Optimal Design of Storm Sewer Network Based on Risk Analysis by Combining Genetic Algorithm and SWMM Model

Document Type : Research Article

Authors

1 PhD student in Water Structures, Tarbiat Modares University, Tehran, Iran

2 Faculty of Tarbiat Modares University

3 Professor of Shahid Chamran University

Abstract

The design of an urban storm sewer network is a costly task. Therefore, the design should be done so that the total cost becomes minimal. This requires modeling the problem in an optimization form. Floods are stochastic. Designing such a system is associated with risk. Thus, a project is optimal when both design costs and potential future risks are incorporated. This means that the selection of rainfall-runoff return period has to be based on risk analysis. SWMM software was used to handle hydraulic network simulation and the Network optimization was performed using a genetic algorithm in which the decision variables were the diameter and slope of the pipes. To calculate the cost of run-off damage, relationships for land uses, infrastructure and traffic were provided. The accuracy of the simulation-optimization model seeking the optimal design of the storm sewer network was approved by a benchmark network evaluation. The developed model was implemented in a region of Tehran city to determine the optimal design return period with a risk analysis approach. The results showed that the 10-year return period with is the optimal return period with an annual damage risk cost of 508.68 billion rials, an annual design cost of 943.78 billion rials and a total cost of 1452.45 billion rials. Therefore, the developed method in which the genetic algorithm and SWMM model are combined in addition to the risk-based design approach is an effective tool for the optimal design of storm sewer networks.

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Main Subjects

References

[1] S. Lukman , A.S. Abdurrasheed, Improvement Design of Storm Sewer Network for Flood Control. Frontiers in Environmental Engineering (FIEE), 2(3) (2013) 31-37.
[2] H. Yu, G. Huang, C. Wu, Application of the stormwater management model to a piedmont city: a case study of Jinan City, China, Water Sci Technol, 70(5) (2014) 858-864.
[3] Z. Zhu, Z. Chen, X. Chen, P. He, Approach for evaluating inundation risks in urban drainage systems, Science of The Total Environment, 553 (2016) 1-12.
[4] R. Shariat, A. Roozbahani, A. Ebrahimian, Risk Assessment of the Urban Runoff Collection Networks Using Spatial Multi Criteria Decision-Making (Case Study: District 11 of Tehran), Journal of Water and Wastewater; Ab va Fazilab ( in persian ), 30(1) (2019) 1-17.
[5] D. Dutta, S. Herath, K. Musiake, A mathematical model for flood loss estimation, Journal of Hydrology, 277(1) (2003) 24-49.
[6] A.Danandemehr, Measuring and evaluating the amount of damage caused by floods. 10th Civil Engineering Student Conference, Amir Kabir University of Technology (2010). (In Persian).
[7] H. Daliran Firouz, F. Mokhtari, S. Soltani, S.A. Mousavi, Flood Damage Assessment in Ghamsar and Ghohrood Watershed Basins Using HEC-FIA, Journal of Water and Soil Science, 19(74) (2016) 63-76. (In Persian).
[8] J.Huizinga, H.Moel, W.Szewczyk, Global flood depth-damage functions. Methodology and the database with guidelines. EUR 28552 EN. (2017).
[9] S. Mahmood, A.-u. Rahman, Flash flood susceptibility modeling using geo-morphometric and hydrological approaches in Panjkora Basin, Eastern Hindu Kush, Pakistan, Environmental Earth Sciences, 78(1) (2019) 43.
[10] A. Mehrvarz, A.Madadi, F.Esfandiari, M.Rahimi, Simulation of floods in the Aort Valley using the HEC-RAS hydraulic model in GIS environment (study area: from Shuristan village to the confluence of Aras river). Quantitative Geomorphology Research, 8(4) (2020)131-146. (In Persian).
[11] J. Sin, C. Jun, J.H. Zhu, C. Yoo, Evaluation of Flood Runoff Reduction Effect of LID (Low Impact Development) based on the Decrease in CN: Case Studies from Gimcheon Pyeonghwa District, Korea, Procedia Engineering, 70 (2014) 1531-1538.
[12] L.Rossman, Storm Water Management Model User’s Manual Revised, Version 5.0, EPA No. EPA/600/R-05/040. (2010) (295 p).
[13] G.C. Dandy, A.R. Simpson, L.J. Murphy, An Improved Genetic Algorithm for Pipe Network Optimization, Water Resources Research, 32(2) (1996) 449-458.
[14] S. Yagi, S. Shiba, Application of genetic algorithms and fuzzy control to a combined sewer pumping station, Water Science and Technology, 39(9) (1999) 217-224.
[15] A.R. Simpson, G.C. Dandy, L.J. Murphy, Genetic Algorithms Compared to Other Techniques for Pipe Optimization, Journal of Water Resources Planning and Management, 120(4) (1994) 423-443.
[16] Z.Y. Wu, A.R. Simpson, Competent Genetic-Evolutionary Optimization of Water Distribution Systems, Journal of Computing in Civil Engineering, 15(2) (2001) 89-101.
[17] S.E. Cieniawski, J.W. Eheart, S. Ranjithan, Using Genetic Algorithms to Solve a Multiobjective Groundwater Monitoring Problem, Water Resources Research, 31(2) (1995) 399-409.
[18] B.J. Ritzel, J.W. Eheart, S. Ranjithan, Using genetic algorithms to solve a multiple objective groundwater pollution containment problem, Water Resources Research, 30(5) (1994) 1589-1603.
 [19] M.H. Afshar, M. Rohani, Optimal design of sewer networks using cellular automata-based hybrid methods: Discrete and continuous approaches, Engineering Optimization, 44(1) (2012) 1-22.
[20] A. Mousavi ,Optimization of storm sewer networks in flat areas with heavy storms based on performance indices. A thesis submitted in partial fulfillment of the requirement for the Ph.D. degree (2016)  (In Persian).
[21] H. M.V. Samani, Design of hydraulic structures. Dez Ab Consulting Engineering Publications.346P (2016)  (In Persian).
[22] L.W. Mays, J.C. Liebman, H.G. Wenzel, Model for Layout and Design of Sewer Systems, Journal of the Water Resources Planning and Management Division, 102(2) (1976) 385-405.
 [23] M.H. Afshar, Application of a Genetic Algorithm to Storm Sewer Network Optimization, Scientia Iranica, 13(3) (2006) 234-244.
[24] J. P. Heaney, D.Sample L.Wright, C.Fan, Costs of urban storm water control, US Environmental Protection Agency, Office of Research and Development, National Risk Management Research Laboratory, Washington, DC, EPA/600/R-02/021 (NTIS PB2003-103299),(2002).
[25] M.H. Afshar, A parameter free Continuous Ant Colony Optimization Algorithm for the optimal design of storm sewer networks: Constrained and unconstrained approach, Advances in Engineering Software, 41(2) (2010) 188-195.
[26] S.W. Miles, J.P. Heaney, Better Than “Optimal” Method for Designing Drainage Systems, Journal of Water Resources Planning and Management, 114(5) (1988) 477-499.
[27] M.H.A. Afshar, Rebirthing particle swarm optimization algorithm: application to storm water network design, Canadian Journal of Civil Engineering, 35(10) (2008) 1120-1127.
 [28] Technical and Civil Engineering Department of Tehran.Tehran Surface Water Management Comprehensive Plan, Summary of Studies Report,11 (2012) 269 pages. (In Persian).
[29] L.Jaf, Flood Damage Assessment Using HEC FDA Software in Khansar Watershed. M.Sc. Thesis Department of Natural Resources. Isfahan University of Technology (2015) (In Persian).
[30] H.Hekmati Far, Optimal combination of engineering and flood management methods Case study: Qarasu River in Kermanshah. M.Sc. Thesis, Department of Natural Disaster Management, University of Tehran. (2006) (In Persian).
[31] K.Amirmoradi, A.Shokohi, A.Azizian, Evaluating Risk of Economic Loss due to River Flood in Urban areas (Study Area: Kan Watershed). Iran J Soil Water Res.50 (9) (2019) 2239-2259(In Persian).
[32] P.Swamee, A.Sharma,design of water supply pipe networks. Published by John Wiley & Sons, Inc. Hoboken, New Jersey(2008).362P.
Amirkabir Journal of Civil Engineering
Volume 54, Issue 5
August 2022
Pages 1903-1924

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