Detailed structural analysis of digital outcrops: a learning example from the kermanshah-qulqula radiolarite basin, zagros belt, iran

Data de publicació

2021-12-10T12:45:11Z

2023-12-03T06:10:24Z

2021-12-03

2021-12-10T12:45:11Z

Resum

A digital outcrop example and associated structural analysis of highly deformed sedimentary strata from the Zagros Belt of Iran is presented. By providing this site in open-access, downloadable format, we aim to make this excellent outcrop exposure accessible to a wide range of geoscientists. Digital data extraction techniques are used to constrain structural interpretations and cross section orientation, as well as kinematic restorations of interpreted structures. Structural analysis protocols provided here are well-suited to learning outcomes associated with digital cross section construction, interpretation and restoration. Complex deformation at the study locality and associated uncertainties in horizon and fault mapping yield interpretation and structural restoration results that are likely non-unique. Interpretation uncertainties are discussed in the context of geoscience education, with specific reference to the need for considering and assessing data quality and underlying geological assumptions. Our workflow and results can be used to bridge the gap between field-based training at undergraduate level and the proficiency in 3D digital environments required of professional geoscientists. By using digital outcrops to achieve learning outcomes, knowledge of underlying geological processes and practical skills in digital data handling and treatment can be effectively communicated to future geoscientists within the virtual environment.

Tipus de document

Article


Versió acceptada

Llengua

Anglès

Matèries i paraules clau

Geologia estructural; Iran; Structural geology; Iran

Publicat per

Elsevier Ltd

Documents relacionats

Versió postprint del document publicat a: https://doi.org/10.1016/j.jsg.2021.104489

Journal of Structural Geology, 2021, vol. 154, num. 104489, p. 1-9

https://doi.org/10.1016/j.jsg.2021.104489

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Drets

cc-by-nc-nd (c) Elsevier Ltd, 2021

https://creativecommons.org/licenses/by-nc-nd/4.0/

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