11:00 〜 13:00
[AHW24-P06] Does weekly data could fill the bridge between daily and monthly data in modeling work?
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