Publicação
Modelo geológico tridimensional da cidade de Lisboa
| Resumo: | The city of Lisbon has complex geology and is subject to significant natural hazards of geological and climatic origin, such as earthquakes, floods, and mass movements, which requires a deeper understanding of the subsurface in the context of urban planning. However, the available geological information is mostly two-dimensional and sporadic, which limits its applicability. Three-dimensional modelling allows for the integration of multiple data sources, reducing uncertainties and supporting more informed and sustainable decisions. This approach contributes to a holistic understanding of urban geology and the definition of resilience strategies. Currently, there is no city-scale 3D geological model at the national level. The work done is for a small area in Lisbon, using closed-source computer applications, which makes it difficult to access or replicate. In addition, the available information on the data and methodology to be used is scattered, so this report sought to conduct exhaustive research on the subject. Research was also conducted on existing geological-geotechnical models in Portugal and worldwide, highlighting their impact on society. The aim of this work is to design and build a three-dimensional model of a pilot area located in the city of Lisbon, with a view to providing a geometric representation of the geological formations. In this work, the pilot area to be considered for the design of the model, the geological formations present in it, and the available information were defined. Three different methodologies were tested: surveys, profiles, and outcrop patterns, using ArcGIS Pro and Python programming. Based on the results presented, it was concluded that the best method would be the outcrop pattern, using the thicknesses of the formations and the slope. The three-dimensional geological model then materialized in voxel format and constitutes the geometric basis for entering subsurface parameterization data. |
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| Autores principais: | Ferreira,Alexandra Cordeiro |
| Assunto: | Three-dimensional geological modelling Geological and geotechnical data Python programming language Interpolation City of Lisbon |
| Ano: | 2026 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | português |
| Origem: | Repositório da Universidade de Lisboa |
| Resumo: | The city of Lisbon has complex geology and is subject to significant natural hazards of geological and climatic origin, such as earthquakes, floods, and mass movements, which requires a deeper understanding of the subsurface in the context of urban planning. However, the available geological information is mostly two-dimensional and sporadic, which limits its applicability. Three-dimensional modelling allows for the integration of multiple data sources, reducing uncertainties and supporting more informed and sustainable decisions. This approach contributes to a holistic understanding of urban geology and the definition of resilience strategies. Currently, there is no city-scale 3D geological model at the national level. The work done is for a small area in Lisbon, using closed-source computer applications, which makes it difficult to access or replicate. In addition, the available information on the data and methodology to be used is scattered, so this report sought to conduct exhaustive research on the subject. Research was also conducted on existing geological-geotechnical models in Portugal and worldwide, highlighting their impact on society. The aim of this work is to design and build a three-dimensional model of a pilot area located in the city of Lisbon, with a view to providing a geometric representation of the geological formations. In this work, the pilot area to be considered for the design of the model, the geological formations present in it, and the available information were defined. Three different methodologies were tested: surveys, profiles, and outcrop patterns, using ArcGIS Pro and Python programming. Based on the results presented, it was concluded that the best method would be the outcrop pattern, using the thicknesses of the formations and the slope. The three-dimensional geological model then materialized in voxel format and constitutes the geometric basis for entering subsurface parameterization data. |
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