{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,19]],"date-time":"2026-04-19T09:57:17Z","timestamp":1776592637232,"version":"3.51.2"},"reference-count":19,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2024,11,2]],"date-time":"2024-11-02T00:00:00Z","timestamp":1730505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Applied Sciences"],"abstract":"<jats:p>The downtown area of the city of Coimbra, Portugal, is at low altitude and has historically suffered floods that have caused serious economic losses. The present research proposes a mobile augmented reality (MAR) application aimed at visualising the effect of possible scenarios of flooding in an area of higher risk in the city. A realistic 3D model of the city was created, using data extracted with BLosm and processed through Blender, followed by its integration into Unity with Vuforia for AR visualisation. The methodology encompasses the extraction and simplification of 3D models, mapping real-world coordinates in Unity, analysing several datasets, obtaining a model through regression and implementing a workflow to manage interactions between various Unity objects. The MAR application enables users to visualise potential flood impacts on buildings, utilising colour-coded indicators to represent different levels of water contact. The system\u2019s efficacy was evaluated by simulating various use-case scenarios, demonstrating the application\u2019s capability to provide real-time, interactive flood risk assessments. The results underline the potential of integrating AR and machine learning for enhancing urban flood management and prevention.<\/jats:p>","DOI":"10.3390\/app142110017","type":"journal-article","created":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T03:57:34Z","timestamp":1730692654000},"page":"10017","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Mobile Augmented Reality Application to Evaluate the River Flooding Impact in Coimbra"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-7309-938X","authenticated-orcid":false,"given":"Mehdi","family":"Lamrabet","sequence":"first","affiliation":[{"name":"Haute \u00c9cole Bruxelles-Brabant (ISIB), 1180 Brussels, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9762-5802","authenticated-orcid":false,"given":"Rudi","family":"Giot","sequence":"additional","affiliation":[{"name":"Haute \u00c9cole Bruxelles-Brabant (ISIB), 1180 Brussels, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4837-4349","authenticated-orcid":false,"given":"Jorge","family":"Almeida","sequence":"additional","affiliation":[{"name":"Coimbra Institute of Engineering, Polytechnic University of Coimbra, Rua Pedro Nunes-Quinta da Nora, 3030-199 Coimbra, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4313-7966","authenticated-orcid":false,"given":"Mateus","family":"Mendes","sequence":"additional","affiliation":[{"name":"Coimbra Institute of Engineering, Polytechnic University of Coimbra, Rua Pedro Nunes-Quinta da Nora, 3030-199 Coimbra, Portugal"},{"name":"RCM2+ Research Centre for Asset Management and Systems Engineering, Rua Pedro Nunes, 3030-199 Coimbra, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2024,11,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Tabari, H. 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