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Evaluation of hydrological applicability for rainfall estimation algorithms of dual-polarization radar

이중편파 레이더의 강우 추정 알고리즘별 수문학적 적용성 평가

  • Received : 2020.10.26
  • Accepted : 2020.11.13
  • Published : 2021.01.31

Abstract

Recently, many studies have been conducted to use the radar rainfall in hydrology. However, in the case of weather radar, the beam is blocked due to the limitation of the observation such as mountain effect, which causes underestimation of the radar rainfall. In this study, the radar rainfall was estimated using the Hybrid Sacn Reflectivity (HSR) technique for hydrological use of weather radar and the runoff analysis was performed using the GRM model which is a distributed rainfall-runoff model. As a result of performing the radar rainfall correction and runoff simulation for 5 rainfall events, the accuracy of the dual-polarization radar rainfall using the HSR technique (Q_H_KDP) was the highest with an error within 15% of the ground rainfall. In addition, the result of runoff simulation using Q_H_KDP also showed an accuracy of R2 of 0.9 or more, NRMSE of 1.5 or less and NSE of 0.5 or more. From this study, we examined the application of the dual-polarization radar and this results can be useful for studies related to the hydrological application of dual-polarization radar rainfall in the future.

최근 레이더 강우량을 수문학적으로 활용하기 위한 연구가 활발하게 진행되고 있다. 하지만 기상레이더의 경우 관측 특성상 산악 효과 등으로 인한 관측 영역의 한계로 빔의 차폐가 발생하며, 이는 강우량의 과소 추정의 원인이 된다. 이에 본 연구에서는 기상 레이더의 수문학적 활용을 위해 Hybrid Surface Rainfall (HSR)기법을 활용하여 레이더 강우를 추정하였으며, 분포형 유출모형인 GRM 모형을 활용하여 유출 해석을 수행하였다. 5개의 강우 사상에 대해 강우 보정 및 유출 모의를 수행한 결과 HSR 기법을 활용한 이중편파 레이더 강우량(Q_H_KDP)이 지상 강우량의 15% 이내의 오차를 보이며 정확성이 가장 높았으며, 이를 활용하여 유출 해석을 수행한 결과 역시 R2 0.9 이상 NRMSE가 0.8 이하, NSE 0.5 이상의 정확도를 나타내었다. 본 연구를 통하여 이중편파 레이더 강우의 적용성을 확인할 수 있었으며, 향후 레이더의 수문학적 활용에 관련된 연구에 활용성이 클 것으로 판단된다.

Keywords

References

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