Estimation of turbidity and heavy oil distribution in Tokyo Bay from satellite and field data immediately after Typhoon No. 19 in 2019

  • SAKUNO Yuji
    広島大学 大学院先進理工系科学研究科

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  • 2019年台風19号直後の衛星・現地データによる東京湾の濁度および重油の分布推定
  • 2019ネン タイフウ 19ゴウ チョクゴ ノ エイセイ ・ ゲンチ データ ニ ヨル トウキョウワン ノ ダクド オヨビ ジュウユ ノ ブンプ スイテイ

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Abstract

<p> The objctive of this study is to estimate the distributions of turbidity and heavy oil spill in Tokyo Bay using the field data and satellite data acquired before and after Typhoon No. 19 that occurred in October 2019. As a result, the strong significant correlation (r2 = 0.91, N = 14) between the TSM (Total Suspended Solids concentration) of GCOM-C SGLI (Shikisai) and the measured turbidity was observed. The high concentration turbidity outflow route from the river flowing into Tokyo Bay was clarified. Furthermore, the heavy oil spilled from the ship that sank off Kawasaki spilled about 30 km in the south-southeast direction by comprehensively judging the sighting point information from the press, the low σ value (backscatter coefficient value) of Sentinel-1 SAR, and the wind conditions. From the above, it is validated that the initial motion survey using these field data and satellite data is an effective method to grasp the situation of Tokyo Bay immediately after the typhoon.</p>

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