RECURSIVE UPDATING OF DISTRIBUTED STATE VARIABLES USING OBSERVED DISCHARGES THROUGH KALMAN FILTER

• KIM Sunmin

  Dept. of Urban and Environmental Eng., Kyoto University

• TACHIKAWA Yasuto

  Kyoto University

• TAKARA Kaoru

  Kyoto University

Abstract

By means of Kalman filter, this study examines recursive updating of a distributed model's state variables, which were the water depths on a fine grid cell, using observed discharges at the basin outlet. The measurement update algorithm of the filter decides the optimal discharge, and the ratio of the optimal discharge to the simulated discharges was applied to every discharge from each cell for a reformation of the distributed state variables with a specific stage-discharge relationship. For the time update algorithm of the filter, Monte Carlo simulation was adopted for the prediction algorithm of the filter. The proposed algorithm offers efficient state variables updating in a distributed hydrologic model.

Journal

• PROCEEDINGS OF HYDRAULIC ENGINEERING

  PROCEEDINGS OF HYDRAULIC ENGINEERING 51 67-72, 2007

  Japan Society of Civil Engineers

Keywords

• Kalman Filter
• Distributed Hydrologic Model
• Updating of Distributed State Variables

Details

• CRID: 1390282680147325696
• NII Article ID: 130003842524
• DOI: 10.2208/prohe.51.67
• ISSN: 18849172
• ISSN: 09167374
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed