Federica Ghione

• Ghione, Federica; Köhler, Andreas; Dichiarante, Anna Maria; Aarnes, Ingrid & Oye, Volker (2023). Vs30 and depth to bedrock estimates from integrating HVSR measurements and geology-slope approach in the Oslo area, Norway. Frontiers in Earth Science. ISSN 2296-6463. 11. doi: 10.3389/feart.2023.1242679. Fulltekst i vitenarkiv Vis sammendrag

  This work shows an alternative and efficient method to estimate Vs30 values and depth to basement data. The Vs30 value is the most important attribute to characterize the soil type and subsequently account for soil type related seismic amplification. We believe that these tools offer a powerful, non-invasive and cost-effective solution for obtaining accurate estimations of depth to basement. This approach is providing valuable information for seismic hazard assessments, geotechnical investigations and engineering design, as it can help estimate the amplification of ground motions during earthquakes, which is dependent on the soil properties and depth to bedrock. Overall, this study highlights the importance of understanding the geological and geotechnical characteristics of an area in order to accurately assess the seismic hazard and potential impacts of earthquakes. Those results can be used in earthquake hazard models and support decision-making processes related to land use planning, building codes, and emergency preparedness measures in earthquake-prone regions.

• Ghione, Federica; Mæland, Steffen; Meslem, Abdelghani & Oye, Volker (2022). Building Stock Classification Using Machine Learning: A Case Study for Oslo, Norway. Frontiers in Earth Science. ISSN 2296-6463. 10. doi: 10.3389/feart.2022.886145.
• Ghione, Federica; Poggi, Valerio & Lindholm, Conrad (2021). A hybrid probabilistic seismic hazard model for Northeast India and Bhutan combining distributed seismicity and finite faults. Physics and Chemistry of the Earth. ISSN 1474-7065. doi: 10.1016/j.pce.2021.103029.

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• Ghione, Federica; Köhler, Andreas; Dichiarante, Anna Maria & Oye, Volker (2023). Vs30 and depth to bedrock estimates using H/V measurements and geology and slope approach in the Oslo area, Norway. Vis sammendrag

  Common practice to perform a seismic hazard study at regional scale is to present the results computed at bedrock condition. Site effects are usually not considered because soil information is not always available. Our goal is to carry out a site-specific seismic hazard study for the city of Oslo (Norway), conducting a microzonation study that will include site effects. More specifically, the average shear wave velocity in the upper 30 meters of the ground (Vs30) has been introduced to become the main attribute to characterize the soil type and subsequently account for soil type related seismic amplification<p>Vs30 values are missing for the Oslo area, therefore we propose an integrated approach that estimates Vs30 using Horizontal-to-Vertical Spectral Ratio (HVSR) method together with a combined geology-slope approach. A campaign with 61 H/V measurements has been performed between March and June 2021 at specific locations in Oslo. Topographic slope attributed are extracted from DTM10 (10 m horizontal-scale resolution Digital Terrain Model), provided by the Norwegian Mapping Authority agency. In addition to resulting Vs30 values, this method will also allow us to define depth to bedrock estimates, which will likely be required for an updated Eurocode. This procedure is applied in specific areas in the Oslo urban environment that are susceptible to site effect amplifications.

• Ghione, Federica (2022). Could “Skjelvet” actually happen?
• Ghione, Federica; Oye, Volker & Köhler, Andreas (2022). Towards the implementation of site effects in a site- specific seismic hazard study for Oslo . Vis sammendrag

  Common practice to perform a seismic hazard study at regional scale is to present the results computed at bedrock condition. Site effects are usually not considered because soil information is not always available. Our goal is to carry out a site-specific seismic hazard study for the city of Oslo (Norway), conducting a microzonation study that will include site effects. More specifically, the Vs30 value has been introduced to become the main attribute to characterize the soil type and subsequently account for soil type related seismic amplification. Vs30 values are missing for the Oslo area, therefore we aim to invert Horizontal-to-Vertical (H/V) spectral ratio of ambient seismic noise as a proxy for S-wave velocity (Vs) profiles. A campaign with 61 measurements has been performed between March and June 2021 at specific locations in Oslo. In addition to resulting Vs30 values, this method will also allow us to define depth to bedrock estimates, which will likely be required for an updated Eurocode. The Vs30 values extracted from H/V measurements are compared to the Vs30 estimates from topographic slope attributes extracted from DTM (Digital Terrain Model). This procedure is applied in specific areas in the Oslo urban environment that are susceptible to site effect amplifications.

• Ghione, Federica (2022). A safer society: the role of seismic hazard and risk. Vis sammendrag

  Federica Ghione (NORSAR) will talk about her background, her typical day at work and her competences, that are related to seismic hazard and risk. She will explain the difference between hazard and risk concepts, giving some examples. She will talk about current projects that she is actively involved (as her PhD project) and she will give some information about the New Seismic Hazard Map for Norway released in 2020 by NORSAR.”

• Ghione, Federica; Mæland, Steffen; Meslem, Abdelghani & Oye, Volker (2022). Building typologies for Norway: a case study for Oslo using machine learning. Vis sammendrag

  To evaluate potential human and economic losses in a seismic risk assessment, it is important to define an exposure model by defining building materials and characteristics. The common approach to develop an exposure model is to have a first overview of the area with Google Earth and to perform extensive fieldwork in representative areas of the city. This procedure is time and cost consuming, and it is also subject to personal interpretation. To mitigate these costs, a Convolutional Neural Network (CNN) is used to automatically identify the different building typologies in the city of Oslo, Norway, based on facade images taken from in-situ fieldwork and Google Street View. The present article attempts to categorize Oslo’s building stock in five main building typologies: timber (T), unreinforced masonry (MUR), reinforced concrete (CR), composite (steel reinforced concrete) (SRC) and steel (S). This method shows good results for timber buildings with 91% accuracy score, but only 41% for steel reinforced concrete buildings. These variations can be explained by differences in the number of labelled images for each typology, comprising the training data, and differences in complexity between typologies. This work is the first tentative to identify Norwegian building typologies: based on experts judgement, the five types observed in Oslo can be applicable at national level. In addition, this study shows that CNNs can significantly contribute in terms of developing a cost-effective exposure model.

• Ghione, Federica & Oye, Volker (2021). On the implementation of site effects for the new Seismic Hazard Map of Norway: an Oslo area case study.
• Ghione, Federica & Oye, Volker (2021). Seismic hazard map, Norway, site amplification, Vs30.
• Ghione, Federica; Eriksen, Torun Risdal; Bratsberg, Eldrid & Malaj, Milot (2021). Mitigation measures for landslides in Arnegårdslia, Nesbyenmunicipality (Norway).
• Ghione, Federica; Oye, Volker & Mortensholm, Hans Petter Laahne (2020). Combining the Øygarden Fault Zone and past seismicity to develop a Probabilistic Seismic Hazard Study for U-864 submarine wreck location, west of Fedje Island (Norway).
• Dichiarante, Anna Maria; Köhler, Andreas; Oye, Volker; Ghione, Federica; Mæland, Steffen & Redfield, Thomas Fitzmaurice [Vis alle 8 forfattere av denne artikkelen] (2020). Towards real-time monitoring and multi-risk assessment using seismic/acoustic and remote sensing data in the Oslo region.
• Ghione, Federica; Poggi, Valerio & Lindholm, Conrad (2019). A hybrid Probabilistic Seismic Hazard model for Northeast India and Bhutan combining distributed seismicity and finite faults .

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