Optimal detention ponds in urban drainage systems
- 1Water, Energy and Environmental Engineering, University of Oulu, Oulu, Finland (azadeh.hosseinzadeh@oulu.fi)
- 2School of Computing and Engineering, University of West London, London, UK (kourosh.behzadian@uwl.ac.uk)
- 3Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran (mk.civil90@yahoo.com)
Urban development and the increase of impervious surfaces have a broad impact on the hydrological cycle leading to increased peak flow and flooding, especially in downstream areas. Surface water detention ponds are among the most common measures to attenuate the peak flow and return it from development to pre-development conditions. The effect of these ponds on reducing a flood depends on the location and the dimensions. This paper presents a new framework for identifying the best strategies for using the detention ponds to flood control in urban drainage systems. The stormwater management model (SWMM) was applied for hydraulic and hydrological simulations of urban drainage systems. In addition, a multi-objective optimisation model was used to find the optimal location and size of detention ponds. The effect of physiographic and social factors on selecting ponds was analysed by simulating and examining the GIS environment. Based on the criteria reviewed in the previous steps, the best management solutions were prioritised by a multi-criteria decision-making method (MCDM) named Compromise Programming (CP). The methodology was then demonstrated on the real-world case study of the Karaj city basin in Iran. The results show that these detention ponds can improve current drainage performance and decrease flooding damage.
How to cite: Hosseinzadeh, A., Torabi Haghighi, A., Rossi, P. M., Behzadian, K., and Karami, M.: Optimal detention ponds in urban drainage systems, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6860, https://doi.org/10.5194/egusphere-egu22-6860, 2022.