Abstract
Highly efficient methods are needed to mitigate negative impacts of urban storms such as flooded roads and damage to properties and infrastructures. A rehabilitation approach based on resiliency is proposed in this paper for urban drainage systems using structural improvement of bottlenecks. The resilience-based approach enhances system capability to act very flexible against exceptional loads such as bridge/culvert blockage during the floods. The approach integrates a multi-objective evolutionary algorithm (MOEA) and EPA-SWMM simulation model to find cost-effective rehabilitation measures under structural failure of critical elements in the network. It is applied to the western part of Tehran Stormwater Drainage System (TSDS) to attain optimal measures by minimizing the costs and flood volumes. The approach outperforms the conventional methods (particularly compared to a previous rehabilitation proposal for the study area) when the system encounters unexpected blockage conditions. Results show that the optimal design obtained by the proposed approach can decrease network flooding from 3.5 × 106 m3 to near zero with at most 23% lower investment costs relative to the traditional design.




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References
Bureau of Technical Affairs and Standards (2001) Basic computational measures in economic analysis of water resources projects. No. 215, Management and Planning Organization, Ministry of Energy, Islamic Republic of Iran
Butler D, Farmani R, Fu G, Ward S, Diao K, Astaraie-Imani M (2014) A new approach to urban water management: safe and sure. Procedia Eng 89:347–354
Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multi objective algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2):182–197
Delelegn SW, Pathirana A, Gersonius B, Adeogun AG, Vairavamoorthy K (2011) Multi-objective optimisation of cost-benefit of urban flood management using a 1D2D coupled model. Water Sci Technol 63(5):1053–1059
Fu G, Butler D (2014) Copula-based frequency analysis of overflow and flooding in urban drainage systems. J Hydrol 510:49–58
German ATV Rules and Standards (1999) Hydraulic dimensioning and verification of drainage systems, ATVA 118E
Karamouz M, Nazif S, Zahmatkesh Z (2013) Self-organizing Gaussian-based downscaling of climate data for simulation of urban drainage systems. J Irrig Drain Eng 139(2):98–112
Karamouz M, Zahmatkesh Z (2016) Quantifying resilience and parameter uncertainty in coastal flooding events: a framework for assessing urban vulnerability. ASCE J Water Resour Plann Manag 143(1):04016071-1
MGCE (2011a) Tehran Stormwater Management Master Plan, Vol 4: Existing Main Drainage Network, Part 2: Hydraulic Modeling and Capacity Assessment, December 2011, Mahab Ghods Consultant Engineers, Technical and development deputy of Tehran municipality, Tehran, Iran
MGCE (2011b) Tehran Stormwater Management Master Plan, Vol 2, part 3: Urban Food Hydrology & Sediment Load, December 2011, Mahab Ghods Consultant Engineers, Technical and development deputy of Tehran municipality, Tehran, Iran
MGCE (2011c) Tehran Stormwater Management Master Plan, Vol 2: Basic Studies, Part1: Meteorology, December 2011, Mahab Ghods Consultant Engineers, Technical and development deputy of Tehran municipality, Tehran, Iran
Mugume SN, Gomez DE, Fu G, Farmani R, Butler D (2015) A global analysis approach for investigating structural resilience in urban drainage systems. Water Res 81:15–26
Oraei Zare S, Saghafian B, Shamsai A, Nazif S (2012) Multi-objective optimization using evolutionary algorithms for qualitative and quantitative control of urban runoff. Hydrol Earth Syst Sci Discuss 9:777–817
Park M, Chung G, Yoo C, Kim JH (2012) Optimal Design of Stormwater detention basin using the genetic algorithm. KSCE J Civ Eng 16(4):660–666
Rossman L (2008) Storm water management model user’s manual: Version 5.0, EPA/600/R-05/040. National Risk Management Research Laboratory, Cincinnati
Sun SA, Djordjević S, Khu ST (2011) A general framework for flood risk based storm sewer network design. Urban Water J 8(1):13–27
Tahmasebi Birgani Y, Yazdandoost F (2016) Role of resilience in sustainable urban Stormwater management. Hydraul Struct 1(1):42–50
USACE (2008) Hydrologic modelling system HEC-HMS, Quick start guide, version 3.2. Institute for Water Resources Hydrologic Engineering Center, Davis
Vojinovic Z, Sahlu S, Torres AS, Seyoum SD, Anvarifar F, Matungulu H, Barreto W, Savic D, Kapelan Z (2014) Multi-objective rehabilitation of urban drainage systems under uncertainties. J Hydroinf 16(5):1044–1061
Yazdi J, Kim JH (2015) Intelligent pump operation and river diversion Systems for Urban Storm Management. J Hydrol Eng ASCE 20(11):04015031
Yazdi J, Sadollah A, Lee EH, Yoo DG, Kim JH (2015) Application of multi-objective evolutionary algorithms for the rehabilitation of storm sewer pipe networks. J Flood Risk Manag 10(3):326–338
Yazdi J, Salehi Neyshabouri SAA, Golian S (2014) A stochastic framework to assess the performance of flood warning systems based on rainfall-runoff modelling. Hydrol Process 28(17):4718–4731
Yazdi J, Yoo DG, Kim JH (2016) Comparative study of multi-objective evolutionary algorithms for hydraulic rehabilitation of urban drainage networks. Urban Water J 14(5):483–492
Acknowledgements
This research has been supported by the research grant no. 600/1449 funded by Shahid Beheshti University, Tehran, Iran.
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Yazdi, J. Rehabilitation of Urban Drainage Systems Using a Resilience-Based Approach. Water Resour Manage 32, 721–734 (2018). https://doi.org/10.1007/s11269-017-1835-y
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DOI: https://doi.org/10.1007/s11269-017-1835-y


