オダ　リョウコ   Ryoko Oda   小田　僚子    所属   千葉工業大学  創造工学部 都市環境工学科    千葉工業大学  創造工学研究科 都市環境工学専攻    千葉工業大学  工学研究科 工学専攻    職種   教授
言語種別	英語
発行・発表の年月	2023/04/27
形態種別	学術雑誌
査読	査読あり
標題	Forecasting green tide events in a semi-closed tidal flat using artificial intelligence and environmental big data
執筆形態	共著
掲載誌名	Journal of Ecohydraulics
掲載区分	国外
出版社・発行元	Taylar & Francis
総ページ数	9
著者・共著者	Eiji Yauchi, Shun Wakabayashi and Ryoko Oda
概要	Green tide is a phenomenon in which Ulva spp. grow abnormally in nearshore shallow water areas, resulting in degradation of the water quality and scenery, and generation of unpleasant odors. The Yatsu tidal flat, located in the inner part of Tokyo Bay, is among the most significant tidal flats remaining in Japan. In recent years, the occurrence of green tide events due to extraordinary growth of Ulva spp. has become problematic. In the present study, we used field observations conducted from 2003 to 2017 to construct a green tide forecasting model using artificial intelligence and a neural network. We found that forecast values could be accurately hindcast using field data. Next, we attempted to forecast the area to be affected by green tide using environmental big data for the part of Tokyo Bay near the Yatsu tidal flat. For the area selected, we showed that green tide forecasting 1 month ahead is achievable using environmental big data from the area near the tidal flat.