Abstract
Water quality sensors in Osaka Bay are mostly located along the shore, making it difficult to observe the distribution of hypoxia in summer. To solve this problem, we developed a real-time water quality prediction system in Osaka Bay based on the Regional Ocean Modeling System (ROMS). With a careful quality control to filter out abnormal values in the observed data and a sensitivity analysis on the data assimilation radius, this system successfully simulated the annual change of water quality and the horizontal distribution of hypoxia in summer. With weather forecasting GPV data, the system generally predicted the change in surface temperature and bottom dissolved oxygen, but did not fully predicted the drastic change of dissolved oxygen in the bottom water.
