Japan Geoscience Union Meeting 2019

Presentation information

[E] Poster

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI30] Data assimilation: A fundamental approach in geosciences

Wed. May 29, 2019 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Shin ya Nakano(The Institute of Statistical Mathematics), Yosuke Fujii(Meteorological Research Institute, Japan Meteorological Agency), SHINICHI MIYAZAKI(Graduate School of Science, Kyoto University), Takemasa Miyoshi(RIKEN)

[MGI30-P05] Application of data assimilation method on parameter estimation of flow and nutrient behavior in watershed model

*Yosuke Horie1 (1.Nippon Koei Co., Ltd.)

Keywords:Data assimilation, watershed model, water quality simulation, SWAT

In schemes for nutrient reduction from watershed such as Japanese total volume control framework on nutrient or master plan for sewerage system propagation, hydrologic and nutrient behavior in watershed is critical to make an effective plan to fulfill environmental standard of water body. However, there are many uncertainties in constructing a watershed model as follows. First, observation frequency of concentration of water quality, which is a target of such scheme on nutrient reduction, is not enough because they can be obtained in public water quality observation system only about once a month. Second, pollutant load unit, which is used for quantifying pollutant load from watershed, can be fluctuated from place to place. Third, there are many parameters of watershed models which should be calibrated. To resolve these problems, this study applied EnKF, one of data assimilation method, to SWAT (Soil and Water Assessment Tools) model, which can simulate hydrologic and nutrient cycle in watershed, and conducted parameter estimation to achieve more robust result from watershed model under the uncertainties above.