Journal of Korea Water Resources Association (한국수자원학회논문집)

Korea Water Resources Association (한국수자원학회)
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Assessment of Dual-Polarization Radar for Flood Forecasting

이중편파 레이더의 홍수예보 활용성 평가

  • Kim, Jeong-Bae (Dept. of Civil and Environmental Engrg., Sejong Univ.) ;
  • Choi, Woo-Seok (Dept. of Civil and Environmental Engrg., Sejong Univ.) ;
  • Bae, Deg-Hyo (Department of Civil and Environmental Engrg., Sejong Univ.)
  • 김정배 (세종대학교 건설환경공학과) ;
  • 최우석 (세종대학교 건설환경공학과) ;
  • 배덕효 (세종대학교 물자원연구소, 건설환경공학과)
  • Received : 2014.11.11
  • Accepted : 2015.02.25
  • Published : 2015.04.30
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Abstract

The objective of this study is to assess the dual-polarization radar for flood forecasting. First, radar rainfall has temporal and spatial errors, so estimated radar rainfall was compared with ground observation rainfall to assess accuracy improvement, especially, considering the radar range of observation and increase of the rainfall intensity. The results of this study showed that the error for estimated dual-polarization radar rainfall was less than single-polarization radar rainfall. And in this study, dual-polarization radar rainfall for flood forecasting was assessed using MAP (Mean Areal Precipitation) and SURR (Sejong University Rainfall Runoff) model in Namkang dam watershed. The results of MAP are more accurate using dual-polarization radar. And the results of runoff using dual-polarization radar rainfall showed that peak flow error was reduced approximately 12~63%, runoff volumes error was reduced by approximately 30~42%, and also the root mean square error decreased compared to the result of runoff using single-polarization radar rainfall. The results revealed that dual-polarization radar will contribute to improving the accuracy of the flood forecasting.

본 연구에서는 이중편파 레이더 추정강우의 홍수예보 활용성을 평가하였다. 비슬산 강우레이더 100 km 반경 내 AWS (Automatic Weather System) 123개 관측소를 대상으로 레이더 추정강우의 오차를 레이더 반경 및 강우강도의 증가에 따라 평가하였다. 이중편파 레이더 추정강우가 단일편파 레이더 추정강우에 비해 오차가 작은 것으로 확인되었다. 또한, 이중편파 레이더 추정강우의 홍수예보 활용성 평가 및 적용을 위해 유역평균강우량을 산정하여 평가하였다. 평가 결과, 이중편파 레이더 추정강우가 단일편파 레이더 추정강우에 비해 관측치에 유사하게 나타났으며, 강우형태에 관계없이 강우 강도가 강한 부분에서 이중편파 레이더의 정확도가 향상됨을 보였다. 그러나 차등반사도를 통해 산정된 강우는 과대추정되는 경향이 나타났다. 연속형 저류함수모형인 SURR 모형에 적용하여 남강댐 유역에 대한 유출해석을 수행하였다. 이중편파 레이더 추정강우를 통한 유출량이 단일편파 레이더 추정강우에 비해 유출용적오차는 약 12~63%, 첨두유량오차는 약 30~42% 감소하였으며, 평균제곱근오차 또한 감소하는 것으로 나타났다. 또한 이중편파 레이더에 의해 산정된 유역평균강우량을 유출모형에 적용할 경우 AWS 강우로부터 추정된 유출결과보다 더 우수한 경우가 있어 향후 홍수예보 활용 시 예보의 정확도 향상에 기여하리라 판단된다.

Keywords

References

  1. Allen, R.G., Jensen, M.E., Wright, J.L., and Burman, R.D. (1989). "Operational estimates of evapotranspiration." Agronomy Journal, Vol. 81, pp. 650-662. https://doi.org/10.2134/agronj1989.00021962008100040019x
  2. Ahn, S.R., Jang, C.H., Kim, S.H., Han, M.S., Kim, J.H., and Kim, S.J. (2013). "Discussion for the effectiveness of radar data through distributed storm runoff modeling." Journal of the Korean Society of Agricultural Engineers, Vol. 55, pp. 19-30. https://doi.org/10.5389/KSAE.2013.55.6.019
  3. Bae, D.H., Lee, B.J., and Jeong, I.W. (2003). "Runoff Curve Number Estimation for Cover and Treatment Classification of Satellite Image (I)-CN Estimation." Journal of Korea Water Resources Association, KWRA, Vol. 36, No. 6, pp. 985-997. https://doi.org/10.3741/JKWRA.2003.36.6.985
  4. Bae, D.H.,, Kim, J.H., and Yoon, S.S. (2005). "Hydrologic Utilization of Radar-Derived Rainfall (I) Optimal Radar Rinfall Estimation." Journal of Korea Water Resources Association, KWRA, Vol. 38, No. 12, pp. 1039-1049. https://doi.org/10.3741/JKWRA.2005.38.12.1039
  5. Bae, D.H.,, Tran, A.P., and Yoon, S.S. (2009). "A Method to Evaluate the Radar Rainfall Accuracy for Hydrological Application." Journal ofKorea Water Resources Association, KWRA, Vol. 42, No. 12, pp. 1039-1052. https://doi.org/10.3741/JKWRA.2009.42.12.1039
  6. Bae, D.H., and Lee, B.J. (2011). "Development of Continuous Rainfall-Runoff Model for Flood Forecasting on the Large-Scale Basin." Journal of Korea Water Resources Association, KWRA, Vol. 44, No. 1, pp. 51-64. https://doi.org/10.3741/JKWRA.2011.44.1.51
  7. Beck, M.B. (1987). "Water-quality modeling-a review of the analysis of uncertainty."Water Resources Research, Vol. 23, pp. 1393-1442. https://doi.org/10.1029/WR023i008p01393
  8. Bringi, V.N., and Chandrasekar, V. (2001). "Polarimetric Doppler Weather Radar: Principles and Applications." Cambridge University Press.
  9. Jeon, B.K., Lee, C.K., and Kim, Y.S. (2012). "Evaluation of Rainfall Measurement Capability of Dual Polarization Radar." Journal of Korean Society of Hazard Mitigation, KOSHAM, Vol. 12, No. 2, pp. 215-224. https://doi.org/10.9798/KOSHAM.2012.12.2.215
  10. Jeong, J.Y., Yu, M.S., and Yi, J.E. (2014). "Runoff Analysis Using Dual Polarization RADAR and Distributed Model." Journal of Korea Water Resources Association, KWRA, Vol. 47, No. 9, pp. 801-812. https://doi.org/10.3741/JKWRA.2014.47.9.801
  11. Jordan, P., Seed, A., May, P., and Keenan, T. (2003). "Evaluation of dual polarization radar for rainfallrunoff modelling: a case study in Sydney, Australia." IUGG2003 at Sapporo, IAHS, No. 282, pp. 11-18.
  12. Lee, B.J., Bae, D.H., and Jeong, C.S. (2003). "Runoff Curve Number Estimation for Cover and Treatment Classification of Satellite Image (II)-Application and Verification." Journal of Korea Water Resources Association, KWRA, Vol. 36, No. 6, pp. 999-1012. https://doi.org/10.3741/JKWRA.2003.36.6.999
  13. Lee, B.J. (2010). Development of Stochastic Continuous Storage Function Model with Distributed Ensemble Kalman Filtering Techniques. Ph. D. dissertation, Sejong University, Seoul, Korea, pp. 13-51.
  14. Lee, C.K. (2013). "Construction, Current status of the operation and utilization of rainfall radar observation network of the Ministry of Land, Transport and Maritime." The Journal of Korea Institute of Electronics Engineers, Vol. 40, No. 2, pp. 32-40.
  15. Ryzhkov, A.V., Giangrande, S.E., and Schuur, T.J. (2005). "Rainfall Estimation with a Polarimetric Prototype of WSR-88D." Journal of Applied Meteorology, Vol. 44, pp. 502-515. https://doi.org/10.1175/JAM2213.1
  16. Sun, X., Mein, R.G., Keenan, T.D., and Elliott J.F. (2000). "Flood estimation using radar and raingauge data." Journal of Hydrology, Vol. 239, pp. 4-18. https://doi.org/10.1016/S0022-1694(00)00350-4
  17. Yoon, S.S. (2011). Development of Optimal Radar Rainfall Estimation with Orographic Effect and Urban Flood Forecasting Application Technique. Ph. D. dissertation, Sejong University, Seoul, Korea, pp. 110-151.