Published June 6, 2023
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Hydrologic-hydraulic assessment of SUDS control capacity using different modeling approaches: a case study in Bogotá, Colombia.

  • 1. Department of Ecology and Natural Resources Management, Center for Development Research (ZEF), University of Bonn, Genscherallee 3, Bonn 53113, Germany E-mail: abby.os@uni-bonn.de.
  • 2. University of Bonn
  • 3. Department of Water Resources Engineering, Lund University, P.O. Box 118, Lund S-221 00, Sweden.
  • 4. Lund University
  • 5. Department of Civil and Environmental Engineering, Universidad de los Andes, Carrera 1E 19A-70, Bogotá 111711, Colombia.
  • 6. International Centre for Water Resources and Global Change, UNESCO Category 2 Centre, German Federal Institute of Hydrology, P.O. Box 200253, Koblenz 56002, Germany.

Description

Urban flooding has increased in response to impervious surface intensification, the loss of green areas, and high-intensity rainfall associated with climate change. Sustainable urban drainage systems (SUDS) are an appealing option for stormwater management; however, their hydraulic control capabilities have received little attention. We developed a comparative model-based approach with 24 scenarios to contrast the hydrologic and hydraulic response of a highly discretized (HD) 1D model and a coupled 1D-2D model, considering the impact of rainwater harvesting systems and tree pits. An additional scenario was modeled including attenuation storage tanks, green roofs, and pervious pavements. A heavily urbanized flood-prone catchment with severe land-use constraints in Bogotá, Colombia, was selected for analysis. The findings revealed that SUDS can contribute to reducing the number of flooded junctions, overloaded conduits' length, overloading time, nodal inundation depth, and waterlogging extent. Furthermore, the HD 1D model can reproduce the coupled 1D-2D model results in terms of hydrologic response and some hydraulic control indicators. Further research is needed for an accurate description of the internal hydraulic mechanisms of SUDS interacting with overland flow. The key findings of this study provide model-based evidence to support urban stormwater management decision-making in data-scarce environments.
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