| id |
sigradi2023_404 |
| authors |
Carvalho, Tainah, Becker, Newton, Guedes, Joana, Medeiros, Joao Victor, Deodato, Joao Pedro and Appleyard, Maria |
| year |
2023 |
| title |
Landscape Information Modeling for vulnerable landscape recovery: the case of Bom Jardim in Fortaleza, Ceará, Brazil |
| source |
García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 113–124 |
| summary |
Even with the difficulty of implementing NBS for EbA as a solution due to the inconsistent documentation of past experiences and heavy dependence on local, ecological and social conditions, would it be possible to implement NBS that incorporate the needs of each place? This paper shows the experience of the implementation of a NBS in an urban area, in the context of “Present City Project”, using parametric modeling to simulate outcomes during the planning process. The algorithm used inputs to develop a multi-criteria analysis capable of translating urban complexity. The result of this process is a comprehensive map identifying the most efficient locations for implementing GI based on the provided data and the streets suitable for interventions with NBS as well as their water absorption capacity. Throughout the process of submitting the "Present City Project," the algorithm played a pivotal role as an essential tool for raising public awareness. |
| keywords |
Parametric Analysis, Nature Based Solutions, Landscape Information Modeling, Sustainable Design, Water Resources |
| series |
SIGraDi |
| email |
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| full text |
 file.pdf (1,085,787 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/03/08 14:06 |
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