Automated Mineralogy As a Tool for Geolocation Based on Soil Trace
ORE Open Research Exeter TITLE Automated mineralogical profiling of soils as an indicator of local bedrock lithology: a tool for predictive forensic geolocation AUTHORS Pirrie, D; Crean, DE; Pidduck, AJ; et al. JOURNAL Geological Society, London, Special Publications DEPOSITED IN ORE 11 December 2019 This version available at http://hdl.handle.net/10871/40081 COPYRIGHT AND REUSE Open Research Exeter makes this work available in accordance with publisher policies. A NOTE ON VERSIONS The version presented here may differ from the published version. If citing, you are advised to consult the published version for pagination, volume/issue and date of publication OFFICIAL 1 Automated mineralogical profiling of soils as an indicator of local 2 bedrock lithology: a tool for predictive forensic geolocation 3 4 Duncan Pirriea,d, Daniel E. Creanb, Allan J. Pidduckb, Timothy M. Nichollsb, 5 Roy P. Awberyb, Robin K. Shailc 6 7 8 aHelford Geoscience LLP, Trelowarren Mill Barn, Mawgan, Helston, Cornwall, 9 TR12 6AE, UK 10 11 bAWE Plc, Aldermaston, Reading, RG7 4PR, UK 12 13 cCamborne School of Mines, University of Exeter, Penryn Campus, Penryn, 14 Cornwall, TR10 9FE, UK 15 16 dSchool of Applied Sciences, Faculty of Computing, Engineering and 17 Sciences, University of South Wales, Glyntaf, Pontypridd, Rhondda Cynon 18 Taff, CF37 4AT, UK 19 20 ABSTRACT 21 22 The use of soil evidence to identify an unknown location is a powerful tool to 23 determine the provenance of an item in an investigation. We are particularly 24 interested in the use of these indicators in nuclear forensic cases, whereby 25 identification of locations associated with for example, a smuggled nuclear 26 material, may be used to indicate the provenance of a find.
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