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: 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

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