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Modeling the Effects of Introducing Low Impact Development in a Tropical City: A Case Study from Joinville, Brazil

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  • Mariana L. R. Goncalves

    (Unit of Environmental Engineering, University of Innsbruck, 6020 Innsbruck, Austria)

  • Jonatan Zischg

    (Unit of Environmental Engineering, University of Innsbruck, 6020 Innsbruck, Austria)

  • Sven Rau

    (Unit of Environmental Engineering, University of Innsbruck, 6020 Innsbruck, Austria)

  • Markus Sitzmann

    (Unit of Environmental Engineering, University of Innsbruck, 6020 Innsbruck, Austria)

  • Wolfgang Rauch

    (Unit of Environmental Engineering, University of Innsbruck, 6020 Innsbruck, Austria)

  • Manfred Kleidorfer

    (Unit of Environmental Engineering, University of Innsbruck, 6020 Innsbruck, Austria)

Abstract

In tropical countries like Brazil, fast and uncontrolled urbanization, together with high rainfall intensities, makes flooding a frequent event. The implementation of decentralized stormwater controls is a promising strategy aiming to reduce surface runoff and pollution through retention, infiltration, filtration, and evapotranspiration of stormwater. Although the application of such controls has increased in the past years in developed countries, they are still not a common approach in developing countries, such as Brazil. In this paper we evaluate to what extend different low impact development (LID) techniques are able to reduce the flood risk in an area of high rainfall intensities in a coastal region of South Brazil. Feasible scenarios of placing LID units throughout the catchment were developed, analyzed with a hydrodynamic solver, and compared against the baseline scenario to evaluate the potential of flood mitigation. Results show that the performance improvements of different LID scenarios are highly dependent on the rainfall events. On average, a total flood volume reduction between 30% and 75% could be achieved for seven LID scenarios. For this case study the best results were obtained when using a combination of central and decentral LID units, namely detention ponds, infiltration trenches, and rain gardens.

Suggested Citation

  • Mariana L. R. Goncalves & Jonatan Zischg & Sven Rau & Markus Sitzmann & Wolfgang Rauch & Manfred Kleidorfer, 2018. "Modeling the Effects of Introducing Low Impact Development in a Tropical City: A Case Study from Joinville, Brazil," Sustainability, MDPI, vol. 10(3), pages 1-19, March.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:728-:d:135079
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    References listed on IDEAS

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    1. Cheol Hee Son & Kyoung Hak Hyun & Donghyun Kim & Jong In Baek & Yong Un Ban, 2017. "Development and Application of a Low Impact Development (LID)-Based District Unit Planning Model," Sustainability, MDPI, vol. 9(1), pages 1-18, January.
    2. Xinhao Wang & William Shuster & Chandrima Pal & Steven Buchberger & James Bonta & Kiran Avadhanula, 2010. "Low Impact Development Design—Integrating Suitability Analysis and Site Planning for Reduction of Post-Development Stormwater Quantity," Sustainability, MDPI, vol. 2(8), pages 1-16, August.
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    Cited by:

    1. Bartosz Szeląg & Agnieszka Cienciała & Szymon Sobura & Jan Studziński & Juan T. García, 2019. "Urbanization and Management of the Catchment Retention in the Aspect of Operation of Storm Overflow: A Probabilistic Approach," Sustainability, MDPI, vol. 11(13), pages 1-17, July.
    2. Chi-Feng Chen & Jhe-Wei Lin & Jen-Yang Lin, 2022. "Hydrological Cycle Performance at a Permeable Pavement Site and a Raingarden Site in a Subtropical Region," Land, MDPI, vol. 11(6), pages 1-16, June.
    3. Priscila Barros Ramalho Alves & Iana Alexandra Alves Rufino & Patrícia Hermínio Cunha Feitosa & Slobodan Djordjević & Akbar Javadi, 2020. "Land-Use and Legislation-Based Methodology for the Implementation of Sustainable Drainage Systems in the Semi-Arid Region of Brazil," Sustainability, MDPI, vol. 12(2), pages 1-23, January.
    4. Syeda Maria Zaidi & Jacqueline Isabella Anak Gisen & Mohamed Eltahan & Qian Yu & Syarifuddin Misbari & Su Kong Ngien, 2022. "Assessment of Weather Research and Forecasting (WRF) Physical Schemes Parameterization to Predict Moderate to Extreme Rainfall in Poorly Gauged Basin," Sustainability, MDPI, vol. 14(19), pages 1-41, October.
    5. Yuanyuan Yang & Wenhui Zhang & Zhe Liu & Dengfeng Liu & Qiang Huang & Jun Xia, 2023. "Coupling a Distributed Time Variant Gain Model into a Storm Water Management Model to Simulate Runoffs in a Sponge City," Sustainability, MDPI, vol. 15(4), pages 1-13, February.
    6. Chaohui Zhang & Mingyu He & Yishan Zhang, 2019. "Urban Sustainable Development Based on the Framework of Sponge City: 71 Case Studies in China," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    7. Zening Wu & Yanxia Shen & Huiliang Wang, 2019. "Assessing Urban Areas’ Vulnerability to Flood Disaster Based on Text Data: A Case Study in Zhengzhou City," Sustainability, MDPI, vol. 11(17), pages 1-15, August.

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