2022 Fiscal Year Final Research Report
Prediction and Control of Fecal Pollution by Combined Sewer Overflows in Urban Coastal Waters
Project/Area Number |
20H02283
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Review Section |
Basic Section 22060:Environmental systems for civil engineering-related
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Research Institution | Chuo University (2021-2022) The University of Tokyo (2020) |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
春日 郁朗 東京大学, 大学院工学系研究科(工学部), 准教授 (20431794)
栗栖 太 東京大学, 大学院工学系研究科(工学部), 教授 (30312979)
高田 秀重 東京農工大学, (連合)農学研究科(研究院), 教授 (70187970)
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Project Period (FY) |
2020-04-01 – 2023-03-31
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Keywords | 環境質定量化・予測 / 合流式下水道 / 雨天時汚濁制御・管理 / 糞便汚染 / 都市沿岸域 / 健康リスク |
Outline of Final Research Achievements |
Focusing on fecal pollution associated with combined sewer overflows in urban coastal areas, the following research results were obtained through a combination of fine day and post-rainfall water quality surveys and 3-D flow water quality modeling. (1) The fecal pollution status was evaluated from the disappearance of indicator microbes and sewage markers in the coastal area around Odaiba Seaside Park during summer. The characteristics of their extinction were summarized by the difference of environmental persistence, and the results were used as observation data for the validation of the developed model. (2) The model newly introduced the inactivation kinetics of E. coli by sunlight and salinity to improve the reproducibility of its concentration changes after rainfall. Then, a database of E. coli concentration changes in Odaiba Seaside Park was constructed for each categorized rainfall type.
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Free Research Field |
都市環境工学
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Academic Significance and Societal Importance of the Research Achievements |
都市沿岸域の水辺空間で「快適に水遊びができる」という目標のためには、合流式下水道雨天時越流水に伴う健康リスク問題を解決することが非常に重要である。本研究の成果は、雨天時越流水による都市沿岸域の糞便汚染に及ぼす影響を沿岸域3次元流動水質モデルで定量的に評価することに貢献するものである。様々な降雨条件や潮汐条件での沿岸域における指標微生物や汚水マーカーの濃度変化の再現性を向上させたことで、発生した降雨の特徴を踏まえてお台場海浜公園における糞便汚染レベル評価や水浴の可否判断に活用することが可能となる。また、モデルは雨水滞水池などの汚染対策シナリオの効果評価にも利用することもできる。
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