Modeling the Effectiveness of Rain Barrels, Cisterns, and Downspout Disconnections for Reducing Combined Sewer Overflows in a City-Scale Watershed


Green Infrastructure / Low Impact Development (GI/LID) is an increasingly popular strategy to manage urban stormwater for individual properties, but the aggregate effect on runoff reduction at the city scale has not been thoroughly investigated. This study examined the potential combined effects of rain barrels, cisterns, and downspout disconnections on combined sewer overflows (CSOs) for a medium-sized urban center. To support a city-wide analysis, a novel simulation strategy was implemented using the Storm Water Management Model (SWMM). In this new approach, a modeling at the source technique for subcatchment delineation was combined with a set of R-language utilities to automatically configure GI/LID management scenarios. The reconfigured SWMM model was used to examine 99 distinct management scenarios based on different sizes, numbers, and locations of the targeted GI/LID features for the city of Buffalo, New York. For a typical hydrologic year, the deployment of large residential rain barrels (1000-gallon) resulted in up to a 12% reduction in predicted CSO volume, while the inclusion of large commercial-roof cisterns (5000-gallon) contributed up to an additional 12% reduction. Large variations in the predicted CSO reductions were observed across the various management scenarios, and the simulation tools were able to identify locations where the GI/LID features were most effective. In general, the modeling at the source approach and the R-language tools substantially enhanced the utility of SWMM for evaluating the effectiveness of GI/LID deployment as a CSO management strategy at the city scale, and the methodology can readily be adapted to cities with similar CSO issues.

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Data Availability

Some or all data, models, or code generated or used during the study are available in a repository or online. R-language utilities for SWMM post-processing can be found here:


  1. Abi Aad MP, Suidan MT, Shuster WD (2010) Modeling techniques of best management practices: Rain barrels and rain gardens using EPA SWMM-5. J Hydrol Eng 15(6):434–443

    Article  Google Scholar 

  2. Ahiablame LM, Engel BA, Chaubey I (2013) Effectiveness of low impact development practices in two urbanized watersheds: Retrofitting with rain barrel/cistern and porous pavement. J Environ Manage 119:151–161

    Article  Google Scholar 

  3. Arcadis (2018) Collection System Model Update Report - Revised. Prepared for the Buffalo Sewer Authority, Buffalo, NY

  4. Benedict MA, McMahon ET (2002) Green infrastructure: smart conservation for the 21st century. Renewable Resources Journal 20(3):12–17

    Google Scholar 

  5. Brears RC (2021) Greening of grey water infrastructure. Water Resour Manag. pp 63–84. De Gruyter.

  6. Campisano A, Catania FV, Modica C (2017) Evaluating the SWMM LID Editor rain barrel option for the estimation of retention potential of rainwater harvesting systems. Urban Water Journal 14(8):876–881

    Article  Google Scholar 

  7. Chen J, Liu Y, Gitau MW et al (2019) Evaluation of the effectiveness of green infrastructure on hydrology and water quality in a combined sewer overflow community. Sci Total Environ 665:69–79

    Article  Google Scholar 

  8. Fontecha JE, Guaje OO, Duque D et al (2020) Combined maintenance and routing optimization for large-scale sewage cleaning. Ann Oper Res 286(1):441–474

    Article  Google Scholar 

  9. Fontecha JE, Agarwal P, Torres MN et al (2021) A two‐stage data‐driven spatiotemporal analysis to predict failure risk of urban sewer systems leveraging machine learning algorithms. Risk Analysis.

  10. Gheith H (2018) Lu Q (2018) Integrated Plan Combining House-Level I/I Mitigation Program and GI Technology to Avoid Street Flooding-Case Study: Newton-Bedford Blueprint Columbus. Proc Water Environ Fed 3:413–425

    Article  Google Scholar 

  11. Gheith H, Newsome J (2017) Salvadori N (2017) Blueprint Columbus-An Integrated Plan that Reduces RDII and Controls Stormwater Flooding at Optimized Cost. Proc Water Environ Fed 14:1166–1180

    Article  Google Scholar 

  12. Ghodsi SH, Kerachian R, Estalaki SM et al (2016a) Developing a stochastic conflict resolution model for urban runoff quality management: application of info-gap and bargaining theories. J Hydrol 533:200–212

    Article  Google Scholar 

  13. Ghodsi SH, Kerachian R, Zahmatkesh Z (2016b) A multi-stakeholder framework for urban runoff quality management: application of social choice and bargaining techniques. Sci Total Environ 550:574–585

    Article  Google Scholar 

  14. Ghodsi SH, Zahmatkesh Z, Goharian E et al (2020) Optimal design of low impact development practices in response to climate change. J Hydrol 580:124266

  15. Gill SE, Handley JF, Ennos AR, Pauleit S (2007) Adapting cities for climate change: the role of the green infrastructure. Built Environment 33(1):115–133

    Article  Google Scholar 

  16. Jennings AA, Adeel AA, Hopkins A et al (2013) Rain barrel–urban garden stormwater management performance. J Environ Eng 139(5):757–765

    Article  Google Scholar 

  17. Jia Z, Xu C, Luo W (2020) Optimizing Green Infrastructure Implementation with a Land Parcel-Based Credit Trading Approach on Different Spatial Scales. Water Resour Manage 34(5):1709–1723

    Article  Google Scholar 

  18. Litofsky AL, Jennings AA (2014) Evaluating rain barrel storm water management effectiveness across climatography zones of the United States. J Environ Eng 140(4):04014009

    Article  Google Scholar 

  19. Liu Y, Bralts VF, Engel BA (2015) Evaluating the effectiveness of management practices on hydrology and water quality at watershed scale with a rainfall-runoff model. Sci Total Environ 511:298–308

    Article  Google Scholar 

  20. Malcolm Pirnie/Arcadis (2017) Buffalo Sewer Authority, Long Term Control Plan-Final: Executive Summary. Retrieved from:

  21. McGrane SJ (2016) Impacts of urbanisation on hydrological and water quality dynamics, and urban water management: a review. Hydrol Sci J 61(13):2295–2311

    Article  Google Scholar 

  22. Montalto F, Behr C, Alfredo K et al (2007) Rapid assessment of the cost-effectiveness of low impact development for CSO control. Landsc Urban Plan 82(3):117–131

    Article  Google Scholar 

  23. Platz M, Simon M, Tryby M (2020) Testing of the storm water management model low impact development modules. JAWRA Journal of the American Water Resources Association 56(2):283–296

    Article  Google Scholar 

  24. Rodrigues AL, da Silva DD, de Menezes Filho FC (2021) Methodology for Allocation of Best Management Practices Integrated with the Urban Landscape. Water Resour Manage 35(4):1353–1371

    Article  Google Scholar 

  25. Rossman LA (2010) Storm water management model user's manual, version 5.0. Cincinnati: National Risk Management Research Laboratory, Office of Research and Development, US Environmental Protection Agency

  26. Saharia AM, Zhu Z, Aich N et al (2019) Modeling the transport of titanium dioxide nanomaterials from combined sewer overflows in an urban river. Sci Total Environ. 696:133904

  27. Shuster WD, Bonta J, Thurston H et al (2005) Impacts of impervious surface on watershed hydrology: A review. Urban Water Journal 2(4):263–275

    Article  Google Scholar 

  28. Steffen J, Jensen M, Pomeroy CA, Burian SJ (2013) Water supply and stormwater management benefits of residential rainwater harvesting in US cities. JAWRA Journal of the American Water Resources Association 49(4):810–824

    Article  Google Scholar 

  29. Tao J, Li Z, Peng X, Ying G (2017) Quantitative analysis of impact of green stormwater infrastructures on combined sewer overflow control and urban flooding control. Front Environ Sci Eng 11(4):1–12

    Article  Google Scholar 

  30. Tavakol-Davani H, Burian SJ, Devkota J, Apul D (2016) Performance and cost-based comparison of green and gray infrastructure to control combined sewer overflows. Journal of Sustainable Water in the Built Environment 2(2):04015009

    Article  Google Scholar 

  31. Torres MN, Fontecha JE, Zhu Z, et al (2020) A participatory approach based on stochastic optimization for the spatial allocation of Sustainable Urban Drainage Systems for rainwater harvesting. Environmental Modelling & Software 123:104532

  32. Walsh TC, Pomeroy CA, Burian SJ (2014) Hydrologic modeling analysis of a passive, residential rainwater harvesting program in an urbanized, semi-arid watershed. J Hydrol 508:240–253

    Article  Google Scholar 

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This material was partially supported by the U.S. Geological Survey under Grant/Cooperative Agreement No. G16AP00073. We also thank the University at Buffalo (UB) RENEW Institute Seed Grant and the UB Buffalo Blue Sky programs for additional financial support, the Buffalo Sewer Authority (BSA) for providing the SWMM model and supporting information, and Computational Hydraulics International (CHI) for providing a university grant to use the PCSWMM model support system. The opinions and findings presented in this paper are only those of the authors and do not represent the opinions of the BSA.

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Ghodsi, S.H., Zhu, Z., Gheith, H. et al. Modeling the Effectiveness of Rain Barrels, Cisterns, and Downspout Disconnections for Reducing Combined Sewer Overflows in a City-Scale Watershed. Water Resour Manage 35, 2895–2908 (2021).

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  • Combined sewer overflow
  • GI/LID
  • Rain barrel
  • Cistern
  • Downspout disconnection
  • City-scale watershed