DOI: 10.1016/j.watres.2018.12.037
Scopus记录号: 2-s2.0-85060178862
论文题名: Quantifying physical disintegration of faeces in sewers: Stochastic model and flow reactor experiments
作者: Roni P. ; Max M. ; François-Gaël M. ; Andreas S. ; Jiande Z. ; Markus H.
刊名: Water Research
ISSN: 431354
出版年: 2019
起始页码: 159
结束页码: 170
语种: 英语
英文关键词: Backlight illumination image analysis
; Gross solids
; Image processing
; Particle image velocimetry
; Synthetic faeces
; Turbulent flow
Scopus关键词: Disintegration
; Flow visualization
; Forecasting
; High speed cameras
; Image analysis
; Image processing
; Sewers
; Shear flow
; Shear stress
; Stochastic systems
; Turbulent flow
; Velocimeters
; Velocity measurement
; Backlight illumination
; Cylindrical reactors
; Gross solids
; Model calibration and validation
; Particle image velocimetries
; Stochastic deterioration
; Synthetic faeces
; Turbulence intensity
; Stochastic models
; calibration
; flow field
; image analysis
; image processing
; numerical model
; particle image velocimetry
; sewer network
; shear stress
; turbulent flow
; water content
; Article
; feces
; flow
; flow rate
; illumination
; image analysis
; particle image velocimetry
; priority journal
; sewer
; shear stress
; solid
; stochastic model
; water content
英文摘要: We present a novel stochastic model for quantifying gross solids (GS) physical disintegration under varying turbulent flow conditions and used a unique experimental setup for model calibration and validation. The stochastic deterioration model predicts faeces size evolution over time. It conceptually entails the two main processes of solid fragmentation, namely breakage and erosion. Model parameters were calibrated on synthetic faeces and validated with real human ones. A cylindrical reactor was used, where turbulent flow was forced by an array of water jets and the physical disintegration of the faeces was monitored using a high speed camera. Image analysis of breakage experiments obtained under backlight illumination allowed determination of the evolution of the solids’ size over time. The flow field in the reactor was characterised by particle image velocimetry (PIV) using tracer particles seeded into the water. We found different disintegration behaviours depending on turbulence intensity and water content of the solid. In conditions of low shear stress, dense solids hardly disintegrated. Generally, the model predictions mirrored the broad range in the solids disintegration rate imparted by the high variability in flow conditions and in solids characteristics. It is expected that, similar to our experiments, also in real sewer systems both flow conditions and solid characteristics are highly variable and the stochastic model can be tailored to capture this variability. We thus anticipate that the model can be integrated into existing sewer models predicting sewer flows and solids’ movement. From these, shear stress, flow velocities and transport of individual solids can be inferred. The integration of the present solids disintegration model may provide better predictions of hot-spots for solids accumulation and blockages in sewers. © 2019 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/122009
Appears in Collections: 气候变化事实与影响
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作者单位: Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, 8600, Switzerland; Institute of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zurich, 8093, Switzerland
Recommended Citation:
Roni P.,Max M.,François-Gaël M.,et al. Quantifying physical disintegration of faeces in sewers: Stochastic model and flow reactor experiments[J]. Water Research,2019-01-01