Water Quality Comparison of the Donau, Based on OECD Reports

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  • KAMBE Junko
    Faculty of Foreign Language, Daito Bunka University Core Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency (JST)
  • NAGASHIMA Umpei
    Core Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency (JST) Research Institute for Computational Science, National Institute for Advanced Industrial Science and Technology
  • YAMAUCHI Aiko
    Graduate School of Pharmaceutical Sciences, University of Tokushima
  • AOYAMA Tomoo
    Faculty of Engineering, University of Miyazaki

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  • ニューラルネットワークを用いたドナウ川の水質解析―ＯＥＣＤレポートを用いて―
  • ニューラル ネットワーク オ モチイタ ドナウガワ ノ スイシツ カイセキ OECD レポート オ モチイテ

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Abstract

We researched the water quality of the Donau based on OECD reports. Observations in the reports have defects that make evaluation of environmental situations difficult. By using interpolations in the compensation quantitative structure-activity relationships (CQSAR), we complement the defects in the water quality of the rivers. Thus, we get a complete data set for dissolved oxygen, biochemical oxygen demand, and total phosphorus. Using the data set, we examine re-naturalization of the Donau. We investigate the effect of dams between Slovakia and Hungary, by using reconstructions of neural networks in CQSAR. <BR>The water quality of the Donau has been improved as to DO and BOD. The rivers have been re-naturalized. We believe that the effect is found in these indexes; however, not so much for the T-P. <BR>We find a negative effect of the dam construction on changes of DO in the Hungary Donau.

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