Trial Operation of Water-quality Forecasting System Based on Fecal Pollution Indicators for a Beach in Odaiba Marine Park

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  • KITAYAMA Chizuru
    Tokyo Kyuei Co., Ltd.
  • MORITA Kenji
    Association for Shore Environment Creation
  • FUKUCHI Hiroshi
    Collaboration Project Section, Shibaura-konan Regional City Office, Minato City Present Affiliation: Planning Section, Planning and Management Department, Minato City
  • LEE SungAe
    Research Center for Water Environment Technology, The University of Tokyo Present Affiliation: Central Research Institute, Nihon Suido Consultant Co., Ltd.
  • FURUMAI Hiroaki
    Research Center for Water Environment Technology, The University of Tokyo

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Other Title
  • 糞便汚染指標を基にしたお台場海浜公園における海水浴予報システムの試行運用
  • フンベン オセン シヒョウ オ モト ニ シタ オダイバ カイヒン コウエン ニ オケル カイスイヨク ヨホウ システム ノ シコウ ウンヨウ

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Abstract

<p>Fecal pollution caused by combined sewer overflows has been observed at urban waterfronts after rainfall and results in fecal pollution levels exceeding bathing water quality standards. To guarantee the swimmablility of urban waterfronts, it is necessary to predict the situation of fecal contamination to ensure safe bathing. Therefore, we aimed to develop a water-quality forecasting system for the beach in Odaiba Marine Park using Escherichia coli as a fecal indictor to determine whether people can submerge their faces in the seawater on the day of bathing. First, rainfall events in the 23 cities of Tokyo over the past 10 years were categorized by cluster analysis, considering their temporospatial distribution characteristics. Then, E. coli concentration changes in the park were calculated using a 3D hydrodynamic and water-quality model for each categorized rainfall group. Using the calculation results for various tidal conditions, we constructed a database of E. coli concentration changes. It was confirmed that the E. coli concentration predicted using the database for a corresponding rainfall group agrees with the concentration peak calculated using the model within a safe margin. Using the constructed database, we carried out a trial operation of the water-quality forecasting system for the beach in 2018 and verified its effectiveness.</p>

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