한국수자원학회논문집 (Journal of Korea Water Resources Association)

  • 제51권3호
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  • Pages.273-280
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  • 2018
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  • 2799-8746(pISSN)
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  • 2799-8754(eISSN)
한국수자원학회 (Korea Water Resources Association)
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인공위성과 재분석모델 자료의 다중 증발산 자료를 활용하여 최적 증발산 산정 연구

Estimation of the optimal evapotranspiration by using satellite- and reanalysis model-based evapotranspiration estimations

  • 백종진 (성균관대학교 건설환경연구소) ;
  • 정재환 (성균관대학교 수자원전문대학원) ;
  • 최민하 (성균관대학교 수자원전문대학원)
  • Baik, Jongjin (Center for Built Environment, Sungkyunkwan University) ;
  • Jeong, Jaehwan (Department of Water Resources, Graduate School of Water Resources, Sungkyunkwan University) ;
  • Choi, Minha (Department of Water Resources, Graduate School of Water Resources, Sungkyunkwan University)
  • 투고 : 2017.10.30
  • 심사 : 2017.12.21
  • 발행 : 2018.03.31
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초록

수문순환에서 증발산의 정확한 산정은 수문분석 및 이해에 있어서 매우 중요하다. 특히, 증발산을 산정하는 방법은 다양하며, 각각 방법 마다 장단점을 가지고 있다. 그렇기 때문에, 각 다른 방법으로 산전된 결과를 융합하여 최적의 증발산을 산출해야할 필요가 있다. 본 연구에서는 대표적으로 인공위성 기반의 증발산 모델인 revised RS-PM과 MS-PT 방법에서 산출된 증발산과 모델 자료인 Global Land Data Assimilation System (GLDAS)와 Global Land Evaporation Amsterdam Model (GLEAM)자료들을 융합함으로써 최적의 증발산을 산출하고자 하였다. 연구 지역인 청미천과 설마천에서의 플럭스 타워에서 융합된 증발산에 대해서 검증을 실시하였다. 통계학적인 결과(상관계수, 일치도, MAE, RMSE)를 확인하였을 때, 기존의 인공위성과 모델에서 산출되는 증발산 결과에 비해 향상되는 결괄르 나타내었다. 전반적으로 결과를 확인하였을 때, 융합된 자료가 보다 향상된 결과를 보일 수 있을 것이라는 것을 나타내었으며, 추후에는 더 많은 모델을 사용하여 융합함으로써 보다 정확한 결과를 산출 할 수 있을 것으로 기대된다.

Accurate estimation of evapotranspiration is mightily important for understanding and analyzing the hydrological cycle. There are various methods for estimating evapotranspiration and each method has its own advantages and limitations. Therefore, it is necessary to develop an optimal evapotranspiration product by combing different evapotranspiration products. In this study, we developed an optimal evapotranspiration by fusing two satellite- and model-based evapotranspiration estimates, including revised remote sensing-based Penman-Monteith (RS-PM) and Modified Satellite-Based Priestley-Taylor (MS-PT) methods, Global Land Data Assimilation System (GLDAS), and Global Land Evaporation Amsterdam Model (GLEAM). The statistical analysis (i.e., correlation coefficients, index of agreement, MAE, and RMSE) of combined evapotranspiration product showed to be improved compared to the individual model results. After confirming the overall results, in future studies, advanced data fusion techniques will be used to obtained improved results.

키워드

참고문헌

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