Cuiping Zhao
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Cuiping Zhao has a total of 14 co-authors. Here are the top co-authors by number of shared publications:
Jun Luo
Institute of Earthquake Forecasting, China Earthquake Administration, Beijing100036, China
3 shared publicationsLianqing Zhou
Institute of Earthquake Forecasting, China Earthquake Administration, Beijing100036, China
2 shared publicationsCe Zhao
Institute of Geophysics, China Earthquake Administration, Beijing100081, China
1 shared publicationJian Lü
Earthquake Administration of Jiangxi Province, Nanchang, China
1 shared publication- Lianqing Zhou
Institute of Earthquake Forecasting, China Earthquake Administration, Beijing, China
1 shared publication - Lianqing Zhou
Institute of Earthquake Forecasting, China Earthquake Administration, Mailbox 166, No. 63, Fuxing Avenue, Beijing 100036, China,@cea-ies.ac.cn
1 shared publication
Latest Publications
- 18 October 2021
- Published by Oxford University Press (OUP) in Geophysical Journal International
- Vol. 228 (3) , 1637-1647
Machine-learning-based earthquake locations reveal the seismogenesis of the 2020 Mw 5.0 Qiaojia, Yunnan earthquake
A moment magnitude (Mw) 5.0 earthquake hit Qiaojia, Yunnan, China on 18 May 2020. Its hypocentre is only approximately 20 km away from the Baihetan reservoir, the second largest hydropower station in China. The Baihetan Reservoir is located at the junction of multiple fault zones on the eastern boundary of the Sichuan-Yunnan rhombic block, an area with high background seismic activity. The Baihetan Reservoir was planned to be impounded in April 2021 and the Mw 5.0 earthquake occurred during its water-retaining. Thus, it is critical to investigate the seismogenesis of the Qiaojia Mw 5.0 main shock and evaluate the risk of inducing earthquakes near the Baihetan Reservoir after impoundment. In this study, we built a complete and accurate earthquake catalogue to analyse seismicity in the reservoir area before and after the Mw 5.0 Qiaojia earthquake. We adopted a machine learning-based seismic phase picker, PhaseNet, to automatically detect seismic picks from continuous raw seismic data. Seismic phase picks were associated and located using sequential earthquake association and location methods, including REAL, VELEST and hypoDD. We eventually obtained high-precision locations of 1640 earthquakes by the hypoDD. The distribution of earthquake locations indicates that a concealed fault nearly vertical to the surface accommodated the Mw 5.0 Qiaojia main shock. The majority of its aftershocks is located within a narrow depth range of 8–13 km, indicating that the stresses in the hypocentral area were concentrated near the hypocentre of the Mw 5.0 earthquake. Along with focal mechanism solutions, we suggested that the Mw 5.0 Qiaojia earthquake is more likely a tectonic earthquake. However, we cannot exclude the possibility that earthquakes could be induced after the impoundment of Baihetan Reservoir, because the identified concealed fault is located in the middle of many large fault zones and only 20 km away from the Baihetan Reservoir.
- 18 October 2021
- Published by Oxford University Press (OUP) in Geophysical Journal International
- Vol. 228 (3) , 1637-1647
Machine-learning-based earthquake locations reveal the seismogenesis of the 2020 Mw 5.0 Qiaojia, Yunnan earthquake
A moment magnitude (Mw) 5.0 earthquake hit Qiaojia, Yunnan, China on 18 May 2020. Its hypocentre is only approximately 20 km away from the Baihetan reservoir, the second largest hydropower station in China. The Baihetan Reservoir is located at the junction of multiple fault zones on the eastern boundary of the Sichuan-Yunnan rhombic block, an area with high background seismic activity. The Baihetan Reservoir was planned to be impounded in April 2021 and the Mw 5.0 earthquake occurred during its water-retaining. Thus, it is critical to investigate the seismogenesis of the Qiaojia Mw 5.0 main shock and evaluate the risk of inducing earthquakes near the Baihetan Reservoir after impoundment. In this study, we built a complete and accurate earthquake catalogue to analyse seismicity in the reservoir area before and after the Mw 5.0 Qiaojia earthquake. We adopted a machine learning-based seismic phase picker, PhaseNet, to automatically detect seismic picks from continuous raw seismic data. Seismic phase picks were associated and located using sequential earthquake association and location methods, including REAL, VELEST and hypoDD. We eventually obtained high-precision locations of 1640 earthquakes by the hypoDD. The distribution of earthquake locations indicates that a concealed fault nearly vertical to the surface accommodated the Mw 5.0 Qiaojia main shock. The majority of its aftershocks is located within a narrow depth range of 8–13 km, indicating that the stresses in the hypocentral area were concentrated near the hypocentre of the Mw 5.0 earthquake. Along with focal mechanism solutions, we suggested that the Mw 5.0 Qiaojia earthquake is more likely a tectonic earthquake. However, we cannot exclude the possibility that earthquakes could be induced after the impoundment of Baihetan Reservoir, because the identified concealed fault is located in the middle of many large fault zones and only 20 km away from the Baihetan Reservoir.
- 30 January 2019
- Published by Oxford University Press (OUP) in Geophysical Journal International
- Vol. 217 (1) , 331-345
Crustal and upper mantle structure beneath the SE Tibetan Plateau from joint inversion of multiple types of seismic data
- 30 January 2019
- Published by Oxford University Press (OUP) in Geophysical Journal International
- Vol. 217 (1) , 331-345
Crustal and upper mantle structure beneath the SE Tibetan Plateau from joint inversion of multiple types of seismic data
- 3 July 2018
- Published by Seismological Society of America (SSA) in Bulletin of the Seismological Society of America
- Vol. 108 (5B) , 3029-3045
A Detailed Insight into Fluid Infiltration in the Three Gorges Reservoir Area, China, from 3D VP, VP/VS, QP, and QS Tomography
Combination of velocity, Poisson’s ratio, and attenuation structure is a powerful tool to investigate the characteristics of media, and it is especially useful to infer the lithology, porosity, water content of rocks, fluid infiltration depth, and distribution in the reservoir area. Using data from 4967 earthquakes recorded by a high‐density seismic network, we carried out high‐resolution 3D , , , and tomography research in the Three Gorges Reservoir area of China, where the world’s largest high‐capacity hydroelectric power station is located. We found two regions with significantly low , high , and low and ; one is the region between the Shuitianba fault and the western edge of the Huangling dome, and the other is the Badong region on the upstream Yangtze River, where more than 2000 earthquakes occurred in four months after the reservoir was first impounded. We infer that there is significant fluid infiltration in the two regions. The interior area of the Zigui basin is shown as a low‐ region at depths of 0–6 km, which is consistent with the depth to crystalline basement. The Three Gorges dam area is a region with moderately high , low , and prominently high and , demonstrating no obvious water infiltration around the dam area. Combining present results with previous studies, we draw a conclusion that the distance away from main rivers, lithologies, and the presence of faults are the main factors contributing to the fluid infiltration distribution beneath the reservoir region.- 3 July 2018
- Published by Seismological Society of America (SSA) in Bulletin of the Seismological Society of America
- Vol. 108 (5B) , 3029-3045
A Detailed Insight into Fluid Infiltration in the Three Gorges Reservoir Area, China, from 3D VP, VP/VS, QP, and QS Tomography
Combination of velocity, Poisson’s ratio, and attenuation structure is a powerful tool to investigate the characteristics of media, and it is especially useful to infer the lithology, porosity, water content of rocks, fluid infiltration depth, and distribution in the reservoir area. Using data from 4967 earthquakes recorded by a high‐density seismic network, we carried out high‐resolution 3D , , , and tomography research in the Three Gorges Reservoir area of China, where the world’s largest high‐capacity hydroelectric power station is located. We found two regions with significantly low , high , and low and ; one is the region between the Shuitianba fault and the western edge of the Huangling dome, and the other is the Badong region on the upstream Yangtze River, where more than 2000 earthquakes occurred in four months after the reservoir was first impounded. We infer that there is significant fluid infiltration in the two regions. The interior area of the Zigui basin is shown as a low‐ region at depths of 0–6 km, which is consistent with the depth to crystalline basement. The Three Gorges dam area is a region with moderately high , low , and prominently high and , demonstrating no obvious water infiltration around the dam area. Combining present results with previous studies, we draw a conclusion that the distance away from main rivers, lithologies, and the presence of faults are the main factors contributing to the fluid infiltration distribution beneath the reservoir region.- 1 August 2016
- Published by Springer Nature in Pure and Applied Geophysics
- Vol. 173 (8) , 2687-2710
Characteristics of Focal Mechanisms and the Stress Field in the Southeastern Margin of the Tibetan Plateau
- 1 August 2016
- Published by Springer Nature in Pure and Applied Geophysics
- Vol. 173 (8) , 2687-2710
Characteristics of Focal Mechanisms and the Stress Field in the Southeastern Margin of the Tibetan Plateau