Data underlying a conceptual framework for the analysis of engineering and socio-ecological resilience of urban drainage systems

doi:10.4121/627b66bc-d686-4607-9c36-51975fbde36c.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/627b66bc-d686-4607-9c36-51975fbde36c
Datacite citation style:
Blanco Londoño, Sergio Andrés; Torres Lozada, Patricia; Galvis Castaño, Alberto; Schütze, Manfred (2024): Data underlying a conceptual framework for the analysis of engineering and socio-ecological resilience of urban drainage systems. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/627b66bc-d686-4607-9c36-51975fbde36c.v1
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Dataset

Although resilience contributes to improving the sustainability of urban drainage systems (UDSs), in general, it is not considered in UDS management; furthermore, when it is considered, usually it is considered either as engineering (ER) or as socio-ecological (SER) resilience. This article proposes and discusses a conceptual framework that can analyse ER and SER through a comprehensive resilience (CR) index in a UDS with a focus on floods, considering national and international experiences and methodologies related to resilience analyses and is applicable to UDSs. The framework was evaluated in the Southern Drainage System (SDS) of the city of Cali, Colombia, obtaining moderate values of ER and the CR index, and low values of SER. This conceptual framework can be useful for decision-makers in UDSs management and should be evaluated considering different threat scenarios and mitigation strategies.

history
  • 2024-02-20 first online, published, posted
publisher
4TU.ResearchData
format
pdf, excel
funding
  • Colombian National Administrative Department for Science, Technology and Innovation (COLCIENCIAS) scholarship
  • Universidad del Valle [more info...]
organizations
Universidad del Valle, Faculty of Engineering, Cali, Colombia

DATA

files (2)