摘要
Thefireworkalgorithm(FWA)isanovelswarmintelligence-basedmethodrecentlyproposedfortheoptimizationofmulti-parameter,nonlinearfunctions.NumericalwaveforminversionexperimentsusingasyntheticmodelshowthattheFWAperformswellinbothsolutionqualityandefficiency.WeapplytheFWAinthisstudytocrustalvelocitystructureinversionusingregionalseismicwaveformdataofcentralGansuonthenortheasternmarginoftheQinghai-Tibetplateau.Seismogramsrecordedfromthemomentmagnitude(MW)5.4Minxianearthquakeenableobtaininganaveragecrustalvelocitymodelforthisregion.WeinitiallycarriedoutaseriesofFWArobustnesstestsinregionalwaveforminversionatthesameearthquakeandstationpositionsacrossthestudyregion,invertingtwovelocitystructuremodels,withandwithoutalow-velocitycrustallayer;theaccuracyofouraverageinversionresultsandtheirstandarddeviationsrevealtheadvantagesoftheFWAfortheinversionofregionalseismicwaveforms.WeappliedtheFWAacrossourstudyareausingthreecomponentwaveformdatarecordedbyninebroadbandpermanentseismicstationswithepicentraldistancesrangingbetween146and437km.Theseinversionresultsshowthattheaveragethicknessofthecrustinthisregionis46.75km,whilethicknessesofthesedimentarylayer,andtheupper,middle,andlowercrustare3.15,15.69,13.08,and14.83km,respectively.ResultsalsoshowthattheP-wavevelocitiesoftheselayersandtheuppermantleare4.47,6.07,6.12,6.87,and8.18km/s,respectively.
出版日期
2017年02月12日（中国期刊网平台首次上网日期，不代表论文的发表时间）
