Assessment of Building Vulnerability to Tsunami in Ancon Bay, Peru, Using High-Resolution Unmanned Aerial Vehicle Imagery and Numerical Simulation
Traditional tsunami vulnerability assessments often rely on empirical models and field surveys, which can be time-consuming and have limited accuracy. In this study, we propose a novel approach that integrates high-resolution Unmanned Aerial Vehicle (UAV) photogrammetry with numerical simulation to...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Drones |
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| Online Access: | https://www.mdpi.com/2504-446X/9/6/402 |
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| author | Carlos Davila Angel Quesquen Fernando Garcia Brigitte Puchoc Oscar Solis Julian Palacios Jorge Morales Miguel Estrada |
| author_facet | Carlos Davila Angel Quesquen Fernando Garcia Brigitte Puchoc Oscar Solis Julian Palacios Jorge Morales Miguel Estrada |
| author_sort | Carlos Davila |
| collection | DOAJ |
| description | Traditional tsunami vulnerability assessments often rely on empirical models and field surveys, which can be time-consuming and have limited accuracy. In this study, we propose a novel approach that integrates high-resolution Unmanned Aerial Vehicle (UAV) photogrammetry with numerical simulation to improve vulnerability assessment efficacy in Ancon Bay, Lima, Peru, by using the Papathoma Tsunami Vulnerability Assessment (PTVA-4) model. For this purpose, a detailed 3D representation of the study area was generated using UAV-based oblique photogrammetry, enabling the extraction of building attributes. Additionally, a high-resolution numerical tsunami simulation was conducted using the TUNAMI-N2 model for a potential worst-case scenario that may affect the Central Peru subduction zone, incorporating topographic and land-use data obtained with UAV-based nadir photogrammetry. The results indicate that the northern region of Ancon Bay exhibits higher relative vulnerability levels due to greater inundation depths and more tsunami-prone building attributes. UAV-based assessments provide a rapid and detailed method for evaluating building vulnerability. These findings indicate that the proposed methodology is a valuable tool for supporting coastal risk planning and disaster preparedness in tsunami-prone areas. |
| format | Article |
| id | doaj-art-fe196de8750145d6afcbf054e12705e6 |
| institution | Kabale University |
| issn | 2504-446X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj-art-fe196de8750145d6afcbf054e12705e62025-08-20T03:27:18ZengMDPI AGDrones2504-446X2025-05-019640210.3390/drones9060402Assessment of Building Vulnerability to Tsunami in Ancon Bay, Peru, Using High-Resolution Unmanned Aerial Vehicle Imagery and Numerical SimulationCarlos Davila0Angel Quesquen1Fernando Garcia2Brigitte Puchoc3Oscar Solis4Julian Palacios5Jorge Morales6Miguel Estrada7GeoGiRD Research Group, Facultad de Ingenieria Civil, Universidad Nacional de Ingenieria, Lima 15333, PeruGeoGiRD Research Group, Facultad de Ingenieria Civil, Universidad Nacional de Ingenieria, Lima 15333, PeruGeoGiRD Research Group, Facultad de Ingenieria Civil, Universidad Nacional de Ingenieria, Lima 15333, PeruGeoGiRD Research Group, Facultad de Ingenieria Civil, Universidad Nacional de Ingenieria, Lima 15333, PeruGeoGiRD Research Group, Facultad de Ingenieria Civil, Universidad Nacional de Ingenieria, Lima 15333, PeruGeomatics Laboratory, Centro Peruano Japones de Investigaciones Sismicas y Mitigacion de Desastres, Lima 15333, PeruGraduate School of Engineering, Tohoku University, Sendai 980-8579, JapanGeoGiRD Research Group, Facultad de Ingenieria Civil, Universidad Nacional de Ingenieria, Lima 15333, PeruTraditional tsunami vulnerability assessments often rely on empirical models and field surveys, which can be time-consuming and have limited accuracy. In this study, we propose a novel approach that integrates high-resolution Unmanned Aerial Vehicle (UAV) photogrammetry with numerical simulation to improve vulnerability assessment efficacy in Ancon Bay, Lima, Peru, by using the Papathoma Tsunami Vulnerability Assessment (PTVA-4) model. For this purpose, a detailed 3D representation of the study area was generated using UAV-based oblique photogrammetry, enabling the extraction of building attributes. Additionally, a high-resolution numerical tsunami simulation was conducted using the TUNAMI-N2 model for a potential worst-case scenario that may affect the Central Peru subduction zone, incorporating topographic and land-use data obtained with UAV-based nadir photogrammetry. The results indicate that the northern region of Ancon Bay exhibits higher relative vulnerability levels due to greater inundation depths and more tsunami-prone building attributes. UAV-based assessments provide a rapid and detailed method for evaluating building vulnerability. These findings indicate that the proposed methodology is a valuable tool for supporting coastal risk planning and disaster preparedness in tsunami-prone areas.https://www.mdpi.com/2504-446X/9/6/402photogrammetryoblique imageunmanned aerial vehicle (UAV)tsunami hazardnumerical simulationTUNAMI-N2 |
| spellingShingle | Carlos Davila Angel Quesquen Fernando Garcia Brigitte Puchoc Oscar Solis Julian Palacios Jorge Morales Miguel Estrada Assessment of Building Vulnerability to Tsunami in Ancon Bay, Peru, Using High-Resolution Unmanned Aerial Vehicle Imagery and Numerical Simulation Drones photogrammetry oblique image unmanned aerial vehicle (UAV) tsunami hazard numerical simulation TUNAMI-N2 |
| title | Assessment of Building Vulnerability to Tsunami in Ancon Bay, Peru, Using High-Resolution Unmanned Aerial Vehicle Imagery and Numerical Simulation |
| title_full | Assessment of Building Vulnerability to Tsunami in Ancon Bay, Peru, Using High-Resolution Unmanned Aerial Vehicle Imagery and Numerical Simulation |
| title_fullStr | Assessment of Building Vulnerability to Tsunami in Ancon Bay, Peru, Using High-Resolution Unmanned Aerial Vehicle Imagery and Numerical Simulation |
| title_full_unstemmed | Assessment of Building Vulnerability to Tsunami in Ancon Bay, Peru, Using High-Resolution Unmanned Aerial Vehicle Imagery and Numerical Simulation |
| title_short | Assessment of Building Vulnerability to Tsunami in Ancon Bay, Peru, Using High-Resolution Unmanned Aerial Vehicle Imagery and Numerical Simulation |
| title_sort | assessment of building vulnerability to tsunami in ancon bay peru using high resolution unmanned aerial vehicle imagery and numerical simulation |
| topic | photogrammetry oblique image unmanned aerial vehicle (UAV) tsunami hazard numerical simulation TUNAMI-N2 |
| url | https://www.mdpi.com/2504-446X/9/6/402 |
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