한국농공학회논문집 (Journal of The Korean Society of Agricultural Engineers)

  • 제54권5호
  • /
  • Pages.141-153
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  • 2012
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  • 1738-3692(pISSN)
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  • 2093-7709(eISSN)
한국농공학회 (The Korean Society of Agricultural Engineers)
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전국 확률강수량 산정을 위한 비정상성 빈도해석 기법의 적용

Application of a Non-stationary Frequency Analysis Method for Estimating Probable Precipitation in Korea

  • 김광섭 (경북대학교 건축토목공학부) ;
  • 이기춘 (경북대학교 건축토목공학부)
  • 투고 : 2012.07.05
  • 심사 : 2012.09.10
  • 발행 : 2012.09.30
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초록

In this study, we estimated probable precipitation amounts at the target year (2020, 2030, 2040) of 55 weather stations in Korea using the 24 hour annual maximum precipitation data from 1973 through 2009 which should be useful for management of agricultural reservoirs. Not only trend tests but also non-stationary tests were performed and non-stationary frequency analysis were conducted to all of 55 sites. Gumbel distribution was chosen and probability weighted moment method was used to estimate model parameters. The behavior of the mean of extreme precipitation data, scale parameter, and location parameter were analyzed. The probable precipitation amount at the target year was estimated by a non-stationary frequency analysis using the linear regression analysis for the mean of extreme precipitation data, scale parameter, and location parameter. Overall results demonstrated that the probable precipitation amounts using the non-stationary frequency analysis were overestimated. There were large increase of the probable precipitation amounts of middle part of Korea and decrease at several sites in Southern part. The non-stationary frequency analysis using a linear model should be applicable to relatively short projection periods.

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참고문헌

  1. Ahn, J. H., T. W. Kim, C. Yoo, and Y. N. Yoon, 2000. Analysis of the changes in rainfall quantile according to the increase of data period. Journal of Korea Water Resources Association 33(5): 569-580 (in Korean).
  2. Han, M. S., G. W. Choi, Y. J. Chung, and K. S. Ahn, 2006. Suggestion of probable rainfall intensity formula considering the pattern change of maximum rainfall at Incheon city. Journal of Korea Water Resources Association 39(6): 521-531 (in Korean). https://doi.org/10.3741/JKWRA.2006.39.6.521
  3. He, Y., A. Brodossy, and J. Brommundt, 2006. Non-stationary flood frequency analysis in southern Germany. The 7th International Conference on Hydro Science and Engineering, Philadelphia, USA.
  4. Jang, S. W., L. Seo, T. W. Kim, and J. H. Ahn, 2011. Non-stationary rainfall frequency analysis based on residual analysis. Journal of the Korean Society of Civil Engineers 31(5B): 449-457 (in Korean).
  5. Jee, Y. K., J. H. Lee, and S. D. Kim, 2012. Climate change impacts on agricultural water in Nakdong-river watershed. Journal of the Korean Society of Agricultural Engineers 54(3): 149-159 (in Korean). https://doi.org/10.5389/KSAE.2012.54.3.149
  6. Kwon, Y. M., and T. W. Kim, 2009. Derived I-D-F curve in Seoul using bivariate precipitation frequency analysis. Journal of the Korean Society of Civil Engineers 29(2B): 155-162 (in Korean).
  7. Kown, Y. M., J. W. Park, and T. W. Kim, 2009. Estimation of design rainfalls considering an increasing trend in rainfall data. Journal of the Korean Society of Civil Engineers 29(2B): 111-230 (in Korean).
  8. Lee, J. J., H. H. Kown, and K. N. Hwang, 2010. Concept of seasonality analysis of hydrologic extreme variables and design rainfall estimation using nonstationary frequency analysis. Journal of Korea Water Resources Association 43(8): 733-745 (in Korean). https://doi.org/10.3741/JKWRA.2010.43.8.733
  9. Renard, B., M. Lang, and P. Bois, 2006. Statistical analysis of extreme events in a non-stationary context via a bayesian framework: case study with peak-overthreshold data. Stoch Environ Res Risk Assess 21: 97-112. https://doi.org/10.1007/s00477-006-0047-4
  10. Sugahara, S., R.P.da. Rocha, and R. Silverira, 2009. Non-stationary frequency analysis of extreme daily rainfall in Sao Paulo, Brazil. International Journal of Climatology 29: 1339-1349. https://doi.org/10.1002/joc.1760
  11. Yoo, S. H., J. Y. Choi, S. H. Lee, Y. G. Oh, and N. Y. Park, 2012. The impact of climate change on paddy water demand and unit duty of water using highresolution climate scenarios. Journal of the Korean Society of Agricultural Engineers 54(2): 12-26 (in Korean).

피인용 문헌

  1. Non-Stationary Frequency Analysis of Future Extreme Rainfall using CMIP5 GCMs over the Korean Peninsula vol.18, pp.3, 2018, https://doi.org/10.9798/KOSHAM.2018.18.3.73