Evaluation of 0 <_ M <_ earthquake data sets in African – Asian region during 1966–2015

Adagunodo, T. A. and Lüning, Sebastian and Adeleke, MA and Omidiora, Segun and Aizebeokhai, A. P. and Oyeyemi , Kehinde D. and Hammed, O.S. (2018) Evaluation of 0 <_ M <_ earthquake data sets in African – Asian region during 1966–2015. Data inBrief, 17. pp. 588-603.

PDF Download (1MB)

Abstract

Thisarticleevaluatestheoccurrenceof0 r M r 8 earthquakedata setsfortheperiodof50years(thatis,January1,1966toDecember 31,2015)inAfricanandWesternAsiaregion.Itisboundedby latitude40° S to40° N andlongitude30° W to60° E withthefocal depthof0–700km.Seventyseventhousand,sixhundredand ninety-sixdatapointswerepresentedfortheanalysis.Thedata usedwereextractedfromearthquakecatalogofAdvancedNational Seismicsystemvia http://quake.geo.berkeley.edu/cnss/, anofficial websiteoftheNorthernCaliforniaEarthquakeDataCentre,USA. Eachdatumcomprisedtheearthquakeoccurrencedate,timeofthe earthquakeoccurrence,epicenter’s coordinates,focaldepthand magnitude.TheGutenberg-Richter’s relationshipbeingthelongest observedempiricalrelationshipinseismology,analysisofvariance andtimeserieswereusedtoanalyzetheseismicityofthestudy area.Annualdistributionsofearthquakeoccurrencebasedon magnitudevariationswiththelimit0 r M r 8 werepresented. ThetwoconstantsaandbintheGutenberg-Richter’s equation, magnitudeofcompleteness(MC)adjustedR-Squareand F-valuefor theperiodof1966–1975,1976–1985,1986–1995,1996–2005,2006– 2015,andtheentireperiodofinvestigationrangingfrom1966to 2015weredeterminedsoastoinvestigatethevariationsofthese parametersonearthquakeoccurrenceovertime.Thehistogramsof earthquakeoccurrenceagainstmagnitudeofearthquakesforthe selectedyears(1966–1975,1976–1985,1986–1995,1996–2005, 2006–2015,and1966–2015),andthedecadalfrequencydistribu- tionsofearthquakeoccurrencewerealsoplotted.Thefocaldepth occurrenceforeachmagnitudebins(0–0.9,1–1.9,2–2.9,3–3.9,4– 4.9,5–5.9,6–6.9,7–7.9,8–8.9)weregroupedintoshallow,inter- mediate,anddeepdepthsrangingfrom0to70,71to300,and301 to700kmasbeingusedinseismology.Theneuralnetworkanalysis wasalsoappliedtothemagnitudeoftheearthquake.Thenetwork usesatimeseriesmagnitudedataasinputwiththeoutputbeing themagnitudeofthefollowingday.Ifthenatureoftheearthquakes timeseriesisstochastic,modelingandpredictionispossible.The earthquakedatasetspresentedinthisarticlecanfurtherbeadopted in thestudyofseismicitypattern, b-valueusingseriesofmodels, earthquakepredictionandvariationsofearthquakeparameterson Africanand/orArabianplates.Whenthisapproachisintegrated withothertechnique(s),itcanprovideinsightstostabilityof African lithospehricplatesespeciallythecoastalregionofAfrica.

Item Type:	Article
Uncontrolled Keywords:	African plates Arabian plates b-value Gutenberg-Richter’s model Artificial neural network Earthquake magnitudes Focal depth Seismic events Seismographs Time series Tectonic stress
Subjects:	Q Science > Q Science (General) Q Science > QC Physics
Divisions:	Faculty of Engineering, Science and Mathematics > School of Physics
Depositing User:	Mrs Hannah Akinwumi
Date Deposited:	23 Feb 2018 09:09
Last Modified:	23 Feb 2018 09:12
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/10248

Actions (login required)

View Item