Abstract
The key issue in urban drainage (UD) systems, looking from a control engineering perspective, is operation. Measurements, feedback, control and automation are tools to address the challenges. Measurement technology combined with analysis and parameter estimation are used to obtain relevant information for decision and control. The UD control problem is truly multivariable with many sensors and actuators. A major concern is how to define performance indices that reflect requirements from the natural and urban environment and how to translate this into operational variables. This makes the UD system operation a multi-objective control problem.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ahm, M., Thorndahl, S., Nielsen, J.E., Rasmussen, M.R.: Estimation of combined sewer overflow discharge: a software sensor approach based on local water level measurements. Water Sci. Technol. 74(11), 2683–2696 (2016)
Åström, K.J., Murray, R.M.: Feedback Systems: An Introduction for Scientists and Engineers. The complete book is available for free on the web, called FBSwiki (2014). http://www.cds.caltech.edu/~murray/amwiki/index.php/Main_Page. Accessed 15 Feb 2018
Barr, J.: Stopping the Spread of Sickness with Sewage? Slice of MIT. An MIT Alumni Association Publication (2016). https://alum.mit.edu/slice/stopping-spread-sickness-sewage. Accessed 24 Apr 2018
Bauwens, W., Vanrolleghem, P.A., Smeets, M.: An evaluation of the efficiency of the combined sewer - wastewater treatment system under transient conditions. Water Sci. Technol. 33(2), 199–208 (1996)
Beeneken, T., Erbe, V., Messmer, A., Reder, C., Rohlfing, R., Scheer, M., Schütze, M., Schumacher, B., Weilandt, M., Weyand, M.: Real time control (RTC) of urban drainage systems – a discussion of the additional efforts compared to conventionally operated systems. Urban Water J. 10(5), 293–299 (2013)
Beheshti, M., Sagrov, S., Ugarelli, R.: Infiltration/Inflow assessment and detection in urban sewer system. Innsendte Artikler 01, 24–34 (2015)
Benedetti, L., Prat, P., Nopens, I., Poch, M., Turon, C., De Baets, B., Comas, J.: A new rule generation method to develop a decision support system for integrated management at river basin scale. Water Sci. Technol. 60(8), 2035–2040 (2009)
Benedetti, L., Langeveld, J., Comeau, A., Corominas, L., Daigger, G., Martin, C., Mikkelsen, P.S., Vezzaro, L., Weijers, S., Vanrolleghem, P.A.: Modelling and monitoring of integrated urban wastewater systems: review on status and perspectives. Water Sci. Technol. 68(6), 1203–1215 (2013)
Bertrand-Krajewski, J.-L., Bardin, J.P., Mourad, M., Beranger, Y.: Accounting for sensor calibration, data validation, measurement and sampling uncertainties in monitoring urban drainage systems. Water Sci. Technol. 42(2), 95–102 (2003)
Butler, D., Parkinson, J.: Towards sustainable urban drainage. Water Sci. Technol. 35(9), 53–63 (1997)
De Bénédittis, J., Bertrand-Krajewski, J.-L.: Infiltration in sewer systems: comparison of measurement methods. Water Sci. Technol. 52(3), 219–227 (2005)
Dong, X., Zeng, S., Chen, J., Zhao, D.: An integrated urban drainage system model for assessing renovation scheme. Water Sci. Technol. 65(10), 1781–1788 (2012)
Duncan, A.P., Chen, A.S., Keedwell, E.C., Djordjevic, S., Savic, D.: Urban flood prediction in real-time from weather radar and rainfall data using artificial neural networks. In: Radar and Hydrology, Proceedings of a Symposium held in Exeter, UK, April (IAHS Publ. 351, 2012), pp. 568–573 (2011)
Duncan, A., Chen, A.S., Keedwell, E., Djordjevic, S., Savic, D.: RAPIDS: early warning system for urban flooding and water quality hazards. In: Machine Learning in Water Systems Symposium: Part of AISB Annual Conference, pp. 1–5 (2013)
Ellis, J.B., Bertrand-Krajewski, J.-L.: Assessing Infiltration and Exfiltration on the Performance of Urban Sewer systems (APUSS). IWA Publishing, London (2010). ISBN 184339149X. ISBN 13 9781843391494
Erbe, V., Schütze, M.: An integrated modelling concept for immission-based management of sewer system, wastewater treatment plant and river. Water Sci. Technol. 52(5), 95–103 (2005)
Fu, G., Butler, D., Khu, S.-T.: Multiple objective optimal control of integrated urban wastewater system. Environ. Model. Softw. 23(2), 225–234 (2008)
Gao, J., Li, J., Jiang, G., Yuan, Z., Eaglesham, G., Covaci, A., Mueller, J.F., Thai, P.K.: Stability of alcohol and tobacco consumption biomarkers in a real rising main sewer. Water Res. 138, 19–26 (2018). https://doi.org/10.1016/j.watres.2018.03.036
Ganigué, R., Jiang, G., Liu, Y., Sharma, K., Wang, Y.-C., Gonzalez, J., Nguyen, T., Yuan, Z.: Improved sulfide mitigation in sewers through on-line control of ferrous salt dosing. Water Res. 135, 302–310 (2018). https://doi.org/10.1016/j.watres.2018.02.022
GarcÃa, L., Barreiro-Gomez, J., Escobar, E., Téllez, D., Quijano, N., Ocampo-Martinez, C.: Modeling and real-time control of urban drainage systems: a review. Adv. Water Resour. 85, 120–132 (2015)
Gernaey, K., Jeppsson, U., Vanrolleghem, P.A., Copp, J.B.: Benchmarking of control strategies for wastewater treatment plants. Scientific and Technical Report No. 23. IWA Publishing (2014)
Ghimire, B., Chen, A.S., Guidolin, M., Keedwell, E.C., Djordjević, S., Savić, D.A.: Formulation of a fast 2D urban pluvial flood model using a cellular automata approach. J. Hydroinform. 15(3), 676–686 (2013)
Grum, M., Thornberg, D., Christensen, M.L., Shididi, S.A., Thirsing, C.: Full-scale real time control demonstration project in Copenhagen’s largest urban drainage catchments. In: Proceedings of the 12th International Conference on Urban Drainage, Porto Alegre, Portugal (2011)
Guidolin, M., Chen, A.S., Ghimire, B., Keedwell, E.C., Djordjević, S., Savić, D.A.: A weighted cellular automata 2D inundation model for rapid flood analysis. Environ. Model Softw. 84, 378–394 (2016)
Harmes, J.: Smart metering …. for sewers? Water Fin. Manag. (2016). https://waterfm.com/smart-metering-sewers/. Accessed 23 Apr 2018
Harremoës, P.: Integrated urban drainage, status and perspectives. Water Sci. Technol. 45(3), 1–10 (2002)
Harremoës, P., Rauch, W.: Optimal design and real time control of the integrated urban run-off system. Hydrobiologia 410, 177–184 (1999)
Hosain, S.Z.: Reality check: 50B IoT devices connected by 2020 – beyond the hype and into reality. RCR Wirel. News (2016). http://www.rcrwireless.com/20160628/opinion/reality-check-50b-iot-devices-connected-2020-beyond-hype-reality-tag10. Accessed 24 Apr 2018
Ingildsen, P., Olsson, G.: Smart Water Utilities. IWA Publications, London (2016)
Jiang, G., Sun, J., Sharma, K., Yuan, Z.: Corrosion and odor management in sewer systems. Curr. Opin. Biotechnol. 33(10), 1016 (2015)
Kleidorfer, M., Tscheikner-Gratl, F., Vonach, T., Rauch, W.: What can we learn from a 500-year event? – Experiences from urban drainage in Austria. Water Sci. Technol. 77(8), 2146–2154 (2018)
Kollatsch, D.-Th.: Futuristic ideas to create a most efficient drainage system. In: Proceedings of 6th International Conference on Urban Storm Drainage, Niagara Falls, Ontario, Canada, 12–17 September 1993, pp. 1225–1230 (1993)
Langeveld, J.G., de Haan, C., Klootwijk, M., Schilperoort, R.P.S.: Monitoring the performance of a storm water separating manifold with distributed temperature sensing. Water Sci. Technol. 66(1), 145–150 (2012)
Liu, Y., Sharma, K.R., Fluggen, M., O’Halloran, K., Murthy, S., Yuan, Z.: Online dissolved methane and total dissolved sulfide measurement in sewers. Water Res. 68(1), 109–118 (2015)
Melville-Shreeve, P., Ward, S., Butler, D.: Rainwater harvesting typologies for UK houses: a multi criteria analysis of system configurations. Water 8(4), 129 (2016)
Mignot, E., Bonakdari, H., Knothe, P., Lipeme, K.G., Bessette, A., Rivière, N., Bertrand-Krajewski, J.-L.: Experiments and 3D simulations of flow structures in junctions and their influence on location of flowmeters. Water Sci. Technol. 66(6), 1325–1332 (2012)
Nielsen, M.K., Carstensen, J., Harremoës, P.: Combined control of sewer and treatment plant during rainstorm. Water Sci. Technol. 34(3), 181–187 (1996)
Olsson, G.: ICA and me – a subjective review. Water Res. 46(6), 1585–1624 (2012)
Olsson, G., Carlsson, B., Comas, J., Copp, J., Gernaey, K.V., Ingildsen, P., Jeppsson, U., Kim, C., Rieger, L., RodrÃguez-Roda, I., Steyer, J.-P., Takács, I., Vanrolleghem, P.A., Vargas, C.A., Yuan, Z., Ã…mand, L.: Instrumentation, control and automation in wastewater– from London 1973 to Narbonne 2013. Water Sci. Technol. 69(7), 1373–1385 (2014). https://doi.org/10.2166/wst.2014.057
Pfister, A., Stein, A., Schlegel, S., Teichgräber, B.: An integrated approach for improving the wastewater discharge and treatment systems. Water Sci. Technol. 37(1), 341–346 (1998)
Pleau, M., Pelletier, G., Coias, H., Lavaliee, P., Bonin, R.: Global predictive real-time control of Quebec Urban Community’s westerly sewer network. Water Sci. Technol. 43(7), 123–130 (2001)
Pleau, M., Colas, H., Lavallee, P., Pelletier, G., Bonin, R.: Global optimal real-time control of the Quebec urban drainage system. Environ. Model Softw. 20(4), 401–413 (2005)
Rauch, W., Harremoës, P.: The importance of the treatment plant performance during rain to acute water pollution. Water Sci. Technol. 34(3–4), 1–8 (1996a)
Rauch, W., Harremoës, P.: Minimizing acute river pollution from urban drainage systems by means of integrated real time control. In: Proceedings of 1st International Conference on New/Emerging Concepts for Rivers (RIVERTECH 1996), Chicago, USA (1996b)
Rauch, W., Harremoës, P.: Genetic algorithms in real time control applied to minimize transient pollution from urban wastewater systems. Water Res. 33(5), 1265–1277 (1999)
Rjeily, Y.A., Abbas, O., Sadek, M., Shahrour, I., Chehade, F.H.: Flood forecasting within urban drainage systems using NARX neural network. Water Sci. Technol. 76(9), 2401–2412 (2017)
Savić, D.: A smart city without smart water is only a pipe dream! Keynote paper. In: International Association for Hydro-Environment Engineering and Research (IAHR), World Congress, Kuala Lumpur, Malaysia (2017)
Schilperoort, R., Hoppe, H., de Haan, C., Langeveld, J.: Searching for storm water inflows in foul sewers using fibre-optic distributed temperature sensing. Water Sci. Technol. 68(8), 1723–1730 (2013)
Schütze, M., Butler, D., Beck, M.B.: Optimisation of control strategies for the urban wastewater system—an integrated approach. Water Sci. Technol. 39(9), 209–216 (1999)
Schütze, M., Butler, D., Beck, M.B., Verworn, H.R.: Criteria for assessment of the operational potential of the urban wastewater system. Water Sci. Technol. 45(3), 141–148 (2002)
Schütze, M., Campisano, A., Colas, H., Schilling, W., Vanrolleghem, P.: Real time control of urban wastewater systems – where do we stand today? J. Hydrol. 299, 335–348 (2004)
Schütze, M., Lange, M., Pabst, M., Haas, U.: Astlingen – a benchmark for real-control control (RTC). Water Sci. Technol. (2018, in press)
Seggelke, K., Rosenwinkel, K.H., Vanrolleghem, P.A., Krebs, P.: Integrated operation of sewer system and WWTP by simulation-based control of the WWTP inflow. Water Sci. Technol. 52(5), 195–203 (2005)
Seggelke, K., Löwe, R., Beeneken, T., Fuchs, L.: Implementation of an integrated real-time control system of sewer system and waste water treatment plant in the city of Wilhelmshaven. Urban Water J. 10(5), 330–341 (2013)
Sharma, K.R., Corrie, S., Yuan, Z.: Integrated modelling of sewer system and wastewater treatment plant for investigating the impacts of chemical dosing in sewers. Water Sci. Technol. 65(8), 1399–1405 (2012)
Vanrolleghem, P.A., Benedetti, L., Meirlaen, J.: Modelling and real-time control of the integrated urban wastewater system. Environ. Model Softw. 20(4), 427–442 (2005)
Vezzaro, L., Steen, M.P., Deletic, A., McCarthy, D.: Urban drainage models – simplifying uncertainty analysis for practitioners. Water Sci. Technol. 68(10), 2136–2143 (2013)
Vosse, M., Schilperoort, R., de Haan, C., Nienhuis, J., Tirion, M., Langeveld, J.: Processing of DTS monitoring results: automated detection of illicit connections. Water Pract. Technol. 8(3), 375–381 (2013). https://doi.org/10.2166/wpt.2013.037
Weijers, S.R., De Jonge, J., Van Zanten, O., Benedetti, L., Langeveld, J., Menkveld, H.W., Van Nieuwenhuijzen, A.F.: KALLISTO: cost effective and integrated optimization of the urban wastewater system Eindhoven. Water Pract. Technol. 7(2), 1–9 (2012)
Weinreich, G., Schilling, W., Birkely, A., Moland, T.: Pollution based real time control strategies for combined sewer systems. Water Sci. Technol. 36(8–9), 331–336 (1997)
Zacharof, A.I., Schütze, M., Butler, D.: A methodology for assessing the operational potential of the urban wastewater system using integrated modelling. Water Sci. Technol. Water Supply 3(1–2), 271–277 (2003)
Zhang, M., Liu, Y., Cheng, X., Zhu, D.Z., Shi, H., Yuan, Z.: Quantifying rainfall-derived inflow and infiltration in sanitary sewer systems based on conductivity monitoring. J. Hydrology 558, 174–183 (2018). https://doi.org/10.1016/j.jhydrol.2018.01.002
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Olsson, G. (2019). Controlling Urban Drainage Systems. In: Mannina, G. (eds) New Trends in Urban Drainage Modelling. UDM 2018. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-99867-1_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-99867-1_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-99866-4
Online ISBN: 978-3-319-99867-1
eBook Packages: EnergyEnergy (R0)