Published May 3, 2022 | Version v1.0
Dataset Open

Luangwa Rift Active Fault Database v1.0

Creators

  • 1. University of Bristol
  • 2. University of Otago
  • 3. University of Zambia

Description

First release of the Luangwa Rift Active Fault Database for the submission of a manuscript to EGU Solid Earth.

Active fault database for the Luangwa Rift, Zambia compiled by Tess Turner, Luke Wedmore and Juliet Biggs at University of Bristol.

The Luangwa Rift Active Fault Database (LRAFD) is a freely available open-source geospatial database of active fault traces within the Luangwa Rift, Zambia.

The active fault database has been designed and released in line with the Global Earthquake Model standards. Full details of the criteria used to assess activity will be released in a publication that is currently in preparation.

Citation
Please cite the latest release of this database on Zenodo in addition to the following manuscript:
Turner, T. Wedmore, L.N.J., Biggs, J. Williams, J.N., Sichingabula, H.M., Kabumbu, C., Banda, K. The Luangwa Rift Active Fault Database and fault reactivations along the southwestern branch of the East African Rift. _Submitted to EGU Solid Earth_

Data Format
The LRAFD is a geospatial database containing a collection of active fault traces in GIS vector format. Each fault is mapped as a single continuous GIS feature, and has associated metadata that describe the geometry of the fault and various aspects of its exposure and the methodology used to map the fault.

The list below describes the attributes within the LRAFD. These attributes are based on the Global Earthquake Model Global Active Faults Database (GEM-GAFD; Styron and Pagani, 2020). Note, we do not currently include all attributes from the GEM-GAFD as these data have not been collected in the Luangwa Rift. It is the intention that future versions of this database will include more attributes. No assessment is made of the seismogenic properties of the faults in the LRAFD as this is subjective. These data have been compiled in the publication associated with this database.


Data Table

Luangwa Rift Active Fault Database Attributes
Attribute Data Type Description Notes
LRAFD_ID integer Unique Fault IDentification number assigned to each fault trace  
Fault_Name string Name of Fault Assigned using local geographic features or towns
Dip_Direction string Compass quadrant of fault dip direction  
slip_type string kinematic type of fault e.g. normal, reverse, sinistral-strike slip, dextral-strike slip
Fault_Length decimal Straight line distance between the tips of the fault  
GeomorphicExpression string Geomorphic feature/features used to identify the fault trace and its extent e.g. escarpment, fault scarp, offset sedimentary feature
Method string DEM or geologic dataset used to identify and map the fault trace e.g. digital elevation model hillshade, slope map
Confidence integer Confidence of recent (Quaternary) activity Ranges from 1-4, 1 if high certainty, 4 if low certainty
ExposureQuality integer Fault exposure quality 1 if high, 2 if low
EpistemicQuality integer Certainty of whether a fault exists there 1 if high, 2 if low
Accuracy integer Coarsest scale at which fault trace can be mapped, expressed as the denominator of the map scale reflects the prominence of the fault's geomorphic expression
GeologicalMapExpression string extent of correlation between fault traces and legacy geological map whether faults have been previously mapped and/or follow geological contacts
Notes string Any additional or relevant information regarding the fault  
References string Relevant literature/geological maps where the fault is mentioned/described  

 

File Formats
Following the GEM-GAFD, this database is provided in a variety of GIS vector file formats. GeoJSON is the version of record, and any changes should be made in this version, before they are converted to other filed formats using the convert.sh shell script available in this repository. This script uses the GDAL tool ogr2ogr and is adapted from a script posted by Richard Styron (https://github.com/cossatot/central_am_carib_faults/blob/master/convert.sh), who we thank for making this publicly available. The other versions available are ESRI Shapefile, KML, GMT and Geopackage.

Note that in the ESRI Shapefile format, the length of the attribute are restricted in length by the format, so we advise against using this format.

Version Control
This version of the database is v1.0 and is associated with the release of the data for submission of the associated manuscript.

It is intended that this database is updated in future versions by both the authors and other users. As such we encourage edits of the [GeoJSON] file and the submission of pull requests on the associated github site. Please contact Luke Wedmore (<luke.wedmore@bristol.ac.uk>) for information or to report errors in the database.

References
Styron, Richard, and Marco Pagani. “The GEM Global Active Faults Database.” Earthquake Spectra, vol. 36, no. 1_suppl, Oct. 2020, pp. 160–180, doi:10.1177/8755293020944182.
 

 

Files

LukeWedmore/luangwa_rift_active_fault_database-v1.0.zip

Files (70.4 kB)

Additional details

Related works

Is supplement to
https://github.com/LukeWedmore/luangwa_rift_active_fault_database/tree/v1.0 (URL)

Funding

Innovative data services for aquaculture, seismic resilience and drought adaptation in East Africa EP/T015462/1
UK Research and Innovation
PREPARE: Enhancing PREParedness for East African Countries through Seismic Resilience Engineering EP/P028233/1
UK Research and Innovation