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Statistical investigation of induced seismicity associated with the impoundment of the Xiangjiaba Reservoir, Southwestern China

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A Correction to this article was published on 01 April 2024

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Abstract

The Xiangjiaba (XJB) hydropower station is the most downstream dam among the cascade hydropower projects in the lower reach of the Jinsha River. Reservoir-induced seismicity (RIS) has been detected in the XJB region since the initiation of the reservoir impoundment in October 2012. This study investigates the correlations between the spatiotemporal evolution of seismicity and the impoundment process using regional permanent network data in the XJB area. Various statistical parameters, including seismic b-values, are estimated to identify the typical stages of earthquake occurrence from January 2009 to May 2022, showing a temporal correlation with reservoir water levels. The epidemic-type aftershock sequence (ETAS) model reveals that the proportion of the seismicity conforming to Omori’s law is higher than that before impoundment, indicating a tectonic influence on RIS. Notably, major seismic clusters recognized via the double-difference location method demonstrate a spatiotemporal migration corresponding to the impoundment. Focal solutions for \(M3.0\) earthquakes are obtained utilizing the full moment tensor inversion, presenting a dominantly strike-slip mechanism inconsistent with surrounding faults. The distribution of their relocated aftershocks implies an unmapped 5-km-long fault with striking S30\(^{\circ }\)E-S10\(^{\circ }\)E and dipping \(\sim 80^{\circ }\) to the west. Considering geological context, we propose that shallow karst structures probably facilitate hydraulic channel development and effective stress reduction for the inferred fault, thereby inducing earthquakes due to fault dislocation. This study strengthens the understanding of RIS occurrence with artificial impoundment process and signifies that seismicity in the tail area of the XJB reservoir still warrants attention.

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Data availability

The datasets in Fig. 1 incorporate block boundary data from Zhang et al. (2005a), GPS data from Wang and Shen (2020) with a 70% confidence error ellipse in the legend, focal mechanisms of \(M > 3\) earthquakes from Guo et al. (2022b) and gas reservoir outlines modified from Lei et al. (2020). The Red lines in Fig. 1 show the azimuth of the maximum horizontal stress (https://www.world-stress-map.org/). The water level data in Fig. 2 are modified from Yang et al. (2019b). The 1:50000 geological data in Fig. 8 are sourced from https://www.ngac.cn/. The precise relocation catalog and waveform data of the three M3 earthquakes will be made available on request from the first author.

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Acknowledgements

We would like to thank Dr. Xinglin Lei for his provision and kind guidance in the use of GeoTaos_map software (http://bemlar.ism.ac.jp/lxl/), which was utilized to conduct ETAS modeling, HypoDD relocation and moment tensor inversion of this study. The earthquake catalog and phase datasets are sourced from the China Earthquake Data Center (https://data.earthquake.cn/). Waveform data of regional permanent stations for moment tensor inversion in this study are provided by the Earthquake Administration of Sichuan Province. The maps and plots were created using the Generic Mapping Tools (Wessel et al. 2013) and GeoTaos_map and finished with the software CorelDRAW 2021.

Funding

The study was supported by Natural Science Foundation of Sichuan Province of China (NSFSC) grants No.42007272, No.2023NSFSC0384, No.U19A2098, No.2019QZKK0905.

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Correspondence to Fei Chen.

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The original online version of this article was revised: Originally, the article was published with error in Funding. A funding source numbered 2023NSFSC0384 was misstated. It should be corrected as Natural Science Foundation of Sichuan Province of China (NSFSC) instead of National Natural Science Foundation of China (NSFC).

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Fu, Z., Chen, F., Deng, J. et al. Statistical investigation of induced seismicity associated with the impoundment of the Xiangjiaba Reservoir, Southwestern China. Bull Eng Geol Environ 83, 106 (2024). https://doi.org/10.1007/s10064-024-03562-8

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