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Development of Simulation-Optimization Model (MUSIC-GA) for Urban Stormwater Management

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  • Majid Montaseri
  • Mahdi Hesami Afshar
  • Omid Bozorg-Haddad

Abstract

Urban development leads to replacement of impervious surfaces with pervious surfaces, vegetation and production of various environmental pollutants. In addition, this phenomenon has increased the devastating effects of urban stormwater and has exacerbated the water quality of many freshwater resources (surface and underground) throughout the world. To alleviate this condition, new models of urban stormwater systems, including Water Sensitive Urban Design (WSUD) as well as its software package, MUSIC, have been developed. Regarding the water sensitive urban design, some urban stormwater treatment devices have been proposed and implemented to alleviate the effects of land use changes and improve the quality of downstream water. Although this new models provide cost-effective urban stormwater management methods, it is very challenging to determine an optimal mixture of various treatment devices and minimize the cost of urban stormwater control systems in this regard. Traditionally, the optimum and cost-effective urban stormwater treatment systems have been developed using simulation models such as MUSIC on the basis of trial and error. It should be noted that the latter models require considerable time to get close to an optimal solution. In this study, a simulation-optimization model of urban stormwater management system has been developed using a combination of MUSIC simulation model and Genetic Algorithm thereof. The simulation-optimization model (MUSIC-GA) greatly reduces the computation time and facilitates direct access to absolute optimal solution. The results of a case study on the application of the developed model in Australia have also shown that there have been some desirable convergences between the results of the simulation-optimization model and absolute optimal solution over various implementations of the model. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Majid Montaseri & Mahdi Hesami Afshar & Omid Bozorg-Haddad, 2015. "Development of Simulation-Optimization Model (MUSIC-GA) for Urban Stormwater Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4649-4665, October.
    • Handle: RePEc:spr:waterr:v:29:y:2015:i:13:p:4649-4665
    DOI: 10.1007/s11269-015-1082-z
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    References listed on IDEAS

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    1. Fang-Fang Li & Jia-Hua Wei & Xu-Dong Fu & Xin-Yu Wan, 2012. "An Effective Approach to Long-Term Optimal Operation of Large-Scale Reservoir Systems: Case Study of the Three Gorges System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(14), pages 4073-4090, November.
    2. L. Reis & F. Bessler & G. Walters & D. Savic, 2006. "Water Supply Reservoir Operation by Combined Genetic Algorithm – Linear Programming (GA-LP) Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(2), pages 227-255, April.
    3. Deepti Rani & Maria Moreira, 2010. "Simulation–Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(6), pages 1107-1138, April.
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    1. V. M. Jayasooriya & A. W. M. Ng & S. Muthukumaran & B. J. C. Perera, 2016. "Optimal Sizing of Green Infrastructure Treatment Trains for Stormwater Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5407-5420, November.
    2. V. M. Jayasooriya & S. Muthukumaran & A. W. M. Ng & B. J. C. Perera, 2018. "Multi Criteria Decision Making in Selecting Stormwater Management Green Infrastructure for Industrial areas Part 2: A Case Study with TOPSIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(13), pages 4297-4312, October.

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