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A Preliminary Contribution towards a Risk-Based Model for Flood Management Planning Using BIM: A Case Study of Lisbon.
Del Duca, Graziella; Rocha, Gustavo; Orszt, Marta; Mateus, Luis.
Afiliação
  • Del Duca G; Centro de Investigação em Arquitetura, Urbanismo e Design (CIAUD), Faculdade de Arquitetura, Universidade de Lisboa, 1349-063 Lisbon, Portugal.
  • Rocha G; Faculdade de Arquitetura, Universidade de Lisboa, 1349-063 Lisbon, Portugal.
  • Orszt M; Faculdade de Arquitetura, Universidade de Lisboa, 1349-063 Lisbon, Portugal.
  • Mateus L; Centro de Investigação em Arquitetura, Urbanismo e Design (CIAUD), Faculdade de Arquitetura, Universidade de Lisboa, 1349-063 Lisbon, Portugal.
Sensors (Basel) ; 22(19)2022 Oct 01.
Article em En | MEDLINE | ID: mdl-36236558
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planejamento de Cidades / Inundações Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planejamento de Cidades / Inundações Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article