Planning & Management

Oral

392854 - Development of a prioritization tool of cities’ sub-catchments for the optimized sitting of Green Infrastructure. Case of study: Bogotá (Colombia)

Wednesday, June 6
4:00 PM - 5:30 PM
Location: Northstar B
Co-Authors: Zhenduo Zhu, Buffalo, NY – University at Buffalo (SUNY); Juan Pablo Rodríguez, Bogotá (Colombia) – Universidad de los Andes

Green infrastructure (GI) are engineered-as-natural systems (e.g. green roofs, porous pavements, rain gardens) which reduce runoff rates while providing additional benefits (EPA 2012). Decision making regarding GI sitting is an analytical complex process, given that it involves the evaluation of a high number of variables, constraints and rainfall scenarios (Elliot 2007). Additionally, as the resources (e.g budget, land availability) are always limited, the prioritization of sub-catchment for GI investment would help decision makers to determine where in a city is more beneficial to locate these structures. This study proposes the development of a methodology that, using readily available information and linear optimization techniques, determines in which sub-catchments is more convenient to locate GI in order to reduce both runoff volumes and combined sewer overflows (CSOs). To achieve this goal, the City Drain model (Achleitner et al. 2007; Rodríguez et al. 2013) is used to model in a simplified way the runoff generation and the flows between sub-catchments. CSOs and runoff series are obtained for three precipitation scenarios (low, medium and high). Three indexes are proposed to quantify the reduction on both CSOs and runoff volumes; and a linear behavior is assumed within GI implementation area and these indexes. A lexicographic multi-objective model is used to find the prioritized sub-catchments within a city. The methodology was applied to a sub-set of sub-catchments of Bogotá (Colombia), consisting of 45 sub-catchments located at the north-west of the city and comprising an area of 38 km2. Preliminary results, showed that the prioritized sub-catchments is highly dependent on the available resources (land availability) and that the optimal solution does not necessarily involves the selection of the “best” isolated sub-catchments.

María Nariné Torres Cajiao, MA

PhD student
Universidad de los Andes, University at Buffalo

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392854 - Development of a prioritization tool of cities’ sub-catchments for the optimized sitting of Green Infrastructure. Case of study: Bogotá (Colombia)



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