International Seismological CentreOnline Event Bibliography
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Search publication for ISC event 607304721
ISC Event Agency Origin time Lat Lon Depth Magnitude Article_total Event code 607304721 ISC 2013-04-20 00:02:47 30.27 103.02 18.0 Mw(GCMT) = 6.6 368 LUSHAN2013
Wan, C. and Heron, P., 2026. Identifying mainshock-aftershock sequences on the Longmen Shan Fault: comparison between two cluster analysis techniques, Geophys. J. Int., 245, 2, ggag081, DOI: 10.1093/gji/ggag081
Han, G., Wang, D. and Sun, L., 2026. Estimating Moment Magnitudes of Moderate-to-Large Earthquakes in Western China Based on the Direct P Waves, Bull. seism. Soc. Am., 116, 1, 291-307, DOI: 10.1785/0120250079
Zhang, C., Jia, K., Wang, H. and Hao, M., 2026. Is there accelerated crustal deformation before large earthquakes? A case study of strong intra-plate earthquakes in China, Earthq. Science, 39, 1, 51-64, DOI: 10.1016/j.eqs.2025.11.004
Chen, D., Lan, S., Gu, H. and Wang, L., 2026. Quantitative estimation of earthquake effects on aquifer structure and vulnerability, Tectonophysics, 919, 230987, DOI: 10.1016/j.tecto.2025.230987
Li, Z., Ji, Z., Miyake, H., Sun, J., Gao, M., Ding, Y. and Luo, Q., 2026. Broadband ground motion simulation of the 2013 Lushan earthquake considering source uncertainties and small earthquake diversity, Natural Hazards, 122, 13, DOI: 10.1007/s11069-025-07846-4
Djukem, D.L.W., Fan, X. and Havenith, H.-B., 2025. Effective prediction of earthquake-induced slope displacements, considering region-specific seismotectonic and climatic conditions, Natural Hazards, 121, 9, 10517-10552, DOI: 10.1007/s11069-025-07200-8
Sun, B., Wang, P., Hu, S., Wang, J., Zheng, Y., Wu, S. and Huang, C., 2025. Assessing the influence of the spatial resolution of DEMs on coseismic landslide analysis via the spectral element and Newmark methods, Landslides, 22, 8, 2729-2747, DOI: 10.1007/s10346-025-02501-2
Yang, S., Qin, Y., Xu, W., Yu, D., Xu, C., Yang, W. and Zhao, S., 2025. A method for instrumental seismic intensity assessment in Western China based on RF and MLP, Sci. Rep., 15, 37096, DOI: 10.1038/s41598-025-21002-9
Fu, L. and Wang, T., 2025. The complementary distribution of coseismic and slow-moving landslides along the transition between the Qinghai-Xizang plateau and Sichuan basin, Geodesy and Geodynamics, 16, 6, 635-643, DOI: 10.1016/j.geog.2025.04.003
Liu, G., Liu, A., Su, Q., Fan, L., Song, Guo, A. and Li, Y., 2025. Surface creep differences and affecting factor along the Xianshuihe Fault Zone in response to the Wenchuan and Lushan earthquakes, Natural Hazards Research, 5, 2, 391-398, DOI: 10.1016/j.nhres.2024.12.008
Jiao, Q., Liu, Q., Lin, C., Jing, F., Li, J., Tian, Y., Zhang, Z. and Shen, X., 2025. Spatiotemporal Analysis of Atmospheric Chemical Potential Anomalies Associated with Major Seismic Events (Ms ≥ 7) in Western China: A Multi-Case Study, Remote Sensing, 17, 2, 311, DOI: 10.3390/rs17020311
Zhao, Y., Guo, R., Zhu, Y., Li, L., Yang, X., Liu, F., Wei, S., Zhuang, W. and Sun, H., 2025. Gravity Changes and Characteristics of Its Positive Change Area Before the 2013 Lushan Ms 7.0 Earthquake in Sichuan Province, China, Seismol. Res. Lett., 96, 4, 2141-2151, DOI: 10.1785/0220240310
Zhang, L., Zhang, J.-G., Shen, X.-Y., Lian, H. and Duan, J.-C., 2025. Characteristics of geomagnetic anomalous evolution before and after two major earthquakes: a Taylor polynomial model analysis, Appl. Geophys., 22, 4, 1233-1242, DOI: 10.1007/s11770-025-1321-x
Sun, H.-G., Wang, X.-C. and Chang, L.-J., 2024. S-wave velocity and radial anisotropy structure in Southeastern Tibetan Plateau and the deep seismogenic environment of Luding Ms 6.8 earthquake and Lushan MS 7.0 earthquake, Chinese J. Geophys., 67, 1, 108-127, DOI: 10.6038/cjg2023Q0810
Chen, Z., Dang, P., Liu, Q., Guo, Y. and Cui, J., 2024. Modified stochastic finite-fault modelling based on the rupture process: a case study of the 2013 Mw 6.7 Lushan earthquake in China, Stochastic Environ. Res. Risk Assess., 38, 11, 4347-4368, DOI: 10.1007/s00477-024-02807-y
Ma, W., Xie, Z., Fu, L., Shan, Z., Lu, J., Tang, L. and Zhang, X., 2024. Improvements to EXSIM in Ground Motion Simulation for Earthquakes Explained by Double‐Corner‐Frequency Source Model, Earth and Space Science, 11, 10, e2024EA003797, DOI: 10.1029/2024EA003797
Xu, L.-S., Wang, C.-Z., Zhang, Z., Fang, L.-H., Yi, L., Zhang, X., Guo, X.-Y. and Li, C.-L., 2024. Integrated seismotectonic model of the 2013 Mw 6.6 and 2022 Mw 5.8 earthquake sequences in the southwestern section of the Longmenshan Fault Zone, China, and its implication, Geophys. J. Int., 239, 1, 419-433, DOI: 10.1093/gji/ggae274
Zhang, A., Wang, X., Pedrycz, W., Yang, Q., Wang, X. and Guo, H., 2024. Near real-time spatial prediction of earthquake-triggered landslides based on global inventories from 2008 to 2022, Soil Dyn. Earthquake Eng., 185, 108890, DOI: 10.1016/j.soildyn.2024.108890
Li, C., Duan, Y., Han, Y., Yu, Z., Chi, C. and Zhang, D., 2024. Extraction of pre-earthquake anomalies from borehole strain data using Graph WaveNet: a case study of the 2013 Lushan earthquake in China, Solid Earth, 15, 7, 877-893, DOI: 10.5194/se-15-877-2024
Liu, Y., Zhuang, J., Guo, Y., Jiang, C., Tian, Q., Zhang, Y. and Long, F., 2024. Background and Clustering Characteristics of Recent Seismicity in Southwestern China, Geophys. J. Int., 238, 3, 1291-1313, DOI: 10.1093/gji/ggae211
Jin, Z.-T., Wan, Y.-G., Wang, F.-C., Li, X., Feng, G. and Xu, Y.-C., 2024. Research on the fault geometry and slip characteristics of Lushan earthquake sequence in 2013 and 2022, Chinese J. Geophys., 67, 6, 2202-2219, DOI: 10.6038/cjg2023Q0882
Xiao, S., Xiao, T., Jiang, R., Wang, H., Ju, L. and Zhang, L., 2024. Two-phase strategy for rapid and unbiased assessment of earthquake-induced landslides, Engng Geol., 336, 107562, DOI: 10.1016/j.enggeo.2024.107562
Zhang, A., Wang, X., Xu, C., Yang, Q., Guo, H. and Li, D., 2024. Near-Real Prediction of Earthquake-Triggered Landslides on the Southeastern Margin of the Tibetan Plateau, Remote Sensing, 16, 10, 1683, DOI: 10.3390/rs16101683
Wang, Z., Lei, X., Ma, S., Fu, H., Hu, X., Wang, K., Mukuhira, Y. and He, C., 2024. Dynamic triggering of earthquakes and the role of overpressure fluids in active geothermal areas in Yunnan, China, Tectonophysics, 882, 230361, DOI: 10.1016/j.tecto.2024.230361
Zhang, Y., Yang, H., Lin, J., Xu, P., Liu, J., Zeng, Y., Fu, H., Yu, H. and He, Y., 2024. Susceptibility assessment of earthquake-induced landslide by using back-propagation neural network in the Southwest mountainous area of China, Bull. Eng. Geol. Environ., 83, 187, DOI: 10.1007/s10064-024-03687-w
Na, J., Cen, C., Shi, Z. and Feng, B., 2024. Distinct response of deep and shallow geothermal reservoir temperature following earthquakes in the Kangding Fault zone hydrothermal system, J. Hydrol. Reg. Stud., 52, 101743, DOI: 10.1016/j.ejrh.2024.101743
Guo, P., Han, Z., Zhan, Y., Wang, J., Niu, P. and Sun, X., 2024. Structural geometry and active faulting along the southern segment of the Longmenshan thrust belt: Insights into the seismotectonics of the 1327 Tianquan and 2013 Lushan earthquakes (eastern Tibetan Plateau, China), Tectonophysics, 871, 230179, DOI: 10.1016/j.tecto.2023.230179
Qiu, H., Su, L., Tang, B., Yang, D., Ullah, M., Zhu, Y. and Kamp, U., 2024. The effect of location and geometric properties of landslides caused by rainstorms and earthquakes, Earth Surf. Processes Landforms, 49, 7, 2067-2079, DOI: 10.1002/esp.5816
Luo, G., Xu, Y., Luo, H., Ding, F. and Li, W., 2024. Spatio-temporal characteristics of seismic strain anomalies reveal seismic risk zones along the Longmenshan fault zone and adjacent areas, Front. Earth Sci., 12, 1269753, DOI: 10.3389/feart.2024.1269753
Na, J., Jiang, X., Shi, Z. and Chen, Y., 2024. Reactive Transport Process of Earthquake‐induced Hydro‐chemical Changes in Guanding Thermal Spring, Western Sichuan, China, Acta Geol. Sin., 98, 1, 241-249, DOI: 10.1111/1755-6724.15121
Li, L., Wang, B., Peng, Z., Hou, J. and Wang, F., 2024. Statistical Features of Seismicity Associated with Large Earthquakes on the Chinese Continent between 2008 and 2019 Based on Newly Detected Catalogs, Seismol. Res. Lett., 95, 3, 1701-1717, DOI: 10.1785/0220230189
Zhan, Y., Sun, X., Zhao, G., Zhao, L., Yang, X., Yang, H., Jiang, D. and Lou, X., 2024. Electrical Structure of Southwestern Longmenshan Fault Zone: Insights into Seismogenic Structure of 2013 and 2022 Lushan Earthquakes, Remote Sensing, 16, 2, 370, DOI: 10.3390/rs16020370
Liu, S. and Tang, C.-C., 2024. Deep Postseismic Creep Following Large Earthquakes Revealed by Repeating Aftershocks in the Southeastern Tibetan Plateau, Seismol. Res. Lett., 95, 1, 397-407, DOI: 10.1785/0220230075
Zhang, Y., Zhu, K., Marchetti, D., Zhang, D., Fan, M., Wang, T., Zhang, H., Chen, W., Yang, B. and Cheng, Y., 2024. Carbon Monoxide Anomalies for the 2013 Mw =6.7 Lushan Earthquake Using MSSA-RST Approach, IEEE Trans. Geosci. Remote Sens., 62, 4112420, DOI: 10.1109/tgrs.2024.3492254
Yu, Z., Jiang, Y., Jing, X. and Zheng, H., 2024. Study on Geomagnetic Observations Associated With Three Major Earthquakes in Southwest China Through a Novel Deep Learning Framework, IEEE Trans. Geosci. Remote Sens., 62, 2005118, DOI: 10.1109/tgrs.2024.3411705
Haiping, M., Guojie, M., Hui, Z., Jiayan, L. and Qian, W., 2024. The relationship between crustal deformation characteristics and strong earthquakes in western China revealed by GNSS, Sci. Rep., 14, 28356, DOI: 10.1038/s41598-024-78457-5
Fu, L., Xie, J.-J., Chen, S., Zhang, B., Zhang, X. and Li, X.-J., 2023. Analysis of site amplification coefficient characteristics of Sichuan and its application in strong ground-motion simulation: A case study of 2022 Lushan Ms 6.1 earthquake, Chinese J. Geophys., 66, 7, 2933-2950, DOI: 10.6038/cjg2022Q0435
Xu, Z., Liu, J., Yalikun, A., Li, X., Ren, J. and Wen, X., 2023. Determination of the major axis direction and macroseismic epicenter of the assessed intensity map based on relocated aftershock sequences, Front. Earth Sci., 11, 1128827, DOI: 10.3389/feart.2023.1128827
Dai, K., Guo, R., Zou, X., Tang, X., Xu, X., Liu, D., Zheng, Y. and Xu, J., 2023. The Source Characteristics of the 2022 Ms 6.1 Lushan Earthquake: An Event That Occurred on the Conjugated Fault of the 2013 Ms 7.0 Lushan Earthquake, Seismol. Res. Lett., 94, 5, 2181-2191, DOI: 10.1785/0220220393
Yang, H., Xiong, S., Liu, Q., Li, F., Jia, Z., Yang, X., Yan, H. and Li, Z., 2023. The crustal structure of the Longmenshan fault zone and its implications for seismogenesis: new insight from aeromagnetic and gravity data, Solid Earth, 14, 12, 1289-1308, DOI: 10.5194/se-14-1289-2023
Wang, L., Chen, S., Zhuang, J., Zhang, B., Shi, W., Yang, J. and Xu, W., 2023. Gravity field changes reveal deep mass transfer before and after the 2013 Lushan earthquake, Commun. Earth Environ., 4, 194, DOI: 10.1038/s43247-023-00860-z
Wang, X., Wang, X., Zhang, X., Wang, L., Guo, H. and Li, D., 2023. Near real-time spatial prediction of earthquake-induced landslides: A novel interpretable self-supervised learning method, Int. J. Digit. Earth, 16, 1, 1885-1906, DOI: 10.1080/17538947.2023.2216029
Su, Z., Bürgmann, R. and Wang, E., 2023. The Origin of Seismic and Tectonic Activity Underlying the Sichuan Basin, Central China, Tectonics, 42, 5, e2022TC007629, DOI: 10.1029/2022TC007629
Wang, L. and Li, H., 2023. GBO algorithm for seismic source parameters inversion, Geodesy and Geodynamics, 14, 2, 182-190, DOI: 10.1016/j.geog.2022.06.004
Luo, G., Ding, F., Ma, H. and Yang, M., 2023. Pre-quake frequency characteristics of Ms≥7.0 earthquakes in mainland China, Front. Earth Sci., 10, 992858, DOI: 10.3389/feart.2022.992858
Yuhong, Z., Weigang, S., Lili, F., Xia, L., Lei, L. and Xihao, S., 2023. Estimating stress drop of the 2013 Lushan earthquake sequence based on the empirical Green’s function spectral ratio method, Acta seism. sin., 45, 1, 98-106, DOI: 10.11939/jass.20210155
Sun, Y., Gong, W., Wei, F. and Jiang, W., 2023. Seismic Hazards Along the Longmen Shan Fault: Insights from Stress Transfer Between Major Earthquakes and Regional b-Values, Pure appl. Geophys., 180, 10, 3457-3475, DOI: 10.1007/s00024-023-03357-0
Wei, G., Chen, K. and Meng, H., 2023. Bayesian Inversion of Finite‐Fault Earthquake Slip Model Using Geodetic Data, Solving for Non‐Planar Fault Geometry, Variable Slip, and Data Weighting, J. geophys. Res.: Solid Earth, 128, 2, e2022JB025225, DOI: 10.1029/2022JB025225
Zhou, H., Che, A., Shuai, X. and Zhang, Y., 2023. A spatial evaluation method for earthquake disaster using optimized BP neural network model, Geomatics Natural Hazards Risk, 14, 1, 1-26, DOI: 10.1080/19475705.2022.2160664
Zhang, Y. and Huang, Q., 2023. Seismicity Changes before Major Earthquakes in Sichuan, China, Revealed by a Combination of the RTL Algorithm and ETAS Model, Seismol. Res. Lett., 94, 2A, 844-851, DOI: 10.1785/0220220282
Zhang, Y., Wang, T., Chen, W., Zhu, K., Marchetti, D., Cheng, Y., Fan, M., Wang, S., Wen, J., Zhang, D. and Zhang, H., 2023. Are There One or More Geophysical Coupling Mechanisms before Earthquakes? The Case Study of Lushan (China) 2013, Remote Sensing, 15, 6, 1521, DOI: 10.3390/rs15061521
Zhang, G., Wang, X., Zhou, J., Tang, Y., Ma, Y., Zhang, X., Li, D., Huang, C. and Cai, X., 2023. Three-dimensional electrical structure and seismogenic environment of the crust–mantle in the Lushan earthquake region, China, Tectonophysics, 856, 229813, DOI: 10.1016/j.tecto.2023.229813
Zhao, B., Su, L., Xu, Q., Li, W., Xu, C. and Wang, Y., 2023. A review of recent earthquake-induced landslides on the Tibetan Plateau, Earth Sci. Rev., 244, 104534, DOI: 10.1016/j.earscirev.2023.104534
Hao, G., Wang, P., Hu, X., Guo, J., Wang, G. and Tan, S., 2022. Time–frequency characteristics and trend feature of the ENPEMF signal before Lushan Mw 6.6 earthquake via DE-DDTFA method, Natural Hazards, 110, 3, 1869-1885, DOI: 10.1007/s11069-021-05016-w
Jin, X., Bu, J., Qiu, G., Ma, L., Chen, Z., Chen, T., Wu, J., Pan, B., Ji, H., Tian, J., Wu, X., Li, Z., Zhang, L., Liu, C., Zhao, X. and Cheng, X., 2022. Non-normal distribution of radon and residual radon and short-term abnormal precursors of residual radon before major earthquakes, Earth Sci. Inf., 15, 4, 2495-2511, DOI: 10.1007/s12145-022-00842-3
Lv, J., Gao, Z., Yang, C., Wei, Y. and Peng, J., 2022. Investigation of Displacement and Ionospheric Disturbance during an Earthquake Using Single-Frequency PPP, Remote Sensing, 14, 17, 4286, DOI: 10.3390/rs14174286
Xiao, X., Sun, L., Wang, X. and Wen, L., 2022. Simultaneous inversion for surface wave phase velocity and earthquake centroid parameters: Methodology and application, J. geophys. Res.: Solid Earth, 127, 9, e2022JB024018, DOI: 10.1029/2022JB024018
Wang, J., Ma, Q., Tao, D., Xie, Q. and Ren, X., 2022. Weak Predictability of Rupture Growth Evidenced by P Waves: Implications for Earthquake Early Warning, Bull. seism. Soc. Am., 112, 5, 2653-2667, DOI: 10.1785/0120210316
Wei, M.-Y., Wu, J., Ai, Y.-S., Liu, G.-M., Qian, Q.-W., Sun, Y.-J. and Chen, X.-F., 2022. Temporal and spatial distribution characteristics and significance of aftershocks of great earthquakes on different edges of Songpan-Garzê block, Chinese J. Geophys., 65, 8, 2872-2885, DOI: 10.6038/cjg2022P0745
Wei, G., Chen, K., Zou, R., Song, J. and Li, Y., 2022. On the Potential of Rapid Moment Magnitude Estimation for Strong Earthquakes in Sichuan–Yunnan Region, China, Using Real-Time CMONOC GNSS Observations, Seismol. Res. Lett., 93, 5, 2659-2669, DOI: 10.1785/0220210210
Zhong, Q., Lin, J., Shi, B. and Shen, W., 2022. Quadratic Stress Drop Model of the 2013 Mw 6.6 Lushan Earthquake and Aftershocks Triggered by Blind Thrust Events, Pure appl. Geophys., 179, 4, 1147-1157, DOI: 10.1007/s00024-022-02992-3
Liu, G. and Wang, Z., 2022. Spatiotemporal variation of seismic velocity and Poisson’s ratio in the eastern margin of Tibetan Plateau: Implication for seismotectonics, J. Asian Earth Sci., 229, 105186, DOI: 10.1016/j.jseaes.2022.105186
Duan, H.-R., Chen, J.-Y., Zhang, S.-C., Wu, X.-L. and Chu, Z.-M., 2022. Coseismic fault slip inversion of the 2013 Lushan Ms 7.0 earthquake based on the triangular dislocation model, Sci. Rep., 12, 3514, DOI: 10.1038/s41598-022-07458-z
Hao, G., Guo, J., Zhang, W., Chen, Y. and Yuen, D.A., 2022. High-precision chaotic radial basis function neural network model: Data forecasting for the Earth electromagnetic signal before a strong earthquake, Geosci. Front., 13, 1, 101315, DOI: 10.1016/j.gsf.2021.101315
Zhu, J., Li, S., Ma, Q., He, B. and Song, J., 2022. Support Vector Machine-Based Rapid Magnitude Estimation Using Transfer Learning for the Sichuan–Yunnan Region, China, Bull. seism. Soc. Am., 112, 2, 894-904, DOI: 10.1785/0120210232
Sun, B., Spencer, B.F., Yan, P., Chen, X. and Zhang, G., 2022. Analysis of the Seismic Vulnerability of Buildings in the Lushan Ms7.0 Earthquake in the Sichuan Province of China, J. Earthq. Eng., 26, 2, 764-792, DOI: 10.1080/13632469.2019.1692742
Yang, S., Hu, J., Zhang, H. and Liu, G., 2021. Simultaneous earthquake detection on multiple stations via a convolutional neural network, Seismol. Res. Lett., 92, 1, 246-260, DOI: 10.1785/0220200137
Jin, Y., Ma, X., Luo, B., Zhang, G., Wei, R., Li, D., Zhang, H., Newman, C., Buesching, C. and Liu, D., 2021. Seismic sentinel? An analysis of captive giant panda behavior in response to the Lushan earthquake in China, Earthq. Science, 34, 6, 522-530, DOI: 10.29382/eqs-2021-0037
Peng, C., Yin, Z.-Q., Zhang, X.-J., Shao, H. and Pang, M.-F., 2021. A comparative study of the main factors controlling geohazards induced by seismic events in Western China since the Wenchuan earthquake, China Geology, 5, 1-15, DOI: 10.31035/cg2022009
Xu, D., Li, S., Ta, L., Luo, S., Zhan, W., Zhu, W. and Shen, X., 2021. Crustal deformation characteristics in the southwest segment of the Longmenshan structural belt before Lushan Mw 6.6 earthquake and seismogenic structural model, Acta Geophys., 69, 5, 1597-1608, DOI: 10.1007/s11600-021-00654-x
Hui, C., Cheng, C., Shen, S., Gao, P., Chen, J., Yang, J. and Zhao, M., 2021. The effect of the Wenchuan and Lushan earthquakes on the size distribution of earthquakes along the Longmenshan fault, Applied Sciences, 11, 18, 8534, DOI: 10.3390/app11188534
Wang, T., Xie, X. and Ji, L., 2021. Stochastic finite‐fault simulation of the Ms 7.0 Lushan earthquake based on frequency and distance‐dependent radiation patterns, Bull. seism. Soc. Am., 111, 6, 3387-3402, DOI: 10.1785/0120210055
Liu, Y., Zhang, H., Kendall, J.M. and Wookey, J., 2021. Conjugate fault deformation revealed by aftershocks of the 2013 Mw6.6 Lushan earthquake and seismic anisotropy tomography, Geophys. Res. Lett., 48, 14, e2021GL092563, DOI: 10.1029/2021GL092563
Zheng, Y. and Guo, R., 2021. Earthquake potential of the seismic gap between the Wenchuan and Lushan earthquakes: Current status, thoughts, and challenges, Science China Earth Sciences, 64, 3, 503-506, DOI: 10.1007/s11430-020-9719-y
Yu, Z., Zhu, K., Hattori, K., Chi, C., Fan, M. and He, X., 2021. Borehole Strain Observations Based on a State-Space Model and ApNe Analysis Associated With the 2013 Lushan Earthquake, IEEE Access, 9, 12167-12179, DOI: 10.1109/access.2021.3051614
Jia, K., 2021. Modeling the spatiotemporal seismicity patterns of the Longmen Shan fault zone based on the Coulomb Rate and State Model, Seismol. Res. Lett., 92, 1, 275-286, DOI: 10.1785/0220200088
Zhou, L. and Xu, C., 2021. Inversion of fault geometric parameters based on mixture density networks: A case study of the 2013 Ms 7.0 Lushan earthquake in China, Pure appl. Geophys., 178, 1, 21-38, DOI: 10.1007/s00024-020-02639-1
Ma, C.-H., Qian, F. and Zhang, H.-M., 2021. Simulation of rupture process and its influence factors of the 2013 MS 7.0 Lushan earthquake, Chinese J. Geophys., 64, 1, 170-181, DOI: 10.6038/cjg2021O0114
Chang, M., Cui, P., Xu, L. and Zhou, Y., 2021. The spatial distribution characteristics of coseismic landslides triggered by the Ms 7.0 Lushan earthquake and Ms 7.0 Jiuzhaigou earthquake in southwest China, Environ. Sci. Pollut. Res., 28, 16, 20549-20569, DOI: 10.1007/s11356-020-11826-5
Lombardo, L., Tanyas, H., Huser, R., Guzzetti, F. and Castro-Camilo, D., 2021. Landslide size matters: A new data-driven, spatial prototype, Engng Geol., 293, 106288, DOI: 10.1016/j.enggeo.2021.106288
Xu, P., Du, F., Shu, Y., Zhang, H. and Shi, Y., 2021. Regularized reconstruction of peak ground velocity and acceleration from very high-rate GNSS precise point positioning with applications to the 2013 Lushan Mw 6.6 earthquake, J. Geod., 95, 17, DOI: 10.1007/s00190-020-01449-6
Wang, L. and Zou, C., 2021. Accuracy estimation of earthquake source geometry parameters by the sterling interpolation method in nonlinear inversion, J. Surv. Eng., 147, 1, 04020019, DOI: 10.1061/(ASCE)SU.1943-5428.0000331
Lai, G., Lei, X., Jiang, C., Wang, W. and Gong, H., 2021. Multiple mechanisms of coseismic water level changes at the Rongchang well in a seismically active area in China, Tectonophysics, 819, 229083, DOI: 10.1016/j.tecto.2021.229083
Liu, Q., Chen, S., Chen, L., Liu, P., Yang, Z. and Lu, L., 2020. Detection of groundwater flux changes in response to two large earthquakes using long-term bedrock temperature time series, J. Hydrol., 590, 125245, DOI: 10.1016/j.jhydrol.2020.125245
Lu, R.-Q., Xu, X.-W., He, D.-F., Suppe, J., Tan, X.-B., Li, Y.-Q. and Wang, Z.-N., 2020. Seismotectonics of the 2013 Lushan Mw 6.7 Earthquake - A Hidden Earthquake, In: Lo CH., Xu X., Chang WY., Ando M. (eds) Earthquake Geology and Tectonophysics around Eastern Tibet and Taiwan. Springer, Singapore, 83-99, DOI: 10.1007/978-981-15-6210-5_5
Zhang, X.-Y., Hao, J.-L., Gao, X. and Wang, W., 2020. Evaluation of investigating magnitude, source mechanism and rupture process based on restored seismic data——Taking the 2013 Lushan MW 6.6 earthquake in Sichuan as an example, Chinese J. Geophys., 63, 6, 2262-2273, DOI: 10.6038/cjg2020N0402
Wang, J., Zheng, D.-C., Zhang, J.-C., Zhan, X.-Y. and Ting, Q., 2020. Seismic velocity changes in the epicentral region of the 2013 Lushan earthquake measured from ambient seismic noise, Chinese J. Geophys., 63, 2, 517-531, DOI: 10.6038/cjg2020N0275
Duan, H.-R., Zhou, S.-Y., Li, R., Chen, S.-L. and Yan, Q.-C., 2020. Relationship between the slip distribution of the Lushan earthquake fault and the Wenchuan earthquake fault, Chinese J. Geophys., 63, 1, 210-222, DOI: 10.6038/cjg2020N0042
Meng, L., Zang, Y., McGarr, A. and Zhou, L., 2020. High-frequency ground motion and source characteristics of the 2008 Wenchuan and 2013 Lushan, China, earthquakes, Pure appl. Geophys., 177, 81-93, DOI: 10.1007/s00024-019-02291-4
Wu, W., Long, F., Lianf, M., Wei, Y., Sun, W., Chen, X. and Zhao, J., 2020. Spatial and temporal variations in earthquake stress drops between the 2008 Wenchuan and 2013 Lushan earthquakes, Acta Geol. Sin., 94, 5, 1635-1650, DOI: 10.1111/1755-6724.14582
Li, J., Böse, M., Wyss, M., Wald, D.J., Hutchison, A., Clinton, J.F., Wu, Z., Jiang, C. and Zhou, S., 2020. Estimating rupture dimensions of three major earthquakes in Sichuan, China, for early warning and rapid loss estimates, Bull. seism. Soc. Am., 110, 2, 920-936, DOI: 10.1785/0120190117
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