Published

2020-04-01

Characteristics and Numerical Runout Modeling Analysis of the Xinmo Landslide in Sichuan, China

Características y análisis del modelado numérico del deslizamiento de tierra en Xinmo, provincia de Sichuan, China

DOI:

https://doi.org/10.15446/esrj.v24n2.78990

Keywords:

Ridge-top landslide, avalanche debris, Dynamic analysis, DAN-W model. (en)
deslizamiento de tierra, avalancha de detritos, análisis de dinámicas, modelo DAN-W (es)

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Authors

  • Longwei Yang Chang’an University
  • Wenpei Wang China Institute of Geo-Environment Monitoring
  • Nan Zhang China Institute of Geo-Environment Monitoring
  • Yunjie Wei China Institute of Geo-Environment Monitoring

A catastrophic landslide hit Mount Fugui, Diexi Township, Mao County, Sichuan Province at 05:38:58 on June 24, 2017. This landslide buried Xinmo village, caused 83 deaths and resulted in enormous loss to people’s lives and properties. The Xinmo landslide was an earthquake-induced shattered mountain formed in the epicenter zone of the 1933 Ms7.5 Diexi earthquake (with an intensity of level X) and the strong motion zone of the Ms8.0 Wenchuan earthquake (with an intensity of level IX).The landslide mass cut out and slid from a high position, loaded continuously and accumulated at the top of the slope body. Subsequently, the landslide mass was transformed into avalanche debris, which clogged Songpinggou and thus formed a landslide dam, indicating a typical chain disaster of avalanche debris triggered by a ridge-top landslide. The total volume, elevation difference and horizontal distance of the landslide were 1637.6×104m3, 1200 m and 2800m, respectively. The authors of this study identified the disaster-formation mechanism of the Xinmo Landslide based on a field geological survey, remote sensing satellites and the other means. The authors analyzed the disaster characteristics of the landslide source zone, avalanche debris zone and accumulation zone, numerically simulated and comparatively studied the whole process of the Xinmo Landslide movement using DAN-W, i.e., dynamic landslide software, and multiple groups of rheological models. The research findings indicated that the friction model was able to favorably simulate the movement characteristics of various phases of the Xinmo Landslide; this landslide lasted approximately 120 s and had a maximum velocity of movement of 74 m/s. As a result, the friction model and its parameters can be used in similar studies on dynamic disaster effects of ridge-top rock landslides.

Un deslizamiento de tierra catastrófico afectó el Monte Fugui, de la localidad Diexi, en el condado Mao de la provincia china de Sichuan, a las 05:38:58 hora local del 24 de junio de 2017. Este deslizamiento enterró la población de Xinmo, causó 83 muertos y significó enormes pérdidas de propiedades. La masa del deslizamiento se desprendió en lo alto de la montaña, se continuó cargando y se acumuló en la parte alta de la pendiente. Seguidamente, la masa del deslizamiento se transformó en una avalancha de detritos. Esta fue una cadena típica de un desastre ocasionado por una avalancha de detritos que comenzó por un deslizamiento en lo alto de la montañana. El volumen total, la diferencia de elevación y la distancia horizontal del deslizamiento fueron de 1637.6 × 104 m3, 1200 m, and 2800 m. En este trabajo se identificó el mecanismo de formación del deslizamiento de Xinmo con base en un estudio de campo geológico y con el apoyo de satélites de teledetección. Los autores simularon numéricamente las características del desastre en la zona fuente, en la zona de la avalancha y en la zona de acumulación. Todo el proceso del deslizamiento de Xinmo fue estudiado comparativamente con el programa DAN-W, que analiza dinámicas de deslizamiento, y múltiples modelos reológicos. Los resultados del estudio indican que el modelo friccional simuló favorablemente las características del movimiento en varias fases del deslizamiento de Xinmo. Este movimiento duró por lo menos 120 segundos, y tuvo una velocidad máxima de movimiento de 74 m/s. Además, el modelo friccional y sus parámetros se pueden usar en estudios similares para investigar los efectos dinámicos de un movimiento de tierra en la parte alta de una montaña.  

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APA

Yang, L., Wang, W., Zhang, N. and Wei, Y. (2020). Characteristics and Numerical Runout Modeling Analysis of the Xinmo Landslide in Sichuan, China. Earth Sciences Research Journal, 24(2), 169–181. https://doi.org/10.15446/esrj.v24n2.78990

ACM

[1]
Yang, L., Wang, W., Zhang, N. and Wei, Y. 2020. Characteristics and Numerical Runout Modeling Analysis of the Xinmo Landslide in Sichuan, China. Earth Sciences Research Journal. 24, 2 (Apr. 2020), 169–181. DOI:https://doi.org/10.15446/esrj.v24n2.78990.

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Yang, L.; Wang, W.; Zhang, N.; Wei, Y. Characteristics and Numerical Runout Modeling Analysis of the Xinmo Landslide in Sichuan, China. Earth sci. res. j. 2020, 24, 169-181.

ABNT

YANG, L.; WANG, W.; ZHANG, N.; WEI, Y. Characteristics and Numerical Runout Modeling Analysis of the Xinmo Landslide in Sichuan, China. Earth Sciences Research Journal, [S. l.], v. 24, n. 2, p. 169–181, 2020. DOI: 10.15446/esrj.v24n2.78990. Disponível em: https://revistas.unal.edu.co/index.php/esrj/article/view/78990. Acesso em: 15 jul. 2024.

Chicago

Yang, Longwei, Wenpei Wang, Nan Zhang, and Yunjie Wei. 2020. “Characteristics and Numerical Runout Modeling Analysis of the Xinmo Landslide in Sichuan, China”. Earth Sciences Research Journal 24 (2):169-81. https://doi.org/10.15446/esrj.v24n2.78990.

Harvard

Yang, L., Wang, W., Zhang, N. and Wei, Y. (2020) “Characteristics and Numerical Runout Modeling Analysis of the Xinmo Landslide in Sichuan, China”, Earth Sciences Research Journal, 24(2), pp. 169–181. doi: 10.15446/esrj.v24n2.78990.

IEEE

[1]
L. Yang, W. Wang, N. Zhang, and Y. Wei, “Characteristics and Numerical Runout Modeling Analysis of the Xinmo Landslide in Sichuan, China”, Earth sci. res. j., vol. 24, no. 2, pp. 169–181, Apr. 2020.

MLA

Yang, L., W. Wang, N. Zhang, and Y. Wei. “Characteristics and Numerical Runout Modeling Analysis of the Xinmo Landslide in Sichuan, China”. Earth Sciences Research Journal, vol. 24, no. 2, Apr. 2020, pp. 169-81, doi:10.15446/esrj.v24n2.78990.

Turabian

Yang, Longwei, Wenpei Wang, Nan Zhang, and Yunjie Wei. “Characteristics and Numerical Runout Modeling Analysis of the Xinmo Landslide in Sichuan, China”. Earth Sciences Research Journal 24, no. 2 (April 1, 2020): 169–181. Accessed July 15, 2024. https://revistas.unal.edu.co/index.php/esrj/article/view/78990.

Vancouver

1.
Yang L, Wang W, Zhang N, Wei Y. Characteristics and Numerical Runout Modeling Analysis of the Xinmo Landslide in Sichuan, China. Earth sci. res. j. [Internet]. 2020 Apr. 1 [cited 2024 Jul. 15];24(2):169-81. Available from: https://revistas.unal.edu.co/index.php/esrj/article/view/78990

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