한국수자원학회논문집 (Journal of Korea Water Resources Association)

  • 제53권7호
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  • Pages.481-491
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  • 2020
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  • 2799-8746(pISSN)
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  • 2799-8754(eISSN)
한국수자원학회 (Korea Water Resources Association)
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계층적 베이지안 ARX 모형을 활용한 염분모의기법 개발

Development of salinity simulation using a hierarchical bayesian ARX model

  • 김호준 (세종대학교 건설환경공학과) ;
  • 신충훈 (한국농어촌공사 농어촌연구원) ;
  • 김태웅 (한양대학교(ERICA) 건설환경공학과) ;
  • 권현한 (세종대학교 건설환경공학과)
  • Kim, Hojun (Department of Civil and Environmental Engineering, Sejong University) ;
  • Shin, Choong Hun (Rural Research Institute, Korea Rural Community Corporation) ;
  • Kim, Tae-Woong (Department of Civil and Environmental Engineering, Hanyang University) ;
  • Kwon, Hyun-Han (Department of Civil and Environmental Engineering, Sejong University)
  • 투고 : 2020.03.11
  • 심사 : 2020.05.26
  • 발행 : 2020.07.31
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초록

새만금 농업단지가 조성됨에 따라 농업용수 공급이 요구되며, 농업적 측면에서 염분은 작물 재배시 생육에 영향을 미치는 항목으로 농업용수 공급시 철저한 관리가 요구된다. 따라서 농작물에 영향을 미치지 않는 농업용수 공급을 위해 염분계측을 통한 체계적인 농업용수 관리가 필요하다. 본 연구에서는 새만금호내에 관측되는 염분 시계열 자료를 모의하기 위해서 자기회귀모형을 기반으로 한 Two-Stage ARX 모형을 개발하였다. 층별로 나눠진 염분자료를 계층적 Bayesian기법을 활용하여 매개변수를 확률분포형으로 추정하였으며 염분모의의 불확실성을 제시하였다. 최적 모형을 선정하기 위해서 통계적 지표인 BIC값을 이용하였으며, 최종적으로 선정된 모형을 통해 양수장 인근 수역의 염분 모의 결과를 제시하였다.

The development of agricultural land at Saemangeum has required a significant increase in agricultural water use. It has been well acknowledged that salinity plays a critical role in the farming system. Therefore, a systematic study in salinity is necessary to better manage agricultural water. This study aims to develop a stochastic salinity simulation model that simultaneously simulates salinities obtained from different layers. More specifically, this study proposed a two-stage Autoregressive Exgeneous (ARX) model within a hierarchical Bayesian modeling framework. We derived posterior distributions of model parameters and further used them to obtain the predictive posterior distribution for salinities at three different layers. Here, the BIC values are used and compared to determine the optimal model from a set of candidate models. A detailed discussion of the model is provided.

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