Fault-based Probabilistic Seismic Hazard Assessment of the Makran Subduction Zone and the Chaman Transform Fault in Pakistan: Emphasis on the Effects of Source Characterization of Megathrust

2019-04-07
Seismic source characterization (SSC) for probabilistic seismic hazard assessment (PSHA) in regions characterized by subduction megathrusts involves a considerable degree of ambiguity due to the complex nature of subducting plates and large seismogenic depths. The lack of detailed geologic, seismic, and geodetic histories increase the uncertainties involved in constraining the parameters of the SSC model. The enigma is further enhanced in the regions where thin skinned accretionary prism faults associated with the subduction zone are actively involved in deformation. In this article, we propose a planar SSC model for seismically active eastern Makran subduction zone, its associated accretionary prism faults, and Chaman transform fault. Developed SSC model is combined with Next Generation Attenuation West2 (Bozorgnia et al., 2014) and BC Hydro (Abrahamson et al., 2016) ground motion models in the PSHA calculations. Sensitivity tests for various ambiguous parameters associated with the SSC model are performed and presented in the form of peak ground accelaration (PGA) maps with 475-year return period. Especially in gently dipping subduction zones such as Makran, the estimated ground motions and their spatial distribution are highly sensitive (changing up to 0.2g) to the selected depth extent and dip amount of the Megathrust interface which defines the maximum rupture width. For short return periods (475) years, gentler and deeper extending interface geometries resulted in lower PGA values towards the trench and higher towards inland along accretionary wedge due to their influence on the rupture dimensions and source-to-site distances. Moreover, alternative magnitude distribution models which influence the activity rates of controlling earthquake scenarios are tested for Makran subduction zone and truncated exponential model resulted in 10-20 percent higher PGA values than composite models for short return periods. According to our selected SSC model, the highest PGA values computed for the region are around 0.75g in the vicinity of Makran megathrust.
EGU General Assembly 2019, (7 - 12 April 2019)

Suggestions

Fault-based probabilistic seismic hazard assessment of the eastern Makran subduction and the Chaman transform fault, Pakistan: Emphasis on the source characterization of megathrust
Shah, Syed Tanvir; Özacar, Atilla Arda; Gülerce, Zeynep (Elsevier BV, 2021-01-01)
Seismic source characterization (SSC) for probabilistic seismic hazard assessment (PSHA) in regions characterized by subduction megathrust involves a considerable ambiguity. Lack of detailed geologic, seismic, and geodetic data increases the uncertainties. The enigma is enhanced in regions where thin-skinned accretionary prism faults are part of active deformation. In this study, a planar SSC model for seismically active eastern Makran subduction zone, its associated accretionary prism faults and Chaman tra...
Seismic hazard of Eastern Mediterranean region
Ertuğrul, Zehra (2010-12-01)
In the present study, probabilistic seismic hazard assessment was conducted for the Eastern Mediterranean region based on several new results: (1) a new comprehensive earthquake catalog, (2) seismic source models developed based on new geological, seismicity and geodetic data; and (3) new ground motion prediction equations (GMPEs). As the number of available regional ground motion records is not adequate to develop successful local GMPEs, the data in hand was employed for determining the most representative...
SEISMIC HAZARD ANALYSIS WITH RANDOMLY LOCATED SOURCES
Yücemen, Mehmet Semih (1994-03-01)
Demarcation of areal and linear seismic sources involves a certain degree of uncertainty and this should be reflected in the final seismic hazard results. The uncertainty associated with the description of the geographical coordinates of a source zone boundary is modeled by introducing the concept of 'random boundary', where the location of the boundary is assumed to exhibit a spatial bivariate Gaussian distribution. Here the mean vector denotes the best estimate of location and the variance reflects the ma...
Spatial sensitivity of seismic hazard results to background seismic activity models
Yilmaz, N.; Yücemen, Mehmet Semih (2011-08-04)
In the probabilistic seismic hazard analysis, the past earthquake records that can not be associated with any one of the specific faults are treated as background seismic activity. Contribution of background seismic activity to seismic hazard is generally calculated by using two different models, namely: background area source with uniform seismicity and spatially smoothed seismicity model. In this study, two case studies are carried out for a large (a country) and a small region (a province) in order to in...
Earthquake imprints on a lacustrine deltaic system: The Kurk Delta along the East Anatolian Fault (Turkey)
Hubert-Ferrari, Aurelia; El-Ouahabi, Meriam; Garcia-Moreno, David; Avşar, Ulaş; Altinok, Sevgi; Schmidt, Sabine; Fagel, Nathalie; Cagatay, M. Namik (2017-08-01)
Deltas contain sedimentary records that are not only indicative of water-level changes, but also particularly sensitive to earthquake shaking typically resulting in soft-sediment-deformation structures. The Kurk lacustrine delta lies at the south-western extremity of Lake Hazar in eastern Turkey and is adjacent to the seismogenic East Anatolian Fault, which has generated earthquakes of magnitude 7. This study re-evaluates water-level changes and earthquake shaking that have affected the Kurk Delta, combinin...
Citation Formats
S. T. Shah, A. A. Özacar, and Z. Gülerce, “Fault-based Probabilistic Seismic Hazard Assessment of the Makran Subduction Zone and the Chaman Transform Fault in Pakistan: Emphasis on the Effects of Source Characterization of Megathrust,” presented at the EGU General Assembly 2019, (7 - 12 April 2019), Vienna, Austria, 2019, Accessed: 00, 2021. [Online]. Available: https://meetingorganizer.copernicus.org/EGU2019/EGU2019-12465.pdf.