Data

Data supporting the PhD thesis Spatial Analysis of Earthquake Clusters and Hazard To Support Queensland’s Rail Infrastructure

James Cook University
Rubenach, David
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25903/641s-8536&rft.title=Data supporting the PhD thesis Spatial Analysis of Earthquake Clusters and Hazard To Support Queensland’s Rail Infrastructure&rft.identifier=10.25903/641s-8536&rft.publisher=James Cook University&rft.description=The geographical information systems datasets and workspaces associated with the PhD thesis Spatial Analysis of Earthquake Clusters and Hazard To Support Queensland’s Rail Infrastructure. The data includes the Shapefiles and ArcGIS documents used in the analyses covered in the Thesis. The dataset was compiled and analysed to study earthquake clusters and their impacts in Queensland with a special focus on rail infrastructure. The methodology for the data compilation and analyses is detailed in the thesis. The dataset consists of a series of ArcGIS documents and associated database files for the majority of the maps/analyses presented in the thesis. The database tables structures match the primary source of that type of data in the project e.g. earthquake data is structured as per Geoscience Australia’s database and location data as per the Queensland place name gazetteer. These have been filled using the sources specified in the thesis. Locations which were digitised and the source they were digitised from has been indicated in the comments sections of the locations tables. The earthquake database contains a merging of fields from AUSTCAT.MW.V0.11 and Earthquakes@GA with some additional fields added for analyses. Where fields could not be merged the field has only been populated from the data source with that field. Fields have been merged where the type of data is 1:1 between the databases e.g. LON and LAT. FID and Shape fields were added during the data compilation and analysis. FID is unique for each entry in a table. Shape indicates the type of object e.g. Points for epicentres. AUSTCAT.MW.V0.11 T fields as per NSHA2018_2012_catalogue_readme.txt at master · GeoscienceAustralia_NSHA2018 downloaded on the 30/04/2018 from GITHUB. As this is no longer available from that source the details have been provided here with some additional details regarding the TYPE and PREFMW field. DATESTR: Date string of earthquake TYPE: Event type manually classified by Gary Gibson (e.g. local event, blast, coal blast, teleseismic) Note all events except for local and unsure have been removed. DEPENDENCE: Describes dependence of event as classified by Gary Gibson (e.g. mainshock, aftershock, foreshock) LON: Preferred event longitude LAT: Preferred event latitude DEP: Preferred event depth LOCSRC: Preferred location source PREFMW: Preferred observed MW PREFMWSRC: Preferred source of MW PREFMS: Preferred observed MS PREFMSSRC: Preferred source of MS PREFmb: Preferred observed mb PREFmbSRC: Preferred source of mb PREFML: Preferred observed ML PREFMLSRC: Preferred source of ML REVML: Revised ML using OBSML corrected using logic described above OTHERM: Other magnitude type not captured above OTHERMTYPE: Type of other magnitude (e.g., MD, MP) OTHERMSRC: Source of other magnitude type MX_ORIGML: Takes preferred magnitude type and preserves original ML (PREFML)if ML preferred type. Field also merges other magnitude types assumed to be equivalent to ML (e.g. MP, M?) MX_REVML: Same as MX_ORIGML, but applies ML corrections to original ML (PREFML) MX_ORIGMLSRC: Source of MX_ORIGML MS2MW: MS converted to MW using relations of Scordilis (2006) where applicable mb2MW: mb converted to MW using relations of Scordilis (2006) where applicable ML2MW: ML converted to MW using relations of Allen (2011) for Australian events (CWA, EA & MLFR) ML2MWG: ML converted to MW using relations of Grunthal etal (2009) for all events PREFMW1: Preferred MW defined using the following logic: Logic for finding preferred source for each magnitude type: - MW: GG-Cat, HRVD, NEIC, AUST, Allen (2006, 2007), QEDB, Other - MS: GG-Cat, ISC, PAS, AUST, QEDB, Other - mb: GG-Cat, ISC, AUST, NEIC, IDC, QEDB, Other - ML: GG-Cat (MEL for lat = 141 or lat = 149 [from 1993 SCA network]), AUST, ISC, GG-Cat (MEL other), QEDB, Other - Other M: GG-Cat, QEDB Preferred magnitude types as listed in order above (larger of mb/MS chosen) ** Assume those earthquakes with unknown magnitude types are equivalent to ML Note PREFMW was renamed PREFMW1 due to there being two of this field in the original dataset. The leftmost PREFMW field was later deleted due to having no unique data. PREFMWSRC: Source of preferred MW COMM: Any comments from GG-Cat or ISC associated with event - usually location Fields added and populated by database creator The comments field has notes regarding some specific earthquakes, earthquakes which are not in Geoscience Australia or the National Seismic Hazard Assessments databases used have been indicated by a comment here The “Best_magni” field has the most accurate magnitude number for the earthquake according to the source of that data Best_magni_r is the Best_magni field rounded to 1 decimal place. This was done as felt radii values are only available for 0.1 magnitude intervals. Felt_radiu is the felt radius in km of an earthquake of that magnitude as specified by Geoscience Australia on Earthquake@GA during 2019 Felt_rad_1 is Felt_radiu in metres Point X and Point Y are the epicentre coordinates in Geocentric Datum of Australia 1994 these were produced for input in the Fry analysis. Note the dataset crosses multiple UTM zones but was calculated using Zone 55. Source indicates where the data for that row came from. Count_colu was added to enable the significant earthquake felt radii overlap analysis all entries have the same value “1”. See Earthquakes@GA for definitions of data obtained from that source. The following fields were added to fault data during the data compilation and analysis Shape, Azimuth, Bearing and lengthThe geographical information systems datasets and workspaces associated with the PhD thesis Spatial Analysis of Earthquake Clusters and Hazard To Support Queensland’s Rail Infrastructure&rft.creator=Rubenach, David &rft.date=2022&rft.relation=https://doi.org/10.1080/08120099.2020.1821773&rft.coverage=139.23111364246,-29.350823374709 139.29703161121,-23.147689413653 139.18716832996,-16.517474970205 148.59146520496,-16.34887439663 155.88638707997,-16.306701441079 156.01822301747,-22.985962210397 156.15005895497,-29.350823374709 148.56949254871,-29.369973706922 139.23111364246,-29.350823374709&rft.coverage=&rft_rights=&rft_rights=CC BY-NC 4.0: Attribution-Noncommercial 4.0 International http://creativecommons.org/licenses/by-nc/4.0&rft_subject=earthquake cluster&rft_subject=felt radius&rft_subject=hazard&rft_subject=Queensland&rft_subject=paleo-rift&rft_subject=Fry analysis&rft_subject=historical earthquakes&rft_subject=Trove&rft_subject=newspapers&rft_subject=review&rft_subject=epicentre&rft_subject=magnitude&rft_subject=Seismology and Seismic Exploration&rft_subject=EARTH SCIENCES&rft_subject=GEOPHYSICS&rft_subject=Earthquake Engineering&rft_subject=ENGINEERING&rft_subject=CIVIL ENGINEERING&rft_subject=Tectonics&rft_subject=GEOLOGY&rft_subject=Rail Transportation and Freight Services&rft_subject=COMMERCE, MANAGEMENT, TOURISM AND SERVICES&rft_subject=TRANSPORTATION AND FREIGHT SERVICES&rft_subject=Australian History (excl. Aboriginal and Torres Strait Islander History)&rft_subject=HISTORY AND ARCHAEOLOGY&rft_subject=HISTORICAL STUDIES&rft_subject=Expanding Knowledge in the Earth Sciences&rft_subject=EXPANDING KNOWLEDGE&rft_subject=EXPANDING KNOWLEDGE&rft_subject=Expanding Knowledge in Commerce, Management, Tourism and Services&rft_subject=Residential Construction Design&rft_subject=CONSTRUCTION&rft_subject=CONSTRUCTION DESIGN&rft_subject=Rail Infrastructure and Networks&rft_subject=TRANSPORT&rft_subject=GROUND TRANSPORT&rft_subject=Road Infrastructure and Networks&rft_subject=Natural Hazards in Urban and Industrial Environments&rft_subject=ENVIRONMENT&rft_subject=NATURAL HAZARDS&rft_subject=Natural Hazards in Mountain and High Country Environments&rft_subject=Natural Hazards in Fresh, Ground and Surface Water Environments&rft_subject=Natural Hazards in Coastal and Estuarine Environments&rft_subject=Expanding Knowledge in History and Archaeology&rft.type=dataset&rft.language=English Access the data

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Brief description

The geographical information systems datasets and workspaces associated with the PhD thesis Spatial Analysis of Earthquake Clusters and Hazard To Support Queensland’s Rail Infrastructure

Full description

The geographical information systems datasets and workspaces associated with the PhD thesis Spatial Analysis of Earthquake Clusters and Hazard To Support Queensland’s Rail Infrastructure. The data includes the Shapefiles and ArcGIS documents used in the analyses covered in the Thesis. The dataset was compiled and analysed to study earthquake clusters and their impacts in Queensland with a special focus on rail infrastructure. The methodology for the data compilation and analyses is detailed in the thesis. The dataset consists of a series of ArcGIS documents and associated database files for the majority of the maps/analyses presented in the thesis. The database tables structures match the primary source of that type of data in the project e.g. earthquake data is structured as per Geoscience Australia’s database and location data as per the Queensland place name gazetteer. These have been filled using the sources specified in the thesis. Locations which were digitised and the source they were digitised from has been indicated in the comments sections of the locations tables.

The earthquake database contains a merging of fields from AUSTCAT.MW.V0.11 and Earthquakes@GA with some additional fields added for analyses. Where fields could not be merged the field has only been populated from the data source with that field. Fields have been merged where the type of data is 1:1 between the databases e.g. LON and LAT.

FID and Shape fields were added during the data compilation and analysis. FID is unique for each entry in a table. Shape indicates the type of object e.g. Points for epicentres.

AUSTCAT.MW.V0.11 T fields as per NSHA2018_2012_catalogue_readme.txt at master · GeoscienceAustralia_NSHA2018 downloaded on the 30/04/2018 from GITHUB. As this is no longer available from that source the details have been provided here with some additional details regarding the TYPE and PREFMW field.

DATESTR: Date string of earthquake

TYPE: Event type manually classified by Gary Gibson (e.g. local event, blast, coal blast, teleseismic) Note all events except for local and unsure have been removed.

DEPENDENCE: Describes dependence of event as classified by Gary Gibson (e.g. mainshock, aftershock, foreshock)

LON: Preferred event longitude

LAT: Preferred event latitude

DEP: Preferred event depth

LOCSRC: Preferred location source

PREFMW: Preferred observed MW

PREFMWSRC: Preferred source of MW

PREFMS: Preferred observed MS

PREFMSSRC: Preferred source of MS

PREFmb: Preferred observed mb

PREFmbSRC: Preferred source of mb

PREFML: Preferred observed ML

PREFMLSRC: Preferred source of ML

REVML: Revised ML using OBSML corrected using logic described above

OTHERM: Other magnitude type not captured above

OTHERMTYPE: Type of other magnitude (e.g., MD, MP)

OTHERMSRC: Source of other magnitude type

MX_ORIGML: Takes preferred magnitude type and preserves original ML (PREFML)if ML preferred type. Field also merges other magnitude types assumed to be equivalent to ML (e.g. MP, M?)

MX_REVML: Same as MX_ORIGML, but applies ML corrections to original ML (PREFML)

MX_ORIGMLSRC: Source of MX_ORIGML

MS2MW: MS converted to MW using relations of Scordilis (2006) where applicable

mb2MW: mb converted to MW using relations of Scordilis (2006) where applicable

ML2MW: ML converted to MW using relations of Allen (2011) for Australian events (CWA, EA & MLFR)

ML2MWG: ML converted to MW using relations of Grunthal etal (2009) for all events

PREFMW1: Preferred MW defined using the following logic:

Logic for finding preferred source for each magnitude type:

- MW: GG-Cat, HRVD, NEIC, AUST, Allen (2006, 2007), QEDB, Other

- MS: GG-Cat, ISC, PAS, AUST, QEDB, Other

- mb: GG-Cat, ISC, AUST, NEIC, IDC, QEDB, Other

- ML: GG-Cat (MEL for lat <= -36 & lon >= 141 or lat <= -29 & lon >= 149 [from 1993 SCA network]), AUST, ISC, GG-Cat (MEL other), QEDB, Other

- Other M: GG-Cat, QEDB

Preferred magnitude types as listed in order above (larger of mb/MS chosen)

** Assume those earthquakes with unknown magnitude types are equivalent to ML

Note PREFMW was renamed PREFMW1 due to there being two of this field in the original dataset. The leftmost PREFMW field was later deleted due to having no unique data.

PREFMWSRC: Source of preferred MW

COMM: Any comments from GG-Cat or ISC associated with event - usually location

Fields added and populated by database creator

The comments field has notes regarding some specific earthquakes, earthquakes which are not in Geoscience Australia or the National Seismic Hazard Assessments databases used have been indicated by a comment here

The “Best_magni” field has the most accurate magnitude number for the earthquake according to the source of that data

Best_magni_r is the Best_magni field rounded to 1 decimal place. This was done as felt radii values are only available for 0.1 magnitude intervals.

Felt_radiu is the felt radius in km of an earthquake of that magnitude as specified by Geoscience Australia on Earthquake@GA during 2019

Felt_rad_1 is Felt_radiu in metres

Point X and Point Y are the epicentre coordinates in Geocentric Datum of Australia 1994 these were produced for input in the Fry analysis. Note the dataset crosses multiple UTM zones but was calculated using Zone 55.

Source indicates where the data for that row came from.

Count_colu was added to enable the significant earthquake felt radii overlap analysis all entries have the same value “1”.

See Earthquakes@GA for definitions of data obtained from that source.

The following fields were added to fault data during the data compilation and analysis Shape, Azimuth, Bearing and length

Created: 2022-03-18

Data time period: 2018 to 27 04 2018

Data time period: 19th, 20th and 21st Century

139.23111364246,-29.350823374709 139.29703161121,-23.147689413653 139.18716832996,-16.517474970205 148.59146520496,-16.34887439663 155.88638707997,-16.306701441079 156.01822301747,-22.985962210397 156.15005895497,-29.350823374709 148.56949254871,-29.369973706922 139.23111364246,-29.350823374709

147.66861364247,-22.838337574

Identifiers
  • Local : https://test-jcu.redboxresearchdata.com.au/data/published/e65b60885d89e00c849d510bbc19d92e
  • DOI : 10.25903/641s-8536