Wet weather behavior of unregulated pollutants and pathogens in combined sewer network

合流制污水管网中不受管制的污染物和病原体的潮湿天气行为

• 批准号: 16360262
• 负责人: FURUMAI Hiroaki
• 金额: $ 9.54万
• 依托单位: the University of Tokyo
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 2004
• 资助国家: 日本
• 起止时间: 2004 至 2006
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-16360262/
• 关键词: Combined Sewer Overflow; Pipe Sediment; Pathogens; Virus; Distributed Model; Antibiotics; Quinone profile; Pollutant Runoff Analysis; 医薬品; リアルタイムコントロール; 模擬降雨; PCR

The aim of this research project was to unveil the wet weather behavior of unregulated micropollutants and pathogens derived from combined sewer overflow (CSO). Detailed field survey was conducted to characterize the diurnal variation of the pollutant loads, particle size distribution, quinone profile of suspended microbes, health related microorganisms including viruses and micropollutants such as antibiotics. The diurnal variation was categorized into several patterns dependent on the pollutant source. The variation of antibiotics concentration seemed to reflect the metabolism and excretion characteristics of each antibiotic.To investigate the phenomenon of resuspension of pipe sediment under wet weather condition, the rainwater runoff was simulated by pouring clean water into an upstream manhole from a water wagon. Loads of bacteria in the downstream pipe exhibited a different varying pattern from that of viruses.A mathematical modeling was conducted to evaluate the sediment distribution in a combined sewer network and then a protocol to distinguish the priority pipes for cleaning was proposed. A model simulation revealed that cleaning of pipes which specifically accumulated sediments was effective for reducing the CSO pollutant load.Algorithm of sewer system operation to minimize the CSO pollutant load was developed. A simple auto-regression model for on-line water quality prediction was modified with referring a measured water quality value in an upstream pipe. Water flow prediction model was refined to provide a better simulation of CSO occurrence at medium- and small-size rainfall events. Future application of the algorithm to a real time control system for CSO management was discussed.

本研究的目的是揭示潮湿的天气行为的不受管制的微污染物和病原体来自合流污水溢流（CSO）。进行了详细的现场调查，以表征污染物负荷的日变化、粒径分布、悬浮微生物、健康相关微生物（包括病毒）和抗生素等微污染物的醌谱。日变化分为几种模式依赖于污染源。抗生素浓度的变化似乎反映了每种抗生素的代谢和排泄特性。为了研究潮湿天气条件下管道沉积物的再悬浮现象，通过将清水从水车注入上游检修孔来模拟雨水径流。针对下游管道中细菌负荷与病毒负荷变化规律不同的问题，建立了合流制管网中泥沙分布的数学模型，并提出了优先清洗管道的方案。模型模拟结果表明，通过对沉积物集中的管道进行清洗，可以有效降低CSO污染负荷，并提出了使CSO污染负荷最小化的污水系统运行算法。通过参考上游管道的实测水质值，对一个简单的自回归水质在线预测模型进行了修正。改进了水流预报模型，以更好地模拟中小尺度降雨过程中CSO的发生。讨论了该算法在真实的时间控制系统中的应用前景。

项目成果

合流式下水道上流部の小排水区域における晴天時24時間水質・水量の変動特性

合流制上游小流域晴天24小时水质水量波动特征

• 发表时间: 2006
• 期刊: 第43回環境工学研究フォーラム講演集
• 作者: Satoshi Managaki;Weon Jae Kim;Hiroaki Furumai;Hideshige Takada;Fumiyuki Nakajima;長岩 明広;長岩 明広;金 元載;長岩 明広;磯崎 雄一;金 元載
• 通讯作者: 金 元載

Refinement of flow rate prediction model for CSO control

CSO 控制流量预测模型的细化

• 发表时间: 2007
• 期刊: Proceedings of 44th annual conference of Japan Sewage Works Association(in Japanese) (in press)
• 作者: Akihiro Nagaiwa;Hiroaki Furumai;Fumiyuki Nakajima;Soichi Tonari
• 通讯作者: Soichi Tonari

晴天時合流式下水水質の時間変動特性を考慮したCSO汚濁負荷の評価

考虑晴天综合污水水质时变特征的CSO污染负荷评价

• 发表时间: 2007
• 期刊: 第44回下水道研究発表会講演集 (印刷中)
• 作者: Satoshi Managaki;Weon Jae Kim;Hiroaki Furumai;Hideshige Takada;Fumiyuki Nakajima;長岩 明広;長岩 明広;金 元載
• 通讯作者: 金 元載

Development of pollutant load prediction model for CSO control utilizing time-course water quality data

利用时程水质数据开发用于 CSO 控制的污染物负荷预测模型

• 发表时间: 2006
• 期刊: Proceedings of 43rd annual conference of Japan Sewage Works Association(in Japanese)
• 作者: Akihiro Nagaiwa;Hiroaki Furumai;Fumiyuki Nakajima;Kenji Umeda
• 通讯作者: Kenji Umeda

Speciation Analysis on Dissolved Trace Metals in Treated Water in Urban Wastewater Treatment Plant

城市污水处理厂处理水中溶解微量金属形态分析

• 发表时间: 2005
• 期刊: Proceedings of 40th annual conference of Japan Society on Water Environment(in Japanese)
• 作者: Yuichi Isozaki;Fumiyuki Nakajima;Hiroaki Furumai
• 通讯作者: Hiroaki Furumai