Probabilistic models of earthquake location and velocity structure beneath New Ollerton, UK

The models are probabilistic inferences of earth structure and earthquake location based around travel times of P and S waves recorded at seismic stations above New Ollerton, Nottinghamshire, UK. For each point in the subsurface, we present many different values of the P- and S-wave velocity which are compatible with the data. Likewise, we present many event locations for each earthquake included in the dataset. These different models represent the posterior probability distribution respectively for the subsurface velocity and earthquake locations.

Date (Creation): 2022-10-28

Identifier: http://data.bgs.ac.uk/id/dataHolding/13607991

Originator

University of Leeds - Andy Nowacki

Distributor

British Geological Survey - Enquiries

Point of contact

British Geological Survey - Enquiries

Maintenance and update frequency: notApplicable notApplicable

GEMET - INSPIRE themes, version 1.0

Geology

BGS Thesaurus of Geosciences

Induced seismicity
Earthquake magnitude
NGDC Deposited Data
Monte Carlo method

dataCentre

NGDC Deposited Data

Keywords

NERC_DDC

Access constraints: otherRestrictions Other restrictions

Other constraints: licenceOGL

Other constraints: Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"

Use constraints: otherRestrictions Other restrictions

Other constraints: The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.

Other constraints: Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"

Metadata language: EnglishEnglish

Topic category

Geoscientific information

Geographic identifier

New Ollerton [id=1371420]

Date (Revision): 2002

Begin date: 2013-12-01

End date: 2014-01-31

Unique resource identifier: WGS 84 (EPSG::4326)

Distribution format

NetCDF ()

Distributor

British Geological Survey - Enquiries

OnLine resource: Data

OnLine resource: Digital Object Identifier (DOI)

Hierarchy level: model Model

Other: model

Conformance result

Date (Publication): 2011

Explanation: See the referenced specification

Pass: No

Conformance result

Date (Publication): 2010-12-08

Explanation: See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF

Pass: No

Statement: The suite of models are created by sampling the posterior probability distribution using a Markov chain Monte Carlo approach. The methods are described in the open-access paper below: Roy, C., Nowacki, A., Zhang, X., Curtis, A., Baptie, B., 2021. Accounting for natural uncertainty within monitoring systems for induced seismicity based on earthquake magnitudes. Front. Earth Sci. 9, 634688. https://doi.org/10.3389/feart.2021.634688