Abstract
Flooding is a potential risk to human beings life and assets, and the environment in urban areas. To mitigate such a phenomenon and related damages, structural and nonstructural options can be considered. This study investigates the effect of gate operation on flood mitigation during intense rainfall events. A prototype network, consisting of a detention reservoir located in a portion of Tehran, the capital city of Iran, is considered. Different operational scenarios are examined using an optimal real-time operation model. An SWMM model of the system, simulating rainfall–runoff and hydraulic routing processes, is built and is linked to the harmony search optimization algorithm, evaluating the system operation performance for different scenarios. Results demonstrate that there is stillroom to increase the potential flood regulation capacity of the studied system by equipping it with more controllable apparatus.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Garofalo, G., Giordano, A., Piro, P., Spezzano, G., Vinci, A.: A distributed real-time approach for mitigating CSO and flooding in urban drainage systems. J. Netw. Comput. Appl. 78, 30–42 (2017)
Schütze, M., Campisano, A., Colas, H., Schilling, W., Vanrolleghem, P.A.: Real time control of urban wastewater systems—where do we stand today? J. Hydrol. 299(3), 335–348 (2004)
Bach, P.M., Rauch, W., Mikkelsen, P.S., McCarthy, D.T., Deletic, A.: A critical review of integrated urban water modelling–Urban drainage and beyond. Environ. Model Softw. 54, 88–107 (2014)
Beeneken, T., Erbe, V., Messmer, A., Reder, C., Rohlfing, R., Scheer, 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)
Dirckx, G., Schütze, M., Kroll, S., Thoeye, C., De Gueldre, G., Van De Steene, B.: RTC versus static solutions to mitigate CSO’s impact. In: 12th International Conference on Urban Drainage, 2011b. Porto Alegre, Brazil (2011, September)
Pleau, M., Colas, H., Lavallée, P., Pelletier, G., Bonin, R.: Global optimal real-time control of the Quebec urban drainage system. Environ. Model Softw. 20(4), 401–413 (2005)
Darsono, S., Labadie, J.W.: Neural-optimal control algorithm for real-time regulation of in-line storage in combined sewer systems. Environ. Model Softw. 22(9), 1349–1361 (2007)
Hsu, N.S., Huang, C.L., Wei, C.C.: Intelligent real-time operation of a pumping station for an urban drainage system. J. Hydrol. 489, 85–97 (2013)
Yazdi, J., Kim, J.H.: Intelligent pump operation and river diversion systems for urban storm management. J. Hydrol. Eng. 20(11), 04015031 (2015)
MGCE: Tehran Stormwater Management Master Plan, Vol. 4: Existing Main Drainage Network, Part 2: Hydraulic Modeling and Capacity Assessment, December 2011, MG Consultant Engineers, Technical and development deputy of Tehran municipality, Tehran, Iran (2011a)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Jafari, F., Mousavi, S.J., Yazdi, J., Kim, J.H. (2019). Investigating the Role of Gate Operation in Real-Time Flood Control of Urban Drainage Systems. In: Yadav, N., Yadav, A., Bansal, J., Deep, K., Kim, J. (eds) Harmony Search and Nature Inspired Optimization Algorithms. Advances in Intelligent Systems and Computing, vol 741. Springer, Singapore. https://doi.org/10.1007/978-981-13-0761-4_4
Download citation
DOI: https://doi.org/10.1007/978-981-13-0761-4_4
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-0760-7
Online ISBN: 978-981-13-0761-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)