EVALUATING FOCAL MECHANISM OF SEPTEMBER 24, 2013 AWARAN EARTHQUAKE WITH GEOSPATIAL TECHNIQUES

Israr Ahmad () and Rana Waqar Aslam
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Israr Ahmad: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China.
Rana Waqar Aslam: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China.

International Journal of Innovations in Science & Technology, 2020, vol. 2, issue 3, 108-124

Abstract: Seismic records from IRIS (NIL, KBL, MSEY, KMI, QIZ, DGAR) were used to compute AWARAN September 24 2013 Earthquake's focal mechanism. Earthquakes are one of the most drastic threats that are likely to cause heavy human casualties and can destroy entire cities within minutes. We processed the waveform data from 6 separate stations for the computation of displacement. The issues related to attenuation have been overcome by the use of low frequencies (0.05-0.1). The crustacean model that determines the tensor PREM model's time is determined by minimizing the variance but produces a robust focal mechanism. Inverting the displacement data is applied to recover the moment tensor from the source, calculated the green feature with the reversal. GIS-based vectors of fault lines were abstracted by the digitization of regional tectonic lineaments and structural maps. We developed synthetic and observed surface shapes with a 100 percent dc correlation. Our understanding of the features of crustacean deformation and regional tectonics in the area will benefit from the resulting focus mechanisms. The measured earthquake focal mechanism is similar to a USGS agency hit, dip, and rake.

Keywords: Awaran earthquake; Focal Mechanism; PREM Model; Green Function; GIS. (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:abq:ijist1:v:2:y:2020:i:3:p:108-124

DOI: 10.33411/IJIST/2019010102

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