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Open AccessArticle

Configuring Green Infrastructure for Urban Runoff and Pollutant Reduction Using an Optimal Number of Units

1
Universidad del Magdalena, Program of Civil Engineering, Carrera 32 No. 22-08, Santa Marta 470002, Colombia
2
Environmental Engineering and Water Technology Department, IHE-Delft Institute for Water Education, Westvest 7, 2611 AX Delft, The Netherlands
3
Cinara Institute, Faculty of Engineering, Universidad Del Valle Calle 13 N° 100-00, Building 341, Cali 76001, Colombia
*
Author to whom correspondence should be addressed.
Water 2018, 10(11), 1528; https://doi.org/10.3390/w10111528
Received: 8 August 2018 / Revised: 9 October 2018 / Accepted: 15 October 2018 / Published: 26 October 2018
(This article belongs to the Special Issue Water Sensitive Urban Design)
Green infrastructure (GI) has been regarded as an effective intervention for urban runoff reduction. Despite the growing interest in GI, the technical knowledge that is needed to demonstrate their advantages, cost, and performance in reducing runoff and pollutants is still under research. The present paper describes a framework that aims to obtain the optimal configuration of GI (i.e., the optimal number of units distributed within the catchment) for urban runoff reduction. The research includes an assessment of the performance of GI measures dealing with pollution load, peak runoff, and flood volume reduction. The methodological framework developed includes: (1) data input, (2) GI selection and placement, (3) hydraulic and water quality modelling, and (4) assessing optimal GI measures. The framework was applied in a highly urbanized catchment in Cali, Colombia. The results suggest that if the type of GI measure and its number of units are taken into account within the optimisation process, it is possible to achieve optimal solutions to reduce the proposed reduction objectives with a lower investment cost. In addition, the results also indicate a pollution load, peak runoff, and flood volume reduction for different return periods of at least 33%, 28%, and 60%, respectively. This approach could assist water managers and their stakeholders to assess the trade-offs between different GI. View Full-Text
Keywords: green infrastructure; hydrodynamic modelling; multi-objective optimisation; urban drainage green infrastructure; hydrodynamic modelling; multi-objective optimisation; urban drainage
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MDPI and ACS Style

Martínez, C.; Sanchez, A.; Galindo, R.; Mulugeta, A.; Vojinovic, Z.; Galvis, A. Configuring Green Infrastructure for Urban Runoff and Pollutant Reduction Using an Optimal Number of Units. Water 2018, 10, 1528. https://doi.org/10.3390/w10111528

AMA Style

Martínez C, Sanchez A, Galindo R, Mulugeta A, Vojinovic Z, Galvis A. Configuring Green Infrastructure for Urban Runoff and Pollutant Reduction Using an Optimal Number of Units. Water. 2018; 10(11):1528. https://doi.org/10.3390/w10111528

Chicago/Turabian Style

Martínez, Carlos; Sanchez, Arlex; Galindo, Roberto; Mulugeta, Aelaf; Vojinovic, Zoran; Galvis, Alberto. 2018. "Configuring Green Infrastructure for Urban Runoff and Pollutant Reduction Using an Optimal Number of Units" Water 10, no. 11: 1528. https://doi.org/10.3390/w10111528

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