A Preliminary Contribution towards a Risk-Based Model for Flood Management Planning Using BIM: A Case Study of Lisbon

Sensors (Basel). 2022 Oct 1;22(19):7456. doi: 10.3390/s22197456.

Abstract

Preparing a city for the impact of global warming is becoming of major importance. Adopting climate-proof policies and strategies in response to climate change has become a fundamental element for city planning. To this end, this research considers a multidisciplinary approach, at the local scale, able to connect urban planning and architecture, as a vital base for considering a coastal cities' ability to control the consequences of climate change, specifically floods. So far, there is a scarcity of research connecting sea ground and land surveys, and this study could become a foundational reference for coastline settlement management using BIM. We found in BIM (Building Information Modeling) a possible tool for managing coastal risk, since it can combine crowdsourced data for geometric and information modeling of the city. The proposed BIM model includes a topography used for 3D thematic maps, a riverbed model, and a waterway model. This model aims to facilitate coordination across separate actors and interests since the urban area model is always updatable and improvable. Focusing on a case study of Lisbon, we developed risk-based 3D maps of the area close to the shoreline of the Tagus River.

Keywords: 3D BIM map; BIM flood risk-based urban planning; BIM urban plan; CIM city information modeling; SLR sea level rise; coastal flood management; flood hazard; flood risk exposure; flood risk vulnerability; large BIM file.

MeSH terms

  • Cities
  • City Planning*
  • Climate Change
  • Floods*
  • Rivers

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