Abstract
Eelgrass beds have important functions as water purification, spawning and nursery grounds for valuable marine resources. In recent several decades, eelgrass beds have been decreased by coastal reclamation. In order to suppress that phenomenon, various environments improvement technology has been tested. However, the long-term conservation of constructed eelgrass bed construction is difficult and there are not many success cases. It is considered that it is attributed to the surrounding condition in the objective marine area is not suitable for the optimum eelgrass habitat environment. In this study, we conducted the evaluation and analysis of eelgrass growth factors using the Self Organization Future Map (SOM) that kinds of neural network. Also, we verify the complicated relationship between the eelgrass growth factor and changes of marine environment. It would be the effective approach for the sea grass bed construction.
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Schedule a callMore From: Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering)
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