Estimation and optimization operation in dealing with inflow and infiltration of a hybrid sewerage system in limited infrastructure facility data

Inflow and infiltration (I/I) are serious problems in hybrid sewerage systems. Limited sewerage information impedes the estimation accuracy of I/I for each catchment. A new method dealing with I/I of a large-scale hybrid sewerage system with limited infrastructure facility data is proposed in this study. The catchment of representative pump stations was adopted to demonstrate the homological catchments that have similar wastewater fluctuation characteristics. Homological catchments were clustered using the self-organizing map (SOM) analysis based on long-term daily flow records of 50 pumping stations. An assessment index was applied to describe the I/I and overflow risk in the catchment based on the hourly wastewater quality and quantity data of representative pump stations. The potential operational strategy of homological catchments was determined by the assessment index of representative pump stations. The simulation results of the potential operational strategy indicated that the optimized operation strategy could reduce surcharge events and significantly improve the quality of wastewater treatment plant effluent.

[1]  C. Joannis,et al.  Modelling of rainfall induced infiltration into separate sewerage , 1995 .

[2]  Stefan Achleitner,et al.  Generating time-series of dry weather loads to sewers , 2013, Environ. Model. Softw..

[3]  Keisuke Kojima,et al.  Cluster analysis for characterization of rainfalls and CSO behaviours in an urban drainage area of Tokyo. , 2013, Water science and technology : a journal of the International Association on Water Pollution Research.

[4]  J. B. Ellis,et al.  Assessing exfiltration and infiltration on the performance of urban sewer systems , 2010 .

[5]  Krist V. Gernaey,et al.  Activated sludge wastewater treatment plant modelling and simulation: state of the art , 2004, Environ. Model. Softw..

[6]  Taikan Oki,et al.  Modelling the catchment-scale environmental impacts of wastewater treatment in an urban sewage system for CO₂ emission assessment. , 2010, Water science and technology : a journal of the International Association on Water Pollution Research.

[7]  G. Freni,et al.  Uncertainty assessment of an integrated urban drainage model , 2009 .

[8]  Zhiyi Zhang.  Flow Data, Inflow/Infiltration Ratio, and Autoregressive Error Models , 2005 .

[9]  D. Stránský,et al.  Evaluation of sewer infiltration/inflow using COD mass flux method: case study in Prague. , 2012, Water science and technology : a journal of the International Association on Water Pollution Research.

[10]  M. Gresch,et al.  A stable isotope approach for the quantification of sewer infiltration. , 2007, Environmental science & technology.

[11]  Land use/cover change effects on floods with different return periods: a case study of Beijing, China , 2013, Frontiers of Environmental Science & Engineering.

[12]  U Jeppsson,et al.  WWTP dynamic disturbance modelling--an essential module for long-term benchmarking development. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[13]  Yanchen Liu,et al.  Study on a discrete-time dynamic control model to enhance nitrogen removal with fluctuation of influent in oxidation ditches. , 2010, Water research.

[14]  Guangtao Fu,et al.  Multiple objective optimal control of integrated urban wastewater systems , 2008, Environ. Model. Softw..

[15]  J. B. Ellis,et al.  APUSS: assessing the significance of infiltration and exfiltration on the performance of urban sewer systems , 2010 .

[16]  P Staufer,et al.  Assessing the performance of sewer rehabilitation on the reduction of infiltration and inflow. , 2012, Water research.

[17]  C. Mustin,et al.  Isotopic tracing of clear water sources in an urban sewer: A combined water and dissolved sulfate stable isotope approach. , 2010, Water research.

[18]  Theresa L. Utlaut,et al.  Introduction to Time Series Analysis and Forecasting , 2008 .

[19]  K Seggelke,et al.  Online-simulation of the WWTP to minimise the total emission of WWTP and sewer system. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.

[20]  C. Ray,et al.  Assessing the severity of rainfall-derived infiltration and inflow and sewer deterioration based on the flux stability of sewage markers. , 2011, Environmental science & technology.

[21]  M. Schuetze,et al.  Real time control (RTC) of urban drainage systems – A discussion of the additional efforts compared to conventionally operated systems , 2013 .

[22]  H. Jia,et al.  Assessing the impact on groundwater safety of inter-basin water transfer using a coupled modeling approach , 2015, Frontiers of Environmental Science & Engineering.

[23]  Richard Field,et al.  Control strategy for storm-generated sanitary-sewer overflows , 1997 .

[24]  Gustaf Olsson,et al.  Wastewater Treatment Systems: Modelling, Diagnosis and Control , 2015 .

[25]  G Weiss,et al.  Infiltration and inflow in combined sewer systems: long-term analysis. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.

[26]  Richard O. Mines,et al.  The Impact of Rainfall on Flows and Loadings at Georgia’s Wastewater Treatment Plants , 2007 .

[27]  Peter Krebs,et al.  Quantification of groundwater infiltration and surface water inflows in urban sewer networks based on a multiple model approach. , 2011, Water research.

[28]  A. M. Kalteh,et al.  Review of the self-organizing map (SOM) approach in water resources: Analysis, modelling and application , 2008, Environ. Model. Softw..

[29]  Teuvo Kohonen,et al.  The self-organizing map , 1990 .

[30]  D. Stránský,et al.  Sewer infiltration/inflow: long-term monitoring based on diurnal variation of pollutant mass flux. , 2009, Water Science and Technology.