Research Data Leeds Repository

Citation

Osman, Sara (2023) Fail Fraction: ArcGIS Pro and QGIS tools to calculate the probability of roof collapse under tephra fall loading. University of Leeds. [Dataset] https://doi.org/10.5518/1458

Dataset description

The Fail fraction tools (for ArcGIS Pro and QGIS) allow GIS users to calculate the probability of roof collapse under tephra fall loading for different eruption scenarios based on buildings’ roof type and condition properties and typical failure loads. There are versions of the tool for coarse and fine tephra as experimental results show fine tephra can be stable at higher roof pitches and the user must select the one that is most appropriate for the scenario being considered. The output is a map that shows the tephra load as a fraction of the failure load (the Fail fraction, F) and for values of F ≥ 1 the roof is at high risk of collapse.

Keywords:	tephra fall; roof collapse; GIS
Subjects:	F000 - Physical sciences > F600 - Geology > F680 - Geohazards F000 - Physical sciences > F800 - Physical geographical sciences > F840 - Physical geography > F846 - Geographical information systems
Divisions:	Faculty of Environment > School of Earth and Environment
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	12 Dec 2023 10:38
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1205
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Osman, Sara https://orcid.org/0000-0002-7659-7769 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: Panorama DTP (NERC), British Geological Survey University Funding Initiative Grant numbers: NE/S007458/1, S426 Publication date: 2023 Resource language: English Metadata language: English Research project title: Assessing roof vulnerability to collapse from tephra fall loading, with relevance to Ascension Island Publisher: University of Leeds Contact email: eesjo@leeds.ac.uk Last Modified: 24 Jul 2024 14:16

Files

Documentation

Fail fraction GIS tool instructions [732kB] Fail fraction GIS tool instructions [732kB] Fail fraction GIS tool instructions [732kB] Security: Anyone File name: Fail_fraction_GIS_tool_instructions.docx Content type: Documentation Description: Instructions for using the tool including how to format input data Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 732kB

readme_Osman_2023.txt [2kB] readme_Osman_2023.txt [2kB] readme_Osman_2023.txt [2kB] Security: Anyone File name: readme_Osman_2023.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2kB

Data

ArcGIS Pro layer file [38kB] ArcGIS Pro layer file [38kB] ArcGIS Pro layer file [38kB] Security: Anyone File name: Fail_fraction.lyrx Content type: Data License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 38kB

QGIS layer settings file [19kB] QGIS layer settings file [19kB] QGIS layer settings file [19kB] Security: Anyone File name: Fail_fraction.qml Content type: Data License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 19kB

Program

ArcGIS Pro fail fraction toolbox [36kB] ArcGIS Pro fail fraction toolbox [36kB] ArcGIS Pro fail fraction toolbox [36kB] Security: Anyone File name: Fail_fraction_toolbox.atbx Content type: Program License: MIT License File size: 36kB

QGIS fail fraction fine model [42kB] QGIS fail fraction fine model [42kB] QGIS fail fraction fine model [42kB] Security: Anyone File name: Fail_fraction_fine.model3 Content type: Program License: MIT License File size: 42kB

QGIS fail fraction coarse model [42kB] QGIS fail fraction coarse model [42kB] QGIS fail fraction coarse model [42kB] Security: Anyone File name: Fail_fraction_coarse.model3 Content type: Program License: MIT License File size: 42kB