DATA ASSIMILATION OF RIVER WATER LEVELS BY DISTRIBUTED HYDROLOGICAL MODELS BASED ON OPTIMAL INTERPOLATION METHOD

• MIYAKE Shintaro

  京都大学大学院工学研究科

• SAYAMA Takahiro

  京都大学 防災研究所

• TAKARA Kaoru

  京都大学 防災研究所

Bibliographic Information

Other Title

• 最適内挿法による分布型水文モデルの河川水位データ同化法

Abstract

 Distributed hydrogical models have been developed which simultanouesly analyse rainfall-runoff process and inundation process within a whole basin. This study proposes a data assimilation method of river water levels using optimal interpolation, aiming the real-time utilization of these models. This method estimates background error covariance matrix based on multiple simulations beforehand and updates the river water levels of whole basin with observed water levels.The proposed method is applied to the Chikusa River basin in the Hyogo Prefecture for the identical twin experiment. The predicted water levels show better agreement with true values both at gauged points and ungauged points. Moreover, this study shows that the assimilation accuracy improves in the cases where correlation decay based on distance is considered in estimating the background error covariance matrix.

Journal

• Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)

  Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 74 (4), I_1009-I_1014, 2018

  Japan Society of Civil Engineers

Keywords

• data assimilation
• optimal interpolation
• distributed hydrological model
• real-time mapping

Details

• CRID: 1390001288142433920
• NII Article ID: 130007628149
• DOI: 10.2208/jscejhe.74.i_1009
• ISSN: 2185467X
• Web Site: https://www.jstage.jst.go.jp/article/jscejhe/74/4/74_I_1009/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed