Author
Bram Stegeman
Bio: Bram Stegeman is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Sewerage & Data management. The author has an hindex of 2, co-authored 2 publications receiving 26 citations.
Papers
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Norwegian University of Science and Technology1, University of Lyon2, Swiss Federal Institute of Aquatic Science and Technology3, SINTEF4, Delft University of Technology5, University of Tehran6, University of Los Andes7, RWTH Aachen University8, University of Coimbra9, Pontifical Xavierian University10
TL;DR: Sewer asset management gained momentum and importance in recent years due to economic considerations, since infrastructure maintenance and rehabilitation directly represent major investments as discussed by the authors. But it is still a relatively new area.
Abstract: Sewer asset management gained momentum and importance in recent years due to economic considerations, since infrastructure maintenance and rehabilitation directly represent major investments. Becau...
70 citations
23 Sep 2018
TL;DR: In this paper, the DEST method is proposed to detect and quantify exfiltration from sewer systems under variable flow conditions; the method is based on the principle of setting up a mass balance of a tracer substance.
Abstract: Due to the ageing of our underground wastewater infrastructure, leakage of sewers and pressure mains and subsequent infiltration or exfiltration are becoming an increasingly important issue. Herein, we present a novel method to detect and potentially quantify exfiltration from sewer systems under variable flow conditions; the DEST method. The DEST method is based on the principle of setting up a mass balance of a tracer substance. At an upstream point a tracer is injected in a sewer with a constant rate for a certain period, subsequently downstream high frequent time discrete grab samples are combined with discharge measurements to complete the mass balance. The method is applied on a sewer section in Loenen (NL) to investigate its feasibility. Two different tracers are used; Lithium chloride and Deuterium. Preliminary results indicate that both tracers show similar behaviour at the downstream measurement point. Final lab results are expected at the end of March, allowing in depth analysis of the experimental results with a focus on the measurement uncertainty.
2 citations
DOI•
TL;DR: In this paper , a model to simulate the geo-electrical measurement system is developed to investigate the influence and contribution of the model components on the measured current and the validity of the assumptions.
Abstract: ABSTRACT The main application of the mobile geo-electrical measurement is the detection of the presence and determining the location of leakage in sewer systems. To do so, this method relies on the increase in the measured electrical current between an electrode inside and an electrode outside the sewer system. To use this technique for the quantification of leakages further assumptions on the measured current are required. In this study, a model to simulate the geo-electrical measurement system is developed. Laboratory experiments are conducted to investigate the influence and contribution of the model components on the measured current and the validity of the assumptions. The experimental results demonstrate that multiple components significantly contribute to the measured current apart from the leakage in the pipe. As a consequence, the properties of the leakage in the pipe are likely to be significantly under- or overestimated in most measuring systems currently applied in practice.
Cited by
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Norwegian University of Science and Technology1, University of Lyon2, Swiss Federal Institute of Aquatic Science and Technology3, SINTEF4, Delft University of Technology5, University of Tehran6, University of Los Andes7, RWTH Aachen University8, University of Coimbra9, Pontifical Xavierian University10
TL;DR: Sewer asset management gained momentum and importance in recent years due to economic considerations, since infrastructure maintenance and rehabilitation directly represent major investments as discussed by the authors. But it is still a relatively new area.
Abstract: Sewer asset management gained momentum and importance in recent years due to economic considerations, since infrastructure maintenance and rehabilitation directly represent major investments. Becau...
70 citations
TL;DR: In this paper, the authors draw on discussions held during a virtual workshop of the National Science Foundation funded Urban Resilience to Extremes Sustainability Research Network on April 2, 2020.
Abstract: This material is based upon work supported by the National Science Foundation under Award Numbers SES 1444755 and 1934933. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. The authors draw on discussions held during a virtual workshop of the National Science Foundation funded Urban Resilience to Extremes Sustainability Research Network on April 2, 2020. This workshop was attended by UREx researchers and practitioners representing 10 United States and Latin American cities.
30 citations
TL;DR: In this paper , a comprehensive review of the state-of-the-art in the area of Sewer Overflow (SO) has been presented, which provides the researchers and environmental engineers with inclusive hindsight in dealing with such serious issue, which in turn culminates in a significant improvement in our environment as well as humans' well-beings.
18 citations
TL;DR: In this article, a comprehensive review of the state-of-the-art in the area of Sewer Overflow (SO) has been presented, which provides the researchers and environmental engineers with inclusive hindsight in dealing with such serious issue, which in turn culminates in a significant improvement in our environment as well as humans' well-beings.
18 citations
TL;DR: In this article, a review of the knowledge advancements and challenges of sewer exfiltration modelling is presented, and five key research domains for developing more generic framework of large-scale models are defined.
17 citations