An Enhanced Numerical Model for Material Cycling and Dissolved Oxygen Dynamics in Tokyo Bay, Japan

Attari, Morteza Jedari; Sasaki, Jun

doi:10.1061/9780784412411.00015

Cited by 3 publications

(8 citation statements)

References 8 publications

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“…The fetch length was calculated as effective fetch, assuming that one fetch is computed as the summation of multi directional individual fetches [36]. This model has been validated by Rasmeemasmuang and Sasaki [5] and Achiari and Sasaki [36] for Tokyo Bay with the measured data, and Attari and Sasaki [40] has applied this model in their water quality modeling.…”

Section: Wave Hindcasting Modelmentioning

confidence: 99%

“…The sediment dynamic process, including for instance sediment deposition and resuspension, is controlled by BSS in the bottom boundary layer. The BSS model proposed by Rasmeemasmuang and Sasaki [5] and applied by Attari and Sasaki [40] for Tokyo Bay has been integrated with this ecosystem model. The BSS has been estimated as a combined characteristic of wave and current motions.…”

Section: Bed Shear Stress (Bss) Modelmentioning

confidence: 99%

“…We have been developing a benthic-pelagic coupled 3D water quality model aiming to reproduce the long-term dynamics in Tokyo Bay [40][41][42]. With the scarcity of available sediment data, benthic-pelagic coupled water quality modeling is most of the time challenging.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Modeling of Long-Term Biogeochemical Processes and Its Application to Sedimentary Bed Formation in Tokyo Bay

Amunugama

Sasaki

2018

Water

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Even though models of water quality have become increasingly detailed over time, their applicability to analyze long-term effect on sedimentary bed formation is yet to be clarified. Hence, an integrated, layer-resolved, process-based, sediment-water coupled, long-term robust, three-dimensional (3D) ecosystem model, including realistic sedimentary and pelagic processes, was developed. The constituents of the integrated model included a multi layered ecosystem model, a quasi-three dimensional hydrodynamic model, a wave hindcasting model, and a sediment deposition and erosion model. Because numerical modeling difficulties arise in setting the initial conditions, especially for a sedimentary bed, this novel modeling approach suggests to initiate the model with the simplest initial conditions of no particulate organic carbon content (POCC) and uniform inorganic sediment distribution. The model was applied to Tokyo Bay and quasi-steady state POCC in the sediment was obtained through long-term computation with realistic sedimentary and pelagic processes. Wave induced bed shear stress (WBSS) is critical for sediment erosion and spatial movement of sediment pollution, while a stable morphology is determined by the balance between the current induced bed shear stress (CBSS) and WBSS in Tokyo Bay. This novel modeling approach, with the simplest sedimentary initial conditions and realistic sedimentary and pelagic processes, provides a great tool for long-term ecosystem modeling in future studies.

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Section: Wave Hindcasting Modelmentioning

confidence: 99%

Section: Bed Shear Stress (Bss) Modelmentioning

confidence: 99%

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Numerical Modeling of Long-Term Biogeochemical Processes and Its Application to Sedimentary Bed Formation in Tokyo Bay

Amunugama

Sasaki

2018

Water

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“…Depositional flux 5) were calculated from equations (2a) and (2b) while erosional flux 8) were calculated from equations (3a) and (3b): ( …”

Section: I_1399mentioning

confidence: 99%

“…Many of the models have considered only seasonal and annual reproduction 1,2) while some of the others have done decadal reproduction coupling with sediment models but mostly limited to two-layer or multi-layer models excluding the formation process of sedimentary bed itself 3,4) . We have been developing a long-term predictive model aiming to reproduce long-term dynamics of water and sediment quality, including realistic process of sediment formation 5,6) . Their reproducibility was, however, validated comparing with only a data set of water quality, and thus further validation for sediment quality should be made along with the model improvement.…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution of Sediment Quality in Tokyo Bay through Benthic-Pelagic Coupled Modeling Approach

Amunugama

Sasaki

Nakamura

et al. 2015

Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal E

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A critical aspect of water quality modeling, particularly for long term predictions and considering measures against hypoxia and anoxia, is the long-term estimation of sediment quality. The objective of this study is to reproduce spatial distribution of sediment quality in Tokyo Bay, particularly particulate organic carbon content (POCC) of sediment, by adopting integrated, benthic-pelagic coupled, layer-resolved, and process based ecosystem model. This model could reproduce spatial distributions of sediment quality, including water content (WC), POCC, total nitrogen content (TNC) and total phosphorous content (TPC), showing the largest contents at the central part of the inner bay. Robustness of the model for long term formation of sediment quality has been proved through this study.

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Development of a Benthic-Pelagic Coupled Model for Reproducing Water Quality in Tokyo Bay

et al. 2015

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The appearance of hypoxia in water is mainly related with the characteristics of the sediment and hence the accurate sediment model is an important component to predict water quality and to propose measures against hypoxia. The objective of this study is to develop an integrated, benthic-pelagic coupled, layer-resolved and process based ecosystem model which can be used to reproduce seasonal hypoxia and anoxia in Tokyo Bay. The model was confirmed to be robust for long term computations. Steady state results through long-term computation were found to be significant to improve the reproducibility and reliability of the model. After the validation of long term results, this model can be adopted to predict long term conditions of the bay and to propose measures against hypoxia.

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An Enhanced Numerical Model for Material Cycling and Dissolved Oxygen Dynamics in Tokyo Bay, Japan

Cited by 3 publications

References 8 publications

Numerical Modeling of Long-Term Biogeochemical Processes and Its Application to Sedimentary Bed Formation in Tokyo Bay

Numerical Modeling of Long-Term Biogeochemical Processes and Its Application to Sedimentary Bed Formation in Tokyo Bay

Spatial Distribution of Sediment Quality in Tokyo Bay through Benthic-Pelagic Coupled Modeling Approach

Development of a Benthic-Pelagic Coupled Model for Reproducing Water Quality in Tokyo Bay

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