Pin-pointing groundwater infiltration into urban sewers using chemical tracer in conjunction with physically based optimization model.

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第一作者： Zhichao,Zhao

第一单位： State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, China.

作者： Zhichao,Zhao ^[1] ; Hailong,Yin ^[2] ; Zuxin,Xu ^[1] ; Jian,Peng ^[3] ; Ziwen,Yu ^[4]

作者单位： State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, China. ^[1] State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China; Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai, 200092, China. Electronic address: yinhailong@tongji.edu.cn. ^[2] Environmental Resources, OC Public Works, County of Orange, California, 2301 North Glassell Street, Orange, CA, 92865, USA. ^[3] University of Florida, 1741 Museum Rd, Gainesville, FL, 32603, USA. ^[4]

关键词 Chemical tracer Groundwater infiltration Pipe defect Self-optimization algorithm Sewer system Urban drainage

主题词污水(Sewage);甜味剂(Sweetening Agents)

DOI 10.1016/j.watres.2020.115689

PMID 32199188

发布时间 2022-12-07

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Water research

2020年175卷

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Pin-pointing groundwater infiltration into urban sewers using chemical tracer in conjunction with physically based optimization model.

Water research

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Water research

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Pin-pointing groundwater infiltration into urban sewers using chemical tracer in conjunction with physically based optimization model.

Water research

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Water research

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