Extraction of Chemical Parameters Characterizing the Upper, the Middle and Lower Stream by CQSAR - The Case of the Tamagawa River, Tokyo, Japan -

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  • KAMBE Junko
    Faculty of Foreign Language, Daito Bunka University
  • YAN Yuan
    Faculty of Engineering, University of Miyazaki
  • NAGASHIMA Umpei
    Research Institute for Computational Science, National Institute for Advanced Industrial Science and Technology Core Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency (JST)
  • AOYAMA Tomoo
    Faculty of Engineering, University of Miyazaki

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  • 欠測データを含むデータの解析が可能な多階層型ニューラルネットワークシミュレーション（ＣＱＳＡＲ）法を用いた河川の上流および中・下流を示す水質パラメータの抽出―東京多摩川の水質データ（１９９４～２００２）を用いて―
  • ケッソク データ オ フクム データ ノ カイセキ ガ カノウ ナ タカイソウガタ ニューラル ネットワーク シミュレーション CQSAR ホウ オ モチイタ カセン ノ ジョウリュウ オヨビ チュウ カリュウ オ シメス スイシツ パラメータ ノ チュウシュツ トウキョウ タマガワ ノ スイシツ データ 1994 2002 オ モチイテ

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We attempted to extract chemical parameters characterizing the upper, middle and lower stream of the Tamagawa River in Tokyo, Japan, by Compensation Quantitative Structure-Activity Relationships (CQSAR) method [11, 12] for analysis of incomplete data by perceptron type neural network with three layers. <BR>Dissolved Oxygen (DO) and Total Phosphorus (T-P) were extracted from 12 chemical parameters (Table 2) at 17 points (Table 1) along the main stream of the Tamagawa River (Figure 1) in Tokyo, Japan, for 1997-2001 [10].<BR>DO indicated that water pollution became worse at all points of the Tamagawa River (Figure 4) but T-P shows that water pollution is changed for the better in the middle and the lower stream (Figure 5).<BR>This result suggests that the water pollution is more drastic in the middle stream of the Tamagawa River than the lower stream. The water pollution in the middle stream should be decreased for keeping the Tamagawa River clean.

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