Publikationsdatum:
2021-07-14
Beschreibung:
In their comment, Yamomoto and co-authors are primarily concerned with the existence and effect of large values of minimum and maximum phase residuals in our analysis and locations using the 2014 observations, as listed in Tables S7 and S8 in the supplementary material of our paper (Batsi et al, 2018). We retain these large residuals in the tables and analysis since they have vanishingly small effect on the NonLinLoc locations, since the used, equal differential time (EDT) location algorithm (Lomax, 2008; Lomax et al., 2009) is highly robust to outlier readings. In the case of our Marmara study, phases with residuals larger than 1-2sec have near zero weight in the locations and corrected phase data. However, we agree the larger residuals may have had adverse effect on the generation of station corrections, though this, in turn, would also be mitigated by the robust location procedure. As a result, we consider that the location discrepancies between Yamomoto et al (2017) and Batsi et al. (2018) are not due to effects of excessively large residuals on the station corrections or locations. Instead, we propose that, as in many seismicity studies, error and uncertainty in the absolute hypocenter locations is primarily related to error in the velocity model and insufficient geometrical coverage of the source zones by the available seismic stations.
To support this proposition, and following the recommendation of Yamamoto et al., we recalculate station corrections for our 2014 data set and then relocate the 14 common events (Table A) that were located by both Yamamoto et al. (2017) and ourselves (see Table 9 in Batsi et al., 2018, with correct Yamomoto’s location for event 3: 40.8058N, 27.9504E, 13.411km). We first generate station corrections as described in Batsi et al. (2018) using all events from 2014 which comply with the Batsi et al. (2018) location criteria (number of stations ≥ 5; number of phases ≥ 6; (3) root mean square (rms) location error ≤ 0.5s; azimuthal gap ≤ 180°), except that we explicitly exclude from the analysis any P or S residuals 〉 3.0s when generating station corrections (Table B). We then relocate in the high‐resolution, 3D, P‐velocity model, as described in Batsi et al. (2018), the 14 common events using these station corrections. Figure 1 shows, for the 14 common events listed I Table A, the absolute NonLinLoc maximum likelihood and expectation hypocenters, and location probability density (pdf) clouds for our absolute relocations, along with the corresponding Yamamoto et al. (2017) double-difference relocations and Batsi et (2018) relative (NonDiffLoc) locations.
For sake of clarity, calculation results are detailed in Figure 2 for each individual event (1 to 14). The full information on the earthquake location spatial uncertainty is shown by the pdf clouds, while the maximum-likelihood hypocenter is the best solution point and the expectation hypocenter shows a weighted mean or “center of mass” of the cloud. The pdf clouds show a large uncertainty in hypocenter depth, the formal standard error in depth ranges from 2-9km. There is also a large separation between the maximum likelihood and expectation hypocenters for some events. These results underline the large uncertainty in depth determination and corresponding instability in any one-point measure chosen as a hypocenter. However, despite these uncertainties and instabilities, the Yamamoto et al. (2017) hypocenters remain generally deeper than the maximum likelihood and expectation hypocenters for our relocations, positioned towards the deeper uncertainty limits of our locations (e.g. the lower portion of the pdf clouds), and the Yamamoto et al. (2017) epicenters fall near the Main Marmara fault (MMF) while our relocated epicenters define off axis seismicity, along secondary faults from the MMF system. Thus our relocated events, which explicitly exclude excessively large residuals, still show differences with the Yamamoto et al. (2017) events, but not as large as those we found in our original study. Based on our recalculated NonLinLoc absolute locations, we suspect that Yamamoto et al (2017) results are systematically too deep and Batsi et al (2018) systematically too shallow, compared to what should be expected.
These differences in epicenter and depth, along with the size and shape of the pdf clouds for our relocations, are most easily explained by differences in the 3D velocity models and by differences in available stations and the consequent network geometry . However, while the epicentral distances at most of the OBS stations are shorter than the focal depths, as noted by Yamomoto et al., the elongation of our pdf clouds in depth suggests that an increase in network aperture with more distant stations, along with an accurate 3D model, is required to better constrain depth.
High-resolution earthquake epicenter and depth determinations below the Sea of Marmara is a difficult problem, yet of critical importance. To better understand why the two studies produce different results, and to obtain the best possible locations, the best action is to increase the number of constraints by merging the two OBS datasets, and examine, step by step, the effects of locations methods, network geometry and 3D velocity models from the two studies. Sharing the data (or phase picks and model) would provide an unique opportunity to give real, direct insight into these issues. We suspect that epicenters will shift as a function of used velocity model and station set, and that in all cases depth uncertainty is large, as is clearly represented in the NonLinLoc location, pdf clouds, while linearized location error estimates usually show lower uncertainty.
Beschreibung:
Published
Beschreibung:
383–386
Beschreibung:
3T. Sorgente sismica
Beschreibung:
JCR Journal
Repository-Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Materialart:
article
Permalink
