Utilising sewer network characteristics for the identification of optimised point-based monitoring systems – INCIDENT
Final Report Abstract
INCIDENT consisted of five work packages aiming at evaluating various numerical codes for simulating groundwater flow and identifying potential sewer-induced contaminations. The first work package evaluated codes for generating artificial sewer networks and concluded that CSG (Case Study Generator) was the only viable option, but it required manual selection of appropriate scenarios. In the second work package, simulations were conducted to investigate percolation flow in the vadose zone, with HYDRUS and ParSWMS selected as simulation tools. The third and fourth work packages aimed to investigate the effects of ambiguities of inverse contamination modelling approaches using various model codes and simulations on different scales. The vulnerability hotspot mapping of a sewer system in Dresden was found to be an efficient method for predicting potential leaking areas. Finally, in the fifth work package an experimental setup was constructed to control parameters affecting GTCAs (groundwater table contaminant areas) and HLSs (Horizontal Line Sources). It could be concluded that leakage detection and source identification becomes more accurate with closer measurements in unsaturated environments. Overall, this study provides valuable insights into numerical codes for simulating groundwater flow and highlights potential approaches for identifying and mitigating contamination in groundwater systems.
Publications
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Predicting polluted regions within aquifers from leaky sewer networks. Groundwater Quality Conference, 9.-12.09.2019, Liège, Belgium
Rojas Gómez K. L., Engelmann C., Binder M., Sadeghikhah A. & Walther M.
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Suitability of precipitation waters as semi-artificial groundwater tracers. Journal of Hydrology, 577, 123982.
Binder, Martin; Burghardt, Diana; Engelmann, Christian; Tritschler, Felix; Simon, Elisabeth; Prommer, Henning; Dietrich, Peter; Liedl, Rudolf & Händel, Falk
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Leaky sewer systems: Influence of soil properties and sewer failure characteristics on the shape of contaminant plumes. EGU General Assembly 4.–8.5.2020, online due to pandemic.
Binder M., Engelmann C., Sadeghikhah A., Schirmer M., Krebs P., Liedl R. & Walther M.
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Biological and Physical Clogging in Infiltration Wells: Effects of Well Diameter and Gravel Pack. Groundwater, 59(6), 819-828.
Kalwa, Fritz; Binder, Martin; Händel, Falk; Grüneberg, Luzie & Liedl, Rudolf
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Determining the impact of flow velocities on reactive processes associated with Enterococcus faecalis JH2-2. Water Science and Technology, 85(1), 485-495.
Chandrasekar, Aparna; Binder, Martin; Liedl, Rudolf & Berendonk, Thomas
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Reactive-transport modelling of Enterococcus faecalis JH2-2 passage through water saturated sediment columns. Journal of Hazardous Materials, 413, 125292.
Chandrasekar, Aparna; Binder, Martin; Liedl, Rudolf & U., Berendonk Thomas
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Single‐Rate Dual‐Domain Mass Transfer Model: Elucidating Temperature Effects. Water Resources Research, 57(4).
Binder, M.; Hahnewald, A.; Händel, F.; Prommer, H.; Engelmann, C.; Burghardt, D.; Stock, P.; Tritschler, F.; Liedl, R. & Walther, M.
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Towards a decentralized solution for sewer leakage detection – a review. Water Science and Technology, 86(5), 1034-1054.
Sadeghikhah, Afshin; Ahmed, Ehtesham & Krebs, Peter
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A parsimonious approach to predict regions affected by sewer-borne contaminants in urban aquifers. Environmental Monitoring and Assessment, 195(12).
Rojas-Gómez, Karen L.; Binder, Martin; Walther, Marc & Engelmann, Christian
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Vulnerability hotspot mapping (VHM) of sewer pipes based on deterioration factors. Urban Water Journal, 20(6), 677-688.
Sadeghikhah, Afshin; Ahmed, Ehtesham; Chakraborty, Sohini; Trülzsch, Stefan & Krebs, Peter
