Probabilistic models of earthquake location and velocity structure beneath New Ollerton, UK
| Dataset title | Probabilistic models of earthquake location and velocity structure beneath New Ollerton, UK |
|---|---|
| Dataset creators | Andy Nowacki, University of Leeds Corinna Roy, University of Leeds Xin Zhang, University of Edinburgh Andrew Curtis, University of Edinburgh Brian Baptie, British Geological Survey |
| Dataset theme | Geoscientific Information |
| Dataset abstract | 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 Thoresby Colliery, 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. |
| Dataset content dates | 01-DEC-13 to 31-JAN-14 |
| Dataset spatial coverage | New Ollerton, Nottinghamshire, UK Longitude extent: -1.1° to -0.95° |
| Dataset supply format | NetCDF |
| Dataset language | English-United Kingdom |
| Dataset discovery metadata record | Discovery Link to the dataset's BGS Discovery Metadata record |
| Dataset publisher | NERC EDS National Geoscience Data Centre |
| Dataset publication date | 01/11/2022 |
| Dataset digital object identifier (DOI) | 10.5285/cc8f3dbe-8223-40f7-a618-3638db054a3e |
| Dataset citation text | Nowacki, A., Roy, C., Zhang, X., Curtis, A., Baptie, B. (2022). Probabilistic models of earthquake location and velocity structure beneath New Ollerton, UK. NERC EDS National Geoscience Data Centre. (Model). https://doi.org/10.5285/cc8f3dbe-8223-40f7-a618-3638db054a3e |
| Constraints and terms of use | This data set is available under Open Government Licence, subject to the following acknowledgement accompanying any reproduced materials: "Contains data supplied by permission of the Natural Environment Research Council [YEAR]". |
| Access the dataset | https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item176632 |
| Further information | 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 Models were created using MCTomo (https://github.com/xin2zhang/MCTomo): Zhang, X., Roy, C., Curtis, A., Nowacki, A., Baptie, B., 2020. Imaging the subsurface using induced seismicity and ambient noise: 3D Tomographic Monte Carlo joint inversion of earthquake body wave travel times and surface wave dispersion. Geophysical Journal International 222, 1639–1655. https://doi.org/10.1093/gji/ggaa230 |