This repository houses a comprehensive compilation of volcano vulnerability models in a CSV file format. We hope this collection will serve as an invaluable resource for researchers, volcanologists, risk scientists, and anyone else interested in studying and understanding the impacts of volcanic activities on various elements such as buildings, infrastructure, and humans. The repository is intented to be a community maintained project, and we are continuously looking for contributions from the community to keep the database up-to-date and as comprehensive as possible.
Global_vulnerability_models.csv: This is the main CSV file that contains a wide range of volcano vulnerability models from various sources. Each row represents a unique model, with numerous columns detailing specific features of each model.
Global_vulnerability_models.csv file includes, but is not limited to, the following columns:
- Sector_class: The high level sector class that model covers (e.g., energy sector, building sector).
- Asset_class: A sub-class of the sector class (e.g., residential buildings).
- Component_class: If the model only considers one component of a broader system (e.g., roofs for buildings, insulators for electricity lines).
- Component_specific: Specific considerations for the component (e.g., high voltage vs low voltage power lines).
- Specific_typology_class: The specific classification the model uses. This is reported as published.
- Model_Type: The type vulnerability model (e.g., fragility function, vulnerability function).
- Derivation_method: The underpinning method the model was developed using (e.g., empirical, expert ellicitation, hybrid).
- Hazard_family: The hazard the model is applicable for.
- HIM_class: The hazard intensity metric used for the model.
- Hazard_context: Any specific context that the model considers (e.g., wet compacted tephra, density of pyroclastic flow density).
- Risk_metric_family: The type of risk metric the model outputs (damage, loss etc).
- Risk_metric_class: The specific type of metric used (e.g., Damage ratio, Damage state)
- Risk_metric_context: Additional contextual information to explain the risk metric.
- States: How many states are used if the risk metric uses damage/impact states.
- Uncertainty: Boolean yes/no as to whether the model explicitely captures uncertainty
- Uncertainty_type: The type of uncertainty the model uses (e.g., lognormal distribution)
- Data_type: Whether the data of the risk metric is qualitative, semi-quantitative, or quantitative.
- Published_retrospective_evaluation: Has the model been retrospectively evaluated with published resuts?
- Benchmarking: Has the model been benchmarked against other compariable models?
- Published: The publication of the model.
- Year: The year in which the model was published.
- Link: Link to the publication.
- Opensource_code: Is there any opensource code available for the model?
- Link_to_code: A link to any opensource code for the model that is available.
Note: The list and fields may be adjusted or removed in future to adapt to changing needs of the community.
You can clone this repository to your local machine for further analysis. Please ensure you have the necessary tools and libraries to read CSV files.
We welcome contributions to this repository. If you have a volcano vulnerability model that is not in this compilation, please feel free to propose its addition. Ensure that the proposed model follows the existing structure for consistency.
If you encounter any problems with the data, please file an issue in this repository. We will respond as soon as possible. Also, feel free to suggest enhancements or improvements to the repository.
This project is licensed under the MIT License - see the LICENSE file for details.
For any other questions or discussions, please contact Josh Hayes.
Thank you for your interest in our Volcano Vulnerability Models Repository! We look forward to your valuable contributions.