Program to serve a fragility / vulnerability model according to a given schema - RIESGOS Project
Pittore, Massimiliano; Gomez-Zapata, Juan Camilo; Brinckmann, Nils; Rüster, Matthias (2021): Assetmaster and Modelprop: web services to serve building exposure models and fragility functions for physical vulnerability to natural-hazards. V. 1.0. GFZ Data Services. https://doi.org/10.5880/riesgos.2021.005
We use a virtual environment, so you can need to create it and install the pacakges from pip:
python3 -m venv env
source env/bin/activate
pip install -r requirements.txtAfter that you can run modelprop as in the following example:
python3 modelprop.py SARA-v1.0 buildings structuralWhat are the parameters:
| Parameter | Example | Purpose |
|---|---|---|
| schema | SARA-v1.0 | This is the schema for the taxonomy. |
| asset category | buildings | In this case we are only interested in buildings, and not in other infrastructure. |
| loss category | structural | In this case we care about physical damage on the structure of the buildings. |
| taxonomy | You can use this to just query a subset of the schema giving a taxonomy. This is empty by default. |
At the moment we support the following schemas:
- HAZUS-v1.0
- SARA-v1.0
- SUPPASRI2013-v2.0
- Mavrouli et al. 2014
- Torres Corredor et al. 2017
You can get a up to date list of the supported schemas by running the following commands in a python shell from within this folder:
import modelprop
modelprop.get_supported_schemas()At the moment only buildings are supported.
At the moment we only support structural as loss category.
The very first part is to check that the name of your schema file has the name <your_schema_name>_struct.json and
that this will be inserted in the folder <your_schema_name> in the schema subfolder.
It is important to have a meta block, with an id and the list of taxonomies and a data list with the fragility function data for your taxonomy.
Every taxonomy that is listed in the data list must also be in the meta section and vice versa.
You can test it with the assistance/check_modelprop_json_file.py file.
Copyright © 2021 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
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Deus was developed in the scope of the RIESGOS project: Multi-Risk Analysis and Information System Components for the Andes Region (https://www.riesgos.de/en)