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.
Simple
- Date (Creation)
- 2022-10-28
- Citation identifier
- http://data.bgs.ac.uk/id/dataHolding/13607991
- Point of contact
-
Organisation name Individual name Electronic mail address Role University of Leeds
Andy Nowacki
not available
Originator British Geological Survey
Enquiries
not available
Distributor British Geological Survey
Enquiries
not available
Point of contact
- Maintenance and update frequency
- notApplicable
-
GEMET - INSPIRE themes, version 1.0
-
BGS Thesaurus of Geosciences
-
-
Induced seismicity
-
Earthquake magnitude
-
NGDC Deposited Data
-
Monte Carlo method
-
- dataCentre
- Keywords
-
-
NERC_DDC
-
- Access constraints
- Other restrictions
- Other constraints
- licenceOGL
- Use constraints
- 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]"
- Language
- English
- Topic category
-
- Geoscientific information
- Geographic identifier
-
New Ollerton [id=1371420]
British Geological Survey Gazetteer: OS gazetteer 2002 revision
- Begin date
- 2013-12-01
- End date
- 2014-01-31
- Unique resource identifier
- WGS 84 (EPSG::4326)
- Distribution format
-
Name Version NetCDF
- Distributor contact
-
Organisation name Individual name Electronic mail address Role British Geological Survey
Enquiries
not available
Distributor
- OnLine resource
-
Protocol Linkage Name https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item176632 Data
- OnLine resource
-
Protocol Linkage Name https://doi.org/10.5285/cc8f3dbe-8223-40f7-a618-3638db054a3e Digital Object Identifier (DOI)
- Hierarchy level
- Model
- Other
-
model
Conformance result
- Title
-
INSPIRE Implementing rules laying down technical arrangements for the interoperability and harmonisation of Geology
- Date (Publication)
- 2011
- Explanation
-
See the referenced specification
- Pass
- No
Conformance result
- Title
-
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
- 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
Metadata
- File identifier
- ec6ade01-2016-0ba2-e053-0937940a5172 XML
- Metadata language
- English
- Hierarchy level
- Model
- Hierarchy level name
-
model
- Date stamp
- 2024-10-12
- Metadata standard name
- UK GEMINI
- Metadata standard version
-
2.3
- Metadata author
-
Organisation name Individual name Electronic mail address Role British Geological Survey
Point of contact
- Dataset URI