한국수자원학회논문집 (Journal of Korea Water Resources Association)

  • 제56권1호
  • /
  • Pages.1-9
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  • 2023
  • /
  • 2799-8746(pISSN)
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  • 2799-8754(eISSN)
한국수자원학회 (Korea Water Resources Association)
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연중 하천유량 관리를 위한 기간 구분 및 관리범위 설정 방안

The method of period division and range setting for annual river discharge management

  • 박태선 (국토연구원 국토환경.자원연구본부)
  • Park, Tae Sun (Department of National Territorial Environment & Resources Research, Korea Research Institute for Human Settlement)
  • 투고 : 2022.08.01
  • 심사 : 2022.10.25
  • 발행 : 2023.01.31
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초록

현재까지는 연중 하천유량의 관리기간은 홍수기와 비홍수기로 구분하고, 관리해야 할 유량의 범위는 갈수량에서 홍수량까지로 폭넓게 규정하고 있다. 본 연구에서는 4대강 8개 지점의 장기간 일평균유량 자료를 이용하여1년을 유량의 분산과 평균이 동질한 기간들로 구분하고, 기간별 유량의 평균과 표준편차를 이용하여 유량의 관리범위를 설정하는 방안을 제시한다. 연구결과, 연중 관리기간은 지점에 따라 차이는 있으나 홍수기 이전, 홍수기, 홍수기 이후로 구분할 수 있었으며, 기간을 세분화하면 최소유량에 대한 최대유량의 비도 낮아지는 것을 알 수 있었다. 또한, 연중 일평균유량이 갈수량 이상 홍수량 이하가 되도록 기간별 일평균유량의 관리범위를 기간별 일평균유량의 평균 ±표준편차로 설정하는 방안도 제시하였다.

Until now, the periods of river discharge management throughout a year are divided into flood and non-flood periods, and the ranges of discharges to be managed are broadly defined from drought discharge to flood discharge. In this study, using the long-term daily discharge data from 8 points of four major rivers, we propose a method of dividing the year into several periods with the homogeneous mean and dispersion of discharges. As a result of the study, the period of through a year was different depending on the point, but it could be divided into pre-flood period, flood period, and post-flood period. And the more subdivided the period, the more decreased the ratio of the maximum discharge to the minimum discharge. In addition, in order to ensure that the discharge for a year is more than the drought discharge and less than the flood discharge, to set the range of discharge management per period as the average flow ± standard deviation for each period is proposed.

키워드

과제정보

이 논문은 2020년도 국토연구원의 연구과제(수시 20-04) 중 일부 내용을 수정·보완한 것임.

참고문헌

  1. Brooks, C., and Carruthers, N. (1953). Handbook of statistical methods in meteorology. First Edition, Her Majesty's Stationery Office, London, UK.
  2. Gu, S., Xiao, C., Cui, W., Gao, L., and Li, Z. (2014). "The division of flood season of Xianjiang river basin based on Fisher optimal division method." 6th International Conference on Flood Management, ABRHidro, Sao Paulo, Brazil, PAP014966.
  3. Huntsberger, D. (1961). Elements of statistical inference. Allyn and Bacon, Chicago, IL, U.S.
  4. Jang, W.S., and Son, W. (2022). "WBS algorithm for consistent multiple change points detection via the FLSA." Journal of the Korea Data & Information Science Society, Vol. 33, No. 5, pp. 801-815. doi: 10.7465/JKDI.2022.33.5.801.
  5. Jung, I.W., Kim, D.Y., and Park, J.Y. (2019). "Analysis of drought risk in the upper river basins based on trend analysis result." Journal of the Korea Water Resources Association, Vol. 47, No. 8, pp. 671-684. doi: 10.5389/KSAE.2019.61.1.021.
  6. Kim, S.U., and Lee, C.E. (2018). "Identification of yearly variation in Hwacheon dam inflow using trend analysis and hydrological sensitivity method." Journal of the Korea Water Resources Association, Vol. 51, No. 5, pp. 425-438. doi: 10.3741/JKWRA. 2018.51.5.425.
  7. Lee, H.Y., and Noh, S.C. (2012). Advanced statistical analysis. Bubmoonsa, p. 93.
  8. Lee, S.H., Kim, S.U, Lee, Y.S, and Sung, J.H. (2014). "Intercomparison of change point analysis methods for identification of inhomogeneity in rainfall series and applications." Journal of the Korea Water Resources Association, Vol. 47, No. 8, pp. 671-684. doi: 10.3741/JKWRA.2014.47.8.671.
  9. Li, T., and Yongbo, Z. (2018). "Considering abrupt change in rainfall for flood season division: A case study of the Zhangjia Zhuang reservoir, based on a new model." Water, Vol. 10, No. 9, 1152. doi: 10.3390/w10091152.
  10. National Institute of Standards and Technology (NIST) (2022). Information technology laboratory, accessed 14 September 2022, .
  11. Oh, J.S., Kim, H.S., and Seo, B.H. (2006). "Trend and shift analysis for hydrologic and climate series." Journal of the Korean Society of Civil Engineers, Vol. 26, No. 4B, pp. 355-362.
  12. Park, T.S. (2021a). "Flow regime analysis method by using discharge Gini coefficient." Journal of the Korea Water Resources Association, Vol. 54, No. 12, pp. 1223-1232. doi: 10.3741/JKWRA. 2021.54.12.1223.
  13. Park, T.S. (2021b). "Improved method of the conventional flow duration curve by using daily mode discharges." Journal of the Korea Water Resources Association, Vol. 54, No. 6, pp. 355-363. doi: 10.3741/JKWRA.2021.54.6.355.
  14. Wang, H., Xiao, W., Wang, J., Wang, Y., Huang, Y., and Hou, B. (2016). "The impact of climate change on the duration and division of flood season in the Fenhe river basin, China." Water, Vol. 8, No. 3, 105. doi: 10.3390/W8030105.
  15. Wu, P.L., Li, J., and Wang, J.Y. (2016). "Flood season division based on improved set pair analysis." 2016 International Conference on Applied Mathematics and Mechanics (ICAMM 2016), Bangkok, Thailand, pp. 396-400.
  16. Zhou, C.R., van Nooijen, R., Kolechkina A., and Hrachowitz, M., (2019). "Comparative analysis of nonparametric change-point detectors commonly used in hydrology." Hydrological Sciences Journal, Vol. 64, No. 14, pp. 1690-1710. doi: 10.1080/02626667. 2019.1669792.