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A SUDS Planning Decision Support Tool to Maximize Ecosystem Services

Author

Listed:
  • Juliana Uribe-Aguado

    (Environmental Engineering Research Center (CIIA), Department of Civil and Environmental Engineering, Universidad de los Andes, Bogota 111711, Colombia)

  • Sara L. Jiménez-Ariza

    (Environmental Engineering Research Center (CIIA), Department of Civil and Environmental Engineering, Universidad de los Andes, Bogota 111711, Colombia)

  • María N. Torres

    (Department of Civil, Structural, and Environmental Engineering, University at Buffalo (SUNY), Buffalo, NY 14260, USA)

  • Natalia A. Bernal

    (Environmental Engineering Research Center (CIIA), Department of Civil and Environmental Engineering, Universidad de los Andes, Bogota 111711, Colombia)

  • Mónica M. Giraldo-González

    (Environmental Engineering Research Center (CIIA), Department of Civil and Environmental Engineering, Universidad de los Andes, Bogota 111711, Colombia)

  • Juan P. Rodríguez

    (Environmental Engineering Research Center (CIIA), Department of Civil and Environmental Engineering, Universidad de los Andes, Bogota 111711, Colombia)

Abstract

In the past years, alternative drainage approaches have emerged, such as Sustainable Urban Drainage Systems (SUDS), to prevent run-off and flooding impacts on the most vulnerable zones of the cities. These systems not only provide the benefit of water regulation but also promote other types of ecosystem services. Several studies have developed optimization tools to assist SUDS selection, location, and design. However, they do not consider a comprehensive set of ecosystem services (e.g., provision, regulation, cultural, and support services). This research proposes a flexible and adaptable methodology to incorporate SUDS in different stages of urban projects using a multi-objective optimization technique to minimize run-off, maximize ecosystem services and minimize cost. The methodology comprises four phases: (1) the preliminary analysis of ecosystem services potentially generated by each SUDS type, (2) the priority and opportunity index quantification, (3) the physical feasibility analysis, and (4) the multi-objective optimization tool implementation. The methodology was successfully applied to three different urban areas of Bogotá city (Colombia). Results evidence that the interaction of the budget constraints and the available area restrict the potential benefits of SUDS implementation. These results are helpful to support different urban planning stages.

Suggested Citation

  • Juliana Uribe-Aguado & Sara L. Jiménez-Ariza & María N. Torres & Natalia A. Bernal & Mónica M. Giraldo-González & Juan P. Rodríguez, 2022. "A SUDS Planning Decision Support Tool to Maximize Ecosystem Services," Sustainability, MDPI, vol. 14(8), pages 1-22, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4560-:d:791564
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    References listed on IDEAS

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    2. Langemeyer, Johannes & Gómez-Baggethun, Erik & Haase, Dagmar & Scheuer, Sebastian & Elmqvist, Thomas, 2016. "Bridging the gap between ecosystem service assessments and land-use planning through Multi-Criteria Decision Analysis (MCDA)," Environmental Science & Policy, Elsevier, vol. 62(C), pages 45-56.
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