- Open Access
Aftershock activity of the 2015 Gorkha, Nepal, earthquake determined using the Kathmandu strong motion seismographic array
© Ichiyanagi et al. 2016
- Received: 27 October 2015
- Accepted: 5 February 2016
- Published: 18 February 2016
The characteristics of aftershock activity of the 2015 Gorkha, Nepal, earthquake (Mw 7.8) were evaluated. The mainshock and aftershocks were recorded continuously by the international Kathmandu strong motion seismographic array operated by Hokkaido University and Tribhuvan University. Full waveform data without saturation for all events enabled us to clarify aftershock locations and decay characteristics. The aftershock distribution was determined using the estimated local velocity structure. The hypocenter distribution in the Kathmandu metropolitan region was well determined and indicated earthquakes located shallower than 12 km depth, suggesting that aftershocks occurred at depths shallower than the Himalayan main thrust fault. Although numerical investigation suggested less resolution for the depth component, the regional aftershock epicentral distribution of the entire focal region clearly indicated earthquakes concentrated in the eastern margin of the major slip region of the mainshock. The calculated modified Omori law’s p value of 1.35 suggests rapid aftershock decay and a possible high temperature structure in the aftershock region.
- 2015 Gorkha Nepal earthquake
- Aftershock activity
- Local seismographic array
On April 25, 2015, a large shallow earthquake (Mw 7.8) occurred in the Gorkha region of central Nepal. Strong seismic waves triggered a destructive disaster in this region, including the capital city, Kathmandu. Shallow-dipping focal mechanisms and a depth of 15 km from US Geological Survey National Earthquake Information Center (USGS-NEIC) suggest that this event may have occurred on the main thrust belt of the Indian and Eurasian collision system. Historical seismicity and recent geodetic surveys had clearly pointed out a seismic gap in the focal region, and a high earthquake risk had been recognized (Bilham et al. 1997; Bilham and Ambraseys 2005).
Hokkaido University of Japan and Tribhuvan University of Nepal have operated a strong motion seismographic array along an east–west line in the Kathmandu metropolitan area with four seismographs since 2011 (Takai et al. 2016). This array was designed to collect continuous waveform data in order to evaluate strong motion forecasting of the anticipated destructive earthquakes. Our observation system fully recorded the mainshock and aftershock sequence of this earthquake. In this study, we present the characteristics of the aftershock activity using original data from the local seismographic array.
Waveform data from April 25 to May 24, 2015 were analyzed. P- and S-wave arrival phases at each station were picked by an operator with homogeneous criteria using the WIN system (Urabe and Tsukada 1991). Our seismographic array continuously recorded the mainshock and aftershocks during this period without missing any data. Although the mainshock and several strong aftershocks generated large accelerations, the strong motion sensor with a wide dynamic range logger enabled us to record full waveforms without any saturation. These observational conditions allowed us to easily read the P- and S-phases of all the detected earthquake events. Integrated velocity waveform data were used. An event meeting the criterion of more than three simultaneous P-phases and one S-phase was determined as an earthquake. Magnitude calculation was carried out using the maximum amplitude and hypocenter distance (Watanabe 1971). A total of 4780 earthquakes were evaluated from April 25 to May 24, 2015 (Fig. 1b). Hereafter, we only used data from after May 5, 2015 for hypocenter estimation because there were fewer stations before then. The properties of aftershock number decay, however, were evaluated using all data after the mainshock occurrence.
In order to reduce the hypocenter error, the local P-wave one-dimensional velocity structure in the Kathmandu region was evaluated. A total of 237 earthquakes occurring near the seismographic array were selected for estimation. A trial-and-error iteration procedure with an a priori structure (Monsalve et al. 2006) using Crosson’s (1976) scheme was carried out. The convergence criterion for travel time residuals was set to 0.001 s. The values of the resolution matrix shown in Fig. 1c indicate that the estimated structure explains the observed travel times quite well. Our results are consistent with those of Monsalve et al. (2006), suggesting an approximately invariant velocity value for the upper crust. The velocity structure from Monsalve et al. (2006) was applied to depths greater than 24 km because of coarser resolution in our velocity estimation.
Hypocenters beneath the metropolitan Kathmandu region (Fig. 2) of less than 20 km distance from the seismographic array had errors less than 1 km and might indicate the characteristics of the aftershock geometry. The depths of the mainshock and main Himalayan thrust were estimated to be approximately 10 km beneath this region (Bollinger et al. 2014, Cattin and Avouac 2000). No clear hypocenter alignment along a shallow-dipping fault plane (which might suggest a mainshock rupture location) was identified. Most earthquakes occurred in the upper crust, at depths shallower than 10 km, corresponding to the overriding Himalayan sequence. Delta-coulomb failure function (CFF) changes due to the mainshock were calculated using the USGS finite fault model, an effective friction coefficient of 0.45, and Coulomb 3 software (http://earthquake.usgs.gov/earthquakes/eventpage/us20002926#scientific_finitefault, Toda et al. 2005, Lin and Stein 2004). Receiver fault parameters same as the mainshock focal mechanism of USGS earthquake hazard program (strike 295, dip 11, rake 108°) were assumed (http://earthquake.usgs.gov/earthquakes/eventpage/us20002926#scientific_moment-tensor:us_us_20002926_mwc). Estimated delta-CFF values for the receiver fault of the mainshock parameters at 5-km depth exceeded a triggering threshold of positive 0.01 MPa (Stein, 1999). This suggests possible aftershock triggering.
A lower detectable limit of earthquake events using our strong motion array was estimated to be at least M > 4 for the whole focal region of the mainshock from the magnitude–frequency diagram (Fig. 4c). If we take into account the error properties shown in Fig. 4a, we can claim that the major aftershocks were concentrated in the eastern part of the focal region, corresponding to the eastern edge of the relatively large coseismic slip region (e.g., Kobayashi et al. 2015, Yagi and Okuwaki 2015). Lower aftershock activity on the northwestern part of the focal region was also identified. The maximum coseismic slip there was estimated from several studies (Galetzka et al. 2015; Yagi and Okuwaki 2015; Fan and Shearer 2015; Wang and Fialko 2015). These data suggest that aftershocks occurred around the major slip region of the mainshock and were especially enhanced on the eastern edge. Similar spatial features between the major slip region and aftershock distribution have been pointed out in many previous studies (e.g., Hartzell and Heaton 1986; Beroza and Spudich 1988).
The aftershock epicenter distribution using all 1547 detected earthquakes for the period May 5–24, 2015 is shown in Fig. 4b. Although a possible inhomogeneous detectability was expected, high-activity regions in the eastern part and 30 km NNE of the array are clearly seen. The coseismic slip and stress drop distribution estimated using multi-sensor data points to a gap in this region (Galetzka et al. 2015). Geodetic SAR fringe data (Wang and Fialko 2015) may also show leftover slip. In addition, low-frequency back-projection images of the mainshock rupture (Fan and Shearer 2015) suggest a gap. The NNE active aftershock portion may reflect heterogeneous rupture of the mainshock.
Although the aftershock hypocenter estimation was done using only data after May 5, 2015, the original four stations of the array had continuously recorded all the aftershock seismicity since the mainshock. The aftershock decay of the 4780 events is shown in Fig. 1b. A rapid decay of aftershock occurrence was identified, i.e., from approximately 700 earthquakes on the day of the mainshock to 350 earthquakes 2 days afterwards. The estimated p value of the modified Omori law according to the XETAS analysis software (Ogata 2006; Tsuruoka and Ogata 2015) was 1.35, which also suggests rapid aftershock decay. A thermal structure study suggested possible high temperatures in the overriding Himalayan–Tibetan plateau (Herman et al. 2010). A hotter geological structure might result in rapid stress relaxation and faster aftershock decay (Mogi 1967; Kisslinger and Jones 1991).
The strong motion seismographic array in Kathmandu, the capital of Nepal, fully recorded the mainshock and aftershock sequence of the 2015 Gorkha, Nepal, earthquake. Hypocenter estimation and location error evaluation clarified the characteristics of aftershock activity. High-precision hypocenters beneath the array suggest that aftershocks occurred only in the overriding block of the main thrust fault. The aftershock epicentral distribution of the whole focal region clearly shows that major earthquakes were concentrated on the eastern edge of the major slip region of the mainshock. An active aftershock portion might correspond to a gap in the mainshock rupture. Rapid decay of aftershock occurrence was identified using continuous waveform data since the mainshock occurrence time.
We thank two anonymous referees and editors for their careful reading and constructive suggestions. Prof. H. Miyamachi of Kagoshima University kindly allowed us to use his nonlinear hypocenter estimation program and discussed the results with the authors. Figures were drawn using Seis-PC (Ishikawa and Nakamura 1997) and Generic Mapping Tools (Wessel et al. 2013). Part of this study was supported by the Grant-in-Aid for Scientific Research KAKENHI 23404005, 15H01134, 15H05793, 25257204 from MEXT of Japan, JST of Japan’s J-RAPID Program, Heiwa Nakajima Foundation, Obayashi Foundation, and MEXT of Japan’s Earthquake and Volcano Hazards Observation and Research Program.
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