한국산학기술학회논문지 (Journal of the Korea Academia-Industrial cooperation Society)

한국산학기술학회 (The Korea Academia-Industrial cooperation Society)
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CAT-PEST 연계 모형의 침투 해석 방법에 따른 단기 유출 특성 분석

Analysis of Short-term Runoff Characteristics of CAT-PEST Connected Model using Different Infiltration Analysis Methods

  • 최신우 (과학기술연합대학원대학교 건설환경공학부) ;
  • 장철희 (한국건설기술연구원 수자원.하천 연구소) ;
  • 김현준 (과학기술연합대학원대학교 건설환경공학부)
  • Choi, Shinwoo (Department of Construction Environmental Engineering, University of Science & Technology) ;
  • Jang, Cheolhee (Hydro Science and Engineering Research Institute, Korea Institute of Civil Engineering and Building Technology(KICT)) ;
  • Kim, Hyeonjun (Department of Construction Environmental Engineering, University of Science & Technology)
  • 투고 : 2016.10.19
  • 심사 : 2016.11.10
  • 발행 : 2016.11.30
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초록

본 연구에서는 물리적 매개변수 기반의 물순환모형 CAT(Catchment hydrologic cycle Assessment Tool)을 매개변수 자동보정 기법인 PEST(Model-independent Parameter ESTimation)와 연계하여 단기 유출 특성을 분석하였다. CAT모형의 유출 모의 시 CAT모형에서 지원하는 3가지 침투 해석 방법((Rainfall excess, Green&Ampt and Horton)을 적용하였으며, 대표적인 단기 유출모형인 HEC-HMS를 비교 모델로 설정하여 모의 결과를 비교 분석하였다. 대상유역은 탄천의 지류인 운중천과 금토천이 포함된 판교 시험유역으로 유역면적은 $22.9km^2$이며, 유로연장은 9.2km이다. 2006, 2007년 중 누적 강우량 40mm이상에 해당하는 6개의 강우사상을 대상으로 모의를 실시하였다. 주요 매개변수를 대상으로 첨두유량, 첨두시간, 유출용적에 대한 민감도 분석 수행 후, PEST를 적용하여 유출 특성에 민감하게 반응하는 토양 관련 매개변수들에 대해 최적화를 수행하였다. 모의 결과 HEC-HMS의 경우 6개 강우사상에 대해 NSE가 0.63~0.91이었으며, CAT-PEST는 NSE 0.42~0.93의 모형 효율을 보였다. 선행토양함수조건에 따라 유출특성이 민감하게 반응하는 강우사상에 대해서는 HEC-HMS의 모의 정확도가 높았으나 강우 특성에 따라 유출특성이 민감하게 반응하는 경우에는 한계가 있는 것으로 보인다. 물리적 매개변수가 입력자료로 사용되는 CAT-PEST의 경우 다양한 유출특성을 가진 강우 사상에 대해 정밀한 유출 분석이 가능할 것으로 판단된다.

Catchment Hydrologic Cycle Assess Tool (CAT) is a model for hydrologic cycle assessment based on physical parameters. In this study, CAT was applied for short-term runoff simulation and connected with model-independent parameter estimation (PEST) for auto-calibrating parameters. The model performance was compared with HEC-HMS, which is widely used for short-term runoff simulation. The study area is the Pangyo Watershed ($22.9km^2$), which includes the Unjung-Cheon and Geumto-Cheon tributaries of the Tan-Cheon stream. Simulation periods were selected from six rainfall events of a two-year period (2006-2007). For the runoff simulation, CAT was applied using three types of infiltration methods (excess rainfall, Green and Ampt and Horton). Sensitivity analysis was carried out to select the parameters and then CAT was optimized using PEST. The model performance of HEC-HMS and CAT-PEST for the rainfall events were within an acceptable limit with Nash Sutcliffe efficiencies (NSE) of 0.63-0.91 and 0.42-0.93, respectively. The simulation results of HEC-HMS have high accuracy in the case of rainfall events that have a sensitive relationship between initial soil moisture conditions and runoff characteristics. The results of CAT-PEST indicated the possibility of reflecting a real runoff system using various physical parameters.

키워드

참고문헌

  1. S. H. Kim, M. J. Park, S. M. Kang, S. J. Kim, "Modeling Rainfall-Runoff Simulation System of JinWie Watershed using GIS based HEC-HMS Model," Journal of Geographic Information Studies, Korean Association of Geographic Information Studies, vol. 9, no. 4, pp.119-128, 2006.
  2. J. H. Lee, S. H. Yoon, "Runoff characteristics by urbanization in the Mushim stream watershed using HEC-HMS," Journal of Korean Society of Agricultural Engineers, KSAE, vol. 46, no. 3, pp. 43-54, 2004. DOI: https://doi.org/10.5389/KSAE.2004.46.3.043
  3. H. J. Kim, C. H. Jang, S. J. Noh, "Development and application of the catchment hydrologic cycle assessment tool considering urbanization (I) -model development-," Journal of Korea Water Resources Association Conference, KWRA, pp. 203-215, 2012.
  4. C. H. Jang, H. J. Kim, J. T. Kim, "Prediction of reservoir water level using CAT," Journal of Korean Society of Agricultural Engineers, KSAE, vol. 54, no. 1, pp. 27-38, 2012. DOI: https://doi.org/10.5389/KSAE.2012.54.1.027
  5. S. H. Lee, H. J. Cho, "Analysis of water cycle at main streams in Ulsan using CAT model," Journal of Korea Water Resources Association, KWRA, vol. 47, no. 1, pp. 1-10, 2014. DOI: https://doi.org/10.3741/JKWRA.2014.47.1.1
  6. C. S. Yoo, J. W. Shin, "Decision of storage coefficient and concentration time of observed basin using Nash -model's structure," Journal of Korea Water Resources Association, KWRA, vol. 47, no. 1, pp. 1-10, 2010. DOI: https://doi.org/10.3741/jkwra.2010.43.6.559
  7. G. H. Yoon, M. K. Park, B. M. Choi, Y. J. Kim, "Study on parameter optimization in Daegok & Sayun dam basins using HEC-HMS," Proceedings of the Korea Water Resources Association Conference, KWRA, pp. 1103-1107, 2009.
  8. J. Doherty, "Ground water model calibration using pilot points and regurlariation," Ground Water, vol. 41, no. 2, pp. 170-177, 2003. DOI: https://doi.org/10.1111/j.1745-6584.2003.tb02580.x
  9. J. Doherty, PEST: Model-Independent Parameter Estimation, pp.2-1-13-14, Watermark Numerical Computing, 2009.
  10. S. J. Noh, Y. S. Choi, C. K. Choi, K. T. Kim, "Parameter estimation of a distributed hydrologic model using parallel PEST: comparison of impacts by radar and ground rainfall estimates," Journal of Korea Water Resources Association, KWRA, vol. 46, no. 11, pp. 1041-1052, 2013. DOI: https://doi.org/10.3741/JKWRA.2013.46.11.1041
  11. J. H. Jeon, D. H. Choi, K. J. Lim, T. D. Kim, "Automatic calibration of stream flow and nutrients loads using HSPF-PEST at the Bochung a watershed," Journal of Korean Society of Agricultural Engineers, KSAE, vol. 52, no. 5, pp. 77-86, 2010. DOI: https://doi.org/10.5389/KSAE.2010.52.5.077
  12. Y. G. Lee, Runoff analysis of Osu stream basin connecting SWAT and HEC-HMS, pp. 10-84, Master dissertation, Inha University, 2011.
  13. J. H. Park, B. S. Kang, "Comparison of runoff analysis between GIS-based distributed model and lumped model for flood forest of dam watershed," Journal of Geographic Information Studies, Korean Association of Geographic Information Studies, vol. 9, no. 3, pp.171-182, 2006.
  14. S. C. Shin, T. K. Yim, Y. J. Moon, Y. S. Yoon, "Analysis of flood discharge in urban area," Proceedings of the Korea Water Resources Association Conference, KWRA, pp. 356-360, 2007.
  15. Gyeonggi Province, Seongnam city, Korea Land & Housing corporation, Seongnam-Pangyo Urban Planning disaster impact report : Final report, pp. 5-3 - 6-48, Gyeonggi Province, Seongnam city, Korea Land & Housing corporation, 2005.
  16. Hydrologic Engineering Center, Hydrologic Modeling System HEC-HMS, pp. 1-426, Hydrologic U.S. Army Corps of Engineers, Davis, CA, 2013.
  17. Korea Institute of Construction Technology, Development of Watershed Assessment Techniques for Healthy Water Cycle, KICT, pp. 147-197, 2006.
  18. Korea Institute of Construction Technology, Development of Watershed Assessment Techniques for Healthy Water Cycle, KICT, pp. 40-203, 2007.
  19. H. H. Kwon, J. G. Kim, J. S. Lee, B. K. Na, "Uncertainty assessment of single event rainfall-runoff model using Bayesian model," Journal of Korea Water Resources Association, KWRA, vol. 45, no. 5, pp. 505-516, 2012. DOI: https://doi.org/10.3741/JKWRA.2012.45.5.505
  20. H. J. Kim, C. H. Jang, S. J. Noh, User's Guideline for the Catchment Hydrologic Cycle Assessment Tool, pp.1-73, Sustainable Water Resources Research Center, 2010.
  21. W. H. Green, G. A. Ampt, "Studies of soil physics I-the flow of air and water through soils," Journal of Agriculture Science, Cambridge University Press, vol. 4, no. 1, pp. 1-24, 1911. https://doi.org/10.1017/S0021859600001441
  22. R. E. Horton, The role of infiltration in the hydrologic cycle, pp. 446-460, American Geophysical Union, Transaction, 1933.

피인용 문헌

  1. Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness? vol.10, pp.8, 2018, https://doi.org/10.3390/su10082837