Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Session Overview
Date: Tuesday, 23/Aug/2022
1:00pm - 3:00pmTechnical Tour 1: Technical Tours Central Storage Tunnel I
Location: Field trip
Session Chair: Guenter GRUBER
3:00pm - 5:00pmTechnical Tour 2: Technical Tours Central Storage Tunnel 2
Location: Field trip
Session Chair: Guenter GRUBER
3:00pm - 5:00pmWorkshop 1: Workshop CoUDlabs Metrology Toolbox
Location: Seminar room BMTEG038
Session Chair: Jean-Luc Bertrand-Krajewski
5:00pm - 7:00pmWorkshop 2: Workshop Data and Models
Location: Seminar room BMTEG038
Session Chair: Albert Wilhelm König
7:30pm - 11:30pmSocial Event 1: Icebreaker
Location: TU Graz Rooftop cafeteria
Date: Wednesday, 24/Aug/2022
8:00am - 8:50amRegistration 1: Registration and Welcome Coffee
Location: Foyer BMT
8:50am - 9:10amPlenary 1: Opening Ceremony
Location: Lecture Hall BMT
Session Chair: Dirk Muschalla
Session Chair: Albert Wilhelm König
9:10am - 10:20amPlenary 2: In-Sewer Processes 1 - H2S
Location: Lecture Hall BMT
Session Chair: Eran Friedler
9:10am - 9:30am

Hydrogen sulfide control in force mains by in-situ electrochemical generation of dissolved ferrous iron

Asbjørn Haaning Nielsen1, Morten Lykkegaard Christensen2, Mads Koustrup Jørgensen2

1Department of the Built Environment, Aalborg University, Denmark; 2Department of Chemistry and Bioscience, Aalborg University, Denmark

In the present study, a method for sulfide control in sewer systems based on electrchemical oxidation of iron electrodes in the wastewater stream is presened. Both short term laboratory experiments and long term pilot scale experiments have been conducted. The experiments show that the electrochemical oxidation of iron electrodes produce ferrous iron at the anode, which effectively precipitates dissolved hydrogen sulfide. At the same time, alkalinity is generated at the cathode thereby increasing the efficiency of the precipitation process while at the same time making any remaining sulfide less volatile.

9:30am - 9:50am

Implementation of Sewer Ventilation and Process Modelling for Corrosion Control

Adrian Romero-Flores1, Matthew Ward2, Jes Vollertsen3

1Jacobs, United States of America; 2The WATS Guys, United Stated of America; 3Aalborg University, Denmark

  • Operation of odor control systems was improved using ventilation and process models.
  • Improvements also led to a reduction of estimated corrosion rates.

9:50am - 10:10am

Novel methodology for detecting blockages in waste water networks inspired by phase portrait principles

Ben Hamilton1, Slobodan Djordjevic1, Zoran Kapelan1,2

1University of Exeter, United Kingdom; 2Delft University of Technology, The Netherlands

- Presenting novel phase portrait methodology collecting evidence of waste water network blockages

- Novel methodology implemented on blockage case study made with Astlingen hydraulic model

- Integration of this method with control theory makes an automated blockage detection algorithm

10:20am - 10:50amBreak 1: Coffee Break
Location: Foyer BMT
10:50am - 12:00pmPlenary 3: Emerging Issues and New Technologies 1 - SARS-CoV 2
Location: Lecture Hall BMT
Session Chair: Manfred Kleidorfer
10:50am - 11:10am

Evaluation of sampling strategies for upstream sampling for SARS-CoV-2 RNA

Albert Wilhelm König1, Sarah Ariano2, Darko Joksimovic2

1Graz University of Technology, Austria; 2Ryerson University, Toronto, Canada

An engine for water quality simulations of pulse loads in sewer systems was developed

The engine was used to generate synthetic water quality data of SARS-CoV-2 RNA in order to evaluate sampling strategies regarding their suitability for upstream sewer sampling

The evaluation included consistency of the results, their correlation with the number of infected in the catchment and representation of the catchment

11:10am - 11:30am

SARS-CoV 2 adsorption and desorption capacity of passive samplers for wastewater surveillance

Christelle Schang1, Rachael Poon2, Monica Nolan2, Nick Crosbie3, Yussi M. Palacios1, Chi-Wen Tseng1, Rebekah Henry1, David T. McCarthy1

1Department of Civil Engineering, Monash University, Wellington Rd, Clayton, Victoria, 3800, Australia; 2Department of Health and Human Services, 50 Lonsdale St., Melbourne, Victoria, 3000, Australia.a; 3Melbourne Water, 990 La Trobe St, Docklands, Victoria, 3008, Australia.

SARS-CoV-2, the virus responsible for the COVID-19 pandemic, has been found in infected symptomatic and asymptomatic patients’ secretions and showed that human wastewater monitoring has the potential to act as a sensitive surveillance system. Passive samplers have shown to be an effective technique for wastewater surveillance however more needs to be known about their adsorption and desorption kinetics. This study showed that electronegative cellulose nitrate membrane followed a linear adsorption relationship and had a slow desorption for up to 7 days since first exposed to the virus. More work is needed to understand the factors influencing these relationships.

11:30am - 11:50am

Developing an open-source, relational data model for recording SARS- CoV-2 signals across multiple sewersheds

Jean-David Therrien1, Mathew Thomson2, Thomas Maere1, Douglas Manuel2,3, Peter A. Vanrolleghem1

1modelEAU, Université Laval, Québec (QC), Canada; 2Ottawa Hospital Research Institute, uOttawa, Ottawa (ON), Canada; 3Public Health Agency of Canada, Ottawa (ON), Canada

The SARS-CoV-2 pandemic has created a demand for simple and cost-effective ways to monitor the health of populations. Wastewater-based epidemiology (WBE) is a monitoring approach that has gained wide acceptance in recent years. However, the complexity of the wastewater system makes the interpretation of the collected data particularly difficult. The PHES-ODM data model was designed to record and organize all variables of interest for a public health measurement campaign to support data exploration and interpretation. The case of Québec province SARS-CoV-2 surveillance is used to demonstrate how this model can be used to create a structured, reusable data pipeline.
12:00pm - 12:30pmPlenary 4: Flash Presentations Part 1
Location: Lecture Hall BMT
Session Chair: Dirk Muschalla

Water quality modelling with rhodamine WT dye using EPA WASP in an urban drain in Thane, India

Kapil Gupta1, Kuldeep Swarnkar1, Vinay Shivaji Nikam2, Jonathan M Pearson3

1Indian Institute of Technology Bombay, India; 2Enviro-con Urban Hydro-environment Centre, Thane, India; 3University of Warwick, Coventry, U.K.

  • This study aims to model the dissolved oxygen in an urban drain in Thane City in the Mumbai Metropolitan Region in India using EPAs WASP model v 8.32. Field measurements of DO and dye tracing measurements using rhodamine WT (water tracer) dye were carried out to determine the longitudinal dispersion coefficient. The findings of this study provide key data and predictive model for robust assessment of water quality in urban drains during dry weather and monsoon rainfall conditions.

Sewage monitoring to reveal population health and environmental habits – H2020 SCOREWATER PROJECT Barcelona pilot

Christoph Wagner1, Jordi Raich2

1s::can GmbH, Austria; 2scan Iberia Sistemas de Medición S.L.U

For the SCOREWater project a comprehensive scheme of monitoring the sewage network in Barcelona, Spain, was set up. Online monitoring stations are continuously measuring the quality and quantity of wastewater streams from three districts with different socio-economic backgrounds. Additionally, refrigerated autosamplers are taking samples which are later analyzed in the lab.

The network includes partners ranging from public bodies operating the sewage network of Barcelona to public health organizations and public research centers focusing on scientific criteria of sewer epidemiology, artificial intelligence and socioeconomic aspects and is rounded of by policy makers for waste disposal and equipment manufacturers.

Effects of sewage sampling strategy on the representativeness of grab samples for conductivity and turbidity

Ryuichi Watanabe1, Hidenori Harada1, Mariane Y. Schneider2

1Kyoto University, Japan; 2University of Tokyo, Japan

Characterizing the representative sewage quality by the sewage grab sampling as preliminary survey is essential for sewerage development in Southeast Asian countries. In this study, effects of the number of sampling days (Nday) and the number of samples per day (Nsample/day) on the representativeness of grab sampling were discussed with a modeled grab sampling. Increasing Nday contributed to the convergence of the range of relative errors for both conductivity and turbidity. Moreover, increasing Nsample/day would be effective to increase the representativeness of the suspended matter sample. The findings are expected to contribute on the development of appropriate sewage sampling methodology.

Comparing Subwatershed Delineation Methods for New York City Parks in ArcGIS Arc Hydro

Nandan Hara Shetty1, Jeffrey Botula2

1The Citadel, United States of America; 2New York City Parks Department

Collaboration with NYC Parks has identified two competing methods for measuring subwatershed area. The first, a program called Arc Hydro, is a common geospatial model for hydrology that operates within ArcGIS. While Arc Hydro delineates subwatershed boundaries, it requires specialized training and hydraulic data. The second method for drawing subwatersheds is to simply use the standard ArcGIS tools in tandem with elevation data. To compare the benefits of each approach, we delineated subwatersheds for eight of New York City’s parks using the two models. This paper will help point land managers towards the appropriate measurement tool for differing subwatershed situations.

Evaluating the Performance of a Local Real Time Control Project for Flood Risk Reduction in Burton, UK

Saba Rabab1, James Shucksmith1, Alma Schellart1, Alexander Ball2

1University of Sheffield, United Kingdom; 2Severn Trent Water Limited, United Kingdom

  • Implementation of CENTAUR local RTC system to reduce urban flood risk
  • Evaluation of the system performance by using real time operational field data and InfoWorks modelling.
  • Effectiveness of RTC in reducing urban flood risk is considered.

Coupling DSM-flux technology and Node biosensor for BOD monitoring in CSO

Gislain Lipeme1, Mathieu Lepot1, Stéphane Vacherie1, Jean-Michel Monier2

1UNIV LYON, INSA LYON, DEEP, 69621 Villeurbanne, France; 2HYDREKA, A Halma Company, 69009 Lyon, France

CSO are among challenging urban wet weather discharges to manage. They convey contaminated combined sewer waters without any treatment leading to huge impacts on riverine environment. The Device for Stormwater and combined sewer flows Monitoring and the control of pollutant fluxes (DSM-flux) represents a new pre-calibrated and pre-designed device to monitor and control the quantity and the quality of CSO, as well as to trap sediments conveyed in these overflows. A Node biosensor has been intalled in the DSM-flux to monitor BOD. Results demontrate that coupling DSM-flux with biosensor such as Node supports the regulation of CSO for water authorities.

How to get from geodata to sewer models in SWMM by open source

Jannik Schilling, Jens Tränckner

Universität Rostock, Germany

The Stormwater Management Model (SWMM) developed by the US EPA, is a well-established software in the field of urban drainage modelling. So far, SWMM does not provide direct import functions for geodata, although the required information regarding sewer networks and catchment characteristics is usually available as geospatial data. To date, there are mainly script-based open source approaches (e.g. R, python) to convert geodata into an input file for swmm. We want to present an open-source QGIS-plugin that enables the export of geodata (layers, files) to input files for SWMM as well as the import of existing input files into QGIS.

12:30pm - 1:30pmLunch Break 1: Lunch Break - Buffet
Location: Foyer BMT
1:30pm - 3:00pmPlenary 5: Monitoring and Associated Technologies 1 - Measurement Methods
Location: Lecture Hall BMT
Session Chair: Jean-Luc Bertrand-Krajewski
1:30pm - 1:50pm

Towards non-contact pollution monitoring in sewers with hyperspectral imaging

Pierre Lechevallier1,2, Christian Felsheim3, Jörg Rieckermann2

1ETH Zürich, Institute of Environmental Engineering, 8093 Zürich, Switzerland; 2Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland; 3Headwall Photonics, Bolton, USA

Monitoring continuously pollution in the urban drainage system is challenging. Traditional approaches such as sampling campaigns or spectrometric probes have limitations. Using a hyperspectral imaging system to measure light reflection spectra of the wastewater surface is a promising approach for non-contact online measurement of pollution. We acquired hyperspectral data-cube from 18 synthetic wastewater samples. After pre-processing and pixel selection, a cross-validation partial-least square regression was used to predict turbidity (R2=0.923). Further research is planned before the SPN10 to improve the measurement, generate and analyse more data, and explore other indicators such as organic pollution.

1:50pm - 2:10pm

On-site measurement of organic micropollutants with transportable HRMS platform at combined sewer overflows

Viviane Furrer1,2, Heinz Singer1, Christoph Ort1

1Eawag, Switzerland; 2ETH Zürich

  • The MS2field, an automated transportable HRMS platform, allows real-time measurement of dissolved organic micropollutants with a temporal resolution of 20 minutes.
  • The MS2field was adapted to be applied at combined sewer overflows and tested during a four-month field campaign.
  • Results show high temporal variation in concentration of polar organic micropollutants.

2:10pm - 2:30pm

Deployment of a non-invasive optical monitoring system in wastewater pumping stations

Antonio Moreno-Rodenas1, Alex Duinmeijer2, Danko Boonstra1, Christian van Nieuwenhuizen1, Mathieu Lepot3, Francois Clemens1,4

1Deltares, Netherlands, The; 2Municipality of Rotterdam, The Netherlands; 3Un poids une mesure, Lyon, France; 4Norwegian University of Science and Technology, Trondheim, Norway

Accumulation of floating solids (such as plastics, fat, oil and grease) in wastewater pump sumps is a relevant cause of malfunctioning, loss of efficiency and frequent maintenance activities. Recently, we developed a deep-learning based solution to automatically monitor the surface dynamics of floating layers in wastewater pumping stations. We present here the application of this technique to 7 pumping stations (6 in the Netherlands and 1 in France) representative of different urban drainage systems.

2:30pm - 2:50pm

On dirty water and cheap video: Real-time flow measurements derived from camera footage using an Open-Source ecosystem

Robert Meier1, Franz Tscheikner-Gratl1, David B. Steffelbauer1,2, Christos Makropoulos1,3

1Norwegian University of Science and Technology; 2Kompetenzzentrum Wasser Berlin; 3National Technical University of Athens

Sensors used for wastewater flow measurements are robust and expensive pieces of hardware that must be maintained regularly to function in the hazardous environment of sewers. Remote sensing can remedy these issues. We utilize off‐the‐shelf cameras and convolutional neural networks to extract the water level and surface velocity from camera images directly, without the need for artificial markers in the sewage stream. In a laboratory setting, our method estimates the water level with an accuracy of ±2.48% and the surface velocity with an accuracy of ±2.08% —a performance comparable to other state‐of‐the‐art solutions.

3:00pm - 3:30pmBreak 2: Coffee Break
Location: Foyer BMT
3:30pm - 5:00pmPlenary 6: Design and Operation 1 - Sewer Inspection
Location: Lecture Hall BMT
Session Chair: Jes Vollertsen
3:30pm - 3:50pm

Defect Assessment of Sewer Pipes Based on CCTV Inspections

Zahra Tizmaghz, Kobus JE van Zyl, Theuns Henning

The University of Auckland, New Zealand


  • Eight categories of defects were identified in 2700 sewer pipes in Auckland, New Zealand based on recent CCTV inspection reports.
  • The correlation between eight defect categories and several physical and environmental factors, including age and groundwater level were investigated.
  • Statistically significant relationships were found between defect categories and factors that provide new insights into the drivers of deterioration processes in sewer pipes.

3:50pm - 4:10pm

Application of the sewer drone in inspection of large sewers and special structures

Andreas Obermayer, Klaus Jilg, Siqi Tong


This article introduces the theory and practical application of sewer drone in inspection of large sewers and special engineering structures. Important parameters about sewer drone regarding optimal flying conditions are given and the procedures of post processing of data collected during drone flghts are described. In addition, possibilities as well as limitations in the use of drone for sewer inspection are discussed. With the rapid advance of technology, it can be anticipated in the near future that more possibilites in drone inspection can be exploited as additional support to the conventional sewer inspection methods.

4:10pm - 4:30pm

A stepwise approach to search for illicit connections in the storm sewers of Berlin: using EC and DTS

Michel Gunkel1, Mathias Riechel2, Daniela Böckmann3, Remy Schilperoort4, Franziska Gehring1, Holger Hoppe3, Nicolas Caradot2, Johan Post4, Jeroen Langeveld4

1Berliner Wasserbetrieb, Germany; 2Kompetenzzentrum Wasser Berlin, Germany; 3Dr. Pecher AG, Germany; 4Partners4UrbanWater, The Netherlands

  • The Berlin Fennsee is suffering from surface water quality issues probably related to illicit connections to storm sewers in the area.
  • In a stepwise approach, a network of electrical conductivity (EC) sensors was first deployed to identify hotspot areas that likely contain illicit connections.
  • In a second step, Distributed Temperature Sensing (DTS) was used in one hotspot area to identify the exact location of an illicit connection with multiple discharges per day.

4:30pm - 4:50pm

Quick 3D scans from the surface for pipeline inspections based on electrical tomography

Pekka Tuominen, Juhani Korkealaakso, Antti Knuuti

Deep Scan Tech, Finland

This pilot project demonstrates the use of a novel 3D scanning technology, based on electric tomography and applied from the surface, for identifying and locating underground sewer leaks. As the scans also reveal different soil types and the position of the pipelines, they can reveal the reasons causing pipeline leaks, such as gradual soil movements. Moreover, the aim is to assess the performance, replicability and scalability of the technology for mapping risk areas in large scale. In this pilot a pipeline of 2.5 km was scanned in varying terrain, including across a creek and under a paved road.

5:00pm - 5:30pmWorking Group 1: Sewer Systems and Processes Working Group Meeting
Location: Seminar room BMTEG038
Session Chair: Jes Vollertsen
Session Chair: Dirk Muschalla
5:30pm - 6:00pmWorking Group 2: Metrology Working Group Meeting
Location: Seminar room BMTEG038
Session Chair: Francois Clemens
6:30pm - 7:30pmSocial Event 2: Champagne Reception
Location: Restaurant Schlossberg
7:30pm - 10:30pmSocial Event 3: Conference Gala Dinner
Location: Restaurant Schlossberg
Date: Thursday, 25/Aug/2022
8:00am - 8:50amRegistration 2: Registration and Welcome Coffee
Location: Foyer BMT
8:50am - 10:20amPlenary 7: Emerging Issues and New Technologies 2 - Approaches and Techniques
Location: Lecture Hall BMT
Session Chair: Thomas Walter Ertl
8:50am - 9:10am

Future of Food Waste Disposers: what is the potential for energy recovery at wastewater treatment plants?

Abigail Legge, Henriette Jensen, Andy Nichols, Simon Tait, Richard Ashley

University of Sheffield, United Kingdom

Foodwaste disposers provide a disposal route for consumers that could contribute to circular economy opportunities. This eliminates handling of foodwaste and makes use of existing anaerobic digestion facilities at many treatment works. During in-sewer transport organic matter is utilised by heterotrophic microorganisms. The amount of organic matter that will be turned into CO2 during in-sewer transport needs to be estimated to understand the energy recovery potential. A mass balance can be used to estimate how much anaerobic digestion can be boosted by foodwaste. The presented experiments determine the COD of food waste and the rate of in-sewer degredation.

9:10am - 9:30am

Experimental evaluation of the storm water control performance of a modular blue roof in Mediterranean climate.

Alberto Campisano, Aurora Gullotta, Carlo Modica, Fabrizio Musmeci

University of Catania, Italy

The paper discusses results of the long-term monitoring of a full-scale pilot installation of a modular blue roof (BR) for the control of the runoff from the roof terrace of a building in the campus of the University of Catania (Italy). The BR was installed in one catchment of the rooftop while another symmetrical catchment was left unmodified and monitored to allow comparison. Results of the analysis have shown average 54% retention efficiency and 72% detention efficiency of the BR. The BR always overperformed the conventional roof, with mean 34% runoff reduction and mean 60% flow peak attenuation.

9:30am - 9:50am

From household inflows to the WRRF: modelling thermal-hydraulic dynamics with a hybrid framework

Alejandro Figueroa, Bruno Hadengue, Jörg Rieckermann

Eawag, The Swiss Federal Institute of Aquatic Science and Technology, Switzerland

We present a framework based on WaterHub, MINUHET and SWMM-HEAT that enables thermal-hydraulic simulations from household inflows to the wastewater resource recovery facility. We validate the framework with real-world data across seasons and precipitation events. In addition, we analyse how decentralized heat recovery devices impact wastewater temperatures at the WRRF during precipitation events.

9:50am - 10:10am

Automatic generation and design of realistic sewer networks based on open access data

Julian David Reyes-Silva, Diego Novoa, Björn Helm, Peter Krebs

TU Dresden, Germany

Data for the proper development of urban drainage models is not always available or accessible. To overcome this, several approaches have focused on generating virtual UDNs with similar properties as real systems. However, they are not adequate to analyze local processes (e.g. urban flooding), since they generate systems with generic layouts or properties. In this context, the present work focuses on developing a tool to automatically generate and design more realistic sewer networks based on open access data. Results suggest that the tool is able to generate drainage systems with realistic hydraulic and spatial characteristics

10:20am - 10:50amBreak 3: Coffee Break
Location: Foyer BMT
10:50am - 12:00pmPlenary 8: Emerging Issues and New Technologies 3 - SARS-CoV 2
Location: Lecture Hall BMT
Session Chair: Darko Joksimovic
10:50am - 11:10am

Whole campus wastewater surveillance of SARS-CoV-2 for COVID-19 outbreak management

Yehonatan Sharaby, Yael Gilboa, Yuval Alfiya, Sara Sabach, Uta Cheruti, Eran Friedler

Technion - Israel Institute of Technology

In this long-term study students’ accommodation in the Technion were monitored through wastewater surveillance. Results were used to create a ‘traffic-light’ scheme allowing the Technion’s COVID-19 committee to follow the COVID-19 spread in the campus. 87.4% of the samples were negative for SARS-CoV-2 RNA while 11.5% were positive, corroborating morbidity information the COVID-19 committee had. 1.1% of the samples were positive, while the committee had no information about positive students. In these events, new cases were identified after students were tested for COVID-19. The study emphasises the importance of wastewater-based epidemiology for COVID-19 monitoring, and as an early warning system.

11:10am - 11:30am

Wastewater based epidemiology: deriving Omicron shedding rates from sewer data

jeroen langeveld1, johan post2, remy Schilperoort2, gertjan medema3

1tu delft; 2partners4urbanwater; 3kwr

Wastewater surveillance or wastewater based epidemiology (WBE) for SARS-CoV-2 has seen a rapid development since early 2020. Several authors have attempted to model the incidence data derived from the number of positive tests in formal testing facilities, using sewer data. In this abstract, we describe the research performed aiming to derive Omicron shedding rates based on sewer and incidence data.

11:30am - 11:50am

Passive Sampling for Sewage Surveillance: A review

Elnaz Karamati Niaragh1, Rebekah Henry1, Heather M Murphy2, Ilya Law2, Yussi Palacios Delgado1, David T McCarthy1

1Environmental and Public Health Microbiology Laboratory (EPHM Lab), Department of Civil Engineering, Monash University, Wellington Rd, Clayton, Victoria, 3810, Australia; 2Water, Health and Applied Microbiology Laboratory, Department of Pathobiology, University of Guelph

  • Passive sampling was an effective tool for detecting a range of pathogens in sewage.
  • Passive samplers have been progressively optimized for wastewater-based epidemiology.
  • Results of SARS-CoV-2 provide another step for promising applications of the passive sampler.
12:00pm - 12:30pmPlenary 9: Flash Presentations - Part 2
Location: Lecture Hall BMT
Session Chair: Simon Tait

(Sub-)Catchment delineation with different levels of geographical data: which effects on combined sewer overflow modelling?

Violeta A. Montoya-Coronado1, Leana Souillard1, Richard Gaubert1, Pascal Molle2, Damien Tedoldi1, Gislain Lipeme Kouyi1

1Institut National des Sciences Appliquées de Lyon (INSA Lyon), France; 2INRAE, Research Unit REVERSAAL, Lyon, France

The ability of Sustainable Urban Drainage Systems (SUDS) to mitigate Combined Sewer Overflows (CSO) is often studied through a catchment-scale modeling approach. Simulation accuracy depends on field data such as catchment and sub-catchment boundaries, and sewer system characteristics. The present study proposes a methodology for (sub-)catchment delineation depending on the available geographic information data. Four scenarios with increasing complexity of input data are proposed and tested in different urban catchments, followed by hydrological modeling to compare flow dynamics. Current results show a better estimation of total runoff volume when topography is available, even if the sewer network plans are unknown

Development of BANPOL model for water quality predictions in urban sewer system


Chungnam National University, Korea, Republic of (South Korea)

Most of hydrological models do not consider sewer effect on transport and fate of water and pollutants, respectively, and thus they have limited applicability in urban area with complicated sewer system. The BANPOL model was developed to strengthen water quality modelling capacity of SWMM especially for pervious area and also in the sewer or channel. The model also can provide boundary condition for dynamic surface water quality model such as EFDC while original SWMM only provides information on independent water quality variables. The model was successfully calibrated for flow rate and water quality in an urban stream

Forensic Sewer Process Modelling – Anticipating a Terrorist Attack

Matthew Ward1, Adrian Romero2, Jes Vollertsen3

1The WATS Guys, Inc., United States of America; 2Jacobs, United States of Ameria; 3University of Aalborg, Denmark

I was told by Mr. Konig to upload a .pdf version of my abstract. Why is there no option to do that? Also, the website explains that two page abstracts will be accepted. the 100 words allowed here is not two pages.

Spacio-temporal and multivariate calibration of an integrated urban wastewater model

Fernanda Mendes1, Frédéric Pierre2, Claude Valentin3, Thibaud Maruéjouls1

1SUEZ WATER FRANCE - LyRE, France; 2ODIVEA, Dijon Metropolitan water management company, France; 3Dijon Metropolitan, France

- Multi data type used for calibration: sensor and samples; minute, daily and yearly frequencies.

- Development of a specific multivariate-based aeration controller for activated sludge.

- A decision support tool identifying receiving water quality impacts of management decisions.

Better understanding in-sewer processes with on-site continuous mass spectrometric analysis of sewer gases

Mengqi Zhu1,2, Jörg Rieckermann1, Matthias Brennwald1, Jes Vollertsen3, Rolf Kipfer1,4,5

1Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland; 2ETH Zürich, Institute of Environmental Engineering, 8093 Zürich, Switzerland; 3Aalborg University, Department of the Built Environment, 9220 Aalborg, Denmark; 4ETH Zürich, Institute of Biogeochemistry and Pollutant Dynamics, 8092 Zürich, Switzerland; 5ETH Zürich, Institute of Geochemistry and Petrology, ETH Zürich, 8092 Zürich, Switzerland

We performed continuous measurements of noble gases in sewers for the first time used a novel portable mass spectrometer. A case study regarding using noble gases as tracers to estimate groundwater infiltration showed the potentials of using miniRuedi on urban drainage tracing studies. Although the technology looks very promising in general, infiltration assessment is impacted by unknown boundary conditions, such as gas dilution in the headspace/ventilation.

12:30pm - 1:30pmLunch Break 2: Lunch Break - Buffet
Location: Foyer BMT
1:30pm - 3:00pmPlenary 10: Monitoring and Associated Technologies 2 - Data and Uncertainties
Location: Lecture Hall BMT
Session Chair: Francois Clemens
1:30pm - 1:50pm

Machine learning to improve understanding of pipe failures

Ehsan Kazemi, Will Shepherd, Simon Tait

University of Sheffield, United Kingdom

Historical data collected from a sewer network covering a town with a population of about 50k, with 180 km of predominantly combined sewers is analysed to understand potential causes of incidents, such as blockage and flooding, on the network. For this purpose, Machine Learning (ML) models are developed to identify the major relationships between different elements of the system, and then estimate the risk of incidents through quantifying the identified relationships. This risk relationship can be used to plan pro-active inspection of pipes to reduce the likelihood of failures occurring.

1:50pm - 2:10pm

Using centrality measures, network cross k-function and geographically weighted regression as decision support for operational issues and redesigning sewers

Emmanuel Okwori, Maria Viklander, Annelie Hedstrom

Lulea University of Technology, Sweden

The topology of Sanitary Sewer Networks (SSNs) can play an influential role in the occurrence and magnitude of operational failures such as blockages and basements flooding. It could be argued that the spatial behaviour of operational failures may be related to the topology of SSNs. This article explored this argument by investigating the spatial association between the location of recurrent blockages and influential nodes within the network topology using centrality measures and the network cross-K-function. Results from a preliminary application to the SSN of one municipality (total network length 500 km, »40 people/km) using its historical blockage data are presented.

2:10pm - 2:30pm

Image Based Quantification of Solids Transport and Transformation Processes in Sewer Pipes

Yonatan Zohar, Roni Penn

Technion – Israel Institute of Technology, Israel

  • Establishment of an innovative imaged based experimental set up for the quantification of sewer solids transport and transformation processes.
  • Erosion was found as the major disintegration process of faeces. The erosion rate increased with the increase of flow velocity and water content of the solid.
  • The minimum flow velocity from which the solids were stationary and hardly disintegrated was 0.22 m/s, highlighting the potential of implementing water efficient solutions.

2:30pm - 2:50pm

How reusable are your data? - Towards truly FAIR open data for urban drainage

Jörg Rieckermann1, Pierre Lechevallier1, Jon Agustsson2, Luca Rossi3, Simon Tait4

1Swiss Federal Institute of Aquatic Science and Technology (Eawag), Switzerland; 2Swiss Federal Institute of Technology Lausanne (EPFL); Switzerland; 3SINEF SA, Givisiez, Switzerland; 4The University of Sheffield, United Kingdom

Generating new insight from existing data is a major cornerstone of the scientific process. Re-using existing observations with a fresh idea, possibly including complementary datasets, may answer questions that the initial investigators did not even consider. Unfortunately, in the urban drainage area only very few Open Research Datasets (ORD) exist. Reusing observations in our field is challenging, among other things, because the required meta-data, e.g. on sensor calibration and maintenance, are lacking. In this contribution, we critically review some examples of urban drainage ORD. We find that bottlenecks are mostly concerned with the interoperability and the reusability of the data.

3:00pm - 3:30pmBreak 4: Coffee Break
Location: Foyer BMT
3:30pm - 4:40pmPlenary 11: In-Sewer Processes 2 - H2S
Location: Lecture Hall BMT
Session Chair: Roni Penn
3:30pm - 3:50pm

H2S control through an original channel

Gislain Lipeme, Gaëlle Ducom, Françoise Jolly, Pierre Buffiere

UNIV LYON, INSA LYON, DEEP, 69621 Villeurbanne, France

Hydrogen sulphide (H2S) is one of the most common gases encountered in gravity sewers. It causes odour nuisance and is also dangerous for humans. It can have serious consequences on the health of sewage workers. In this paper a nature-based solution favouring the release of H2S and its filtration in an original channel is proposed and is evaluated through CFD modelling approach.The proposed channel operates in a proper way. The hydraulic jump increases the turbulent kinetic energy leading to the massive release of H2S. Then natural ventilation directs the air to the filter.

3:50pm - 4:10pm

Liquid H2S Online Measurement for Optimized Sewer System Insights and H2S Control

Marie INIZAN1, Tim ALIG2

1Hach, France; 2Hach, USA

In order to prevent corrosion in the collection system and prevent public complaints caused by nuisance odours, water utilities use chemicals to mitigate hydrogen sulfide (H2S). By dynamically adjusting the chemical dosing rate to match real-time liquid-phase H2S concentrations from an online sensor, the effectiveness of ferrous sulfate (FeSO4) dosing at the end-of-pipe improved while chemical consumption dropped by 50%.

4:10pm - 4:30pm

Continuous measurement of dissolved sulphide in sewers

Esther Vollertsen1, Yansi Jesuloganathan2, Bo Snediker Jacobsen2, Jes Vollertsen3

1EnviDan A/S; 2Aarhus Water A/S; 3Aalborg University, Denmark

The city of Aarhus, Denmark, with its 400,000 PE and its 1,632 km of sewers, experiences odour and corrosion problems. These have intensified over the last decades as wastewater treatment has been centralized, combined systems converted to separate ones, and water consumption has declined. In this presentation, a catchment-wide measuring campaign of pH and dissolved H2S gas (using SulfiLoggerTM) is presented, and benefits and issues related to the approach discussed. Finally, the applicability for calibrating a sewer process model, Mega-WATS, is touched on.

4:40pm - 6:00pmPoster Session: Poster Session with cash bar
Location: Foyer BMT
7:00pm - 8:00pmSocial Event 4: Guided City Tour
Location: Meeting Point Guided City Tour
Date: Friday, 26/Aug/2022
8:00am - 8:50amRegistration 3: Registration and Welcome Coffee
Location: Foyer BMT
8:50am - 10:20amPlenary 12: In-Sewer Processes 3 - Sediments
Location: Lecture Hall BMT
Session Chair: Kapil Gupta
8:50am - 9:10am

Improving sediment monitoring strategies based on SWMM-HEAT and temperature sensors

Manuel Regueiro-Picallo1,2, Alejandro Figueroa1, Jörg Rieckermann1

1Eawag, Swiss Federal Institute of Aquatic Science and Technology; 2Universidade da Coruña

  • A generally-applicable approach was developed to identify potential locations where sediment accumulation occur based on sewer network hydrodynamics.
  • Sewer network thermodynamics were used to simulate sewer temperature patterns from which sediment accumulation could be estimated.
  • The combination of previous analyses led to an effective strategy for determining the deployment of sediment accumulation monitoring devices.

9:10am - 9:30am

Validation of sediment transport models in a stormwater network using high-resolution turbidity data

Karen Lorena Rojas-Gomez1,2, Julian Reyes-Silva2, Jakob Benisch2, Björn Helm2, Manfred Schütze3, Peter Krebs2

1Helmholtz-Centre of Environmental Research – UFZ, Germany; 2Technische Universität Dresden, Institute of Urban Water Management; 3ifak e. V. Magdeburg, Department Water and Energy

Predicting sediment transport at urban catchment scale is a challenge. In this study we aimed to validated a new simplified approach to simulate sediment transport in a stormwater network. We used turbidity and discharge data measured at the outlet of a small urban catchment in Dresden, Germany. The high-resolution data was useful for calibration and validation of the couple model developed using the new approach. The representation of the mobilisation of sediments in the stormwater network was significantly improved. This simplified approach allows a more accurate prediction of the total transported mass of sediments during a rainfall event.

9:30am - 9:50am

First flush assumptions in pollution management for separate stormwater systems: debunking a classical urban (drainage) myth

Ditte Marie Reinholdt Jensen1,2,3, Santiago Sandoval4,5, Jean-Luc Bertrand-Krajewski4, Peter Steen Mikkelsen1, Luca Vezzaro1

1Technical University of Denmark, Denmark; 2Chinese Academy of Sciences, China; 3Sino-Danish Center for Education and Research, Denmark & China; 4Institut National des Sciences Appliquées, France; 5University of applied Sciences of Western Switzerland, Switzerland

We reviewed the various definitions of First Flush (FF) investigated in the last half century.

We applied the different FF definitions to a high-resolution dataset of 363 events.

We showed that First Flush is observed in only a minor fraction of the observed events, highlighting the environmental risks using the FF concept for pollution control.

9:50am - 10:10am

New approach for condition-based sewer inspection combined with demand-based sewer cleaning assisted through innovative tools

Thomas Walter Ertl1, Hanns Plihal2, Karsten Kerres3

1University of Natural Resources and Life Sciences, Vienna, Austria; 2AEP Consulting ZT GmbH, Achau, Austria; 3University of Applied Sciences, Aachen, Germany

In Austria and Germany many sewer operators want to turn from mandatory interval-based cleaning and inspection to demand-based cleaning and condition-based inspection strategies. This requires new tools and technologies. So-called manhole-zoom cameras have been developed for a quick view into sewers. The novel aspect of that approach is the combination of a demand-based cleaning strategy with a condition-based inspection strategy by using alternative inspection tools. To conclude the new approach is promising for optimization of operational issues in sewer management and should be implemented in sewer utilities.

10:20am - 10:50amCoffee 5: Coffee Break
Location: Foyer BMT
10:50am - 12:20pmPlenary 13: Sewer-System Impacts 1 - CSOs
Location: Lecture Hall BMT
Session Chair: Jeroen Langeveld
10:50am - 11:10am

Verification of the Effectiveness of HydroSpin (WSCD)

Ingo Mayer1, Jörg Steinhardt2, Abel Tagne1

1Steinhardt GmbH - Wassertechnik, Germany; 2Steinhardt Consulting GmbH

HydroSpin ist ein Wasseroberflächenkontrollgerät (WSCD), das in CSO-Kammern installiert und entwickelt wurde, um das Einleiten von Schwimmfähigen in aufnehmende Gewässer zu reduzieren. HydroSpin induziert einen Wirbelstrom, der eingehende Floatables in Richtung des nachgeschalteten Abwasserkanals (Auslass) leitet. Dieses System wird ausschließlich durch den Abwasserstrom mit Strom versorgt, so dass keine Stromversorgung erforderlich ist.

In dieser Studie wurden sowohl Labortests als auch numerische Modellierungen durchgeführt, um den Einfluss von sich ändernden Wasserständen und installierten Durchflussreglern auf die Effizienz des HydroSpin-Systems zu untersuchen. Aus diesen Untersuchungen werden mögliche technische Anpassungen des Systems abgeleitet.

11:10am - 11:30am

HAPPy to Control: A Heuristic And Predictive Policy for RTC

Job Augustijn van der Werf1, Zoran Kapelan1, Jeroen Langeveld1,2

1Delft University of Technology, Netherlands, The; 2Partners2Urbanwater

Real Time Control (RTC) can improve the functioning of a sewer system and real-time optimisation tends to function best. However, for larger system, this optimisation-based, global form of control cannot always be applied due to computational limitations. Dynamically selecting the most relevant actuators for optimisation and thereby reducing the search space and model complexity is presented here as an effective potential: combining heuristic and model predictive control in a dynamic policy. This method was compared to a full-system MPC and shown only minor efficacy loss, whilst allowing for faster convergence to an optimal set op actuator settings.

11:30am - 11:50am

How do you sample annual pollution loads at sewer overflows and outlets during rainy weather?

Guenter GRUBER1, Markus PICHLER1, Thomas HOFER2, Roman MAIER3, Manfred CLARA4

1Graz University of Technology, Graz, Austria; 2Ingenieurgemeinschaft DI Anton BILEK und DI Gunter KRISCHNER GmbH, Graz, Austria; 3Holding Graz Wasserwirtschaft, Graz, Austria; 4Umweltbundesamt GmbH (Environment Agency Austria), Vienna, Austria

Stormwater runoff from urban areas can contain a large number of micropollutants. Within the Austrian TEMPEST project, volume-proportional annual composite samples were to be generated in order to be able to make a metrological estimation of the discharged annual micropollutant loads in the investigated sewer systems. The sampling strategy chosen, the experience gained during sampling and the results obtained from sampling in a combined and in a stormwater sewer in the TEMPEST investigation area South in Graz, Austria are described and discussed in this paper.

11:50am - 12:10pm

Bacteroides community fingerprints for SourceTracker: a powerful tool to track sewage contamination in recreational water

Yussi M. Palacios, Rebekah Henry, Christelle Schang, Peter Kolotelo, David T. McCarthy

Monash University, Australia

This study used SourceTracker (ST) to compare the proportion of contamination from raw sewage and animal faeces in recreational water, using the universal V3-V4 region of the 16S rRNA gene (MC) versus the Bacteroides specific 16 rRNA gene (BC). Positive correlation found between E.coli concentration and raw sewage contamination using Bacteroides communities (BC) as a fingerprint. Using BC, a higher faecal contamination attribution was observed than by using MC. These results have increased the capacity of ST for microbial source tracking, which is crucial for its possible implementation in management and mitigation strategies activities by public health authorities.

12:20pm - 1:20pmLunch Break 3: Lunch Break - Buffet
Location: Foyer BMT
1:20pm - 2:30pmPlenary 14: Monitoring and Associated Technologies 3 - New Concepts
Location: Lecture Hall BMT
Session Chair: Slobodan Djordjević
1:20pm - 1:40pm

An innovative, low-cost, small MAD-AS sampler for wastewater sampling in the sewage network


Monash University, Australia

An innovative low-cost sampler is developed which can be easily installed in the sewage network to take time-weighted composite samples. The sampler can fulfil different sampling requirements by uploading a custom program to the Arduino based sampler. After the comparison between the innovative low-cost sampler and the traditional autosampler, the results showed that the innovative low-cost sampler is able to provide a reliable result in bacteria indicators (E.coli and Enterococci) and specific virus (SARS-CoV-2). In this case, the innovative low-cost sampler can be applied in wastewater sampling projects for high spatially distributed sewage sampling.

1:40pm - 2:00pm

Molecular analysis of soil and water from urban flood sites to identify seasonal changes in health risk from microbial communities

Sophie Scutt1, James Shucksmith1, Henriette Jensen1, Jacqueline Diaz-Nieto2, Isabel Douterelo1

1Univeristy of Sheffield, United Kingdom; 2Severn Trent Water, United Kingdom


  • Effects of climate change- causing extreme hydrological events- increases occurences of urban floods.
  • Floodwater contains potentially dangerous levels of disease causing pathogenic bacteria,
  • Lab and field work, along with flow cytometry and next generation DNA sequencing used to determine the behaviour of pathogens and their mobility and movement in urban soils.

2:00pm - 2:20pm

Characterisation and development of a novel low-cost radar velocity and depth sensor

Stephen Catsamas, Baiqian Shi, Miao Wang, David McCarthy

Monash Univserity, Australia

The monitoring of urban waste and stormwater systems is fundimental to the assesment of their health and functionality. Current commercial solutions for monitoring water depth and velocity are expensive and labour intensive to install. New low-cost sensing technologies achieve orders of magnitude improvements in deployment labour and costs, enabling monitoring of waterways at a higher resolution than previously feasible. Here we present the development and characterisation of a field-ready radar depth and velocity sensor. We find that the sensor presents a linear response with error in the gradient of less than 6% and 4% for velocity and depth respectively.

2:30pm - 3:00pmClosing Ceremony: Closing Ceremony
Location: Lecture Hall BMT
Session Chair: Dirk Muschalla
Session Chair: Albert Wilhelm König
3:00pm - 5:00pmTechnical Tour 3: Technical Tours Central Storage Tunnel 3
Location: Field trip
Session Chair: Guenter GRUBER
Date: Saturday, 27/Aug/2022
10:00am - 7:00pmSocial Event 5: Trip to the South Styrian Wine Road
Session Chair: Albert Wilhelm König

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