Abstract
Ho Chi Minh City (HCMC) is the largest urban area in Vietnam where the urban inundation has increasingly become severe recently due to a rapid expansion of its urbanization and an increase of extreme rainfalls in terms of both intensity and frequency. The proper designs of the new or upgraded drainage (canal) systems based on the recent extreme rainfall data can reduce the flooding impacts. Hence, a new extreme rainfall intensity-duration-frequency (IDF) relation is first constructed for HCMC based on the most up-to-date observed data from 1982 to 2019. This rainfall IDF relation is then used as an input to investigate and select a suitable drainage routine, shape, and size for upgrading the urban drainage systems in HCMC. These optimal cross-sections as well as routine selections were determined based on an optimization model through a large number of numerical simulations. In this paper, an interfacing Visual C++ programming tool with an SWMM DLL for rainfall-runoff computation in a drainage network completes the optimization. The multi-objective genetic algorithm (MOGA) is used to find the optimum solutions by minimizing both the total flooding overflow and the installing cost as the objective functions. The developed model was applied to the case study of Tan Hoa-Lo Gom drainage basin in HCMC. Model performance was evaluated to propose the optimum solution to the drainage system upgrade. By considering the most recent extreme rainfalls and urbanization conditions, with the optimal drainage routine and cross-section identified by the model, loss flooding in Lo Gom canal after upgrading can be reduced by 57.7%. This optimal drainage model is, therefore, premise for further studies in selecting the best option of flooding prevention in urban areas.
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
General Statistics Office, Vietnam, Population and labour (2019)
752/QD-TTg, Decision on approving the master plan on the drainage system of Ho Chi Minh City until 2020, Hanoi, 19 June 2001 (2001)
Ho Chi Minh City Steering center of urban flood control, Official Dispatch Provide general information about flood situation in the city. Official No. 157/TTCN-QLTN, dated 09/02/2015, Dispatch (2015)
Quan LV, On TV (2015) Research to establish the problem of optimizing investment costs for urban drainage system construction: a case study for the western basin of Hanoi. J Sci Technol Irrig Environ 03(48):92–98
Can PV (2013) Optimizing water supply and drainage systems and the environment. Construction Publishing Company, Ha Noi
Dang Thanh Lam (2015) Thesis of building an appropriate model for the calculation of urban water drainage system in the tidal affected area
Keedwell E, Khu ST (2005) Using cellular automata to seed genetic algorithms for water distribution network design problems, 18(4), 461–472
Deb K, Agrawal S, Pratap A, Meyarivan T (2000) A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. Lecture Notes in Computer Science (including Subseries, Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 1917, pp 849–858. https://doi.org/10.1007/3-540-45356-3_83
Deb K (2001) Constrained test problems for multi-objective evolutionary optimization. In: Proceedings of 1st international conference on evolutionary multi-criterion optimization, pp 284–298
Quan T, Nhi PTT, Khoi DN (2017) Building an extreme rain IDF curve for Tan Son Hoa station in the period 1980–2015. J Sci Technol Dev 20(M2) 2017
Binh LTH, Agilan V, Umamahesh NV, Rathnam EV (2019) Modelling spatial variation of extreme precipitation over Ho Chi Minh City under nonstationary condition. AcGeo 67(3):849–861
Huy NT, Van NVT (2020) Linking climate change to urban storm drainage system design: an innovative approach to modeling of extreme rainfall processes over different spatial and temporal scales. J Hydro-Environ Res 29:80–95
Most V (2008) Drainage and sewerage-External networks and facilities-Design Standard
Lim S, Ho VH, Lee SY, Yoo DG, Kim JH (2014) Determination of optimal location and capacity of detention facilities. Procedia Eng 70:1037–1045
Hammond MJ, Chen AS, Djordjević S, Butler D, Mark O (2015) Urban flood impact assessment: a state-of-the-art review. Urban Water J 12(1):14–29
Ingle Smith D (1999) Floods: physical processes and human impacts by K. Smith and R. Ward. Wiley, Chichester, p 382, 1998. Earth Surf Process Land 24(13), 1261
Acknowledgements
The authors acknowledge the financial support from the research project under contract no. 62/2019/HD-QPTKHCN dated on September 06, 2019, funded by the Department of Science and Technology in Ho Chi Minh City.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Van Ho, H., Nguyen, TH., Ho, L.H., Chau, Q.N.X., Trinh, L.N., Kim, J.H. (2022). Upgrading Urban Drainage Systems for Extreme Rainfall Events Using Multi-objective Optimization: Case Study of Tan Hoa-Lo Gom Drainage Catchment, HCMC, Vietnam. In: Kim, J.H., Deep, K., Geem, Z.W., Sadollah, A., Yadav, A. (eds) Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 140. Springer, Singapore. https://doi.org/10.1007/978-981-19-2948-9_6
Download citation
DOI: https://doi.org/10.1007/978-981-19-2948-9_6
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-2947-2
Online ISBN: 978-981-19-2948-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)