Tien Shan Active Fault Database                               

Tien Shan Active Fault Database is a multi-functional digital collection of active faults which integrates decades of mapping and field studies in Central Asia by researchers from the UK Centre for Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET) alongside global collaborators.

Attribution: Users should cite either the accompanying journal article (DOI), or Zenodo database (DOI). Global Active Faults data: (Richard Styron. (2019, August 23). GEMScienceTools/gem-global-active-faults: First release of 2019 (Version 2019.0). Zenodo. http://doi.org/10.5281/zenodo.3376300. Web application designed by C. Scott Watson.

The database compiles active fault traces and metadata at three different scales to serve a variety of purposes that fault databases are conventionally used for: the finest scale for site-specific study reference, an intermediate scale for regional kinematics and seismotectonics, and a coarse scale from which structures may be extracted for geodetic modelling and seismic source models:

If you’d like to be involved in this work, or be informed of future updates, please contact .

Publication

King, T., Elliott, A., Grützner, C., Styron, R., and Walker, R. (2024). The Tien Shan Active Fault Database: a multi-tiered multi-purpose active fault database Scientific Data [IN REVIEW].

Database

Download the database from Zenodo

Contact:

Through ongoing and future projects, COMET researchers will continue to improve the accuracy of mapped faults and map previously unidentified faults. These will be incorporated into the database on an ad-hoc basis. If any users wish to suggest edits / additions / deletions to the database, please email and it will reach the current database manager.

Acknowledgements:

We acknowledge the many students and colleagues that helped during our individual field campaigns. The fault mapping in the field would not have been possible without the support of Kanatbek Abdrakhmatov (Institute of Seismology, Bishkek), Aidyn Mukambayev (KNDC, Almaty), and their colleagues. Grants that contributed to the work presented in this paper include: Earthquakes without Frontiers project, funded by NERC and ESRC (grant code: EwF_NE/J02001X/1_1); Looking inside the Continents from Space (LiCS) (NE/K011006/1); Leverhulme Trust Research Project Grants “EROICA” (RPG-2018-371); and multiple students funded by the NERC studentship in the Oxford Environmental Research Doctoral Training Partnership. Many of the high-resolution photogrammetric datasets from which Level 1 mapping was produced have been made available on OpenTopography (https://portal.opentopography.org/datasets?search=COMET).

COMET School of Earth and Environment The University of Leeds Leeds LS2 9JT UK E:

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