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Modular Design of Bioretention Systems for Sustainable Stormwater Management under Drivers of Urbanization and Climate Change

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  • Marina Batalini de Macedo

    (Hydraulic Engineering and Sanitation, Sao Carlos School of Engineering, University of Sao Paulo, Av. Trabalhador Sãocarlense, 400 CP 359, São Carlos 13566-590, SP, Brazil)

  • Marcus Nóbrega Gomes Júnior

    (Hydraulic Engineering and Sanitation, Sao Carlos School of Engineering, University of Sao Paulo, Av. Trabalhador Sãocarlense, 400 CP 359, São Carlos 13566-590, SP, Brazil)

  • Vivian Jochelavicius

    (Sao Carlos School of Engineering, University of Sao Paulo, Av. Trabalhador Sãocarlense, 400 CP 359, São Carlos 13566-590, SP, Brazil)

  • Thalita Raquel Pereira de Oliveira

    (Hydraulic Engineering and Sanitation, Sao Carlos School of Engineering, University of Sao Paulo, Av. Trabalhador Sãocarlense, 400 CP 359, São Carlos 13566-590, SP, Brazil)

  • Eduardo Mario Mendiondo

    (Hydraulic Engineering and Sanitation, Sao Carlos School of Engineering, University of Sao Paulo, Av. Trabalhador Sãocarlense, 400 CP 359, São Carlos 13566-590, SP, Brazil)

Abstract

The increase in urbanization and climate change projections point to a worsening of floods and urban river contamination. Cities need to adopt adaptive urban drainage measures capable of mitigating these drivers of change. This study presents a practical methodology for a modular design of bioretention systems incorporating land use and climate change into existing sizing methods. Additionally, a sensitivity analysis for these methods was performed. The methodology was applied to a case study in the city of Sao Carlos, SP, Brazil. Three application scales were evaluated: property scale (PS), street scale (SS) and neighborhood scale (NS) for three temporal scenarios: current, 2015–2050 and 2050–2100. The choice of the sizing method was the factor with greatest influence on the final bioretention performance, as it considerably affected the surface areas designed, followed by the hydraulic conductivity of the filtering media. When analyzing the sensitivity of the parameters for each method, the runoff coefficient and the daily precipitation with 90% probability were identified as the most sensitive parameters. For the period 2050–2100, there was an increase of up to 2×, 2.5× and 4× in inflow for PS, SS and NS, respectively. However and despite the great uncertainty of future drivers, bioretention performance would remain almost constant in future periods due to modular design.

Suggested Citation

  • Marina Batalini de Macedo & Marcus Nóbrega Gomes Júnior & Vivian Jochelavicius & Thalita Raquel Pereira de Oliveira & Eduardo Mario Mendiondo, 2022. "Modular Design of Bioretention Systems for Sustainable Stormwater Management under Drivers of Urbanization and Climate Change," Sustainability, MDPI, vol. 14(11), pages 1-27, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6799-:d:830159
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    References listed on IDEAS

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    1. Nathan S. Debortoli & Pedro Ivo M. Camarinha & José A. Marengo & Regina R. Rodrigues, 2017. "An index of Brazil’s vulnerability to expected increases in natural flash flooding and landslide disasters in the context of climate change," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(2), pages 557-582, March.
    2. Eric A. Lehmann & Aloke Phatak & Alec Stephenson & Rex Lau, 2016. "Spatial modelling framework for the characterisation of rainfall extremes at different durations and under climate change," Environmetrics, John Wiley & Sons, Ltd., vol. 27(4), pages 239-251, June.
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    Cited by:

    1. Agnieszka Bus, 2022. "Implementation of P-Reactive Layer for Improving Urban Water Quality: Kinetic Studies, Dimensioning and Economic Analysis," Sustainability, MDPI, vol. 14(15), pages 1-16, July.

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