Natalia Alexandra Bernal Quintero
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Natalia Alexandra Bernal Quintero has a total of 15 co-authors. Here are the top co-authors by number of shared publications:
Alessia Banfi
Politecnico di Milano
1 shared publication- Alessia Banfi
Politecnico di Milano
1 shared publication Carlos Rivera-Gómez
Universidad de Sevilla
1 shared publicationCarmen Galan-Marin
Universidad de Sevilla
1 shared publicationFrancesco Causone
Politecnico di Milano
1 shared publication- Francesco Causone
Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156 Milano, Italy
1 shared publication
Latest Publications
- 2 January 2026
- Published by Springer Nature
- p. 1004-1014
Modelling Urban Green Infrastructure (UGI) Through Numerical Simulations: A Literature Review
- 2 January 2026
- Published by Springer Nature
- p. 1004-1014
Modelling Urban Green Infrastructure (UGI) Through Numerical Simulations: A Literature Review
- 19 December 2024
- Published by Springer Nature
- p. 218-224
Insights from an Experimental Campaign to Assess Urban Outdoor Comfort Conditions
- 19 December 2024
- Published by Springer Nature
- p. 218-224
Insights from an Experimental Campaign to Assess Urban Outdoor Comfort Conditions
- Open Access
- 11 April 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (8) , 4560
A SUDS Planning Decision Support Tool to Maximize Ecosystem Services
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.
- 11 April 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (8) , 4560
Open AccessA SUDS Planning Decision Support Tool to Maximize Ecosystem Services
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.