Identification of Strong Motion Generation Area of the 2019 Hualien Earthquake

Saurabh Sharma; A. Joshi; S. Singh; C. M. Lin; C. H. Kuo; K. L. Wen

doi:10.1007/978-981-99-1459-3_32

Identification of Strong Motion Generation Area of the 2019 Hualien Earthquake

Saurabh Sharma, A. Joshi, S. Singh, C. M. Lin, C. H. Kuo, K. L. Wen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Strong motion generation areas are the extended areas with large uniform slip velocity within the entire rupture plane. The high-frequency ground motion due to these areas need to be studied to model the contribution of stress released with respect to the entire rupture plane. The study presented in this paper examines the high frequency ground motion resulting from the strong motion generation area (SMGA) located within the entire rupture plane that caused the Hualien earthquake. The eastern coast of Taiwan was hit by a strong earthquake of M_w (6.2) on April 18, 2019. The seismic activity of this earthquake was recorded by 107 stations of the Central Weather Bureau (CWB) around entire Taiwan region. The epicentral distance of stations recording this earthquake varies from 5 to 242 km. A total of 10 near-field stations have been used to investigate the source characteristics of this earthquake. The records from these near-field stations show the presence of two prominent phases in the horizontal components. These prominent phases have been termed as SMGA and are the source of high-frequency radiations (Miyake et al in Bull Seismol Soc Am 93(6):2531–2545 2003, [6]). The SH component obtained by the horizontal components has been numerically integrated to find the size of SMGAs. The displacement record obtained clearly shows the presence of two SMGAs. The seismic moment (M_o) related to these SMGAs is (3.60 ± 0.82) × 10¹⁷ Nm and (4.55 ± 0.7) × 10¹⁷ Nm, respectively.

Original language	English
Title of host publication	Proceedings of 17th Symposium on Earthquake Engineering (Vol. 4)
Editors	Manish Shrikhande, Pankaj Agarwal, P.C. Ashwin Kumar
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	397-409
Number of pages	13
ISBN (Print)	9789819914586
DOIs	https://doi.org/10.1007/978-981-99-1459-3_32
State	Published - 2023
Event	17th International Symposium on Earthquake Engineering, SEE 2022 - Roorkee, India Duration: 14 Nov 2022 → 17 Nov 2022

Publication series

Name	Lecture Notes in Civil Engineering
Volume	332 LNCE
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	17th International Symposium on Earthquake Engineering, SEE 2022
Country/Territory	India
City	Roorkee
Period	14/11/22 → 17/11/22

Keywords

2019 Hualien earthquake
Source parameters
Strong motion generation area

Access to Document

10.1007/978-981-99-1459-3_32

Cite this

Sharma, S., Joshi, A., Singh, S., Lin, C. M., Kuo, C. H., & Wen, K. L. (2023). Identification of Strong Motion Generation Area of the 2019 Hualien Earthquake. In M. Shrikhande, P. Agarwal, & P. C. A. Kumar (Eds.), Proceedings of 17th Symposium on Earthquake Engineering (Vol. 4) (pp. 397-409). (Lecture Notes in Civil Engineering; Vol. 332 LNCE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-1459-3_32

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title = "Identification of Strong Motion Generation Area of the 2019 Hualien Earthquake",

abstract = "Strong motion generation areas are the extended areas with large uniform slip velocity within the entire rupture plane. The high-frequency ground motion due to these areas need to be studied to model the contribution of stress released with respect to the entire rupture plane. The study presented in this paper examines the high frequency ground motion resulting from the strong motion generation area (SMGA) located within the entire rupture plane that caused the Hualien earthquake. The eastern coast of Taiwan was hit by a strong earthquake of Mw (6.2) on April 18, 2019. The seismic activity of this earthquake was recorded by 107 stations of the Central Weather Bureau (CWB) around entire Taiwan region. The epicentral distance of stations recording this earthquake varies from 5 to 242 km. A total of 10 near-field stations have been used to investigate the source characteristics of this earthquake. The records from these near-field stations show the presence of two prominent phases in the horizontal components. These prominent phases have been termed as SMGA and are the source of high-frequency radiations (Miyake et al in Bull Seismol Soc Am 93(6):2531–2545 2003, [6]). The SH component obtained by the horizontal components has been numerically integrated to find the size of SMGAs. The displacement record obtained clearly shows the presence of two SMGAs. The seismic moment (Mo) related to these SMGAs is (3.60 ± 0.82) × 1017 Nm and (4.55 ± 0.7) × 1017 Nm, respectively.",

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Sharma, S, Joshi, A, Singh, S, Lin, CM, Kuo, CH & Wen, KL 2023, Identification of Strong Motion Generation Area of the 2019 Hualien Earthquake. in M Shrikhande, P Agarwal & PCA Kumar (eds), Proceedings of 17th Symposium on Earthquake Engineering (Vol. 4). Lecture Notes in Civil Engineering, vol. 332 LNCE, Springer Science and Business Media Deutschland GmbH, pp. 397-409, 17th International Symposium on Earthquake Engineering, SEE 2022, Roorkee, India, 14/11/22. https://doi.org/10.1007/978-981-99-1459-3_32

Identification of Strong Motion Generation Area of the 2019 Hualien Earthquake. / Sharma, Saurabh; Joshi, A.; Singh, S. et al.
Proceedings of 17th Symposium on Earthquake Engineering (Vol. 4). ed. / Manish Shrikhande; Pankaj Agarwal; P.C. Ashwin Kumar. Springer Science and Business Media Deutschland GmbH, 2023. p. 397-409 (Lecture Notes in Civil Engineering; Vol. 332 LNCE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Sharma S, Joshi A, Singh S, Lin CM, Kuo CH, Wen KL. Identification of Strong Motion Generation Area of the 2019 Hualien Earthquake. In Shrikhande M, Agarwal P, Kumar PCA, editors, Proceedings of 17th Symposium on Earthquake Engineering (Vol. 4). Springer Science and Business Media Deutschland GmbH. 2023. p. 397-409. (Lecture Notes in Civil Engineering). doi: 10.1007/978-981-99-1459-3_32

Identification of Strong Motion Generation Area of the 2019 Hualien Earthquake

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