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講演題目

Applying Data Assimilation with HYDRUS for Digital-twin Modeling of Soil-water and Heat Transport of Rain-fed Soybean Field throughout Japan

詳細
開催日 2022年10月14日(金)
開催時間 16:20 - 16:40(17:00 - 17:20 講演者を交えたフリーディスカッション、17:20 - 自由討論(参加自由))
開催都市 オンライン
場所

Zoomによる遠隔セミナー

使用言語 発表・スライド共に英語
登壇者

Sakiur RAHMAN

データ同化研究チーム
特別研究員

講演要旨

Monitoring field water balance conditions continuously is a critical issue for crops cultivated under rain-fed conditions such as soybean fields in Japan. Numerical hydrological models simulate soil water and heat fluxes which can complement the expensive and time-consuming direct field measurements. This study aims to characterize the soil-water and heat transport dynamics explicitly by combining a state-of-the-art hydrological model known as HYDRUS-1D and field data during the soybean crop growing period under different hydroclimatic conditions in Japan. HYDRUS-1D can simulate the transport process of water, heat, and solutes in the vadose zone simultaneously. Since HYDRUS-1D can simulate crops' water uptake from different soil layers, it can provide a better understanding of the soil-water-atmospheric interactions during crop growing seasons. To understand the actual field conditions during the soybean crop growing period, soil water content and temperature were measured in a number of soybean fields throughout Japan during the last crop growing period. In addition, meteorological stations were installed to measure meteorological variables near the soybean fields, and soil samples were collected and analyzed. The meteorological and soil data gathered were fed into the HYDRUS-1D. The simulated temporal changes in soil water contents and temperature during the soybean growing period were compared to the same variables observed in the field to ensure model performance. In addition, ensemble-based data assimilation was applied with HYDRUS-1D to enhance the accuracy and quantify the uncertainties. The outcomes of this study will be fed into the soybean crop models later to develop a coupled crop-hydrological model that will provide the mechanistic details of the soybean crops cultivated in Japan.

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(2022年10月5日)