Korean)   과학기술학회마을
10 Lee, S. H., J. H. Park, K. S. Ryoo, H. K. Jee, T. K. Jeon and Y. H. Shin, 2001b. Estimation of Design Rainfall by the Regional Frequency Analysis using Higher Probability Weighted Moments and GIS Techniques(II) Journal of the Korean Society of Agricultural Engineers 43(5): 70-82 (in Korean)   과학기술학회마을
11 Naghavi, B. and F. X. Yu, 1995. Regional Frequency Analysis of Extreme Precipitation in Louisiana Journal of Hydraulic Engineering 121(11): 819-827   DOI   ScienceOn
12 Pilon, P. J. and K. Adamowski, 1992. The Value of Regional Information to Flood Frequency Analysis using the Method of L-Moments Can. Journal of Civil. Engineering 19: 137-147   DOI