Pobre, Kristina and Lannon, Simon Charles ORCID: https://orcid.org/0000-0003-4677-7184 2016. Effectiveness of neighbourhood retrofit strategies in mitigating the urban heat island in Salcedo Village, Philippines. Presented at: PLEA 2016 - Cities, Buildings, People: Towards Regenerative Environments, Proceedings of the 32nd International Conference on Passive and Low Energy Architecture, Los Angeles, CA, USA, 11-13 July 2016. Published in: LaRoche, Pablo and Schiler, Marc eds. PLEA 2016 - Cities, Buildings, People: Towards Regenerative Environments. , vol.3 Los Angeles, California: PLEA 2016 Los Angeles, pp. 1524-1530. |
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Abstract
Salcedo Village has become more susceptible to urban heat effects because of its continuous development. This study investigates urban retrofit strategies that effectively mitigates the heat through modelling and simulation in ENVI-met. It is identified to have a maximum of 1-1.4K heat increase over 100% of its area, recorded during December 23:00 at 2m from the ground. The temperature increase is used to measure the effectiveness of the neighbourhood retrofit strategies: provision of grass, water and trees at ground level, increase in vegetated area, and Leaf Area Density of trees, and pedestrian walk albedo. The effectiveness of each strategy is quantified by its temperature difference and percentage area affected, compared with the 2014 Case model. The most effective strategy is the Leaf Area Density of trees, followed by the increase in vegetated area and the planting of trees; while all the others showed insignificant effect. The individual effects of these strategies, however are relatively small compared to the 1-1.4K heat. It was found through a combined test case that the application of these strategies together can make, but not limited to 1-1.5K change over 26% of the area.
Item Type: | Conference or Workshop Item (Paper) |
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Date Type: | Publication |
Status: | Published |
Schools: | Architecture |
Subjects: | N Fine Arts > NA Architecture |
Publisher: | PLEA 2016 Los Angeles |
ISBN: | 9780692749616 |
Date of First Compliant Deposit: | 28 June 2017 |
Last Modified: | 01 Nov 2022 11:18 |
URI: | https://orca.cardiff.ac.uk/id/eprint/94495 |
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