Multiobjective Optimization of Distributed Stormwater Harvesting Systems
Publication: Journal of Water Resources Planning and Management
Volume 143, Issue 6
Abstract
Stormwater harvesting (SWH) is an important water-sensitive urban design (WSUD) approach that provides an alternate water supply source and improves runoff quality through integrated systems of stormwater best management practice (BMP) technologies. In SWH system design, practitioners must account for trade-offs between cost, supply volume, and water quality improvement performance, which depend on design decisions for the type, size, and spatial distribution of BMPs. As such, the design of SWH systems with distributed BMPs is a complex, multiobjective optimization problem with a large decision space. This paper presents a multiobjective optimization framework to assess trade-offs in spatially distributed SWH system designs. The framework was applied to a case study for a housing development in Adelaide, South Australia. The results illustrated the potential benefits of distributing BMPs in an integrated SWH system where space at the catchment outlet is limited. Trade-offs between volumetric reliability and total suspended solids (TSS) reduction indicate that large gains in TSS reduction can be achieved with limited reduction in volumetric reliability. Concept designs in low-cost/moderately reliable and low-cost/high TSS reduction trade-off regions contained biofilters in locations receiving large inflows.
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Acknowledgments
Research funding was provided by the Australian Postgraduate Award, the University of Adelaide, and the Goyder Institute for Water Research. The authors thank Dr. Joshua Cantone and Dr. Robin Allison for assistance with the case study data, Mr. Jeffry Newman for assistance with software development, and Associate Professor David Rosenberg and the anonymous reviewers for their comments, which helped improve the quality of the paper.
References
Asadzadeh, M., Razavi, S., Tolson, B. A., and Fay, D. (2014). “Pre-emption strategies for efficient multi-objective optimization: Application to the development of lake superior regulation plan.” Environ. Modell. Software, 54, 128–141.
Askarizadeh, A., et al. (2015). “From rain tanks to catchments: Use of low-impact development to address hydrologic symptoms of the urban stream syndrome.” Environ. Sci. Technol., 49(19), 11264–11280.
Bach, P. M., Rauch, W., Mikkelsen, P. S., McCarthy, D. T., and Deletic, A. (2014). “A critical review of integrated urban water modeling: Urban drainage and beyond.” Environ. Modell. Software, 54, 88–107.
Beh, E. H. Y., Dandy, G. C., Maier, H. R., and Paton, F. L. (2014). “Optimal sequencing of water supply options at the regional scale incorporating alternative water supply sources and multiple objectives.” Environ. Modell. Software, 53, 137–153.
Beh, E. H. Y., Maier, H. R., and Dandy, G. C. (2015). “Scenario driven optimal sequencing under deep uncertainty.” Environ. Modell. Software, 68, 181–195.
Bi, W., Dandy, G. C., and Maier, H. R. (2016). “Use of domain knowledge to increase the convergence rate of evolutionary algorithms for optimizing the cost and resilience of water distribution systems.” J. Water Resour. Plann. Manage., .
Bilotta, G. S., and Brazier, R. E. (2008). “Understanding the influence of suspended solids on water quality and aquatic biota.” Water Res., 42(12), 2849–2861.
Browne, D., Breen, P., and Wong, T. (2012). “Planning ahead: Canberra’s master plan for non potable water reuse.” Proc., WSUD 2012: 7th Int. Conf. On Water Sensitive Urban Design, Engineers Australia, Barton, ACT, Australia, 831–839.
Chichakly, K. J., Bowden, W. B., and Eppstein, M. J. (2013). “Minimization of cost, sediment load, and sensitivity to climate change in a watershed management application.” Environ. Modell. Software, 50(12), 158–168.
Chiew, F. H. S., and McMahon, T. A. (1999). “Modelling runoff and diffuse pollution loads in urban areas.” Water Sci. Technol., 39(12), 241–248.
Clark, R., Gonzalez, D., Dillon, P., Charles, S., Cresswell, D., and Naumann, B. (2015). “Reliability of water supply from stormwater harvesting and managed aquifer recharge with a brackish aquifer in an urbanising catchment and changing climate.” Environ. Modell. Software, 72(10), 117–125.
Coombes, P. J., and Barry, M. E. (2007). “The effect of selection of time steps and average assumptions on the continuous simulation of rainwater harvesting strategies.” Water Sci. Technol., 55(4), 125–133.
Deb, K., Pratap, A., Agarwal, S., and Meyarivan, T. (2002). “A fast and elitist multiobjective genetic algorithm: NSGA-II.” IEEE Trans. Evol. Comput., 6(2), 182–197.
Di Matteo, M., Dandy, G., and Maier, H. (2016). “Multi-objective optimization of distributed stormwater harvesting systems.” ⟨https://doi.org/10.6084/m9.figshare.3863466⟩ (Dec. 1, 2016).
Dotto, C., Deletic, A., McCarthy, D., and Fletcher, T. (2011). “Calibration and sensitivity analysis of urban drainage models: MUSIC rainfall/runoff module and a simple stormwater quality model.” Aust. J. Water Resour., 15(1), 85.
Duncan, H. P. (1999). Urban stormwater quality: A statistical overview, Cooperative Research Centre for Catchment Hydrology, Melbourne, Australia.
eWater. (2009). “MUSIC—Model for urban stormwater improvement conceptualization, user guide version 4.” eWater Cooperative Research Centre, Canberra, Australia.
Inamdar, P. M. (2014). “Selection and evaluation of potential stormwater harvesting sites in urban areas.” Ph.D. thesis, Victoria Univ., Melbourne, Australia.
Lee, J. G. (2012). “A watershed-scale design optimization model for stormwater best management practices.” Environ. Modell. Software, 37(11), 6–18.
Maier, H. R., et al. (2014). “Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions.” Environ. Modell. Software, 62(12), 271–299.
Maier, H. R., Kapelan, Z., Kasprzyk, J., and Matott, L. S. (2015). “Thematic issue on evolutionary algorithms in water resources.” Environ. Modell. Software, 69(7), 222–225.
Marchi, A., Dandy, G., and Maier, H. (2016). “Integrated approach for optimizing the design of aquifer storage and recovery stormwater harvesting schemes accounting for externalities and climate change.” J. Water Resour. Plann. Manage., .
Maringanti, C., Chaubey, I., and Popp, J. (2009). “Development of a multiobjective optimization tool for the selection and placement of best management practices for nonpoint source pollution control.” Water Resour. Res., 45(6), WR007094.
Melbourne Water Australia. (2013). “Water sensitive urban design life cycle costing data.” ⟨http://www.melbournewater.com.au/Planning-and-building/Forms-guidelines-and-standard-drawings/Documents/Life%20Cycle%20Costing%20-%20WSUD.pdf⟩ (Dec. 19, 2016).
Mitchell, V. G., Deletic, A., Fletcher, T. D., Hatt, B. E., and McCarthy, D. T. (2007). “Achieving multiple benefits from stormwater harvesting.” Water Sci. Technol., 55(4), 135–144.
Mitchell, V. G., McCarthy, D. T., Deletic, A., and Fletcher, T. D. (2008). “Urban stormwater harvesting: Sensitivity of a storage behaviour model.” Environ. Modell. Software, 23(6), 782–793.
Montaseri, M., Hesami Afshar, M., and Bozorg-Haddad, O. (2015). “Development of simulation-optimization model (MUSIC-GA) for urban stormwater management.” Water Resour. Manage., 29(13), 4649–4665.
Myers, B., et al. (2011). “Interim water sensitive urban design targets for Greater Adelaide.” Goyder Institute for Water Research Technical Rep. Series, Goyder Institute for Water Research, Adelaide, Australia.
Newman, J. (2016). “Water Systems Multi-objective Genetic Algorithm (WSMGA) with wrapper and analytics.” ⟨https://github.com/jeffrey-newman/WSMGA-with-Wrapper-and-Analytics⟩ (Dec. 18, 2016).
Paton, F. L., Dandy, G. C., and Maier, H. R. (2014a). “Integrated framework for assessing urban water supply security of systems with non-traditional sources under climate change.” Environ. Modell. Software, 60(10), 302–319.
Paton, F. L., Maier, H. R., and Dandy, G. C. (2013). “Relative magnitudes of sources of uncertainty in assessing climate change impacts on water supply security for the Southern Adelaide water supply system.” Water Resour. Res., 49(3), 1643–1667.
Paton, F. L., Maier, H. R., and Dandy, G. C. (2014b). “Including adaptation and mitigation responses to climate change in a multiobjective evolutionary algorithm framework for urban water supply systems incorporating GHG emissions.” Water Resour. Res., 50(8), 6285–6304.
Payne, E. G. I., Hatt, B. E., Deletic, A., Dobbie, M. F., McCarthy, D. T., and Chandrasena, G. I. (2015). Adoption guidelines for stormwater biofiltration systems—Summary report, Cooperative Research Centre for Water Sensitive Cities, Melbourne, Australia.
Perez-Pedini, C., Limbrunner, J., and Vogel, R. (2005). “Optimal location of infiltration-based best management practices for storm water management.” J. Water Resour. Plann. Manage., 441–448.
Sample, D. J., and Heaney, J. P. (2006). “Integrated management of irrigation and urban storm-water infiltration.” J. Water Resour. Plann. Manage., 362–373.
Sample, D. J., and Liu, J. (2014). “Optimizing rainwater harvesting systems for the dual purposes of water supply and runoff capture.” J. Cleaner Prod., 75, 174–194.
Taylor, A., and Wong, T. (2002). “Non-structural stormwater quality: Best management practices: A literature review of their value and life-cycle costs, CRC for Catchment Hydrology, Cooperative Research Centre for Catchment Hydrology, Melbourne, Australia.
Wang, Q., Guidolin, M., Savic, D., and Kapelan, Z. (2015). “Two-objective design of benchmark problems of a water distribution system via MOEAs: Towards the best-known approximation of the true Pareto front.” J. Water Resour. Plann. Manage., .
Water by Design Australia. (2015). Bioretention technical design guidelines (version 1.1), Brisbane, QLD, Australia.
Water by Design Australia. (2010). MUSIC modelling guidelines (version 1.0), Brisbane, QLD, Australia.
Wu, W., Simpson, A., and Maier, H. (2010). “Accounting for greenhouse gas emissions in multiobjective genetic algorithm optimization of water distribution systems.” J. Water Resour. Plann. Manage., 146–155.
Yang, G., and Best, E. P. H. (2015). “Spatial optimization of watershed management practices for nitrogen load reduction using a modeling-optimization framework.” J. Environ. Manage., 161(16), 252–260.
Zheng, F., Zecchin, A. C., Maier, H. R., and Simpson, A. R. (2016). “Comparison of the searching behavior of NSGA-II, SAMODE, and borg MOEAs applied to water distribution system design problems.” J. Water Resour. Plann. Manage., .
Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 143 • Issue 6 • June 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Jan 4, 2016
Accepted: Nov 2, 2016
Published online: Feb 10, 2017
Published in print: Jun 1, 2017
Discussion open until: Jul 10, 2017
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