Empirical Sewer Water Quality Model for Generating Influent Data for WWTP Modelling

Wastewater treatment plants (WWTP) typically have a service life of several decades. During this service life, external factors, such as changes in the effluent standards or the loading of the WWTP may change, requiring WWTP performance to be optimized. WWTP modelling is widely accepted as a means to assess and optimize WWTP performance. One of the challenges for WWTP modelling remains the prediction of water quality at the inlet of a WWTP. Recent applications of water quality sensors have resulted in long time series of WWTP influent quality, containing valuable information on the response of influent quality to e.g., storm events. This allows the development of empirical models to predict influent quality. This paper proposes a new approach for water quality modelling, which uses the measured hydraulic dynamics of the WWTP influent to derive the influent water quality. The model can also be based on simulated influent hydraulics as input. Possible applications of the model are filling gaps in time series used as input for WWTP models or to assess the impact of measures such as real time control (RTC) on the performance of wastewater systems.

[1]  P Willems Random number generator or sewer water quality model? , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[2]  R. Schilperoort Monitoring as a tool for the assessment of wastewater quality dynamics , 2011 .

[3]  Peter A. Vanrolleghem,et al.  Analysing, completing, and generating influent data for WWTP modelling: A critical review , 2014, Environ. Model. Softw..

[4]  Bernard De Baets,et al.  An emission time series generator for pollutant release modelling in urban areas , 2010, Environ. Model. Softw..

[5]  Jean-Luc Bertrand-Krajewski,et al.  Stormwater pollutant loads modelling: epistemological aspects and case studies on the influence of field data sets on calibration and verification. , 2007, Water science and technology : a journal of the International Association on Water Pollution Research.

[6]  L Benedetti,et al.  Estimating costs and benefits of advanced control for wastewater treatment plants--the MAgIC methodology. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[7]  B Barillon,et al.  A new empirical model for stormwater TSS event mean concentrations (EMCs). , 2011, Water science and technology : a journal of the International Association on Water Pollution Research.

[8]  Ulf Jeppsson,et al.  Dynamic influent pollutant disturbance scenario generation using a phenomenological modelling approach , 2011, Environ. Model. Softw..

[9]  P A Vanrolleghem,et al.  Development of a risk assessment based technique for design/retrofitting of WWTPs. , 2001, Water science and technology : a journal of the International Association on Water Pollution Research.

[10]  Peter A. Vanrolleghem,et al.  Influent generator for probabilistic modeling of nutrient removal wastewater treatment plants , 2016, Environ. Model. Softw..

[11]  Patrick Willems,et al.  Parsimonious Model for Combined Sewer Overflow Pollution , 2004 .

[12]  Ingmar Nopens,et al.  Automating the Raw Data to Model Input Process Using Flexible Open Source Tools , 2017 .

[13]  J Dirksen,et al.  Assessing characteristic time and space scales of in-sewer processes by analysis of one year of continuous in-sewer monitoring data. , 2012, Water science and technology : a journal of the International Association on Water Pollution Research.

[14]  Thorkild Hvitved-Jacobsen,et al.  Solids in Sewers , 2003 .

[15]  G. Chebbo,et al.  Distribution of pollutant mass vs volume in stormwater discharges and the first flush phenomenon , 1998 .

[16]  Bernard De Baets,et al.  Multi-criteria analysis of wastewater treatment plant design and control scenarios under uncertainty , 2010, Environ. Model. Softw..

[17]  J Colprim,et al.  A hybrid supervisory system to support WWTP operation: implementation and validation. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.

[18]  I. Nopens,et al.  Cost-effective solutions for water quality improvement in the Dommel River supported by sewer-WWTP-river integrated modelling. , 2013, Water science and technology : a journal of the International Association on Water Pollution Research.

[19]  S Winkler,et al.  Quantification of pollution loads from CSOs into surface water bodies by means of online techniques. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.

[20]  Peter Ackers,et al.  Sewer Sediment Production And Transport Modelling: A Literature Review , 1994 .

[21]  J. B. Copp,et al.  Benchmark Simulation Model No 2: finalisation of plant layout and default control strategy. , 2010, Water science and technology : a journal of the International Association on Water Pollution Research.

[22]  Günter Langergraber,et al.  Guidelines for Using Activated Sludge Models , 2012 .

[23]  Wolfgang Rauch,et al.  Comparison of two model based approaches for areal rainfall estimation in urban hydrology , 2014 .

[24]  Ulf Jeppsson,et al.  Calibration and validation of a phenomenological influent pollutant disturbance scenario generator using full-scale data. , 2014, Water research.

[25]  P.M.M. van Daal-Rombouts,et al.  Design and performance evaluation of a simplified dynamic model for combined sewer overflows in pumped sewer systems , 2016 .

[26]  P van Daal-Rombouts,et al.  Performance evaluation of a smart buffer control at a wastewater treatment plant. , 2017, Water research.

[27]  Q. Kang,et al.  Optimization and uncertainty assessment of strongly nonlinear groundwater models with high parameter dimensionality , 2010 .

[28]  Cajo J. F. ter Braak,et al.  Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling? , 2009 .

[29]  P A Vanrolleghem,et al.  A phenomenological retention tank model using settling velocity distributions. , 2012, Water research.

[30]  Gürkan Sin,et al.  Multi-criteria evaluation of wastewater treatment plant control strategies under uncertainty. , 2008, Water research.

[31]  J. Langeveld,et al.  KALLISTO: cost effective and integrated optimization of the urban wastewater system Eindhoven , 2012 .

[32]  I. Nopens,et al.  Impact-based integrated real-time control for improvement of the Dommel River water quality , 2013 .

[33]  Cajo J. F. ter Braak,et al.  Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation , 2008 .

[34]  J G Langeveld,et al.  Interactions within the wastewater system: requirements for sewer processes modelling. , 2003, Water science and technology : a journal of the International Association on Water Pollution Research.