Probabilistic models of earthquake location and velocity structure beneath Preston New Road, 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 Preston New Road, Lancashire, 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.
Default
Identification info
- Metadata Language
- English (en)
- Dataset Reference Date ()
- 2022-10-28
- Maintenance and update frequency
- notApplicable
- GEMET - INSPIRE themes
- BGS Thesaurus of Geosciences
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- Monte Carlo method
- Induced seismicity
- Earthquake magnitude
- Keywords
-
- NERC_DDC
- Limitations on Public Access
- otherRestrictions
- Other constraints
- licenceOGL
- Use constraints
- otherRestrictions
- 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]"
- Topic category
-
- Geoscientific information
- Extent
-
Lancashire County [id=5156]
- Dataset Reference Date ()
- 2009
N
S
E
W
))
- Begin date
- 2018-10-01
- End date
- 2018-12-31
- Code
- WGS 84 (EPSG::4326)
Distribution Information
- Data format
-
-
NetCDF
()
-
NetCDF
()
- Resource Locator
- Data
- Resource Locator
- Digital Object Identifier (DOI)
- Resource Locator
- Data
- Resource Locator
- Digital Object Identifier (DOI)
- Quality Scope
- model
- Other
- model
Report
- Dataset Reference Date ()
- 2011
- Explanation
- See the referenced specification
- Degree
Report
- Dataset Reference Date ()
- 2010-12-08
- Explanation
- See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF
- Degree
- 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
- ec6ade01-2017-0ba2-e053-0937940a5172 XML
- Metadata Language
- English (en)
- Resource type
- model
- Hierarchy level name
- model
- Metadata Date
- 2023-12-01
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
British Geological Survey
Environmental Science Centre,Keyworth
,
NOTTINGHAM
,
NOTTINGHAMSHIRE
,
NG12 5GG
,
United Kingdom
+44 115 936 3100