日本地球惑星科学連合2022年大会

講演情報

[E] ポスター発表

セッション記号 A (大気水圏科学) » A-HW 水文・陸水・地下水学・水環境

[A-HW24] 流域圏生態系における物質輸送と循環:源流から沿岸海域まで

2022年6月1日(水) 11:00 〜 13:00 オンラインポスターZoom会場 (11) (Ch.11)

コンビーナ:安元 純(琉球大学 農学部)、コンビーナ:小林 政広(国立研究開発法人森林研究・整備機構 森林総合研究所)、奥田 昇(神戸大学)、コンビーナ:Paytan Adina(University of California Santa Cruz)、座長:安元 純(琉球大学 農学部)、奥田 昇(神戸大学)、小林 政広(国立研究開発法人森林研究・整備機構 森林総合研究所)

11:00 〜 13:00

[AHW24-P06] Does weekly data could fill the bridge between daily and monthly data in modeling work?

*Kunyang Wang1Shin-ichi Onodera1Mitsuyo Saito2 (1.Graduate School of Advanced Science and Engineering, Hiroshima University、2.Graduate School of Environmental and Life Science, Okayama Universit)

キーワード:Modeling, Daily, Monthly, Calibration, Nutrient, Concentration

Over the past few decades, modellers have had a high degree of autonomy in the calibration and validation of flow models. They can autonomously decide to use daily or monthly time steps, depending on the needs of the model and the length of the study period. However, modellers have very few options for calibration and validation of nutrient transport models. In most cases, users are forced to perform model calibration work at monthly time steps due to insufficient data volume of observation data to meet the needs of daily calibration. However, monthly observations could not covered the transport peaks in precipitation event well, which also makes models calibrated at monthly time steps likely to underestimate nutrient transport peaks. The Objective of this study was take weekly sampling on the downstream of Yamato River and rate the model according to the weekly sampling data and demonstrate the significance of the weekly sampling data in the modeling work and its influence on the results