Journal of Digital Landscape Architecture

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Multi-objective Optimization of Digital Terrain Models for Climate Adaptation Planning

As part of a joint effort between academia and practice, we propose a novel approach to digital terrain modelling for climate adaptation planning. In contrast to existing workflows, it allows designers to merely describe desired drainage patterns for a given site and use genetic solvers for their subsequent optimization. Leveraging algorithmic strategies opens the possibility to analyse multiple proposed site layouts and identify the most resilient ones. By validating the method on three typical residential development projects, this paper puts renewed emphasis on the importance of terrain modelling in the context of flood protection – a domain often dominated by technical, hardscape solutions.

Autor / Author: Hermansdorfer, Mariusz; Skov-Petersen, Hans; Fricker, Pia
Institution / Institution: University of Copenhagen, Ramboll Studio Dreiseitl/Denmark; University of Copenhagen/Denmark; Aalto University, Espoo/Finland
Seitenzahl / Pages: 10
Sprache / Language: Englisch
Veröffentlichung / Publication: JoDLA – Journal of Digital Landscape Architecture, 7-2022
Tagung / Conference: Digital Landscape Architecture 2022 – Hybrid Landscapes
Veranstaltungsort, -datum / Venue, Date: Harvard University, Cambridge Mass, USA 09-06-22 - 10-06-22
Schlüsselwörter (de):
Keywords (en): Algorithmic design, climate adaptation planning, terrain modelling, evolutionary solvers
Paper review type: Full Paper Review
DOI: doi:10.14627/537724044
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