Japan Geoscience Union Meeting 2025

Presentation information

[J] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-OS Ocean Sciences & Ocean Environment

[A-OS21] Coastal ocean circulation and material cycle

Mon. May 26, 2025 3:30 PM - 5:00 PM Exhibition Hall Special Setting (2) (Exhibition Hall 7&8, Makuhari Messe)

convener:Taira Nagai(Japan Fisheries Research and Education Agency), Toshimi Nakajima(Atmosphere and Ocean Research Institute, The University of Tokyo), Mitsuko Hidaka(Kagoshima University), Yusuke Ushijima(Ehime University), Chairperson:Toshimi Nakajima(Atmosphere and Ocean Research Institute, The University of Tokyo), Mitsuko Hidaka(Kagoshima University)

4:30 PM - 4:45 PM

[AOS21-11] Numerical forecast simulation of the occurrence of hypoxic water mass in Ariake Sea, Japan.

*Soichi Yamaguchi1, Shuhei Hayama1 (1.Interdisciplinary Graduate School of Engineering Sciences, Kyushu university)

Keywords:Hypoxic water mass, Heavy rain, Ariake Sea, Ecosystem model

Ariake Sea is located in the northwestern part of Kyushu region, Japan. One of the environmental problems here is the occurrence of hypoxic water masses in summer (in this study, dissolved oxygen (DO) concentration < 3.0 mg/l), which threatens the survival of marine organisms such as clams and ark shells and causes serious damage to the aquaculture industry. Hypoxia has been becoming more serious over the years (Hayami and Fujii, 2017). Because hypoxic water masses here develop rapidly on a short time scale of less than one week (Tokunaga et al., 2011), local countermeasures tend to be delayed, resulting in great damage. Therefore, in order to achieve sustainable fisheries production, there is a need of near-future prediction (up to 1-week) of the occurrence of hypoxic water masses. In other coastal areas where hypoxia is consistently observed in the summer, current status estimates and long-term occurrence forecasts have been conducted (e.g., Andrew et al., 2019; Miki et al., 2025). However, there are few studies that attempt to predict the occurrence of hypoxic water masses in a short period of time. In this study, we therefore verified the feasibility of predicting near-future changes in DO concentration using a high-resolution physical-ecosystem coupled model.
The numerical model is based on the unstructured grid ocean model FVCOM (Finite Volume Community Ocean Model, Chen et al., 2006) and a numerical ecosystem model (Yamaguchi and Hayami, 2018), with Dreams_Ep (Hirose et al., 2005) for open boundary conditions, the rainfall-runoff-inundation model (Sayama and Iwami, 2014) for freshwater input, and analysis rain, short-range rain forecast, mesoscale model (MSM), and global spectral model (GSM (Japan region)) by Japan Meteorological Agency for meteorological conditions.
On July 29, 2024, we investigated the occurrence of hypoxic water masses in collaboration with relevant institutions (for a summary of the survey, see Tokunaga et al. (2024)) and confirmed the occurrence of large-scale hypoxic water masses. This study, targeting this hypoxia, performed hindcast simulation (HC) and forecast simulation (FC) from 6 day to 1 day prior to the survey date, using the results of the HC as the initial condition.
Although the HC calculated lower DO concentrations in the tidal-flat area than observed values, it succeeded in reproducing the occurrence of a severe hypoxic water mass (minimum DO concentration below 1.0 mg/l) on July 29, 2024 extending from the inner Ariake Sea to Isahaya Bay. According to the HC results, this hypoxia developed within one week. Hypoxia was formed under a strong halocline due to an increase in river water volume. It was shown that FC with HC result as the initial condition could predict the occurrence from 1 day to 5 days in advance. However, in 6-day prediction, the accuracy of predicting the DO concentration was reduced and the predicted hypoxic water masses became smaller in size than observed, because overestimation of wind strength forecast by GSM collapsed density stratification, especially in shallow water areas. It was suggested that in order to make longer-period prediction, it will be necessary to reconsider the weather forecast values given to FC.